Spatiotemporal variations of dust emission in Qaidam basin during the past 40 years

IF 3.5 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Research in Cold and Arid Regions Pub Date : 2026-04-01 Epub Date: 2024-12-18 DOI:10.1016/j.rcar.2024.12.007
ShengFei Yang , HeQiang Du , YaWei Fan
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Abstract

The Qaidam Basin, situated on the Qinghai-Tibetan Plateau, ranks among the highest deserts in the world. Dust derived from this basin are carried to neighboring regions by atmospheric circulation, resulting in accelerated glacier melting, earlier onset and prolonged duration monsoon, and modification of atmospheric temperature structure, thereby influencing climate patterns. Therefore, it is crucial to understand the characteristics of dust emissions in the Qaidam Basin. However, previous studies have often relied on satellite remote sensing data or models that lack validations. Hence, we use a dust emission model validated with extensive measured data from the Qinghai-Tibetan Plateau to simulate the spatiotemporal distribution of dust emissions in the Qaidam Basin from 1982 to 2020. And, the Classification and Regression Trees (CART) machine learning method is used for multi-factor comprehensive analysis to identify the dominant factors affecting dust emissions and to determine the configuration of factors that have the most significant impact. We found that the dust emissions in the Qaidam Basin showed a slightly increasing trend over the past 40 years. The internal variability of dust emissions and external factors such as meteorological conditions and surface characteristics contributed to a notable increase in dust emissions during the early 2000s. Meanwhile, the annual cyclic variation in meteorological conditions is the reason for the higher dust emissions in spring and early summer and lower ones in the other seasons in this region. The spatial distribution of dust emissions exhibits significant variation with altitude, and in the piedmont alluvial fans that locate the transition zones between the mountains and the basins the dust emission rates generally higher than the other places. The surface soil moisture (SM) and the wind speed at 10-m height (WS) are the dominant factors influencing dust emission, and their mechanisms of affecting dust emission are different. SM plays a crucial role in the initial stage of dust lifting, while WS has a continuous and more significant influence throughout the entire dust emission process. Among the combinations of multiple influencing factors, the one where SM is less than or equal to 0.113 mm3/mm3, WS is greater than 5.159 m/s, and air temperature (AT) is greater than −12.488 °C is the most conducive to dust emission. We provide new insights into dust emission in the Qaidam region, offering directions for future research to focus on the different mechanisms of various influencing factors in the dust emission process, as well as on the changes in dust emissions under different configurations of multiple factors.
柴达木盆地近40年沙尘排放时空变化特征
柴达木盆地位于青藏高原上,是世界上海拔最高的沙漠之一。来自该盆地的沙尘被大气环流带到邻近地区,导致冰川加速融化,季风发生时间提前和持续时间延长,改变了大气温度结构,从而影响气候模式。因此,了解柴达木盆地扬尘排放特征至关重要。然而,以前的研究往往依赖于缺乏验证的卫星遥感数据或模型。基于此,本文采用经过青藏高原大量实测数据验证的沙尘排放模型,对柴达木盆地1982—2020年沙尘排放的时空分布进行了模拟。采用CART (Classification And Regression Trees)机器学习方法进行多因素综合分析,识别影响扬尘排放的主导因素,确定影响最显著因素的配置。结果表明,近40年柴达木盆地扬尘排放量呈小幅增加趋势。21世纪初,沙尘排放的内部变率和气象条件、地表特征等外部因素共同导致了沙尘排放的显著增加。同时,气象条件的年循环变化是该地区春季和初夏沙尘排放量较高,其他季节沙尘排放量较低的原因。沙尘排放的空间分布随海拔高度变化显著,位于山盆过渡带的山前冲积扇的沙尘排放率普遍高于其他地方。表层土壤湿度(SM)和10 m高度风速(WS)是影响沙尘排放的主导因子,其影响沙尘排放的机制不同。SM在扬尘的初始阶段起着至关重要的作用,而WS在整个扬尘过程中具有持续且更显著的影响。在多个影响因素的组合中,SM小于等于0.113 mm3/mm3、WS大于5.159 m/s、气温(AT)大于−12.488℃时最有利于扬尘排放。研究结果为柴达木地区扬尘排放提供了新的认识,为进一步研究扬尘排放过程中各种影响因素的不同作用机制,以及多因素不同配置下扬尘排放的变化提供了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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