Comprehensive analysis of changes to catchment slope properties in the high-sediment region of the Loess Plateau, 1978-2010  

作　　者：ZHOU Xu YANG Shengtian LIU Xiaoyan LIU Changming ZHAO Changsen ZHAO Haige ZHOU Qiuwen WANG Zhiwei 

机构地区：[1]State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, BeijingKey Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China [2]School of Land and Resource, China West Normal University, Nanchong 637009, Sichuan, China [3]Yellow River Conservancy Commission, Zhengzhou 450003, China [4]College of Water Science, Beijing Normal University, Beijing 100875, China [5]Key Laboratory of Land Cycle and Surface Processes, CAS, IGSNRR, CAS, Beijing 100101, China

出　　处：《Journal of Geographical Sciences》2015年第4期437-450,共14页地理学报（英文版）

基　　金：National Key Technologies R&D Program,No.2012BAB02B00;Public Welfare Foundation of the Ministry of Water Resources,No.201101037;The Fundamental Research Funds for the Central Universities

摘　　要：To control soil erosion and restore the degraded environment in the Loess Plateau, a large number of measures related to soil and water conservation have been employed that have profoundly affected catchment properties. This study constructed three indicators to characterize changes to the catchment slope, proposed both a method for a regression analysis of adjacent images and a sequence model, and applied multisource remotely sensed images and GIS spatial clustering analysis technologies to extract thematic information and comprehensively analyze the catchment change characteristics. The results indicate that the catchment slope properties changed significantly. At catchment scale, the average values of ARC, DVC and ART were 6.43%, 25.57% and 4.30%, respectively. There were six clustering types of catchment slope property changes. The maximum and minimum of the average similarities of the clustering types were 0.992 and 0.935. Each slope control measures had a distinct effect on catchment slope; the dominating factor of each clustering type was identified as： Type 1： D-VC, Type 2： D-VCLU, Type 3： D-LUVC, Type 4： D-TAVC, Type 5： D-TAC and Type 6： D-MFC. Type 5 and Type 1 covered the largest areas, respectively occupying 37.28% and 31.01%. Catchment slope property changes also had distinct types that depended on their geomorphological conditions. These findings provide a useful basis from which to further study catchment slope hydrological and soil erosion processes.To control soil erosion and restore the degraded environment in the Loess Plateau, a large number of measures related to soil and water conservation have been employed that have profoundly affected catchment properties. This study constructed three indicators to characterize changes to the catchment slope, proposed both a method for a regression analysis of adjacent images and a sequence model, and applied multisource remotely sensed images and GIS spatial clustering analysis technologies to extract thematic information and comprehensively analyze the catchment change characteristics. The results indicate that the catchment slope properties changed significantly. At catchment scale, the average values of ARC, DVC and ART were 6.43%, 25.57% and 4.30%, respectively. There were six clustering types of catchment slope property changes. The maximum and minimum of the average similarities of the clustering types were 0.992 and 0.935. Each slope control measures had a distinct effect on catchment slope; the dominating factor of each clustering type was identified as： Type 1： D-VC, Type 2： D-VCLU, Type 3： D-LUVC, Type 4： D-TAVC, Type 5： D-TAC and Type 6： D-MFC. Type 5 and Type 1 covered the largest areas, respectively occupying 37.28% and 31.01%. Catchment slope property changes also had distinct types that depended on their geomorphological conditions. These findings provide a useful basis from which to further study catchment slope hydrological and soil erosion processes.

关 键 词：catchment slope property slope control measure CHANGES high-sediment region of the Loess Plateau 

分 类 号：S157[农业科学—土壤学] P333.2[农业科学—农业基础科学]