Kou Pinglang, Xu Qiang, Jin Zhao, Tao Yuxiang, Yunus Ali P, Feng Jiangfan, Pu Chuanhao, Yuan Shuang, Xia Ying
Chongqing Engineering Research Center of Spatial Big Data Intelligent Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; Key Laboratory of Tourism Multisource Data Perception and Decision, Ministry of Culture and Tourism (TMDPD, MCT), Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan 610059, China.
Sci Total Environ. 2024 Mar 15;916:169873. doi: 10.1016/j.scitotenv.2024.169873. Epub 2024 Jan 8.
The fragile Loess Plateau of China suffers substantial gully erosion. It is imperative to elucidate gully erosion patterns for implementing effective erosion control strategies. However, high spatiotemporal resolution quantification of gully dynamics remains limited across the Loess Plateau landscape. We utilized the small baseline subset interferometric synthetic aperture radar (SBAS InSAR) technique to investigate the phenomenon of gully erosion and deposition on the Dongzhiyuan tableland, which sits within the vast expanse of the Loess Plateau in China, over the period spanning 2020-2022. The tableland edges subsided while gully bottoms uplifted due to sedimentation. Low elevations underwent active deformation. Slope, aspect, and curvature modulated uplift and subsidence patterns by affecting runoff and sediment transport. Gentle downstream slopes displayed enhanced sedimentation. Southern gullies showed pronounced uplift compared to northern gullies. Heavy rainfall triggered extensive erosion followed by rapid uplift, reflecting an adaptive oscillation between erosion and deposition. Basin hydrology correlated with spatial patterns of deformation. Vegetation cover above 60 % of the maximum substantially increased InSAR error. Our study reveals intricate spatiotemporal behaviors of erosion and deposition in loess gullies using time-series InSAR. The findings provide new insights into gully geomorphology and evolution, and our study quantifies gully erosion and deposition patterns at high spatiotemporal resolution, enabling identification of the most vulnerable areas and prioritization of conservation efforts.
中国脆弱的黄土高原遭受着严重的沟壑侵蚀。阐明沟壑侵蚀模式对于实施有效的侵蚀控制策略至关重要。然而,黄土高原地区沟壑动态的高时空分辨率量化仍然有限。我们利用小基线子集干涉合成孔径雷达(SBAS InSAR)技术,对位于中国广袤黄土高原地区的董志塬塬面上2020 - 2022年期间的沟壑侵蚀和沉积现象进行了研究。由于沉积作用,塬边下沉而沟底隆起。低海拔地区经历了活跃的变形。坡度、坡向和曲率通过影响径流和泥沙输移来调节隆起和沉降模式。下游平缓的斜坡显示出更强的沉积作用。与北部沟壑相比,南部沟壑隆起更为明显。强降雨引发了广泛的侵蚀,随后迅速隆起,反映出侵蚀和沉积之间的适应性振荡。流域水文与变形的空间格局相关。植被覆盖度超过最大值的60%会大幅增加InSAR误差。我们的研究利用时间序列InSAR揭示了黄土沟壑侵蚀和沉积的复杂时空行为。这些发现为沟壑地貌和演化提供了新的见解,并且我们的研究以高时空分辨率量化了沟壑侵蚀和沉积模式,能够识别最脆弱的区域并确定保护工作的优先次序。