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description Publicationkeyboard_double_arrow_right Article , Other literature type 2017Publisher:MDPI AG Baohua Xie; Jiangxin Gu; Junbao Yu; Guangxuan Han; Xunhua Zheng; Yu Xu; Haitao Lin;doi: 10.3390/atmos8100181
Land use changes from cropland to orchards in Eastern China have raised serious concerns about the regional nitrogen (N) cycle and greenhouse gas balance. We measured soil nitrous oxide (N2O) emissions and methane (CH4) uptake using manual static chambers in an apple orchard. The primary aims were to assess the effect of N fertilizer application on gas fluxes and quantify the site-specific N2O emission factor (EFd). Field experiments were arranged in a randomized block design with three N input rates (0, 800 and 2600/2000 kg N ha−1 year−1). We found that orchard soils were a negligible CH4 sink (−1.1 to −0.4 kg C ha−1 year−1). Annual N2O emissions responded positively to N input rates, ranging from 34.1 to 60.3 kg N ha−1 year−1. EFd ranged from 1.00% to 1.65% with a mean of 1.34%. The extremely large background emissions of N2O (34.1–34.3 kg N ha−1 year−1) most likely originated from nitrate accumulation in the soil profile because of historical overuse of N fertilizer. We conclude that (1) site-specific EFd is suitable for assessing regional direct N2O emissions from upland orchards; and (2) conventional fertilization regimes must be avoided, and reduced N input rates are recommended in the study region.
Atmosphere arrow_drop_down AtmosphereOther literature type . 2017License: CC BYFull-Text: http://www.mdpi.com/2073-4433/8/10/181/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 23 citations 23 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert Atmosphere arrow_drop_down AtmosphereOther literature type . 2017License: CC BYFull-Text: http://www.mdpi.com/2073-4433/8/10/181/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2023Publisher:Frontiers Media SA Funded by:EC | IntelCompEC| IntelCompPapadaki, Lydia; Stavridis, Charalampos; Koundouri, Phoebe; Grypari, Ioanna; Kazbek, Madina; Papageorgiou, Haris; Theodossiou, Nicolaos;The phenomena of climate change transcend all national and regional boundaries. To address this complex challenge, we must determine the areas of the country of interest, in this case, Greece, that have been most adversely affected by climate. Greece is surrounded by water, and a significant part of its GDP is derived from the marine and maritime industries, including tourism. Since the start of the IntelComp project, a Preparatory Living Lab (PLL) has been planned and delivered, feeding into the development of the IntelComp platform and the Living Lab on Climate Change Adaptation. The study's results lead to the conclusion that one of the most important challenges in tackling climate change is the decarbonisation challenge, specifically the shift to renewable energy sources and the investments that must be made. Several EU and national policy frameworks, including the European Green Deal, the Climate Law, the National Long-term Strategy for 2050 (on the Climate and Energy), highlight the decarbonisation as one of the major challenges in the climate change pledge. This will be the primary subject of the IntelComp climate change case study. PLLs also led to the identification of policy questions and useful data sources to aid the IntelComp project's launch. While previous research on co-production has primarily focused on involving citizens through public participation processes in order to gain their support, trust, and insights in structured decision-making processes, our approach opens a new channel for incorporating external knowledge into problem-solving processes. The IntelComp project will aid in policy development by providing pertinent tools co-developed with the final users that will provide insights and analysis in the field of STI (Science, Technology, Innovation) encompassing all of the Energy areas mentioned above.
Frontiers in Environ... arrow_drop_down Frontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyFrontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Frontiers in Environ... arrow_drop_down Frontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyFrontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Zhiqiang Chen; Chengcheng Wang; Wei Jia; Le Cheng; Fan Guo; Linshen Xie; Wei Wu; Wei Chen;doi: 10.3390/en15062202
In order to further improve the insulation performance of fiber reinforce plastic (FRP) materials used in electromagnetic pulse (EMP) simulators, the flashover characteristics of FRP materials with different surface roughness and groove, i.e., those who are easily achieved and have a prominent effect, are investigated in 0.1 MPa SF6 under nanosecond pulse voltage with a rise time of 20–30 ns. The experimental results show that surfaces with different roughness have no significant influence on the flashover voltages of the FRP insulators, and both the convex grooves made of FRP and the convex grooves with nylon rings inlaid to form projections can improve the surface flashover voltage of epoxy FRP insulators under nanosecond pulse, in which the effect of the former surface is more obvious. For the insulators with convex grooves made of FRP, it is found that the root of the FRP protrusions breaks down after a number of shots with the occurrence of carbonization channels and spots, which is nonexistent for the nylon projections. Combined with the test results of surface characteristics, the surface roughness and the secondary electron emission yield (SEEY) are not key factors of flashover characteristics in SF6 under nanosecond pulse, arguably due to the fact that the energy needed for an incident electron to ionize an SF6 molecule is lower than that to excite two secondary electrons. Hence, the flashover performance cannot be improved by adjusting the surface roughness, and the flashover channel is principally governed by the macroscopic distribution of electrical field which can be changed by the convex groove. Breakdown phenomena of FRP protrusions indicate that the bulk insulation performance of resin FRP is weaker compared to pure resin because of its composite structure, as well as the impurities and voids introduced in the manufacturing process. The results are instructive for the design of FRP insulation structures in the compact EMP simulator.