[1]李新宇,唐海萍,张新时,等.基于多因子层次覆盖模型的潜在土壤侵蚀等级评价——以内蒙古林西县为例[J].水土保持研究,2007,14(04):154-159,167.
 LI Xin-yu,TANG Hai-ping,ZHANG Xin-shi,et al.Potential Soil Erosion Assessment Based on the USLE and Multi-factor Hierarchical Cover Model——A Case Study of Linxi County in Inner Mongolia[J].,2007,14(04):154-159,167.
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基于多因子层次覆盖模型的潜在土壤侵蚀等级评价——以内蒙古林西县为例()
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《水土保持研究》[ISSN:1005-3409/CN:61-1272/P]

卷:
14卷
期数:
2007年04期
页码:
154-159,167
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Potential Soil Erosion Assessment Based on the USLE and Multi-factor Hierarchical Cover Model——A Case Study of Linxi County in Inner Mongolia
作者:
李新宇12 唐海萍2 张新时23 孙林4
1. 北京市园林科学研究所, 北京, 100102;
2. 北京师范大学资源学院, 北京, 100875;
3. 中国科学院植物所, 北京, 100093;
4. 中国林业科学研究院, 森环森保所, 北京, 100091
Author(s):
LI Xin-yu12 TANG Hai-ping2 ZHANG Xin-shi23 SUN Lin4
1. Beijing Institute of Landscape Gardening, Beijing, 100102, China;
2. College of Resources Science and Technology, Beijing Normal University, Beijing, 100875, China;
3. Institute of Botany, CAS, Beijing, 100093, China;
4. Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, 100091, China
关键词:
土壤侵蚀USLEGIS多因子层次覆盖评价林西县
Keywords:
soil erosionUSLEGISmulti-factor hierarchical cover modelLinxi county
分类号:
S157.1
摘要:
以内蒙古林西县作为研究案例,采用降雨侵蚀力、主要地形体、土壤可蚀性、植被盖度及水土保持措施等参数,利用TM影像、DEM、土壤类型图、土地利用类型图等地理辅助数据与地面实测土壤理化性质及多年降水数据,在GIS与RS技术支持下,对5个单因子作用下研究区潜在水土流失风险进行评价.并基于多因子层次覆盖评价模型,对复合因子及多因子综合作用下研究区潜在水土流失状况进行评价.结果表明:地形、土壤与植被盖度3个因子对土壤侵蚀的贡献量较大,土地利用方式与降雨强度对土壤侵蚀的贡献量较小.5个因子综合作用的结果是:林西县有近77%的土地面积面临强度及强度以上水土流失的危险.其中轻度及微度水土流失面积占总土地面积的比例较小,二者共占总土地面积比例14.8%,主要分布在林西县西北部的中高山坡度较低地区;强度水土流失占22.8%,主要发生在北部的中山区及中部的河谷平川区;极强度水土流失占43.8%,主要发生在中部及南部低山丘陵区;剧烈水土流失面积占10.8%,集中分布在北部中山高坡区.
Abstract:
This study aimed at the evaluation of the hazard of soil erosion under single or compound factors at regional scale using a Geographic Information System(GIS) and remote sensing in Linxi county of Inner Mongolia.Precipitation,topographic,soil,and land use data were collected,processed,and constructed into a spatial database using GIS and remote sensing data.Areas that had suffered soil erosion and the contrabutions to soil erosion of single factor and compound-factor are analyzed and mapped using the Universal Soil Loss Equation(USLE) and Multi-factor Hierarchical Cover Model(MHCM).The results show that landform,soil and vegetation coverage strengthen the soil erosion risk,while precipitation and land use lessen the soil erosion risk.Nearly 77% of the land area might suffer severe soil erosion risk.Slight and light erosion area accounts for 14.8%,which mainly distributed in the low slope of northwest mid-mountain areas.Intensive erosion area accounts for 22.8%,primarily in the northern part of the mountain and the central valley.An area of extreme intensive erosion 43.8%,occurred mainly in the central and southern parts of the hilly area.Severe oil erosion area is 10.8%,concentrated in the northern mid-mountain slopes.

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备注/Memo

备注/Memo:
收稿日期:2007-4-2。
基金项目:国家重点基础研究发展规划资助项目(G2000018607);北京市园林局“北京市东灵山-百花山风景名胜区草甸景观变化的评价与恢复研究”
作者简介:李新宇(1979- ),女,博士,工程师,研究方向为生态区评价及恢复.
更新日期/Last Update: 1900-01-01