Acta Agrestia Sinica

›› 2011, Vol. 19 ›› Issue (3): 525-530.DOI: 10.11733/j.issn.1007-0435.2011.03.029

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Modeling Soil Moisture Based on GIS in Small Watershed of Loess Hilly Area

YAO Zhi-hong1,2, YANG Qing-ke1,3, WANG Chun-mei1, LI Rui1   

  1. 1. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi Province 712100, China;
    2. College of Resources and Environment, North China University of water Resources and Electric Power, Zhengzhou, Henan Province 450011, China;
    3. Department of Urban and Resource Sciences, Northwest University, Xi’an, Shaanxi Province 710069, China
  • Received:2010-04-17 Revised:2011-04-15 Online:2011-06-15 Published:2011-06-15

基于GIS的黄土丘陵区小流域土壤水分模拟

姚志宏1,2, 杨勤科1,3, 王春梅1, 李锐1   

  1. 1. 中国科学院水利部水土保持研究所, 陕西, 杨凌, 712100;
    2. 华北水利水电学院资源与环境学院, 河南, 郑州, 450011;
    3. 西北大学城市与资源学系, 陕西西安, 710069
  • 通讯作者: 杨勤科,E-mail:qkyang@ms.iswc.ac.cn
  • 作者简介:姚志宏(1970- ),女,安徽阜阳市人,博士,研究方向为基于GIS的区域水土流失定量评价,E-mail:yaozhih04@mails.gucas.ac.cn
  • 基金资助:
    国家973研究项目“中国主要水蚀区土壤侵蚀过程与调控研究”(2007CB407204)资助

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Abstract: The spatial and temporal variation of soil moisture content in small watersheds of Loess hilly area was studied at Sangta watershed.Data standardization was used for quantitative data processing based on in-situ monitoring and lab analysis.The regression equations for each month from May to October were determined by taking monthly soil water contents as dependent variable and topographic wetness index,standardized slope aspects coefficient,land use coefficient and relative elevation coefficient as independent variables.Results showed that the multiple correlation coefficient R of regression equation were all above 0.78,coefficient of determination R2 ranged from 0.65 to 0.72,they all reached significant level(P<0.01).This study is useful to estimate soil water contents for regional soil erosion modeling.

Key words: Loess hilly area, Small watershed, Soil moisture, Simulate

摘要： 为了探讨黄土丘陵区桑塔小流域土壤水分的时空变化规律,在对定性数据如土地利用、坡向、坡位标准化处理的基础上,通过野外定点观测和室内处理,运用多元回归分析的方法,对土壤水分与地形湿度指数、土地利用类型系数和坡向系数进行相关性分析,建立了小流域土壤水分模型。结果表明:土壤水分模拟方程的复相关系数均在0.78以上,决定系数均在0.65~0.72,F统计量的P值远小于0.01,回归效果显著,能够模拟小流域土壤水分的时空分布。

关键词: 黄土丘陵区, 小流域, 土壤水分, 模拟

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