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/6/2202/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/6/2202/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Research , Preprint 2021Embargo end date: 01 Jan 2020Publisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | AMVA4NewPhysics, EC | INSIGHTS, EC | LHCTOPVLQEC| AMVA4NewPhysics ,EC| INSIGHTS ,EC| LHCTOPVLQSirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Dragicevic, M.; Ero, J.; Del Valle, A. Escalante; Fruhwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Madlener, T.; Mikulec, I; Pitters, F. M.; Rad, N.; Schieck, J.; Schofbeck, R.; Spanring, M.; Templ, S.; Waltenberger, W.; Wulz, C-E; Zarucki, M.; Chekhovsky, V; Litomin, A.; Makarenko, V; Gonzalez, J. Suarez; Darwish, M. R.; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Kello, T.; Lelek, A.; Pieters, M.; Sfar, H. Rejeb; Van Haevermaet, H.; Van Mechelen, P.; Van Putte, S.; Van Remortel, N.; Blekman, F.; Bols, E. S.; Chhibra, S. S.; D'Hondt, J.; De Clercq, J.; Lontkovskyi, D.; Lowette, S.; Marchesini, I; Moortgat, S.; Morton, A.; Python, Q.; Tavernier, S.; Van Doninck, W.; Van; Mulders, P.; Beghin, D.; Bilin, B.; Clerbaux, B.; De; Lentdecker, G.; Dorney, B.; Favart, L.; Grebenyuk, A.; Kalsi, A. K.; Makarenko, I; Moureaux, L.; Petre, L.; Popov; A.; Postiau, N.; Starling, E.; Thomas, L.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Wezenbeek, L.; Cornelis, T.; Dobur, D.; Gruchala, M.; Khvastunov, I; Niedziela, M.; Roskas, C.; Skovpen, K.; Tytgat, M.; Verbeke, W.; Vermassen; B.; Vit, M.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Delcourt, M.; Donertas, I. S.; Giammanco, A.; Lemaitre, V; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.; Vischia, P.; Wuyckens, S.; Zobec, J.; Alves, G. A.; Correia Silva, G.; Hensel, C.; Moraes, A.; Alda Junior, W. L.; Belchior Batista Das Chagas, E.; Brandao; Malbouisson, H.; Carvalho, W.; Chinellato, J.; Coelho, E.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; Fonseca De Souza, S.; Martins, J.; Matos Figueiredo, D.; Medina; Jaime, M.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Rebello Teles, P.; Sanchez Rosas, L. J.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Bernardes, C. A.; Calligaris, L.; Fernandez; Perez Tomei, T. R.; Gregores, E. M.; Lemos, D. S.; Mercadante; P. G.; Novaes, S. F.; Padula, Sandra S.; Aleksandrov, A.; Antchev, G.; Atanasov, I; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Bonchev, M.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Fang, W.; Guo, Q.; Wang, H.; Yuan, L.; Ahmad, M.; Hu, Z.; Wang, Y.; Chapon, E.; Chen; G. M.; Chen, H. S.; Chen, M.; Kapoor, A.; Leggat, D.; Liao, H.; Liu, Z.; Sharma, R.; Spiezia, A.; Tao, J.; Thomas-wilsker, J.; Wang, J.; Zhang, H.; Zhang, S.; Zhao, J.; Agapitos, A.; Ban, Y.; Chen, C.; Huang, Q.; Levin, A.; Li, Q.; Lu, M.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang; D.; Wang, Q.; Xiao, J.;doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
AbstractThe production of Z boson pairs in proton–proton ($${\mathrm{p}} {\mathrm{p}} $$ p p ) collisions, $${{\mathrm{p}} {\mathrm{p}} \rightarrow ({\mathrm{Z}}/\gamma ^*)({\mathrm{Z}}/\gamma ^*) \rightarrow 2\ell 2\ell '}$$ p p → ( Z / γ ∗ ) ( Z / γ ∗ ) → 2 ℓ 2 ℓ ′ , where $${\ell ,\ell ' = {\mathrm{e}}}$$ ℓ , ℓ ′ = e or $${{\upmu }}$$ μ , is studied at a center-of-mass energy of 13$$\,\text {TeV}$$ TeV with the CMS detector at the CERN LHC. The data sample corresponds to an integrated luminosity of 137$$\,\text {fb}^{-1}$$ fb - 1 , collected during 2016–2018. The $${\mathrm{Z}} {\mathrm{Z}} $$ Z Z production cross section, $$\sigma _{\text {tot}} ({\mathrm{p}} {\mathrm{p}} \rightarrow {\mathrm{Z}} {\mathrm{Z}} ) = 17.4 \pm 0.3 \,\text {(stat)} \pm 0.5 \,\text {(syst)} \pm 0.4 \,\text {(theo)} \pm 0.3 \,\text {(lumi)} \text { pb} $$ σ tot ( p p → Z Z ) = 17.4 ± 0.3 (stat) ± 0.5 (syst) ± 0.4 (theo) ± 0.3 (lumi) pb , measured for events with two pairs of opposite-sign, same-flavor leptons produced in the mass region $${60< m_{\ell ^+\ell ^-} < 120\,\text {GeV}}$$ 60 < m ℓ + ℓ - < 120 GeV is consistent with standard model predictions. Differential cross sections are also measured and agree with theoretical predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous $${\mathrm{Z}} {\mathrm{Z}} {\mathrm{Z}} $$ Z Z Z and $${{\mathrm{Z}} {\mathrm{Z}} \gamma }$$ Z Z γ couplings.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2021Publisher:Elsevier BV Authors: Xiangyu Zhu; Xuewei Liu;The accurate morphology identification of gas hydrate-bearing sediments (GHBS) has great significance in practical exploitation and subsequent resource evaluation. Previous studies have disclosed two main morphologies for gas hydrate in sediments: pore- and fracture-filling. However, the existing identification methods of gas hydrate’s morphology rarely consider their intrinsic differences in distribution characteristics. In this paper, a new method is proposed to identify the morphology of hydrate according to the scattered distribution of fracture dips for fracture-filling GHBS. Firstly, numerical simulations are performed to study the relationships between the morphology of hydrate and the sonic velocities. Considering the dip variation is within a certain range for fracture-filling hydrate, the theoretical curves show that the resulting mutation degrees between P- and S-wave velocities are inconsistent in fracture-filling GHBS, which is different from pore-filling GHBS. Then the modified estimation method for pointwise Lipschitz exponent α is introduced to capture their differences. The cross plots of Lipschitz exponent for P-wave velocity, α(Vp), and Lipschitz exponent for S-wave velocity, α(Vs), indicate that most of the dots representing pore-filling GHBS are evenly distributed near the line α(Vp)=α(Vs), while the dots representing fracture-filling GHBS are scattered outside the line α(Vp)=α(Vs). Based on these characteristics, a ratio method is put forward to differentiate the two types of hydrate. These hypotheses and methods are verified using the measured P- and S-wave velocities log data at different sites in Leg 204, Ocean Drilling Program (ODP), in the United States. Finally, the results of this new method agree closely with core data.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.Access Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2025Publisher:Wiley Jianfeng Hao; Han Liu; Weiji Sun; Runzhi Li; Zhanshan Shi; Shengjie Fang; Chunyu Guo;doi: 10.1002/ese3.2094
