Synergistic Governance of Carbon Emissions and Pm2.5 Pollution: Evidence from Environmental Rebound Effect in China DOI
Xiao Han, Yichen Wang, Mingxi Du

et al.

Published: Jan. 1, 2024

Language: Английский

Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China DOI Creative Commons
Qinggang Meng, Xiaolan Chen, Hui Wang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113103 - 113103

Published: Jan. 1, 2025

Language: Английский

Citations

2
Factors influencing the coupled and coordinated development of cities in the Yangtze River Economic Belt: A focus on carbon reduction, pollution control, greening, and growth DOI
Xuan Yang,

Guanggui Ran

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122499 - 122499

Published: Sept. 17, 2024

Language: Английский

Citations

7
Quantifying Socio-Regional Variability via Factor Analysis over China: Optimizing Residential Sector Emission Reduction Pathways DOI Open Access
Zhao Yu, Prasanna Divigalpitiya

Environments, Journal Year: 2025, Volume and Issue: 12(2), P. 37 - 37

Published: Jan. 22, 2025

Policy synergy, the evidence-based coordination of public policies, can aid in more rapidly achieving air pollutant and carbon dioxide (CO2) emission reduction targets. Using logarithmic mean Divisia index (LMDI) decomposition, coupling degree (CCD), geographically temporally weighted regression (GTWR) models, we analyzed characteristics, drivers, pathways residential pollution across 30 Chinese provinces from 2001 to 2020. The southern produced than northern provinces, with gap widening after 2015. In sector, energy factors (LMDI decomposition result, 686,681.9) population size (14,331) had greater impacts on emissions structure, intensity, synergies, or GDP per capita. GTWR analysis CCD mechanism indicated that hydroelectricity urbanization enhanced southeast. Meanwhile, west, was improved by R&D investment, government spending industrial control, electricity consumption, capita cropland, temperature, urbanization. This provides a valuable reference for optimizing strategies.

Language: Английский

Citations

0
Sintering flue gas circulation optimization under the combined benefits of carbon dioxide and air pollutant emission reduction DOI

Zichang Che,

Sihong Cheng,

Yongkang Cui

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135546 - 135546

Published: March 1, 2025

Language: Английский

Citations

0
Synergies of air pollution and carbon reduction and their impact pathways in China's industrial sector DOI
Jiali Tian,

Siyu Fu,

Jiachao Peng

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: April 12, 2025

Language: Английский

Citations

0
Synergy of carbon - pollution - ecology ——The future of synergetic reduction of pollution and carbon emissions DOI
Huanzhi Wang, Ting Liu, Xu He

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107931 - 107931

Published: March 28, 2025

Language: Английский

Citations

0
An Improved Whale Optimization Algorithm for the Clean Production Transformation of Automotive Body Painting DOI Creative Commons

Qin Yang,

Xinning Li, Yang Teng

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(5), P. 273 - 273

Published: April 28, 2025

Research on clean production in automotive painting processes is a core component of achieving green manufacturing, addressing environmental regulatory challenges, and advancing sustainable development the industry by reducing volatile organic compound (VOC) emissions, optimizing resource utilization, minimizing energy consumption. To reduce pollutants generated improve coating efficiency, this study proposes method for body based an improved whale optimization algorithm from perspective “low-carbon consumption emission-reduced production”. A multi-level, multi-objective decision-making model developed integrating three dimensions production: material flow (optimizing costs), (minimizing consumption), emission (reducing carbon emissions processing time). The enhanced through key modifications: incorporation nonlinear convergence factors, elite opposition-based learning, dynamic parameter self-adaptation, which are then applied to optimize model. Experimental validation using TJ Corporation’s New Energy Vehicles (NEVs) demonstrates superiority proposed over MHWOA, WOA-RBF, WOA-VMD. Results show that achieves 42.1% increase 98% exhaust gas purification rate, 18.2% average energy-saving improvement, 17.9% reduction manufacturing costs. This transformation low-carbon emission-reduction infrastructure delivers significant economic social benefits, positioning it as solution industry.

Language: Английский

Citations

0
An evaluation method for synergistic effect of air pollutants and CO2 emission reduction in the Chinese petroleum refining technology DOI
Dandan Liu, Xueying Li, Dong Wang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123169 - 123169

Published: Nov. 4, 2024

Language: Английский

Citations

2
Synergies quantification and evolution on air pollutant and CO2 emissions driven by different socio-economic effects DOI
Fan Yu,

SiYu Jing,

Min Zhan

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: unknown, P. 120018 - 120018

Published: Sept. 1, 2024

Language: Английский

Citations

1
Synergies Quantification and Evolution on Air Pollutant and Co2 Emissions Driven by Different Socio-Economic Effects DOI
Fan Yu,

Siyu Jing,

Min Zhan

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0