干旱区生态环境知识资源中心(Arid): Impact assessment of spatial-temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling

Arid

DOI	10.1007/s11356-024-32226-z
	Impact assessment of spatial-temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling
	Chen, Ho-Wen; Chen, Chien-Yuan; Lin, Guan-Yu
通讯作者	Lin, GY
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2024
英文摘要	Soil erosion is a severe problem in Taiwan due to the steep terrain, fragile geology, and extreme climatic events resulting from global warming. Due to the rapidly changing hydrological conditions affecting the locations and the amount of transported sand and fine particles, timely impact evaluation and riverine dust control are difficult, particularly when resources are limited. To comprehend the impact of desertification in estuarine areas on the variation of air pollutant concentrations, this study utilized remote sensing technology coupled with an air pollutant dispersion model to determine the unit contribution of potential pollution sources and quantify the effect of riverine dust on air quality. The images of the downstream area of the Beinan River basin captured by Formosat-2 in May 2006 were used to analyze land use and land cover (LULC) composition. Subsequently, the diffusion model ISCST-3 based on Gaussian distribution was utilized to simulate the transport of PM across the study area. Finally, a mixed-integer programming model was developed to optimize resource allocation for dust control. Results reveal that sand deposition in specific river sections significantly influences regional air quality, owing to the unique local topography and wind field conditions. The present optimal plan model for regional air quality control further showed that after implementing engineering measures including water cover, revegetation, armouring cover, and revegetation, total PM concentrations would be reduced by 51%. The contribution equivalent calculation, using the air pollution diffusion model, was effectively integrated into the optimization model to formulate a plan for reducing riverine dust with limited resources based on air quality requirements.
英文关键词	Remote sensing Riverine dust Airborne particulate matter Air quality simulation model Optimization model
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001155887000003
WOS关键词	LEVEL PM2.5 CONCENTRATIONS ; FINE PARTICULATE MATTER ; AEROSOL OPTICAL DEPTH ; LAND-USE ; SOURCE APPORTIONMENT ; RESOLUTION ; TAIWAN ; UNCERTAINTY ; TRANSPORT ; PATTERNS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403667
推荐引用方式 GB/T 7714	Chen, Ho-Wen,Chen, Chien-Yuan,Lin, Guan-Yu. Impact assessment of spatial-temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling[J],2024.
APA	Chen, Ho-Wen,Chen, Chien-Yuan,&Lin, Guan-Yu.(2024).Impact assessment of spatial-temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Chen, Ho-Wen,et al."Impact assessment of spatial-temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2024).