Visualization Analysis for the Service Functions and Ecological Benefits of Urban Green Space System Based on CiteSpace DOI

Hengyu Liu,

Zhouli Liu,

Xin Wang

et al.

Published: Sept. 20, 2024

Language: Английский

Research on the Impact of Urban Built Environments on PM2.5 Pollution Based on Machine Learning Methods DOI
Xiaoxia Wang, Zhihai Fan,

Yue X

et al.

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102503 - 102503

Published: March 1, 2025

Language: Английский

Citations

0

A parametric study of urban ventilation corridors for improving air quality in compact cities DOI
Yiqi Wang,

Mingming Qi,

Yihang Lu

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 500, P. 145219 - 145219

Published: March 14, 2025

Language: Английский

Citations

0

Assessing the contribution of urban green space landscape patterns to ozone concentration variations DOI
Yu Li, Min Cao, S. Yan

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121434 - 121434

Published: March 1, 2025

Language: Английский

Citations

0

Impact of Changes in—Blue and Green Spaces on the Spatiotemporal Evolution of the Urban Heat Island Effect in Ningbo and Its Implications for Sustainable Development DOI Open Access
Hao Yang, Hao Zeng

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4156 - 4156

Published: May 4, 2025

Blue and green spaces (BGS) play a crucial role in mitigating the urban heat island (UHI) effect by not only lowering land surface temperature (LST) but also regulating microclimate enhancing ecosystem services. In this study, Ningbo City is selected as research area. LST data for years 2014, 2017, 2020, 2023 were retrieved using Landsat 8 imagery processed via Google Earth Engine platform, employing an atmospheric correction approach. Simultaneously, use types classified random forest algorithm. Based on these datasets, Geographically Temporally Weighted Regression model was employed to quantitatively assess spatial temporal impacts of BGS changes UHI effect. The results reveal that (1) from 2014 2023, exhibited consistent decline, while construction expanded significantly, leading gradual increase annual average LST; (2) strong zones primarily concentrated urbanized closely aligned with regions elevated minimum, maximum, values blue significantly lower than those observed cultivated land; (3) variation influence coefficient space greater space, suggesting stronger spatiotemporal heterogeneity its regulatory thermal environment. Additionally, green-to-blue area ratio increased 9.7:1 12.8:1 deviating progressively optimal ecological balance. To promote sustainable development, it imperative strengthen conservation restoration BGS, optimize their configuration through evidence-based planning, ensure long-term stability functions.

Language: Английский

Citations

0

Influence of urban forest size and form on PM2.5 and O3 concentrations: A perspective of size threshold DOI
Xin Chen, Fang Wei

Air Quality Atmosphere & Health, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Language: Английский

Citations

0

Spatiotemporal Analysis of Air Pollution and Climate Change Effects on Urban Green Spaces in Bucharest Metropolis DOI Creative Commons
Maria A. Zoran, Dan Savastru,

Marina N. Tautan

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(5), P. 553 - 553

Published: May 7, 2025

Being an essential issue in global climate warming, the response of urban green spaces to air pollution and variability because rapid urbanization has become increasing concern at both local levels. This study explored vegetation Bucharest metropolis Romania from a spatiotemporal perspective during 2000–2024, with focus on 2020–2024 period. Through synergy time series situ data, derived biophysical variables MODIS Terra/Aqua satellite this applied statistical regression, correlation, linear trend analysis assess relationships between their pairwise associations. Green were measured normalized difference index (NDVI), leaf area (LAI), photosynthetically active radiation (FPAR), evapotranspiration (ET), net primary production (NPP), which capture complex characteristics systems (gardens, street trees, parks, forests), periurban forests, agricultural areas. For center (6.5 km × 6.5 km) metropolitan (40.5 40.5 test areas, five-year investigated period, found negative correlations NDVI ground-level concentrations particulate matter two size fractions, PM2.5 (city r = −0.29; p < 0.01, −0.39; 0.01) PM10 −0.58; −0.56; 0.01), as well gaseous pollutants (nitrogen dioxide—NO2, sulfur dioxide—SO2, carbon monoxide—CO. Also, parameters, relative humidity (RH), land surface albedo (LSA) observed. These results show potential improve quality through pollutant deposition, retention, alteration health, particularly dry seasons hot summers. same period analysis, positive solar irradiance (SI) planetary boundary layer height (PBL) recorded. Because summer season’s (June–August) increase ozone, significant (r −0.51, for city −76; area, may explain degraded or devitalized under high ozone research reported temperature 2 m (TA) −0.84; scale −0.90; (LST) p< −0.68, 0.01). During seasons, ET parameters TA 0.91; SI RH 0.65; 0.83; are associated cooling effects vegetation, showing that higher density is lower temperatures. The correlation LST −0.92; explains imprint diurnal variations contrast TA. decreasing NPP over 24 years highlighted feedback warming. future cities, contribute development advanced strategies protection better mitigation increased frequency extreme events.