ABSTRACTThe multi‐field coupling relationship and temperature evolution mechanism of gas‐containing coal in areas affected by geological structures were investigated, focusing specifically on the engineering aspects of a reverse fault in the No. 3 coal seam at the Xinjing Coal Mine. An analysis was conducted to examine the thermal‐fluid‐solid coupling behavior of gas‐containing coal. A thermal‐fluid‐solid coupling model for gas‐containing coal, accounting for the effects of damage, was developed to simulate the incubation process of coal and gas outbursts within the fault zone during the advancement of the working face. The study has indicated that faults not only degrade the mechanical properties of the surrounding coal‐rock mass, but also disrupt the continuity of coal seam stress. Gas tends to accumulate near fault zones, resulting in differences in the gas pressure and content on either side of the fault, thereby substantially increasing the likelihood of coal and gas outbursts. The primary factors influencing temperature variations include deformation energy, energy from gas expansion, thermal convection, thermal conduction, and the thermal effects associated with adsorption and desorption. Among these factors, the endothermic effect associated with adsorption and desorption significantly influences the temperature fluctuations in coal. The results of this study provide a theoretical foundation for exploring the mechanisms underlying coal and gas outbursts, improving the interdisciplinary coupling theory for coal and gas systems and employing temperature metrics to predict such outbursts.
Energy Science &... arrow_drop_down Energy Science & EngineeringArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Energy Science &... arrow_drop_down Energy Science & EngineeringArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV Mazzeo D.; Leva S.; Matera N.; Kontoleon K. J.; Saboor S.; Pirouz B.; Elkadeem M. R.;handle: 20.500.11770/358598 , 11311/1243737
While traditional methods for modelling the thermal and electrical behaviour of photovoltaic (PV) modules rely on analytical and empirical techniques, machine learning is gaining interest as a way to reduce the time, expertise, and tools required by designers or experts while maintaining high accuracy and reliability. This research presents a data-driven machine learning tool based on artificial neural networks (ANNs) that can forecast yearly PV electricity directly at the optimal PV inclination angle without geographic restrictions and is valid for a wide range of electrical characteristics of PV modules. Additionally, empirical correlations were developed to easily determine the optimal PV inclination angle worldwide. The ANN algorithm, developed in Matlab, systematically and quantitatively summarizes the behaviour of eight PV modules in 48 worldwide climatic conditions. The algorithm’s applicability and robustness were proven by considering two different PV modules in the same 48 locations. Yearly climatic variables and electrical/thermal PV module parameters serve as input training data. The yearly PV electricity is derived using dynamic simulations in the TRNSYS environment, which is a simulation program primarily and extensively used in the fields of renewable energy engineering and building simulation for passive as well as active solar design. Multiple performance metrics validate that the ANN-based machine learning tool demonstrates high reliability and accuracy in the PV energy production forecasting for all weather conditions and PV module characteristics. In particular, by using 20 neurons, the highest value of R-square of 0.9797 and the lowest values of the root mean square error and coefficient of variance of 14.67 kWh and 3.8%, respectively, were obtained in the training phase. This high accuracy was confirmed in the ANN validation phase considering other PV modules. An R-square of 0.9218 and values of the root mean square error and coefficient of variance of 31.95 kWh and 7.8%, respectively, were obtained.The results demonstrate the algorithm’s vast potential to enhance the worldwide diffusion and economic growth of solar energy, aligned with the seventh sustainable development goal.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 14 citations 14 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2013Publisher:Elsevier BV Li, Hong; Fang, Kuangnan; Yang, Wei; Wang, Di; Hong, Xiaoxin;United States Energy Foundation project [G-1111-15134]; Ministry of Education, Philosophy and Social Planning project [12YJAZH056]; China Postdoctoral Science Foundation [20090460202]; National Natural Science Foundation of China [710201139]; Fundamental Research Funds for the Central Universities [2010221040]; National Bureau of Statistics Funds from China [2011LD002]
Mathematical and Com... arrow_drop_down Mathematical and Computer ModellingArticle . 2013 . Peer-reviewedLicense: Elsevier Non-CommercialData sources: CrossrefXiamen University Institutional RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routeshybrid 228 citations 228 popularity Top 1% influence Top 1% impulse Top 10% Powered by BIP!
