Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
Sci Total Environ. 2019 Apr 10;660:947-958. doi: 10.1016/j.scitotenv.2018.12.412. Epub 2019 Jan 2.
Four main dust sources and dust events that affected the Hexi Corridor were defined, and the HYSPLIT model was used to trace the dust that originated during the dust episodes of 2015-2017 and to quantify the contributions of dust sources to PM. On this basis, an algorithm that quantified the contribution of dust sources to PM was proposed in this study. The results showed that the main dust sources affecting the Hexi Corridor are generally located in the northern part of Xinjiang, which is mainly dominated by the Gurbantunggut Desert (source A); the Taklimakan and Kumtag Deserts and their surrounding areas (source B); both Qaidam Basins (source C); and the Badain Jaran Desert, Tengger Desert, Hobq Desert, Ulan Buh Desert, and Mu Us Sandy Land and their surrounding areas (source D). The occurrence time of dust and the frequency of PM exceeded the daily concentration standards and showed significant characteristics of being high in the spring and low in the autumn. The higher concentration of PM in the winter was mainly due to anthropogenic sources from heating process. The contribution of source area D to PM concentration was the greatest (42%). Source area B was one of the main dust sources (with a contribution rate of 23%); however, approximately 63% of the dust in this area originates from the Kumtag Desert. The contribution of source area A is lower than that of the study area due to greater precipitation and higher vegetation coverage (22% contribution rate). Source area C has the lowest contribution to the research area due to obstruction by the Qilian Mountain (13% contribution rate).
确定了影响河西走廊的四个主要尘源和尘暴事件，并使用 HYSPLIT 模型追溯了 2015-2017 年尘暴期间产生的尘埃，并量化了尘源对 PM 的贡献。在此基础上，提出了一种量化尘源对 PM 贡献的算法。结果表明，影响河西走廊的主要尘源一般位于新疆北部，主要以古尔班通古特沙漠（源 A）为主；塔克拉玛干沙漠和其周围地区（源 B）；柴达木盆地（源 C）；以及巴丹吉林沙漠、腾格里沙漠、哈布其格沙漠、乌兰布和沙漠和毛乌素沙地及其周围地区（源 D）。尘埃的出现时间和 PM 的频率超过了每日浓度标准，表现出春季高、秋季低的显著特征。冬季 PM 浓度较高主要是由于供暖过程中的人为源。源区 D 对 PM 浓度的贡献最大（42%）。源区 B 是主要尘源之一（贡献率为 23%）；然而，该地区约 63%的尘埃来自于古尔班通古特沙漠。由于降水较多和植被覆盖率较高（贡献率为 22%），源区 A 对研究区的贡献较低。由于祁连山的阻挡，源区 C 对研究区的贡献最低（贡献率为 13%）。
