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

作者:Zhou, X (Zhou Xu)[ 1,2 ] ; Yang, ST (Yang Shengtian)[ 1 ] ; Liu, XY (Liu Xiaoyan)[ 3 ] ; Liu, CM (Liu Changming)[ 4,5 ] ; Zhao, CS (Zhao Changsen)[ 1 ] ; Zhao, HG (Zhao Haigen)[ 1 ] ; Zhou, QW (Zhou Qiuwen)[ 1 ] ; Wang, ZW (Wang Zhiwei)[ 1 ]

JOURNAL OF GEOGRAPHICAL SCIENCES

卷: 25  期: 4  页: 437-450

DOI: 10.1007/s11442-015-1179-6

出版年: AUG 2015

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.

通讯作者地址: Yang, ST (通讯作者)

Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing Key Lab Remote Sensing Environm & Digital, Beijing 100875, Peoples R China.

地址:

[ 1 ] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing Key Lab Remote Sensing Environm & Digital, Beijing 100875, Peoples R China

[ 2 ] China West Normal Univ, Sch Land & Resource, Nanchong 637009, Sichuan, Peoples R China

[ 3 ] Yellow River Conservancy Commiss, Zhengzhou 450003, Peoples R China

[ 4 ] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China

[ 5 ] Chinese Acad Sci, IGSNRR, Key Lab Land Cycle & Surface Proc, Beijing 100101, Peoples R China