Language: Английский

Citations

0

Characterization of Spatial and Temporal Variations in Air Pollutants and Identification of Health Risks in Xi’an, a Heavily Polluted City in China DOI Creative Commons
Li Han,

Yongjie Qi

Atmosphere, Journal Year: 2024, Volume and Issue: 15(6), P. 716 - 716

Published: June 14, 2024

The study of the temporal and spatial characteristics air pollutants in heavily polluted cities is extremely important for analyzing causes pollution achieving a viable means control. Such case Xi’an, typical city Fenwei Plain, China, have remained unclear due to limitations data accuracy research methods. monthly, daily, hourly patterns O3 particulate matter (PM2.5 PM10) are analyzed this using on-site provided by an urban quality monitoring network. analysis variance (ANOVA) method was used compare differences pollutant concentrations during different seasons time periods. distributions O3, PM2.5, PM10 at points following interpolation sites been analyzed. results show that concentration from 12 p.m. 3 significantly higher than morning evening, PM2.5 7 10 were those afternoon. number qualified days less 30 unqualified more 100 2019. There potential risk exposure with associated health risks. Even on same day, can differ significantly. This provides scientific basis reducing exposure. Outdoor activities summer beneficial reduce exposure, outdoor should be curtailed evening winter government formulate public policies activities.

Language: Английский

Citations

1

Developing a co-benefits evaluation model to optimize greening coverage designs on university campuses in hot and humid areas DOI

Xiaoqing Zhou,

Shiyuan Deng,

Yongbo Cui

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115214 - 115214

Published: Dec. 1, 2024

Language: Английский

Citations

1

Towards Cleaner Air in Urban Areas: The Dual Influence of Urban Built Environment Factors and Regional Transport DOI
Li Han,

Yongjie Qi,

Dong Liu

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125584 - 125584

Published: Dec. 1, 2024

Language: Английский

Citations

1

Urban Climate Dynamics: Analyzing the Impact of Green Cover and Air Pollution on Land Surface Temperature—A Comparative Study Across Chicago, San Francisco, and Phoenix, USA DOI Creative Commons
Sepideh Azizi, Tahmineh Azizi

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 917 - 917

Published: July 31, 2024

Rapid urbanization worldwide has significantly altered urban climates, creating a need to balance growth with thermal environmental quality for sustainable development. This study examines the relationship between land surface temperature (LST) and characteristics, particularly focusing on how green cover can mitigate heat air pollution increase temperatures. Recognizing predictive value of LST island (UHI) intensity, we analyzed three distinct U.S. cities—Chicago, San Francisco, Phoenix—each characterized by unique climate planning features. investigates atmospheric pollutants (SO2, NO2, CO, O3) Normalized Difference Vegetation Index (NDVI) using regression correlation analyses. The analysis aims elucidate changes in NDVI affect variations temperature. Regression is employed estimate coefficients independent variables quantify their impact LST. Correlation assesses linear relationships variables, providing insights into pairwise associations. also multicollinearity identify potential confounding factors. results reveal significant associations pollutants, NDVI, temperature, contributing our understanding factors influencing dynamics informing change mitigation strategies. observed inconsistencies correlations across cities highlight importance local context studies. Understanding these aid developing tailored policies that consider city characteristics more effective resilience. Furthermore, positive association was consistently obtained LST, indicating increased levels contribute higher temperatures different settings.

Language: Английский

Citations

0