more_vert Mathematical and Com... arrow_drop_down Mathematical and Computer ModellingArticle . 2013 . Peer-reviewedLicense: Elsevier Non-CommercialData sources: CrossrefXiamen University Institutional RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2016Publisher:Wiley Yoshiko Iida; Thomas Cornulier; Abdul Rahman Kassim; David F. R. P. Burslem; Janine B. Illian; Janine B. Illian; Alicia Ledo;AbstractAccurate estimation of tree biomass is necessary to provide realistic values of the carbon stored in the terrestrial biosphere. A recognized source of errors in tree aboveground biomass (AGB) estimation is introduced when individual tree height values (H) are not directly measured but estimated from diameter at breast height (DBH) using allometric equations. In this paper, we evaluate the performance of 12 alternative DBH : H equations and compare their effects on AGB estimation for three tropical forests that occur in contrasting climatic and altitudinal zones. We found that fitting a three‐parameter Weibull function using data collected locally generated the lowest errors and bias in H estimation, and that equations fitted to these data were more accurate than equations with parameters derived from the literature. For computing AGB, the introduced error values differed notably among DBH : H allometric equations, and in most cases showed a clear bias that resulted in either over‐ or under‐estimation of AGB. Fitting the three‐parameter Weibull function minimized errors in AGB estimates in our study and we recommend its widespread adoption for carbon stock estimation. We conclude that many previous studies are likely to present biased estimates of AGB due to the method of H estimation.
Ecological Applicati... arrow_drop_down St Andrews Research RepositoryArticle . 2016 . Peer-reviewedData sources: St Andrews Research RepositoryEcological ApplicationsArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefAberdeen University Research Archive (AURA)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen bronze 33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Ecological Applicati... arrow_drop_down St Andrews Research RepositoryArticle . 2016 . Peer-reviewedData sources: St Andrews Research RepositoryEcological ApplicationsArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefAberdeen University Research Archive (AURA)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Kunquan Li; Bingkun Min; Boyu Li;The rational design and synthesis of environmental, low-cost and eco-friendly renewable biomass-based carbons are highly desired for the development of high-performance supercapacitors. Herein, a novel amide-enriched synthesis strategy for biomass-based carbon from bayberry core (BC) by in-situ melamine-BC prepolymerization and subsequent NH3 ammonization. The synthesized biomass-based BC carbons were characterized by N2adsorption/desorption, scanning electron microscope, Raman spectroscopy, Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. The results showed that the BC carbons by melamine and ammonization co-treatment had both much higher N-doping level (up to 6.43%) and surface area (up to 960 m2 g−1) than the N-free doped carbon. The doped N functional group was mainly dominated by the form of amide-N rather than pyridine-N or quaternary-N. More excitingly, the amide-N content increased with the extension of ammonization time while pyridine-N and quaternary-N went down. The prepared amide-enriched BC carbon via 20 g melamine pre-polymerization and 3 h ammonization treatment delivered an excellent specific capacitance of 259 F g−1, which was 35–72 F g−1 higher than the samples by 1h and 2h NH3 treatment though the latter two had much higher surface area, pyridine and quaternary-N content. The results indicated that the amide-N on the N-doped biomass-based carbon made a great role for enhancing the capacitance, and its promotion to electric double layer capacitance and pseudo-capacitance exceeded that of pyridine and quaternary-N.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2017Publisher:MDPI AG Baohua Xie; Jiangxin Gu; Junbao Yu; Guangxuan Han; Xunhua Zheng; Yu Xu; Haitao Lin;doi: 10.3390/atmos8100181
Land use changes from cropland to orchards in Eastern China have raised serious concerns about the regional nitrogen (N) cycle and greenhouse gas balance. We measured soil nitrous oxide (N2O) emissions and methane (CH4) uptake using manual static chambers in an apple orchard. The primary aims were to assess the effect of N fertilizer application on gas fluxes and quantify the site-specific N2O emission factor (EFd). Field experiments were arranged in a randomized block design with three N input rates (0, 800 and 2600/2000 kg N ha−1 year−1). We found that orchard soils were a negligible CH4 sink (−1.1 to −0.4 kg C ha−1 year−1). Annual N2O emissions responded positively to N input rates, ranging from 34.1 to 60.3 kg N ha−1 year−1. EFd ranged from 1.00% to 1.65% with a mean of 1.34%. The extremely large background emissions of N2O (34.1–34.3 kg N ha−1 year−1) most likely originated from nitrate accumulation in the soil profile because of historical overuse of N fertilizer. We conclude that (1) site-specific EFd is suitable for assessing regional direct N2O emissions from upland orchards; and (2) conventional fertilization regimes must be avoided, and reduced N input rates are recommended in the study region.
Atmosphere arrow_drop_down AtmosphereOther literature type . 2017License: CC BYFull-Text: http://www.mdpi.com/2073-4433/8/10/181/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Atmosphere arrow_drop_down AtmosphereOther literature type . 2017License: CC BYFull-Text: http://www.mdpi.com/2073-4433/8/10/181/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2023Publisher:Frontiers Media SA Funded by:EC | IntelCompEC| IntelCompPapadaki, Lydia; Stavridis, Charalampos; Koundouri, Phoebe; Grypari, Ioanna; Kazbek, Madina; Papageorgiou, Haris; Theodossiou, Nicolaos;The phenomena of climate change transcend all national and regional boundaries. To address this complex challenge, we must determine the areas of the country of interest, in this case, Greece, that have been most adversely affected by climate. Greece is surrounded by water, and a significant part of its GDP is derived from the marine and maritime industries, including tourism. Since the start of the IntelComp project, a Preparatory Living Lab (PLL) has been planned and delivered, feeding into the development of the IntelComp platform and the Living Lab on Climate Change Adaptation. The study's results lead to the conclusion that one of the most important challenges in tackling climate change is the decarbonisation challenge, specifically the shift to renewable energy sources and the investments that must be made. Several EU and national policy frameworks, including the European Green Deal, the Climate Law, the National Long-term Strategy for 2050 (on the Climate and Energy), highlight the decarbonisation as one of the major challenges in the climate change pledge. This will be the primary subject of the IntelComp climate change case study. PLLs also led to the identification of policy questions and useful data sources to aid the IntelComp project's launch. While previous research on co-production has primarily focused on involving citizens through public participation processes in order to gain their support, trust, and insights in structured decision-making processes, our approach opens a new channel for incorporating external knowledge into problem-solving processes. The IntelComp project will aid in policy development by providing pertinent tools co-developed with the final users that will provide insights and analysis in the field of STI (Science, Technology, Innovation) encompassing all of the Energy areas mentioned above.
