Differential effects of urbanization on air pollution: Evidences from six air pollutants in mainland China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 146, P. 109924 - 109924

Published: Jan. 20, 2023

Rapid urbanization has led to economic growth with inevitable air pollution. There are significant differences in the dominant factors of different pollutants. However, influencing mechanism on pollutants is still unclear. Therefore, exploring differential effects various great significance for accelerating local collaborative treatment and improving regional quality. Based analysis spatial–temporal pattern evolution, spatial agglomeration, internal correlation six mainland China during 2013–2020, namely PM2.5, PM10, SO2, NO2, O3 CO, we combined environmental Kuznets theory build a panel regression model Except NO2 O3, concentrations other four all decreased degrees, among which, SO2 concentration most. The pollution showed that typical areas significantly, while which higher population density or development was relatively higher. As key factor affecting quality, aspects have direction intensity effect relationship between conforms curve (EKC). nonlinear relationships CO concentrations, inverted "U-shaped", "N-shaped", "U-shaped" respectively. In addition, spillover whose reflects phased change.

Language: Английский

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Can regional joint prevention and control of atmospheric reduce border pollution? Evidence from China's 12th Five-Year Plan on air pollution

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 342, P. 118342 - 118342

Published: June 9, 2023

Language: Английский

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Exploring the effect of ecological land structure on PM2.5: A panel data study based on 277 prefecture-level cities in China

Environment International, Journal Year: 2023, Volume and Issue: 174, P. 107889 - 107889

Published: March 21, 2023

In the context of serious urban air pollution and limited land resources, it is important to understand environmental value ecological land. Previous studies focused mostly on effectiveness a particular type green space or total amount PM2.5 have rarely analyzed association between structure systematically quantitatively. Therefore, we took 277 cities in China as an example, comprehensively compared results different models, selected spatial Durbin model using time-fixed effects dissect degree influence types within PM2.5. The use was closely related PM2.5, higher proportion was, lower direction functions differed, with forests, shrubs, grasslands causing weakening impact while wetlands waters did not role. reduction by single significantly smaller than that composite Green should be considered, designed adjusted planning continuously optimize structure, increase landscape diversity maximize benefits. findings this study help exploring under goal-oriented control provide theoretical reference decision-making support for formulating precise policies optimizing development national

Language: Английский

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Dynamic evolution of urban resilience and its coupling mechanism with EF3D-driven natural capital utilization: Case study in three typical urban agglomerations of China

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107518 - 107518

Published: April 24, 2024

Language: Английский

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Identification of potential source regions and long-range transport routes/channels of marine PM2.5 at remote sites in East Asia

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 915, P. 170110 - 170110

Published: Jan. 16, 2024

Language: Английский

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Spatial and temporal variation of PM2.5 and the influence of vegetation in the Yangtze River Delta region

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(11), P. 102266 - 102266

Published: July 26, 2024

With rapid urbanisation in China, PM2.5 has become a limiting factor for the sustainable development of cities. Taking Yangtze River Delta as experimental area, this study analysed spatial and temporal changes concentrations from 2001 to 2020. It also examined variations, dispersion, correlation with NDVI different vegetation zones at scales. The results showed that: (1) concentration an overall decreasing trend during 2001–2020, change was divided into two phases, starting increasing phase entering after 2013. (2) In terms distribution, show pattern low south high north, focus shifting north over time. There is levels particulate matter Hefei-Nanjing-Wuxi area. (3) effect natural on reduction stabilization atmospheric better than that artificial vegetation. (4) Needleleaf forests, broadleaf shrubs are more capable reducing stabilizing grasses. can provide reference regional air pollution control plant system construction.

Language: Английский

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Exploring the green technology collaboration network of the Yangtze River City cluster—from intra-cluster and inter-cluster perspectives

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

Published: Jan. 3, 2025

Language: Английский

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Long-term perspectives on land-use changes and air pollution policies in Iran: A comparative analysis of regional and global patterns in atmospheric PM2.5

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124346 - 124346

Published: Feb. 1, 2025

Language: Английский

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Understanding the Dynamics of PM2.5 Concentration Levels in China: A Comprehensive Study of Spatio-Temporal Patterns, Driving Factors, and Implications for Environmental Sustainability

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1742 - 1742

Published: Feb. 19, 2025

Over the past decade, China’s air quality has improved significantly. To further mitigate concentration levels of fine particulate matter (PM2.5), this study analyzed spatio-temporal evolution PM2.5 concentrations from 2012 to 2022. Furthermore, integrated generalized additive model (GAM) and GeoDetector investigate main driving factors explored complex response relationships between these concentrations. The results showed following: (1) annual average in China peaked 2013. reductions each city ranged 1.48 7.33 μg/m3. In year, were always consistently higher north east lowest northeast southwest China. (2) terms spatial distribution, North Plain, Middle Lower Yangtze River Sichuan Basin exhibited highest high aggregation characteristics. (3) analysis identified SO2, NO2, CO meteorological conditions as important influencing differentiation PM2.5. GAM that factors, such temperature, atmospheric pressure, wind speed, precipitation, generally had specific inflection points their effects on levels. relationship with gross domestic product population density followed an inverted U shape. under land use types cropland, barren, impervious, water than others. decreased significantly all types. Our work can be used a strong basis for providing insights crucial developing long-term pollution control strategies promoting environmental sustainability.

Language: Английский

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Spatiotemporal distribution of PM2.5 concentrations in Shaanxi Province, China, and its responses to land use changes and meteorological factors

Journal of Atmospheric and Solar-Terrestrial Physics, Journal Year: 2025, Volume and Issue: unknown, P. 106494 - 106494

Published: March 1, 2025

Language: Английский

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