Xu C Q, Hu J J, Zhang Z, Zhang X M, Wang W B, Cui Z N
College of Geographical Science, Shanxi Normal University, Taiyuan, 030031, China; Institute of Desert Meteorology, China Meteorological Administration, Taklimakan National Field Scientific Observation and Research Station of Desert Meteorology, Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Taklimakan Desert Meteorology Field Experiment Station, Field Scientific Experiment Base of Akdala Atmospheric Background, Urumqi, 830002, China.
College of Geographical Science, Shanxi Normal University, Taiyuan, 030031, China.
Chemosphere. 2023 Dec;344:140280. doi: 10.1016/j.chemosphere.2023.140280. Epub 2023 Sep 25.
Dust storms have direct or indirect impacts on climate change and human health. Identifying and quantifying natural/anthropogenic dust sources can facilitate effective prevention and control of dust events. Based on surface real-time PM monitoring data, satellite remote sensing and the HYSPLIT model, this study determined the specific timing, coverage and sources of dust events in Shanxi Province, Northern China. Thus, a composite fingerprinting technique was established to quantify potential dust sources and dust contributions of single dust events. The dust oxidation model was validated, indicating that the composite fingerprinting technique was well suited to the study region. The results show that natural dust sources (67%) contributed more to the study region than anthropogenic dust sources. They were mainly from the northwest and north of the study region. Particularly, the contributions of Taiyuan (TY) and Linfen (LF) accounted for the largest (82%) and smallest (55%) proportions, respectively, both exceeding 50%. Anthropogenic dust sources contributed 33%, mainly from the east and south of the study region. The contribution of anthropogenic dust sources increased in the study region from north to south. In terms of potential dust sources, the Tengger Desert and Badain Jaran Desert (TDBD) contributed the most (26%), followed by the Otindag Sandy Land (OL) (22%). The Taklimakan Desert (TD) contributed the least (2%). The Middle Farmland region of the Hexi Corridor (HMF) in the west (15%) had the largest proportion of anthropogenic dust sources. Differences in the regional contribution of potential dust sources mainly resulted from winter winds, surface drought severity and particle size. At an insignificant distance from the study region, the contribution of potential dust sources was larger in the west than in the east and increased from south to north overall. These methods and findings can contribute to improving the ecological environment in Northern China.
沙尘暴对气候变化和人类健康有着直接或间接的影响。识别和量化自然/人为沙尘源有助于有效预防和控制沙尘事件。基于地面实时PM监测数据、卫星遥感和HYSPLIT模型，本研究确定了中国北方山西省沙尘事件的具体时间、范围和来源。因此，建立了一种综合指纹识别技术，以量化单个沙尘事件的潜在沙尘源和沙尘贡献率。对沙尘氧化模型进行了验证，表明综合指纹识别技术非常适合该研究区域。结果表明，自然沙尘源（67%）对研究区域的贡献大于人为沙尘源。它们主要来自研究区域的西北部和北部。特别是，太原（TY）和临汾（LF）的贡献率分别占最大（82%）和最小（55%），均超过50%。人为沙尘源贡献率为33%，主要来自研究区域的东部和南部。研究区域内人为沙尘源的贡献率从北向南增加。在潜在沙尘源方面，腾格里沙漠和巴丹吉林沙漠（TDBD）贡献最大（26%），其次是浑善达克沙地（OL）（22%）。塔克拉玛干沙漠（TD）贡献最小（2%）。西部河西走廊中部农田地区（HMF）的人为沙尘源比例最大（15%）。潜在沙尘源区域贡献的差异主要源于冬季风、地表干旱程度和颗粒物大小。在距研究区域不远的地方，西部潜在沙尘源的贡献大于东部，总体上从南向北增加。这些方法和研究结果有助于改善中国北方的生态环境。
