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

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City DOI Creative Commons
Qingchun Guo,

Zhenfang He,

Zhaosheng Wang

et al.

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

Published: Feb. 25, 2025

Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization urbanization, Liaocheng has experienced increasing ozone concentration over several years. Therefore, become a major environmental problem in City. Long short-term memory (LSTM) artificial neural network (ANN) models are established predict concentrations City from 2014 2023. The results show general improvement accuracy LSTM model compared ANN model. Compared ANN, an increase determination coefficient (R2), value 0.6779 0.6939, decrease root mean square error (RMSE) 27.9895 μg/m3 27.2140 absolute (MAE) 21.6919 20.8825 μg/m3. prediction is superior terms R, RMSE, MAE. In summary, promising technique for predicting concentrations. Moreover, by leveraging historical data enables accurate predictions future on global scale. This will open up new avenues controlling mitigating pollution.

Language: Английский

Citations

3
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