Abstract
At present, fine particulate matter (PM2.5) has become an important pollutant in regard to air pollution and has seriously harmed the ecological environment and human health. In the face of increasingly serious PM2.5 air pollution problems, feasible large-scale continuous spatial PM2.5 concentration monitoring provides great practical value and potential. Based on radiative transfer theory, a correlation model of the nighttime light radiance and ground PM2.5 concentration is established. A multiple linear regression model is proposed with the light radiance, meteorological elements (temperature, relative humidity, and wind speed) and terrain elements (elevation, slope, and terrain relief) as variables to estimate the ground PM2.5 concentration at 56 air quality monitoring stations in the Pearl River Delta (PRD) urban agglomeration from 2018 to 2019, and the accuracy of model estimation is tested. The results indicate that the R2 value between the model-estimated and measured values is 0.82 in the PRD region, and the model attains a high estimation accuracy. Moreover, the estimation accuracy of the model exhibits notable temporal and spatial heterogeneity. This study, to a certain extent, mitigates the shortcomings of traditional ground PM2.5 concentration monitoring methods with a high cost and low spatial resolution and complements satellite remote sensing technology. This study extends the use of LJ1-01 nighttime light remote sensing images to estimate nighttime PM2.5 concentrations. This yields a certain practical value and potential in nighttime ground PM2.5 concentration inversion.
Highlights
IntroductionAir pollution has become an important environmental pollution problem
The results demonstrate that there are ten ground stations located in the southeastern coastal zone of the Pearl River Delta (PRD), and the model-estimated average values at nine stations are all higher than the measured average values, which further confirms the research results of
This paper focuses on the problem of PM2.5 concentration estimation at night in the PRD and relies on radiation transmission theory to analyze the correlation between the nighttime light radiance and PM2.5 concentration
Summary
Air pollution has become an important environmental pollution problem. In 2012, the concentration of fine particulate matter (PM2.5 ) was listed as an important pollution source indicator in China’s National Ambient Air Quality Standard [1,2]. PM2.5 can remain in the atmosphere for a long time, which seriously affects visibility and causes environmental and meteorological problems such as haze and temperature and precipitation anomalies [3,4,5,6,7] and endangers human health [8,9,10,11,12,13,14], impacting normal economic and social activities. It is urgent to control PM2.5 , and accurate monitoring and estimation of the temporal and spatial distributions of the PM2.5 concentration are essential. 4.0/).
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