Spatio-temporal evolution characteristics and influencing factors of environmental welfare performance in Chinese cities

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 3, 2025

Background In the process of China’s urbanization, issues such as air pollution, water soil and noise pollution have become increasingly prominent, severely constraining sustainable development cities. The resultant decline in environmental welfare performance (EWP) not only affects residents’ quality life but may also lead to public health issues, increasing healthcare costs, subsequently impacting social stability economic development. Methods This paper incorporates factors closely related welfare, into analytical framework performance. Using Hybrid-Network-DEA model, we measure EWP 240 cities China, then investigate spatial distribution characteristics spatio-temporal evolution patterns EWP. Finally, empirical testing influencing is conducted using econometric methods. Results overall level Chinese from 2004 2019 relatively low, it generally shows a wavy upward trend. Meanwhile, notable regional disparities exist EWP, with highest average east, followed by west, lowest central. main source differences lies inter-regional disparities. greatest internal are found while largest between east west. A pronounced positive autocorrelation observed among Economic development, opening-up, financial digital infrastructure, population density significantly promote local whereas industrial structure transportation exerted opposite effects. Additionally, enhancement neighboring regions notably facilitated infrastructure. Within three major regions, direct indirect effects various exhibit significant differences. Conclusion Based on these insights, suggest comprehensively improving efficiency, narrowing disparities, strengthening agglomeration effects, optimizing structure, support infrastructure construction.

Language: Английский

Research on the impact of land use and land cover changes on local meteorological conditions and surface ozone in the north China plain from 2001 to 2020

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 15, 2025

Land use and land cover changes (LULCC) alter local surface attributes, thereby modifying energy balance material exchanges, ultimately impacting meteorological parameters air quality. The North China Plain (NCP) has undergone rapid urbanization in recent decades, leading to dramatic cover. This study utilizes the 2020 data obtained from MODIS satellite replace default 2001 Weather Research Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model. It simulates analyzes direct impact of LULCC on indirect ozone (O3) concentration through physical chemical processes during July summer. Six rapidly urbanizing cities were selected represent Plain. results show that significantly increased sensible heat flux 2-m temperature areas throughout diurnal cycle, with more pronounced effects daytime, ranging 6.49 23.46 W/m2 0.20–0.59 °C, respectively. 10-m wind speed decreased at night day, − 0.43 0.27 m/s 0.16 0.15 day. planetary boundary layer height generally increased, a larger rise 23.63 84.74 m. Simultaneously, O3 concentrations both daytime nighttime. increase ranged 2.89 9.82 μg/m3, while nighttime 1.76 7.77 μg/m3. enhanced as well vertical transport, an O3. At same time, it reduced horizontal transport dry deposition processes. These are related variations. was not limited but extended top (approximately 1500 m). Below 500 m, concentrations, concentrations. Additionally, induced by showed above surface, whereas process had smaller surface. reveals significant urban expansion regional optimizes model's simulation quality provides new insights into understanding conditions

Language: Английский

Research on ozone pollution control strategies for urban agglomerations based on ozone formation sensitivity and emission source contributions

Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125182 - 125182

Published: Oct. 1, 2024

Language: Английский