Original Articles

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

  • 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


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.

Cite this article

LI Xiuxia, LI Tianhong, NI Jinren . Analysis on Spatial Scaling Effects of Water Erosion in the Yellow River Basin[J]. PROGRESS IN GEOGRAPHY, 2008 , 27(6) : 49 -56 . DOI: 10.11820/dlkxjz.2008.06.007


[1] Kirkby M J, Imeson A C, Bergkamp G, et al. Scaling up processes and models from the field plot to the watershed and regional areas. Journal of Soil and Water Conservation, 1996, 51(5): 391~396.

[2] Valentin C, Boardman J, Favis -Mortlock D, et al. The GCTE soil erosion network. In: Jiao Juren, ed. Processing 12th ISCO Conference. Tsinghua University Press,Ⅱ, 2002, 299~305.

[3] Poesen J W, Boardman J, Wilcox B, et al. Water erosion monitoring and experimentation for global change studies. Journal of Soil and Water Conservation, 1996, 51(5): 386~ 390.

[4] Hans S, Sandra B. Scaling issues in watersheds assessments. Water Policy, 2001, 3: 475~489.

[5] 丘扬, 傅伯杰, 王勇. 土壤侵蚀时空变异及其与环境因 子的时空关系. 水土保持学报, 2002, 16(1): 108~111.

[6] Renschler C S, Harbor J. Soil erosion assessment tools from point to regional scales: The role of geomorphologists in land management research and implementation. Geomorphology, 2002, 47: 189~209.

[7] Cammeraat L H. A review of two strongly contrasting geomorphological systems within the context of scale. Earth Surface Processes and Landforms, 2002, 27: 1201~ 1222.

[8] Levin S A. The problem of pattern and scale in ecology. Ecology, 1992, 73: 1943~1967.

[9] Bob E. Soil erosion at multiple scales: principles and methods for assessing causes and impacts. Journal of Environmental Quality, 2000, 29(6): 2047~2048.

[10] 倪九派, 傅涛, 何丙辉等. 基于GIS 的丰都三合水土保 持生态园区土壤侵蚀危险性评价. 水土保持学报, 2002,16(1): 62~66.

[11] 倪九派, 魏朝富, 谢德体. 土壤侵蚀定量评价的空间尺 度效应. 生态学报, 2005, 25(8): 2061~2067.

[12] Ni J R, Li Y K. Approach to Soil Erosion Assessment in terms of Land -use Structure Changes. J. Soil water Conserv., 2003, 58: 158~169.

[13] 陆兆熊, 蔡强国. 黄土高原地区土壤侵蚀及土地管理研 究进展. 水土保持学报, 1992, 6(4): 86~95.

[14] 王飞, 李锐, 杨勤科等. 区域尺度地貌参数及其与水土 流失的关系. 人民黄河, 2007, 29(12): 69~73.

[15] 王建勋, 郑粉莉, 江忠善等. 基于WEPP 的黄土丘陵区 不同坡长条件下坡面土壤侵蚀预测. 北京林业大学学 报, 2008, 30(2): 151~156.

[16] 徐恒力, 陈植华. 土壤侵蚀的ETA 层次结构与空间尺度 效应. 地球科学—中国地质大学学报, 1995, 20(4): 459~ 464.

[17] 中华人民共和国水利部. 全国水土流失公告, 2002.

[18] 延安市水利水保局. 延安市延河流域水土保持综合治理 规划报告(1998-2002). 陕西延安: 延安市水利水保局, 1997, 1~23.

[19] 延安市水土保持工作队. 黄土高原水土保持基础资料汇 编(延安地区). 陕西延安: 延安市水土保持工作队, 2001, 1~65.

[20] 刘开文, 白生华, 李友儒等. 延安水系河谱. 陕西延安: 延安水系河谱编著委员会, 2000.

[21] 李英奎. 基于土地利用结构变化的土壤侵蚀动态评估方 法研究. 北京大学博士论文, 2001, 14~91.

[22] 李壁成. 小流域水土流失与综合治理遥感监测. 北京: 科学出版社, 1995.

[23] 武春龙, 江忠善, 郑世清. 安塞县纸坊沟流域土壤侵蚀 类型遥感制图. 水土保持通报, 1990, 10(4): 6~12.

[24] 景可, 卢金发, 梁季阳, 等. 黄河中游侵蚀环境特征和变 化趋势. 郑州: 黄河水利出版社, 1997.

[25] 汤国安, 杨昕. ArcGIS 地理信息系统空间分析实验教程. 北京: 科学出版社, 2006.

[26] 江中善, 李秀英. 黄土高原土壤流失预报方程中降雨侵 蚀力和地形因子的研究. 见: 中国科学院水利部西北水 土保持研究所集刊, 1988, 7: 40~50.

[27] 盛骤, 谢式千, 潘承毅. 概率论与数理统计(3 版). 北京: 高等教育出版社, 2004.

[28] Meyer W B,Turner BL.Change in land use and land cover: A global perspective (Ⅱ). London: Cambridge University Press, 1994.

[29] 檀满枝, 詹其厚, 陈杰. 基于信息熵原理的土壤PH 影响 因素空间相关性分析. 土壤, 2007, 39(6): 953~957.

[30] Wischmeier W H, Smith D D. Predicting Rainfall erosion Losses from Cropland East of the Rocky Mountains. In: Agric. Handbook 282, Washington DC: USDA, 1965, 47.