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The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" integrates the findings of an initiative to assess the multiple roles of blue foods in food systems worldwide (https://www.bluefood.earth/) and translates them into four policy objectives aimed at realizing the contributions of aquatic foods to more nutritious, just, resilient and environmentally sustainable food systems. This dataset contains the variables used to assess conditions (at the level of nations) when blue food policy objectives are likely to be relevant. The R code used for Boolean analysis is available here: https://github.com/emmywas/BFA_Policy_analysis The paper "Blue Food policy objectives: an analysis of opportunities and trade-offs" is part of the Blue Food Assessment ( https://www.bluefood.earth/ ) a comprehensive examination of the role of aquatic foods in building healthy, sustainable, and equitable food systems. The assessment was supported by the Builders Initiative, the MAVA Foundation, the Oak Foundation, and the Walton Family Foundation. BC also thanks the Erling Persson Family Foundation. The data comes from publicly available (or published) datasets

This is the replication package for the article "Assessing the sustainability performance of sustainability management software", published in Technologies – SI „Advanced Green Information and Communication Technology“ Contents The repository contains the following files: Data_-_Scenario_Hardware_Measurement.csv: measurement data acquired during the measurement of the standard usage scenario Data_-_Scenario_Log.txt: timestamp log file for the measurements of the standard usage scenario Data_-_Baseline_Hardware_Measurement.csv: baseline meaurements Data_-_Baseline_Log.txt: baseline timestamp log file R_image.Rdata: data is also available in an R image dump R_Analysis_Script.R: analysis script, written in R Results_SCSS_WeSustain_ESM.pdf: results of the analysis Results_and_calculation_for_Indicators_1.2.b_and_1.2.c.ods: calculation for indicators 1.1.4.d) 1.2.b) and 1.2.c) Usage-scenario_WeSustain_ESM.pdf: description of the standard usage scenario Usage To recreate the analysis, run the R script and, if necessary, modify lines 103 to 115 to fit the filenames where to find the data. Lines 193 to 217 need to be executed manually, to generate the desired plots and calculations. It is also possible to load the R_image.RData data dump into an R session, import the library `psych` (line 2 in the script) and manually execute lines 193 to 217 to generate the desired plots and calculations. The replication package is also available on our GitLab at https://gitlab.umwelt-campus.de/a.guldner/sustainability_performance_of_sustainability_management_software/tree/master

Low-income, rural frontline communities of California’s Central Valley experience environmental and socioeconomic injustice, water insecurity, extremely poor air quality, and lack of fundamental infrastructure (sewage, green areas, health services), which makes them less resilient. Many communities depend financially on agriculture, while water scarcity and associated policy may trigger farmland retirement, further hindering socioeconomic opportunities. Here we propose a multi-benefit framework to repurpose cropland in buffers inside and around (400-m and 1600-m buffers) 154 rural disadvantaged communities of the Central Valley to promote socioeconomic opportunities, environmental benefits, and business diversification. We estimated the potential for (1) reductions in water and pesticide use, nitrogen leaching, and nitrogen gas emissions, (2) managed aquifer recharge, and (3) economic and employment impacts associated with clean industries and solar energy. Retiring cropland within 1600-m buffers resulted in estimated reductions in annual water use of 2.18 km3/year, nitrate leaching into local aquifers of 105,500 t/year, greenhouse gas emissions of 2,232,000 t CO2‑equivalent/year, and 5,388 t pesticides/year, with accompanying losses in agricultural revenue of US$4,213 million/year and employment of 25,682 positions. Buffer repurposing investments of US$27 million/year per community for ten years showed potential to generate US$101 million/year per community (total US$15,578 million/year) for 30 years and 407 new jobs/year (total 62,697 jobs/year) paying 67% more than prior farmworker jobs. In the San Joaquin Valley (southern Central Valley), where groundwater overdraft averages 2.3 km3/year, potential water use reduction is 1.8 km3/year. We identified 99 communities with surficial soils adequate for aquifer recharge and canals/rivers within 1600 m. This demonstrates the potential of managed aquifer recharge in buffered zones to substantially reduce overdraft. The buffers framework shows that well-planned land repurposing near disadvantaged communities can create multiple benefits for agriculture and industry stakeholders, while improving quality of life in disadvantaged communities and producing positive externalities for society.

