Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China DOI Creative Commons
Jiqiang Niu, Hongrui Li, Xiaoyong Liu

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(12), P. 1499 - 1499

Published: Dec. 16, 2024

Air pollution is influenced by a combination of pollutant emissions and meteorological conditions. Anthropogenic conditions are the two main causes atmospheric pollution, contribution meteorology to reduction PM2.5 concentrations across country has not yet been comprehensively examined. This study used Kolmogorov–Zurbenko (KZ) filter random forest (RF) model decompose reconstruct time series in five major urban agglomerations China, analyzing impact factors on concentrations. From 2015 2021, significantly decreased all agglomerations, with annual averages dropping approximately 50% Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD), Central Plain (CP), Chengdu–Chongqing (CC). was due both favorable emission reductions. The KZ effectively separated series, RF achieved high squared correlation coefficient (R2) values between predicted observed values, ranging from 0.94 0.98. Initially, had positive reduction, indicating unfavorable conditions, but this gradually turned negative, By rates BTH, YRD, PRD, CP, CC changed 14.3%, 16.9%, 7.2%, 12.2%, 11.5% −36.5%, −31.5%, −26.9%, −30.3%, −23.5%, respectively. Temperature pressure most significant effects decline BTH CP after 2017 indicated that control measures were taking effect. confirms effective combined jointly contributed improvement air quality.

Language: Английский

Study on power system resilience assessment considering cascading failures during wildfire disasters DOI
Baohong Li, Changle Liu, Yue Yin

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 1819 - 1833

Published: Jan. 24, 2025

Language: Английский

Citations

0
Local and transboundary contributions to NOy loadings across East Asia using CMAQ-ISAM and a GEMS-informed emission inventory during the winter–spring transition DOI Creative Commons
Jincheol Park, Yunsoo Choi, Sagun Kayastha

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(7), P. 4291 - 4311

Published: April 15, 2025

Abstract. We investigated source contributions of nitrogen oxides (NOx) emissions to reactive species (NOy) loadings across East Asia during the 2022 winter–spring transition. Using Community Multiscale Air Quality (CMAQ) model and its Integrated Source Apportionment Method (ISAM), we conducted air quality simulations, leveraging top-down estimates NOx adjusted by Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric dioxide (NO2) columns. After Bayesian inversion, inventoried increased 50 % in South Korea 33 China compared a priori estimates, which substantially reduced model's prior underestimation surface NO2 concentrations from −32.75 −13.01 −10.26 −3.04 China. local transboundary NOy Asia. Local showed declining trend, 32 %–43 January 23 %–30 May, while consistently 16 %–33 27 %–37 May. North contributed over 10 Asia's loadings. Central were significant contributors each other's budget 9 %–12 %. outweighed 5 %, indicating vulnerability pollution transport. Korea, initially least influential, 1 %–4 January. This 6 %–7 becoming comparable other regions' contributions. These behaviors driven distinct synoptic settings, where strong wintertime northwesterly winds directed pollutants southeastward, their weakening spring led more multidirectional transport patterns, allowing spread broadly regions.

Language: Английский

Citations

0
Environmental Implications of Heavy Metal Deposition and Particulate Matter in Coal Mining Ecosystems DOI Open Access
Deepak Bhanot, Yogesh Jadhav,

G.P. Tiwari

et al.

Natural and Engineering Sciences, Journal Year: 2025, Volume and Issue: 10(1), P. 325 - 339

Published: April 1, 2025

Heavy metals and PM are among the contaminants that coal mining operations discharge into surroundings in large quantities, harming human health environmental pollution. The research aims to examine spatial sequential deviations of air heavy metal deposition regions. Additionally, it determine major causes pollution evaluate how affected hazards atmosphere public well-being. To identify sources data on quality, advanced techniques employed. Over a specific period, pollutants such SO2, NO2, CO, PM2.5 measured at various locations. Both geographical distribution percentage measured. According research, main include wind-blown road dust, active mine fires, vehicle emissions, activities. order mean concentrations is Fe > Cu Zn Mn Pb Cr Cd Ni As Hg. There threats ecological well-being from high particulate substances hazardous metals. results emphasize quickly strong control regulations sustainable methods needed. Minimizing negative effects ecosystems requires reducing emissions mining, setting dust measures place, enforcing stronger laws.

Language: Английский

Citations

0
Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China DOI Creative Commons
Jiqiang Niu, Hongrui Li, Xiaoyong Liu

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(12), P. 1499 - 1499

Published: Dec. 16, 2024

Air pollution is influenced by a combination of pollutant emissions and meteorological conditions. Anthropogenic conditions are the two main causes atmospheric pollution, contribution meteorology to reduction PM2.5 concentrations across country has not yet been comprehensively examined. This study used Kolmogorov–Zurbenko (KZ) filter random forest (RF) model decompose reconstruct time series in five major urban agglomerations China, analyzing impact factors on concentrations. From 2015 2021, significantly decreased all agglomerations, with annual averages dropping approximately 50% Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD), Central Plain (CP), Chengdu–Chongqing (CC). was due both favorable emission reductions. The KZ effectively separated series, RF achieved high squared correlation coefficient (R2) values between predicted observed values, ranging from 0.94 0.98. Initially, had positive reduction, indicating unfavorable conditions, but this gradually turned negative, By rates BTH, YRD, PRD, CP, CC changed 14.3%, 16.9%, 7.2%, 12.2%, 11.5% −36.5%, −31.5%, −26.9%, −30.3%, −23.5%, respectively. Temperature pressure most significant effects decline BTH CP after 2017 indicated that control measures were taking effect. confirms effective combined jointly contributed improvement air quality.

Language: Английский

Citations

0