Pengfei Li , Ziguan Wang , Guangcai Wang , Jie Cheng , Jiamin Xu
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引用次数: 0
Abstract
Gully erosion is a significant form of soil erosion and a major source of sediment in arid and semi-arid regions. Mining activities have severely exacerbated vegetation degradation and ground deformation in coalfields, potentially accelerating gully expansion. However, few studies have explored gully erosion susceptibility (GES) in coalfield areas. This study aims to investigate GES and its influencing environmental factors in the Wanli coalfield, China. Three hybrid models were established using Multi-Attributive Border Approximation area Comparison (MABAC), frequency ratio (FR), AdaBoost (AB), Extremely-Randomized Trees (ET), and Light Gradient Boosting Machine (LG). During the 2023 field survey, an Unmanned Aerial Vehicle (UAV) was used to create a digital ortho map (DOM) and a digital elevation model (DEM), from which 2,128 gullies were visually identified. A total of 14 environmental factors were utilized to generate the gully erosion susceptibility mapping (GESM), including six topographical factors, four hydrological factors, and four other factors. Three hybrid models—MABAC-FR-AB, MABAC-FR-ET, and MABAC-FR-LG—were selected to predict GES. Among these models, MABAC-FR-LG exhibited the best performance with an AUC of 0.996, followed by MABAC-FR-ET (AUC = 0.987) and MABAC-FR-AB (AUC = 0.976). Additionally, gully headcuts advancement rates (GHR) were calculated based on satellite imagery from 2012 and 2021 in 5 different GES areas to validate the accuracy of GESM. The GHR in very high GES area was 0.247 m yr−1, greater than those in high GES area (0.167 m yr−1), moderate GES area (0.141 m yr−1), low GES area (0.076 m yr−1), and very low GES area (0.036 m yr−1). Gullies with ground fissures exhibited higher GHR (0.213 m yr−1) than those without ground fissures (0.167 m yr−1). This study offers a novel perspective on preventing and controlling gully erosion in coalfields.
沟蚀是干旱半干旱区土壤侵蚀的重要形式,也是泥沙的主要来源。采矿活动严重加剧了煤田的植被退化和地面变形,可能加速沟扩展。然而,对煤田沟蚀敏感性的研究较少。本研究旨在探讨万历煤田GES及其影响环境因素。采用多属性边界近似面积比较(MABAC)、频率比(FR)、AdaBoost (AB)、极端随机树(ET)和光梯度增强机(LG)建立了3种混合模型。在2023年的野外调查中,使用无人机(UAV)创建了数字正射影图(DOM)和数字高程模型(DEM),从中可以直观地识别出2128个沟渠。利用14个环境因子,包括6个地形因子、4个水文因子和4个其他因子,生成了沟壑区侵蚀敏感性图(GESM)。选择mabac - fr - ab、MABAC-FR-ET和mabac - fr - lg三种混合模型预测GES。其中,MABAC-FR-LG表现最佳,AUC为0.996,其次是MABAC-FR-ET (AUC = 0.987)和MABAC-FR-AB (AUC = 0.976)。此外,基于2012年和2021年5个不同GES区域的卫星图像,计算了沟壑削头推进率(GHR),以验证GESM的准确性。高GES区GHR为0.247 m yr - 1,高于高GES区(0.167 m yr - 1)、中GES区(0.141 m yr - 1)、低GES区(0.076 m yr - 1)和极低GES区(0.036 m yr - 1)。有地裂缝沟沟的GHR (0.213 m yr - 1)高于无地裂缝沟沟(0.167 m yr - 1)。该研究为防治煤田沟蚀提供了新的思路。
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.