Journal of Geographical Sciences ›› 2015, Vol. 25 ›› Issue (4): 437-450.doi: 10.1007/s11442-015-1179-6

• Orginal Article • Previous Articles     Next Articles

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

Xu ZHOU1,2(), Shengtian YANG1,*(), Xiaoyan LIU3, Changming LIU4,5, Changsen ZHAO1, Haigen ZHAO1, Qiuwen ZHOU1, Zhiwei WANG1   

  1. 1. State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing Key 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
  • Received:2014-05-30 Accepted:2014-09-08 Online:2015-04-15 Published:2015-04-15
  • Contact: Shengtian YANG;
  • About author:

    Author: Zhou Xu (1981-), Associate Professor, specialized in application of RS in water resources and eco-environment.

  • Supported by:
    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


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.

Key words: catchment slope property, slope control measure, changes, high-sediment region of the Loess Plateau