Frontiers in Environ... arrow_drop_down Frontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyFrontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Frontiers in Environ... arrow_drop_down Frontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: CrossrefOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyFrontiers in Environmental EconomicsArticle . 2023 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Zhiqiang Chen; Chengcheng Wang; Wei Jia; Le Cheng; Fan Guo; Linshen Xie; Wei Wu; Wei Chen;doi: 10.3390/en15062202
In order to further improve the insulation performance of fiber reinforce plastic (FRP) materials used in electromagnetic pulse (EMP) simulators, the flashover characteristics of FRP materials with different surface roughness and groove, i.e., those who are easily achieved and have a prominent effect, are investigated in 0.1 MPa SF6 under nanosecond pulse voltage with a rise time of 20–30 ns. The experimental results show that surfaces with different roughness have no significant influence on the flashover voltages of the FRP insulators, and both the convex grooves made of FRP and the convex grooves with nylon rings inlaid to form projections can improve the surface flashover voltage of epoxy FRP insulators under nanosecond pulse, in which the effect of the former surface is more obvious. For the insulators with convex grooves made of FRP, it is found that the root of the FRP protrusions breaks down after a number of shots with the occurrence of carbonization channels and spots, which is nonexistent for the nylon projections. Combined with the test results of surface characteristics, the surface roughness and the secondary electron emission yield (SEEY) are not key factors of flashover characteristics in SF6 under nanosecond pulse, arguably due to the fact that the energy needed for an incident electron to ionize an SF6 molecule is lower than that to excite two secondary electrons. Hence, the flashover performance cannot be improved by adjusting the surface roughness, and the flashover channel is principally governed by the macroscopic distribution of electrical field which can be changed by the convex groove. Breakdown phenomena of FRP protrusions indicate that the bulk insulation performance of resin FRP is weaker compared to pure resin because of its composite structure, as well as the impurities and voids introduced in the manufacturing process. The results are instructive for the design of FRP insulation structures in the compact EMP simulator.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/6/2202/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 5 citations 5 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/6/2202/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article , Research , Preprint 2021Embargo end date: 01 Jan 2020Publisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | AMVA4NewPhysics, EC | INSIGHTS, EC | LHCTOPVLQEC| AMVA4NewPhysics ,EC| INSIGHTS ,EC| LHCTOPVLQSirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Dragicevic, M.; Ero, J.; Del Valle, A. Escalante; Fruhwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Madlener, T.; Mikulec, I; Pitters, F. M.; Rad, N.; Schieck, J.; Schofbeck, R.; Spanring, M.; Templ, S.; Waltenberger, W.; Wulz, C-E; Zarucki, M.; Chekhovsky, V; Litomin, A.; Makarenko, V; Gonzalez, J. Suarez; Darwish, M. R.; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Kello, T.; Lelek, A.; Pieters, M.; Sfar, H. Rejeb; Van Haevermaet, H.; Van Mechelen, P.; Van Putte, S.; Van Remortel, N.; Blekman, F.; Bols, E. S.; Chhibra, S. S.; D'Hondt, J.; De Clercq, J.; Lontkovskyi, D.; Lowette, S.; Marchesini, I; Moortgat, S.; Morton, A.; Python, Q.; Tavernier, S.; Van Doninck, W.; Van; Mulders, P.; Beghin, D.; Bilin, B.; Clerbaux, B.; De; Lentdecker, G.; Dorney, B.; Favart, L.; Grebenyuk, A.; Kalsi, A. K.; Makarenko, I; Moureaux, L.; Petre, L.; Popov; A.; Postiau, N.; Starling, E.; Thomas, L.