The concrete industry currently contributes an estimated ~8% of global anthropogenic GHG emissions annually. Reducing emissions from this industry is a critical step in meeting emissions goals. In our study, we investigate near-term mitigation strategies that can significantly reduce global GHG emissions from concrete production. The manufacturing of cement, an essential ingredient in concrete, is the primary contributor to GHG emissions from concrete production. This model’s primary focus is on the efficient use of cement, a key strategy for reducing emissions. Based on projected global population growth and material saturation levels, we estimated the global cement demand from 2015-2100. We quantified estimates for current GHG emissions from the production of cement-based materials and the potential reduction in GHG emissions that could be achieved globally if four mitigation strategies are implemented. These strategies are: (1) implementing changes to cement manufacturing, such as improving the energy efficiency, using low-carbon fuels, and switching to lower-emissions electricity grids; (2) increasing use of supplementary cementitious materials to lower the amount of high-emissions components of cement and concrete; (3) utilizing concrete strength and steel reinforcement ratios to optimize concrete structural members; and (4) elongating the service life of concrete structures to reduce future cement demand. This packet includes a dataset used in the associated publication "Near-term pathways for decarbonizing global concrete production", a manuscript which explores how engineering design can be used to reduce the greenhouse gas (GHG) emissions from concrete production. Additionally, the codes written to make these figures are included in the packet.

Worldwide, rice production contributes about 10% of total greenhouse gas (GHG) emissions from the agricultural sector, mainly due to CH4 emissions from continuously flooded (CF) fields. Alternate Wetting and Drying (AWD) is a promising crop technology for mitigating CH4 emissions and reducing the irrigation water currently being applied in many of the world's top rice-producing countries. However, decreased emissions of CH4 may be partially counterbalanced by increased N2O emissions. In this case study for the Philippines, the national mitigation potential of AWD is explored using the process-based biogeochemical model LandscapeDNDC. Simulated mean annual CH4 emissions under conventional rice production for the time period 2000 - 2011 are estimated as 1,180163 Gg CH4 yr-1. During the cropping season, this is about +16% higher than a former estimate using emission factors. Scenario simulations of nationwide introduction of AWD in irrigated landscapes suggest a considerable decrease of CH4 emissions by -23%, while N2O emissions are only increased by +8%. Irrespective of field management, at national scale the radiative forcing of irrigated rice production is always dominated by CH4 (>95%). The reduction potential of GHG emissions depends on, e.g., number of crops per year, residue management, amount of applied irrigation water and sand content. Seasonal weather conditions also play an important role, since the mitigation potential of AWD is almost double as high in dry as compared to wet seasons. Furthermore, this study demonstrates the importance of temporal continuity, considering off-season emissions and the long-term development of GHG emissions across multiple years. This study was conducted as part of the multidisciplinary research project ICON: ‘Introducing Non-Flooded Crops in Rice- Dominated Landscapes: Impacts on Carbon, Nitrogen and Water Cycles’. We thank the German Research Foundation (DFG) for its generous funding (FOR 1701, BU1173/13-1/2 and KI1431/3-1/2).

In this data documentation, all relevant cost parameters for determination of levelized cost of electricity (LCOE) are reviewed for the current and future time frames. More than 100 studies, articles and past reviews have been reviewed, adjusted for inflation and statistically analysed. The cost parameters for a range of power generation and storage technologies have been reviewed. In terms of conventional power plants, lignite and hard coal power plants, both open cycle and combined cycle gas turbine plants in addition to biomass co-firing plants were studied. Energy storage technologies featured in the review comprised: lithium ion and redox flow batteries, pumped hydro storage units, adiabatic compressed air energy storage technologies, electrolysers, methanizers and gas storage caverns. The main renewable energy technologies covered were: biogas, concentrated solar power plants, photovoltaic and on-shore and off-shore wind parks.

Abstract Methane is responsible for 20% of the global warming resulting from greenhouse gas emissions. Municipal solid waste (MSW) landfills are the third largest anthropogenic source of methane and are thus important to estimating the global methane budget and evaluating its contribution to global greenhouse gas emissions. Based on the greenhouse gas inventory guidelines from the Intergovernmental Panel on Climate Change (IPCC) and the first-order decay method used to estimate emissions from MSW landfills – and in line with MSW management in various regions – we calculated methane emissions from MSW landfills in various Chinese provinces from 2003 to 2013. During this period, methane emissions from MSW landfills increased from 1141.10 Gg to 1858.98 Gg, representing a mean annual increase of 71.79 Gg. MSW emissions tended to increase more in the northern and western provinces than in the southern and eastern provinces, as methane emissions strongly and positively correlated with population and socioeconomic demographics. MSW decontamination is growing rapidly in China, and landfills predominate in all MSW treatments; moreover, incineration has also dramatically increased in recent years.

Introducing private capital into the public transport system for its sustainable development has been increasing around the world. However, previous research ignores emissions and energy consumption impacts, which are important for private capital investment policy-making. To address this problem, the system dynamic (SD) approach was used to quantitatively analyze the cumulative effects of different private capital investment models in public transport from the environmental perspective. The SD model validity was verified in the case study of Jinan public traffic. Simulation results show that the fuel consumption and emission reductions are obvious when the private capital considering passenger value invests in public transport compared with the no private capital investment and traditional investment models. There are obvious cumulative reductions for fuel consumption, CO2, CO, SO2, and PM10 emissions for 100 months compared with no private capital investment. This research verifies the superiority of the passenger value investment model in public transport from the environmental point of view, and supplies a theoretical tool for administrators to evaluate the private capital investment effects systematically.