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黄河流域水蚀区土壤侵蚀空间尺度效应分析

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  • 北京大学环境工程系,水沙科学教育部重点实验室, 北京100871
李秀霞(1979-),女,博士.主要从事水沙科学研究.E-mail: lixiuxia@iee.pku.edu.cn

收稿日期: 2008-04-01

  修回日期: 2008-09-01

  网络出版日期: 2008-11-25

基金资助

973 国家重点基础研究发展计划项目(2007CB407202).

Analysis on Spatial Scaling Effects of Water Erosion in the Yellow River Basin

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  • Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871, China

Received date: 2008-04-01

  Revised date: 2008-09-01

  Online published: 2008-11-25

摘要

以黄河、延河、杏子河、纸坊沟四级流域尺度为例,应用信息熵原理分析了各级流域尺度上土壤水力侵蚀与 其影响因子之间的空间相关性,通过比较各因子在不同空间尺度上与土壤侵蚀的相关性,定量分析了土壤侵蚀过 程的空间尺度效应。分析结果给出了降雨、地形、土质、植被等因子在不同流域尺度上对土壤侵蚀的影响大小,以及 每个尺度上各影响因子重要性的主次顺序。总体而言,随着流域空间尺度的增大,各因子对土壤侵蚀的影响具有放 大或缩小效应,影响因素的主次顺序随之易位,其中微观因子的控制作用有所减小,而宏观因子的控制作用则逐渐 突显。本文建立的流域土壤侵蚀空间尺度效应的定量分析方法和分析结果有助于解决当前土壤侵蚀评估模型普遍 存在的尺度转化和区域通用性问题。

本文引用格式

李秀霞,李天宏, 倪晋仁 . 黄河流域水蚀区土壤侵蚀空间尺度效应分析[J]. 地理科学进展, 2008 , 27(6) : 49 -56 . DOI: 10.11820/dlkxjz.2008.06.007

Abstract

The spatial similarity between water erosion and its influencing factors at different spatial scales is analyzed based on the information entropy theory. Four grades of river basins including the Yellow River basin, Yanhe basin, Xingzihe basin and Zhifanggou basin are taken as case studies. By comparing the spatial similarities between water erosion and a certain influencing factor on different grades of basins, the spatial scaling effects of soil erosion are quantitatively analyzed. The results provide different contributions of the indexes of precipitation, landform, soil type and vegetation to soil erosion at different spatial scales. And the order of the factors' importance to soil erosion at a certain spatial scale is also obtained. As a whole, with the basin scale enlarging, the control effects of micro-factors decrease, and the control effects of macrofactors increase simultaneously. The quantitative analysis method of soil erosion spatial scaling and the study results are significant in dealing with the problems of scale conversion and regional universality of soil erosion assessment models.

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