摘要
以丹江口水库上游堵河流域为研究区,借助SAGA GIS和R平台,以ASTER GDEMV2为数据源,在获取流域土壤地形指数及其阈值设定的基础上,利用Python获取3种情景下(STI≥9、STI≥10和STI≥11)水文敏感区内不同土地利用类型及其面积和空间分布。结果表明:利用土壤地形指数识别,提供了更为详细表征的水文敏感区,可合理预测径流产生的空间分异性;3种情景下,林地均是水文敏感区内最主要的土地利用类型,约50%水体均位于水文敏感区;不同情景下,识别的水文敏感区内农业景观和开发景观应禁止开展高强度的土地开发,并优先布置植被缓冲带等保护措施以保护水质安全。
This study was conducted in the upstream watershed of Du River,central China,and ASTER GEDM was processed in the system for Automated Geoscientific Analyses(SAGA GIS)package in the R-platform.On the basis of obtaining watershed soil topographic index(STI)and its threshold setting,using Python module programming,three different scenarios(STI≥9,STI≥10,and STI≥11)were selected to delineate and understand the land use types and their areas and spatial distributions within hydrologically sensitive area(HSAs)in the watershed.The results showed that STI technique improved the identification of HSAs,which could reasonably predict the spatial differentiation of runoff in the watershed.Forest land was the major land use in the HSAs under all three scenarios,and about 50% of water was identified as HSAs.Under the three scenarios,the agricultural landscape and development landscape in the HSAs should be prohibited from carrying out intensive land development,and should arrange in priority vegetation buffer zones to protect water quality.
作者
郭忠录
艾蕾
黄旭东
邱泽元
蔡崇法
GUO Zhonglu;AI Lei;HUANG Xudong;QIU Zeyuan;CAI Chongfa(Soil and Water Conservation Research Center, Huazhong Agricultural University, Wuhan 430070;New Jersey Institute of Technology, Newark NJ 07102)
出处
《水土保持学报》
CSCD
北大核心
2017年第6期100-103,236,共5页
Journal of Soil and Water Conservation
基金
国家自然科学基金项目(41671273)
关键词
土壤地形指数
水文敏感区
可变源区水文
空间分布
堵河上游流域
soil topographic index
hydrologically sensitive area
variable source area of hydrology
spatial distribution
upstream watershed of Du River