Impact assessment of river dust on regional air quality through integrated remote sensing and air quality modeling-Reference-Cited by-同舟云学术

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Impact assessment of river dust on regional air quality through integrated remote sensing and air quality modeling

Published:2021-02 Issue: Volume:755 Page:142621
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Chen Chien-Yuan,Chen Ho Wen,Sun Chu-Ting,Chuang Yen Hsun,Nguyen Kieu Lan Phuong,Lin Yu Ting

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference68 articles.

1. Estimation of global soil respiration by accounting for land-use changes derived from remote sensing data;Adachi;J. Environ. Manag.,2017

2. Climate change and associated spatial heterogeneity of Pakistan: empirical evidence using multidisciplinary approach;Ali;Sci. Total Environ.,2018

3. Valuation and validation of carbon sources and sinks through land cover/use change analysis: the case of Bangkok metropolitan area;Ali;Land Use Policy,2018

4. Temporal and spatial variations of particulate matter and gaseous pollutants in the urban area of Tehran;Alizadeh-Choobari;Atmos. Environ.,2016

5. Effects of simulated climate change on the hydrology of major river basins;Arora;J. Geophys. Res.-Atmos.,2001

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing the oxidative potential of dust from great salt Lake;Atmospheric Environment;2024-11

2. River dust-induced air pollution in a changing climate: A study of Taiwan's Choshui and Kaoping Rivers;Environmental Pollution;2024-11

3. Exploring the Effects of Urmia Lake’s Variability on Adjacent Cities and Villages;Journal of the Indian Society of Remote Sensing;2024-06-07

4. Impact assessment of spatial–temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling;Environmental Science and Pollution Research;2024-02-03

5. Evaluating the impact of sampling designs on the performance of machine learning techniques for land use land cover classification using Sentinel-2 data;International Journal of Remote Sensing;2023-12-12

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