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Wezenbeek, L.; Cornelis, T.; Dobur, D.; Gruchala, M.; Khvastunov, I; Niedziela, M.; Roskas, C.; Skovpen, K.; Tytgat, M.; Verbeke, W.; Vermassen; B.; Vit, M.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Delcourt, M.; Donertas, I. S.; Giammanco, A.; Lemaitre, V; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.; Vischia, P.; Wuyckens, S.; Zobec, J.; Alves, G. A.; Correia Silva, G.; Hensel, C.; Moraes, A.; Alda Junior, W. L.; Belchior Batista Das Chagas, E.; Brandao; Malbouisson, H.; Carvalho, W.; Chinellato, J.; Coelho, E.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; Fonseca De Souza, S.; Martins, J.; Matos Figueiredo, D.; Medina; Jaime, M.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Rebello Teles, P.; Sanchez Rosas, L. J.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Bernardes, C. A.; Calligaris, L.; Fernandez; Perez Tomei, T. R.; Gregores, E. M.; Lemos, D. S.; Mercadante; P. G.; Novaes, S. F.; Padula, Sandra S.; Aleksandrov, A.; Antchev, G.; Atanasov, I; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Bonchev, M.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Fang, W.; Guo, Q.; Wang, H.; Yuan, L.; Ahmad, M.; Hu, Z.; Wang, Y.; Chapon, E.; Chen; G. M.; Chen, H. S.; Chen, M.; Kapoor, A.; Leggat, D.; Liao, H.; Liu, Z.; Sharma, R.; Spiezia, A.; Tao, J.; Thomas-wilsker, J.; Wang, J.; Zhang, H.; Zhang, S.; Zhao, J.; Agapitos, A.; Ban, Y.; Chen, C.; Huang, Q.; Levin, A.; Li, Q.; Lu, M.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang; D.; Wang, Q.; Xiao, J.;doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
doi: 10.1140/epjc/s10052-020-08817-8 , 10.48550/arxiv.2009.01186 , 10.3204/pubdb-2021-01404 , 10.5445/ir/1000133495 , 10.3204/pubdb-2020-03553 , 10.18154/rwth-2021-04402 , 10.18154/rwth-2021-04323
pmid: 33750993
pmc: PMC7921081
handle: 10486/704420 , 10651/61050 , 11588/981266 , 11368/2981217 , 20.500.12960/1096 , 10281/308797 , 10679/8214 , 10067/1775930151162165141 , 11449/210711 , 11492/4967 , 10831/111002 , 11503/974 , 11486/5265 , 11577/3400582 , 11573/1639263 , 11584/420886 , 11567/1050491 , 11568/1134020 , 11589/257781 , 11391/1507393 , 11384/101251 , 11585/853320 , 20.500.11769/526794 , 2158/1297765 , 1854/LU-8702116 , 2318/1841118 , 11579/135374 , 11563/159092 , 10044/1/87583 , 11586/374199 , 11571/1478316
AbstractThe production of Z boson pairs in proton–proton ($${\mathrm{p}} {\mathrm{p}} $$ p p ) collisions, $${{\mathrm{p}} {\mathrm{p}} \rightarrow ({\mathrm{Z}}/\gamma ^*)({\mathrm{Z}}/\gamma ^*) \rightarrow 2\ell 2\ell '}$$ p p → ( Z / γ ∗ ) ( Z / γ ∗ ) → 2 ℓ 2 ℓ ′ , where $${\ell ,\ell ' = {\mathrm{e}}}$$ ℓ , ℓ ′ = e or $${{\upmu }}$$ μ , is studied at a center-of-mass energy of 13$$\,\text {TeV}$$ TeV with the CMS detector at the CERN LHC. The data sample corresponds to an integrated luminosity of 137$$\,\text {fb}^{-1}$$ fb - 1 , collected during 2016–2018. The $${\mathrm{Z}} {\mathrm{Z}} $$ Z Z production cross section, $$\sigma _{\text {tot}} ({\mathrm{p}} {\mathrm{p}} \rightarrow {\mathrm{Z}} {\mathrm{Z}} ) = 17.4 \pm 0.3 \,\text {(stat)} \pm 0.5 \,\text {(syst)} \pm 0.4 \,\text {(theo)} \pm 0.3 \,\text {(lumi)} \text { pb} $$ σ tot ( p p → Z Z ) = 17.4 ± 0.3 (stat) ± 0.5 (syst) ± 0.4 (theo) ± 0.3 (lumi) pb , measured for events with two pairs of opposite-sign, same-flavor leptons produced in the mass region $${60< m_{\ell ^+\ell ^-} < 120\,\text {GeV}}$$ 60 < m ℓ + ℓ - < 120 GeV is consistent with standard model predictions. Differential cross sections are also measured and agree with theoretical predictions. The invariant mass distribution of the four-lepton system is used to set limits on anomalous $${\mathrm{Z}} {\mathrm{Z}} {\mathrm{Z}} $$ Z Z Z and $${{\mathrm{Z}} {\mathrm{Z}} \gamma }$$ Z Z γ couplings.
