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description Publicationkeyboard_double_arrow_right Article , Journal 2021 United KingdomPublisher:Springer Science and Business Media LLC Funded by:UKRI | River basins as 'living l...UKRI| River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scalesAuthors:Lee S. Bosher;
Jiaheng Zhao; Jiaheng Zhao;Lee S. Bosher
Lee S. Bosher in OpenAIREQiuhua Liang;
+10 AuthorsQiuhua Liang
Qiuhua Liang in OpenAIRELee S. Bosher;
Jiaheng Zhao; Jiaheng Zhao;Lee S. Bosher
Lee S. Bosher in OpenAIREQiuhua Liang;
Qiuhua Liang;Qiuhua Liang
Qiuhua Liang in OpenAIRET. Hoey;
Jiren Xu;
Jiren Xu
Jiren Xu in OpenAIREBrian Barrett;
Xin Zhou;Brian Barrett
Brian Barrett in OpenAIREFabrice G. Renaud;
Fabrice G. Renaud
Fabrice G. Renaud in OpenAIREHuili Chen;
Huili Chen;Huili Chen
Huili Chen in OpenAIREXilin Xia;
Xilin Xia;Xilin Xia
Xilin Xia in OpenAIREAbstractIncreasing resilience to natural hazards and climate change is critical for achieving many Sustainable Development Goals (SDGs). In recent decades, China has experienced rapid economic development and became the second-largest economy in the world. This rapid economic expansion has led to large-scale changes in terrestrial (e.g., land use and land cover changes), aquatic (e.g., construction of reservoirs and artificial wetlands) and marine (e.g., land reclamation) environments across the country. Together with climate change, these changes may significantly influence flood risk and, in turn, compromise SDG achievements. The Luanhe River Basin (LRB) is one of the most afforested basins in North China and has undergone significant urbanisation and land use change since the 1950s. However, basin-wide flood risk assessment under different development scenarios has not been considered, although this is critically important to inform policy-making to manage the synergies and trade-offs between the SDGs and support long-term sustainable development. Using mainly open data, this paper introduces a new framework for systematically assessing flood risk under different social and economic development scenarios. A series of model simulations are performed to investigate the flood risk under different land use change scenarios projected to 2030 to reflect different development strategies. The results are systematically analysed and compared with the baseline simulation based on the current land use and climate conditions. Further investigations are also provided to consider the impact of climate change and the construction of dams and reservoirs. The results potentially provide important guidance to inform future development strategies to maximise the synergies and minimise the trade-offs between various SDGs in LRB.
CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORE (RIOXX-UK Aggregator)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/23326Data sources: Bielefeld Academic Search Engine (BASE)Brunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research Archiveadd 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.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11625-021-01034-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORE (RIOXX-UK Aggregator)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/23326Data sources: Bielefeld Academic Search Engine (BASE)Brunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research Archiveadd 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.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11625-021-01034-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 United KingdomPublisher:Springer Science and Business Media LLC Funded by:UKRI | River basins as 'living l...UKRI| River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scalesAuthors:Lee S. Bosher;
Jiaheng Zhao; Jiaheng Zhao;Lee S. Bosher
Lee S. Bosher in OpenAIREQiuhua Liang;
+10 AuthorsQiuhua Liang
Qiuhua Liang in OpenAIRELee S. Bosher;
Jiaheng Zhao; Jiaheng Zhao;Lee S. Bosher
Lee S. Bosher in OpenAIREQiuhua Liang;
Qiuhua Liang;Qiuhua Liang
Qiuhua Liang in OpenAIRET. Hoey;
Jiren Xu;
Jiren Xu
Jiren Xu in OpenAIREBrian Barrett;
Xin Zhou;Brian Barrett
Brian Barrett in OpenAIREFabrice G. Renaud;
Fabrice G. Renaud
Fabrice G. Renaud in OpenAIREHuili Chen;
Huili Chen;Huili Chen
Huili Chen in OpenAIREXilin Xia;
Xilin Xia;Xilin Xia
Xilin Xia in OpenAIREAbstractIncreasing resilience to natural hazards and climate change is critical for achieving many Sustainable Development Goals (SDGs). In recent decades, China has experienced rapid economic development and became the second-largest economy in the world. This rapid economic expansion has led to large-scale changes in terrestrial (e.g., land use and land cover changes), aquatic (e.g., construction of reservoirs and artificial wetlands) and marine (e.g., land reclamation) environments across the country. Together with climate change, these changes may significantly influence flood risk and, in turn, compromise SDG achievements. The Luanhe River Basin (LRB) is one of the most afforested basins in North China and has undergone significant urbanisation and land use change since the 1950s. However, basin-wide flood risk assessment under different development scenarios has not been considered, although this is critically important to inform policy-making to manage the synergies and trade-offs between the SDGs and support long-term sustainable development. Using mainly open data, this paper introduces a new framework for systematically assessing flood risk under different social and economic development scenarios. A series of model simulations are performed to investigate the flood risk under different land use change scenarios projected to 2030 to reflect different development strategies. The results are systematically analysed and compared with the baseline simulation based on the current land use and climate conditions. Further investigations are also provided to consider the impact of climate change and the construction of dams and reservoirs. The results potentially provide important guidance to inform future development strategies to maximise the synergies and minimise the trade-offs between various SDGs in LRB.
CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORE (RIOXX-UK Aggregator)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/23326Data sources: Bielefeld Academic Search Engine (BASE)Brunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research Archiveadd 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.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11625-021-01034-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/186695/1/Zhao2021_Article_Large-scaleFloodRiskAssessment.pdfData sources: CORE (RIOXX-UK Aggregator)Brunel University London: Brunel University Research Archive (BURA)Article . 2021License: CC BYFull-Text: https://bura.brunel.ac.uk/handle/2438/23326Data sources: Bielefeld Academic Search Engine (BASE)Brunel University Research ArchiveArticle . 2021License: CC BYData sources: Brunel University Research Archiveadd 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.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11625-021-01034-6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu