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CAS","award":["41901234"],"award-info":[{"award-number":["41901234"]}]},{"name":"Exploratory Forefront Project for the Strategic Science Plan in IGSNRR, CAS","award":["31870706"],"award-info":[{"award-number":["31870706"]}]},{"name":"Exploratory Forefront Project for the Strategic Science Plan in IGSNRR, CAS","award":["2015ZCQSB03"],"award-info":[{"award-number":["2015ZCQSB03"]}]},{"name":"Exploratory Forefront Project for the Strategic Science Plan in IGSNRR, CAS","award":["71225005"],"award-info":[{"award-number":["71225005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Northwest China is significantly affected by sandstorm disasters. To mitigate the negative impacts of sandstorm events, it is critical to understand the spatio-temporal variations in typical sand and dust storms and their influencing factors. In this work, using ground-based measurements of particulate matter and remote sensing data such as MODIS, OMI, and CALIPSO data, the sources of aerosol pollution and aerosol optical properties of a typical sandstorm event that occurred in Northwest China in 2018 was studied. In addition, the HYSPLIT model was used to explore the air mass trajectories in order to analyze the sand and dust migration process during the sandstorm event. Furthermore, the wind erosion sensitivity of Northwest China was analyzed via single factor analysis and multi-factor superposition of wind field intensity, soil drought index, vegetation coverage, and relief amplitude. Finally, the region of the study area having a high comprehensive wind erosion sensitivity was identified. The results showed that the PM10 concentrations exceeded 400 \u00b5g\/m3 and the PM2.5\/PM10 ratio did not exceeded 0.6 during the sandstorm event, indicating that natural particulate matter was dominant in the ambient air. At the epicenter of pollution, the aerosol optical depth (AOD) at 550 nm was 0.75\u20131. By combining AOD data with wind speed and direction data from field observation stations, it was found that the sandstorm event in 2018 mainly occurred between 1 April and 3 April, and affected all of Northwest China on 2 April and 3 April. The absorbed aerosol index (AAI) ranged between 2.5 and 4, indicating that the Taklimakan Desert was the main source of sandstorm events in Northwest China. The CALIPSO total attenuated backscatter coefficient at 532 nm indicated that the main component of tropospheric aerosol in this region was distributed in the range of 0\u201312.5 km. The simulated airflow track showed that it had the same dust source regions as AAI index studies. Moreover, investigation of wind erosion sensitivity in the study areas indicated that the Taklimakan Desert and other desert regions were the main ecologically sensitive areas. These conclusions can provide references and suggestions for the mitigation of damage caused by sandstorm events, in addition to the enhancement of ecological governance.<\/jats:p>","DOI":"10.3390\/rs14133065","type":"journal-article","created":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T22:50:23Z","timestamp":1656283823000},"page":"3065","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Spatio-Temporal Evolution of a Typical Sandstorm Event in an Arid Area of Northwest China in April 2018 Based on Remote Sensing Data"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4993-208X","authenticated-orcid":false,"given":"Zhiyu","family":"Wu","sequence":"first","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"}]},{"given":"Qun\u2019ou","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"},{"name":"Key Laboratory of Soil and Water Conservation and Desertification Prevention, Beijing Forestry University, Beijing 100083, China"},{"name":"Jinyun Forest Ecosystem Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"}]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"}]},{"given":"Huijie","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China"}]},{"given":"Dirk","family":"Freese","sequence":"additional","affiliation":[{"name":"Department of Soil Protection and Recultivation, Faculty of Environment and Natural Sciences, Brandenburg University of Technology, D-03046 Cottbus, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,26]]},"reference":[{"key":"ref_1","first-page":"5","article-title":"Study on Dynamic Remote Sensing Monitoring of LUCC and Soilwind Erosion Intensity in the Beijing-Tianjin Sandstorm Source Control Project Region","volume":"33","author":"Chi","year":"2019","journal-title":"Remote Sens. 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