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTAPadua research Archive (Archivio istituzionale della ricerca - Università di Padova)Article . 2021License: CC BYArchivio della ricerca- Università di Roma La SapienzaArticle . 2021License: CC BY NC NDData sources: Archivio della ricerca- Università di Roma La SapienzaArchivio della Ricerca - Università di PisaArticle . 2021License: CC BYData sources: Archivio della Ricerca - Università di PisaBelarusian State University: Electronic Library BSUArticle . 2021License: CC BYFull-Text: https://elib.bsu.by/handle/123456789/289295Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/22652Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2021License: CC BYFull-Text: https://escholarship.org/uc/item/3804229hData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/87583Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi di Bari Aldo Moro: CINECA IRISArticle . 2021Full-Text: https://hdl.handle.net/11586/374199Data sources: Bielefeld Academic Search Engine (BASE)Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://arxiv.org/abs/2009.01186Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)European Physical Journal C: Particles and FieldsArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefCroatian Scientific Bibliography - CROSBIArticle . 2021Data sources: Croatian Scientific Bibliography - CROSBIRecolector de Ciencia Abierta, RECOLECTAArticle . 2021Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAEuropean Physical Journal C: Particles and FieldsArticle . 2021Data sources: Croatian Research Information SystemPiri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiArticle . 2021Data sources: Piri Reis Üniversitesi Kurumsal Akademik Arşiv SistemiSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryInstitutional Repository Universiteit AntwerpenArticle . 2021Data sources: Institutional Repository Universiteit AntwerpenRepositorio Institucional de la Universidad de OviedoArticle . 2021License: CC BYData sources: Repositorio Institucional de la Universidad de OviedoKaramanoğlu Mehmetbey Üniversitesi Akademik Arşiv SistemiArticle . 2021ELTE Digital Institutional Repository (EDIT)Article . 2021Data sources: ELTE Digital Institutional Repository (EDIT)Sirnak University Institutional RepositoryArticle . 2021Data sources: Sirnak University Institutional RepositorySinop Üniversitesi Akademik Arşiv SistemiArticle . 2025Data sources: Sinop Üniversitesi Akademik Arşiv SistemiElectronic archive of Tomsk Polytechnic UniversityArticle . 2023Data sources: Electronic archive of Tomsk Polytechnic UniversityeScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaGhent University Academic BibliographyArticle . 2021Data sources: Ghent University Academic BibliographyPublikationsserver der RWTH Aachen UniversityPreprint . 2020Data sources: Publikationsserver der RWTH Aachen UniversityPublikationsserver der RWTH Aachen UniversityArticle . 2021Data sources: Publikationsserver der RWTH Aachen UniversityBrunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research ArchiveÉcole Polytechnique, Université Paris-Saclay: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Université Savoie Mont Blanc: HALArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Archivio Istituzionale della Ricerca - Politecnico di BariArticle . 2021IRIS - Università degli Studi di CataniaArticle . 2021Data sources: IRIS - Università degli Studi di CataniaFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)FEDOA - IRIS Università degli Studi Napoli Federico IIArticle . 2021Data sources: FEDOA - IRIS Università degli Studi Napoli Federico IIUniversità degli Studi del Piemonte Orientale: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Università degli Studi della Basilicata: CINECA IRISArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)Universidade Estadual Paulista São Paulo: Repositório Institucional UNESPArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)IRIS UNIPV (Università degli studi di Pavia)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)Brunel University London: Brunel University Research Archive (BURA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2021Publisher:Elsevier BV Authors: Xiangyu Zhu; Xuewei Liu;The accurate morphology identification of gas hydrate-bearing sediments (GHBS) has great significance in practical exploitation and subsequent resource evaluation. Previous studies have disclosed two main morphologies for gas hydrate in sediments: pore- and fracture-filling. However, the existing identification methods of gas hydrate’s morphology rarely consider their intrinsic differences in distribution characteristics. In this paper, a new method is proposed to identify the morphology of hydrate according to the scattered distribution of fracture dips for fracture-filling GHBS. Firstly, numerical simulations are performed to study the relationships between the morphology of hydrate and the sonic velocities. Considering the dip variation is within a certain range for fracture-filling hydrate, the theoretical curves show that the resulting mutation degrees between P- and S-wave velocities are inconsistent in fracture-filling GHBS, which is different from pore-filling GHBS. Then the modified estimation method for pointwise Lipschitz exponent α is introduced to capture their differences. The cross plots of Lipschitz exponent for P-wave velocity, α(Vp), and Lipschitz exponent for S-wave velocity, α(Vs), indicate that most of the dots representing pore-filling GHBS are evenly distributed near the line α(Vp)=α(Vs), while the dots representing fracture-filling GHBS are scattered outside the line α(Vp)=α(Vs). Based on these characteristics, a ratio method is put forward to differentiate the two types of hydrate. These hypotheses and methods are verified using the measured P- and S-wave velocities log data at different sites in Leg 204, Ocean Drilling Program (ODP), in the United States. Finally, the results of this new method agree closely with core data.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2025Publisher:Wiley Jianfeng Hao; Han Liu; Weiji Sun; Runzhi Li; Zhanshan Shi; Shengjie Fang; Chunyu Guo;doi: 10.1002/ese3.2094
ABSTRACTThe multi‐field coupling relationship and temperature evolution mechanism of gas‐containing coal in areas affected by geological structures were investigated, focusing specifically on the engineering aspects of a reverse fault in the No. 3 coal seam at the Xinjing Coal Mine. An analysis was conducted to examine the thermal‐fluid‐solid coupling behavior of gas‐containing coal. A thermal‐fluid‐solid coupling model for gas‐containing coal, accounting for the effects of damage, was developed to simulate the incubation process of coal and gas outbursts within the fault zone during the advancement of the working face. The study has indicated that faults not only degrade the mechanical properties of the surrounding coal‐rock mass, but also disrupt the continuity of coal seam stress. Gas tends to accumulate near fault zones, resulting in differences in the gas pressure and content on either side of the fault, thereby substantially increasing the likelihood of coal and gas outbursts. The primary factors influencing temperature variations include deformation energy, energy from gas expansion, thermal convection, thermal conduction, and the thermal effects associated with adsorption and desorption. Among these factors, the endothermic effect associated with adsorption and desorption significantly influences the temperature fluctuations in coal. The results of this study provide a theoretical foundation for exploring the mechanisms underlying coal and gas outbursts, improving the interdisciplinary coupling theory for coal and gas systems and employing temperature metrics to predict such outbursts.
