Acta Geographica Sinica ›› 2014, Vol. 69 ›› Issue (1): 80-89.doi: 10.11821/dlxb201401008

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Simulation and analysis of vegetation interception at a large scale in the middle reaches of Yellow River

SONG Wenlong1,2, YANG Shengtian1, LU Jingxuan2, LIU Changming3, WANG Shudong4   

  1. 1. School of Geography, Beijing Normal University, State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China;
    2. China Institute of Water Resources and Hydropower Research, Beijing 100044, China;
    3. Key Laboratory of Land Water Cycle and Surface Process, CAS, at IGSNRR, Beijing 100101, China;
    4. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing 100101, China
  • Received:2013-10-05 Revised:2013-11-07 Online:2014-01-20 Published:2014-01-20
  • Contact: 杨胜天(1965-),男,博士,教授,博士生导师,主要从事水资源与水环境遥感研究。E-mail:yangshengtian@bnu.edu.cn E-mail:yangshengtian@bnu.edu.cn
  • Supported by:
    National Key Technologies R&D Program, No.2012BAB02B00; Special Fund from the China Institute of Water Resources and Hydropower Research; Public Welfare Foundation of the Ministry of Water Resources of China, No.200901022-01

Abstract: Quantitative simulation and analysis of vegetation canopy interception in a large scale is of great significance to reveal water-sediment changing mechanism under combined influences of climate change and human activities. Hekouzhen-Tongguan region in the middle reaches of the Yellow River was taken as the study area. Quantity of vegetation canopy interception in 1984, 1995 and 2010 were simulated by using models coupled with spatial data such as remote sensing data. The main data used in the study include precipitation data from weather stations and GLASS- LAI remote sensing data. Results show that vegetation coverage has increased since the 1980s, especially since the end of 1990s due to ecological restoration policy. And vegetation canopy interception has varied since the 1980s. The average yearly precipitation intercepted by canopy in 1984, 1995 and 2010 were 19.57 mm, 13.66 mm and 22.68 mm respectively, with the interception rate of 3.24%, 3.32% and 4.92% accordingly. It is found that vegetation canopy interception has been influenced by precipitation characteristics and vegetation synthetically in the study area, where precipitation plays a determinant factor. And LAI is the main factor affecting yearly vegetation interception variation since the 1980s.

Key words: leaf area index (LAI), remote sensing, the middle reaches of Yellow River, vegetation canopy interception, precipitation