The Synergy Between CO2 and Air Pollution Emissions in Chinese Cities by 2060: An Assessment Based on the Emissions Inventory and Dynamic Projection Model DOI Open Access
Guosheng Wang, Wei Xia, Yang Xiao

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9338 - 9338

Опубликована: Окт. 28, 2024

Synergizing air pollution control and climate change mitigation has been of significant academic policy concern. The synergy between carbon emissions is one the measures to understand characteristics process pollution–carbon synergistic control, which will also provide valuable information for collaboratively achieving Sustainable Development Goals (SDGs) (such as SDGs 11 13). This study establishes a systematic framework integrating inventory projection models, correlation mining typology analysis methods predictively evaluate comprehensive coordination dioxide (CO2) in Chinese cities by 2030, 2050, 2060 under different scenarios CO2 control. results reveal effects synergistically implementing clean aggressive carbon-reducing policies on mitigating emissions. Under On-time Peak-Net Zero-Clean Air Early scenarios, total reduction be more significant, particularly 2050 2060. first integrate scenario evaluation research, providing novel supplement pollution–climate methodology based co-benefit estimation. findings contribute measuring achievement analyzing interaction SDGs.

Язык: Английский

Energy Utilization and Carbon Reduction Potential of Solar Energy in Residential Blocks: A Case Study on a Tropical High-Density City in China DOI Open Access
Yi Li, Zhixin Li, Xiaojing Yao

и другие.

Sustainability, Год журнала: 2023, Номер 15(17), С. 12975 - 12975

Опубликована: Авг. 28, 2023

Energy efficiency in high-density urban areas is increasingly gaining more attention as the energy crisis and environmental issues worsen. Urban morphology an essential factor affecting consumption solar development potential of buildings. In response to research gap previous studies that only analyzed building or from a single objective, this paper aims combine two objectives block-scale explore joint influence residential morphological elements on correlations between two. By investigating summarizing 100 sample cases Wuhan city blocks, 30 block prototypes were constructed. The leading indicators blocks with quantified, respectively. study results show at certain floor area ratios, highest power generation can be achieved mixture high-rise slabs towers, but intensity level relatively high; combining generation, form towers low-rise villas has incredible energy-saving potential. addition, regression analysis three indicators, namely roof-to-envelope ratio, compacity, site coverage, have most prominent they all positive correlations. This provide suggestions for planners managers promote conservation design stage.

Язык: Английский

Процитировано

8

Spatiotemporal Characteristics and Prediction of Ecological Safety in the Yellow River Basin of China DOI Creative Commons
Xiao Wei, Lifeng Zhang, Yi He

и другие.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2024, Номер 17, С. 16119 - 16138

Опубликована: Янв. 1, 2024

s-The Yellow River Basin (YRB) is a major ecological functional area in China, and its safety development change have extremely significant impacts on the natural environment human society. However, existing studies YRB lack spatiotemporal characteristics analysis prediction of with vegetation as core. Therefore, this study proposes to construct an index (ESI) based comprehensive multi-dimensional evaluation system "vigor-pressure-state-response,"using normalized difference index, carbon sink indicator parameters, temperature, precipitation, digital elevation model, population density, per capita gross domestic product from 2000 2020. The ESI were then analyzed for YRB, long-term short-term memory network model was constructed predict trend over next 10 years. According results, 2020, showed fluctuating upward trend, annual average changed abruptly 2015 due drastic changes hazardous areas. most areas stability weak some areas, overall spatial distribution positive agglomeration characteristics. Further, response landscape complexity different reaches varied. Most middle positively correlated complexity, while upper lower not significantly or negatively correlated. Notably, years, YRB's growth will slow down, degradation increasing, decreasing, currently showing improving.

Язык: Английский

Процитировано

2

China’s progress in synergetic governance of climate change and multiple environmental issues DOI Creative Commons
Jianxun Yang,

Zhan Zhao,

Wen Fang

и другие.

PNAS Nexus, Год журнала: 2024, Номер 3(9)

Опубликована: Авг. 21, 2024

Abstract Advancing the synergetic control of climate change and environmental crisis is crucial for achieving global sustainable development goals. This study evaluates governance levels over four issues at provincial level in China from 2009 to 2020. Our findings reveal significant progress China's coordinated efforts mitigate carbon emissions, reduce air pollutants, conserve water resources. However, there remains room improvement managing solid waste protecting ecological systems overall has slowed since 2015. Employing a random forest model, we identify socio-economic factors with great influence on governance, such as energy intensity, service sector development, electronic equipment manufacturing, transportation. Additionally, nonlinear relationships between some performance subsystems, including both plateau effects (e.g. output smelting ferrous metals) U-shaped patterns manufacturing metal products), possibly attributed constraints end-of-pipe treatment capacities complexities supply chain networks. Furthermore, through hierarchical clustering analysis, classify provinces into groups provide tailored recommendations policymakers enhance their respective regions. The framework established this also serves valuable reference countries seeking develop practical context-specific solutions risks.

Язык: Английский

Процитировано

2

Assessing of the county-level synergy between CO2 emissions and PM2.5 pollution in Shandong Province, China DOI
Zijian Wang, Zhenhua Di

International Journal of Environmental Science and Technology, Год журнала: 2024, Номер 22(5), С. 3347 - 3358

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

1

The Synergy Between CO2 and Air Pollution Emissions in Chinese Cities by 2060: An Assessment Based on the Emissions Inventory and Dynamic Projection Model DOI Open Access
Guosheng Wang, Wei Xia, Yang Xiao

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9338 - 9338

Опубликована: Окт. 28, 2024

Synergizing air pollution control and climate change mitigation has been of significant academic policy concern. The synergy between carbon emissions is one the measures to understand characteristics process pollution–carbon synergistic control, which will also provide valuable information for collaboratively achieving Sustainable Development Goals (SDGs) (such as SDGs 11 13). This study establishes a systematic framework integrating inventory projection models, correlation mining typology analysis methods predictively evaluate comprehensive coordination dioxide (CO2) in Chinese cities by 2030, 2050, 2060 under different scenarios CO2 control. results reveal effects synergistically implementing clean aggressive carbon-reducing policies on mitigating emissions. Under On-time Peak-Net Zero-Clean Air Early scenarios, total reduction be more significant, particularly 2050 2060. first integrate scenario evaluation research, providing novel supplement pollution–climate methodology based co-benefit estimation. findings contribute measuring achievement analyzing interaction SDGs.

Язык: Английский

Процитировано

1