Energy Science &... arrow_drop_down Energy Science & EngineeringArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Energy Science &... arrow_drop_down Energy Science & EngineeringArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2023Publisher:Elsevier BV Mazzeo D.; Leva S.; Matera N.; Kontoleon K. J.; Saboor S.; Pirouz B.; Elkadeem M. R.;handle: 20.500.11770/358598 , 11311/1243737
While traditional methods for modelling the thermal and electrical behaviour of photovoltaic (PV) modules rely on analytical and empirical techniques, machine learning is gaining interest as a way to reduce the time, expertise, and tools required by designers or experts while maintaining high accuracy and reliability. This research presents a data-driven machine learning tool based on artificial neural networks (ANNs) that can forecast yearly PV electricity directly at the optimal PV inclination angle without geographic restrictions and is valid for a wide range of electrical characteristics of PV modules. Additionally, empirical correlations were developed to easily determine the optimal PV inclination angle worldwide. The ANN algorithm, developed in Matlab, systematically and quantitatively summarizes the behaviour of eight PV modules in 48 worldwide climatic conditions. The algorithm’s applicability and robustness were proven by considering two different PV modules in the same 48 locations. Yearly climatic variables and electrical/thermal PV module parameters serve as input training data. The yearly PV electricity is derived using dynamic simulations in the TRNSYS environment, which is a simulation program primarily and extensively used in the fields of renewable energy engineering and building simulation for passive as well as active solar design. Multiple performance metrics validate that the ANN-based machine learning tool demonstrates high reliability and accuracy in the PV energy production forecasting for all weather conditions and PV module characteristics. In particular, by using 20 neurons, the highest value of R-square of 0.9797 and the lowest values of the root mean square error and coefficient of variance of 14.67 kWh and 3.8%, respectively, were obtained in the training phase. This high accuracy was confirmed in the ANN validation phase considering other PV modules. An R-square of 0.9218 and values of the root mean square error and coefficient of variance of 31.95 kWh and 7.8%, respectively, were obtained.The results demonstrate the algorithm’s vast potential to enhance the worldwide diffusion and economic growth of solar energy, aligned with the seventh sustainable development goal.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen gold 14 citations 14 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2013Publisher:Elsevier BV Li, Hong; Fang, Kuangnan; Yang, Wei; Wang, Di; Hong, Xiaoxin;United States Energy Foundation project [G-1111-15134]; Ministry of Education, Philosophy and Social Planning project [12YJAZH056]; China Postdoctoral Science Foundation [20090460202]; National Natural Science Foundation of China [710201139]; Fundamental Research Funds for the Central Universities [2010221040]; National Bureau of Statistics Funds from China [2011LD002]
Mathematical and Com... arrow_drop_down Mathematical and Computer ModellingArticle . 2013 . Peer-reviewedLicense: Elsevier Non-CommercialData sources: CrossrefXiamen University Institutional RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routeshybrid 228 citations 228 popularity Top 1% influence Top 1% impulse Top 10% Powered by BIP!
more_vert Mathematical and Com... arrow_drop_down Mathematical and Computer ModellingArticle . 2013 . Peer-reviewedLicense: Elsevier Non-CommercialData sources: CrossrefXiamen University Institutional RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2016Publisher:Wiley Yoshiko Iida; Thomas Cornulier; Abdul Rahman Kassim; David F. R. P. Burslem; Janine B. Illian; Janine B. Illian; Alicia Ledo;AbstractAccurate estimation of tree biomass is necessary to provide realistic values of the carbon stored in the terrestrial biosphere. A recognized source of errors in tree aboveground biomass (AGB) estimation is introduced when individual tree height values (H) are not directly measured but estimated from diameter at breast height (DBH) using allometric equations. In this paper, we evaluate the performance of 12 alternative DBH : H equations and compare their effects on AGB estimation for three tropical forests that occur in contrasting climatic and altitudinal zones. We found that fitting a three‐parameter Weibull function using data collected locally generated the lowest errors and bias in H estimation, and that equations fitted to these data were more accurate than equations with parameters derived from the literature. For computing AGB, the introduced error values differed notably among DBH : H allometric equations, and in most cases showed a clear bias that resulted in either over‐ or under‐estimation of AGB. Fitting the three‐parameter Weibull function minimized errors in AGB estimates in our study and we recommend its widespread adoption for carbon stock estimation. We conclude that many previous studies are likely to present biased estimates of AGB due to the method of H estimation.
Ecological Applicati... arrow_drop_down St Andrews Research RepositoryArticle . 2016 . Peer-reviewedData sources: St Andrews Research RepositoryEcological ApplicationsArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefAberdeen University Research Archive (AURA)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access RoutesGreen bronze 33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Ecological Applicati... arrow_drop_down St Andrews Research RepositoryArticle . 2016 . Peer-reviewedData sources: St Andrews Research RepositoryEcological ApplicationsArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefAberdeen University Research Archive (AURA)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of St Andrews: Digital Research RepositoryArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.description Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Kunquan Li; Bingkun Min; Boyu Li;The rational design and synthesis of environmental, low-cost and eco-friendly renewable biomass-based carbons are highly desired for the development of high-performance supercapacitors. Herein, a novel amide-enriched synthesis strategy for biomass-based carbon from bayberry core (BC) by in-situ melamine-BC prepolymerization and subsequent NH3 ammonization. The synthesized biomass-based BC carbons were characterized by N2adsorption/desorption, scanning electron microscope, Raman spectroscopy, Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. The results showed that the BC carbons by melamine and ammonization co-treatment had both much higher N-doping level (up to 6.43%) and surface area (up to 960 m2 g−1) than the N-free doped carbon. The doped N functional group was mainly dominated by the form of amide-N rather than pyridine-N or quaternary-N. More excitingly, the amide-N content increased with the extension of ammonization time while pyridine-N and quaternary-N went down. The prepared amide-enriched BC carbon via 20 g melamine pre-polymerization and 3 h ammonization treatment delivered an excellent specific capacitance of 259 F g−1, which was 35–72 F g−1 higher than the samples by 1h and 2h NH3 treatment though the latter two had much higher surface area, pyridine and quaternary-N content. The results indicated that the amide-N on the N-doped biomass-based carbon made a great role for enhancing the capacitance, and its promotion to electric double layer capacitance and pseudo-capacitance exceeded that of pyridine and quaternary-N.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.Access Routesgold 6 citations 6 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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