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Global assessment of wind erosion based on a spatially distributed RWEQ model
Progress in Physical Geography: Earth and Environment ( IF 3.9 ) Pub Date : 2021-07-14 , DOI: 10.1177/03091333211030608
Guocheng Yang 1 , Ranhao Sun 1 , Yongcai Jing 1 , Muqi Xiong 2 , Jialei Li 1 , Liding Chen 1
Affiliation  

Wind erosion is a global environmental problem and affects the sustainable use of land soil. The current efforts in wind erosion modeling mainly focus on local scales, yet very few studies have attempted to quantify the soil losses by wind on a large scale. Here, we proposed a distributed version of the revised wind erosion equation model (DRWEQ) to assess the spatial and temporal variations of wind erosion globally. The DRWEQ model used meteorological, soil, topographic, and remote sensing data to simulate global wind erosion from 2001 to 2010. The results showed that (a) the areas of wind erosion in Africa and Asia accounted for approximately 62% of the global wind erosion area but accounted for 91% of the global total soil loss; (b) global wind erosion showed a decreasing tendency during the research period – the wind erosion with a trend of intensification occupied 40.62% of the global wind erosion area while about 59.38% of the global wind erosion area showed a weakening trend; and (c) the monthly dynamics of the wind erosion were closely correlated with the combined effects of weather factors and vegetation coverage. The soil loss rates were lower in summer and reached the peak from January to April. The method presented in this study was developed based on the tradeoff of accuracy and availability of global data, and has the potential for predicting wind erosion from regional to global scales.



中文翻译:

基于空间分布的 RWEQ 模型的风蚀全球评估

风蚀是一个全球性的环境问题,影响着土地土壤的可持续利用。目前在风蚀建模方面的努力主要集中在局部尺度上,但很少有研究试图在大尺度上量化风造成的土壤流失。在这里,我们提出了一个分布式版本的修订风蚀方程模型(DRWEQ)来评估全球风蚀的时空变化。DRWEQ 模型利用气象、土壤、地形和遥感数据模拟了 2001 年至 2010 年的全球风蚀。结果表明:(a) 非洲和亚洲的风蚀面积约占全球风蚀的 62%面积但占全球土壤流失总量的 91%;(b) 研究期间全球风蚀呈减少趋势——呈加剧趋势的风蚀占全球风蚀面积的40.62%,而全球风蚀面积的约59.38%呈减弱趋势;(c) 风蚀的每月动态与天气因素和植被覆盖度的综合影响密切相关。夏季土壤流失率较低,1-4月达到高峰。本研究中提出的方法是基于全球数据的准确性和可用性的权衡而开发的,具有预测从区域到全球尺度的风蚀的潜力。(c) 风蚀的每月动态与天气因素和植被覆盖度的综合影响密切相关。夏季土壤流失率较低,1-4月达到高峰。本研究中提出的方法是基于全球数据的准确性和可用性的权衡而开发的,具有预测从区域到全球尺度的风蚀的潜力。(c) 风蚀的每月动态与天气因素和植被覆盖度的综合影响密切相关。夏季土壤流失率较低,1-4月达到高峰。本研究中提出的方法是基于全球数据的准确性和可用性的权衡而开发的,具有预测从区域到全球尺度的风蚀的潜力。

更新日期:2021-07-14
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