[1]高翔,蔡雄飞,王济,等.喀斯特小流域分布式土壤侵蚀估算模型[J].山地学报,2013,(05):542.
　GAO Xiang,CAI Xiongfei,WANG Ji,et al.Distributed Soil Erosion Estimation Model for Small Watershed in Karst Area[J].Mountain Research,2013,(05):542.
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喀斯特小流域分布式土壤侵蚀估算模型()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2013年05期
页码:
542
栏目:
山地研究
出版日期:
2013-01-01

文章信息/Info

Title:
Distributed Soil Erosion Estimation Model for Small Watershed in Karst Area
作者:
高翔;蔡雄飞;王济;胡国锋;
贵州师范大学地理与环境科学学院，贵州 贵阳 550001
Author(s):
GAO Xiang;  CAI Xiongfei;  WANG Ji;  HU Guofeng
1. School of Geographic and Environmental Sciences, Guizhou Normal University , Guiyang 550001,China
关键词:
土壤侵蚀模型; GIS; 小流域; 喀斯特山区
Keywords:
soil erosion model;  GIS;  small watershed;  karst mountainous area
分类号:
P931.5，X826
文献标志码:
A
摘要:
为了准确估算喀斯特小流域土壤侵蚀量,根据喀斯特山区小流域复杂地貌特征、径流与侵蚀产沙在垂直方向上的差异性,以栅格DEM为基础,建立了由水文模块和侵蚀模块组成的喀斯特小流域分布式土壤侵蚀模型。其中水文模块选取了改进的喀斯特流域SCS产流模型进行产流量计算,改进的喀斯特流域DHSVM汇流模型进行小裂隙渗流、大裂隙以及管道(地下暗河)流汇流计算。侵蚀模块考虑侵蚀产沙在垂直方向上侵蚀特征的差异性,在典型区域野外调查的基础上,设计室内模拟试验,并对试验数据进行多元线性回归、逐步回归和多元非线性回归分析,建立不同坡度条件下土壤侵蚀模数的多因子模型(非线性回归模型达到极显著或非常显著水平,0.692
Abstract:
In order to accurately estimate amount of soil erosion for small watershed in karst area, according to complex terrain, runoff, differences of soil erosion characteristic in vertical direction，and based on the grid DEM, a distributed soil erosion prediction model for small watershed in karst area is established. The model is composed of hydrological component and erosion component. In the hydrological component, the processes of rainfall and overland flow are taken into account, the implementation of runoff calculation is carried out on the basis of the improved SCS runoff model for small watershed, and the implementation of small crevasse, big crevasse, channel flow or underground river confluence calculation is carried out on the basis of the improved DHSVM model for small watershed in karst area. Based on geography trip, difference of soil erosion characteristic in vertical direction is taken into account in the erosion component, established soil erosion model by using Multiple Linear Regression, Stepwise Regression and Nonlinear Regression method(nonlinear regression models show extremely significant level, 0692

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备注/Memo

备注/Memo:
收稿日期(Received date)：2013-01-14；改回日期(Accepted) : 2013-02-28。
基金项目（Foundation item）：国家“十二五”科技支撑计划（2012BAD05B06）；贵州省优秀青年科技人才培养对象专项资金[黔科合人字(2011)14号]；贵州师范大学博士科研启动基金联合资助；2012年度贵州师范大学自然科学类学生科研重点项目。[Supported by National "Twelfth Five-Year" Plan for Science & Technology of China（Project NO. 2012BAD05B06）,the outstanding Young Scientists Special Fund Program of Guizhou Province (Guizhou S & T Talent Contract 2011-14).]
作者简介（Biography）：高翔（1987-），男，陕西大荔人，硕士研究生，研究方向：环境遥感与信息系统。[Gao Xiang(1987-),male,postgraduate,major in Environmental remote sensing and information system.]E-mail：604768994@qq.com *通信作者（Corresponding author）：王济（1975-），男，贵州贵阳人，博士，教授，研究方向：土壤侵蚀、土壤重金属污染及生态修复。[Wang Ji(1975-),male,doctor,professor,major in soil erosion,soil heavy metal pollution and ecological restoration.]E-mail:wangji@gznu.edu.cn
更新日期/Last Update: 1900-01-01