应用RUSLE模型的长汀县水土流失风险空间分析  

Spatial Analysis on Water and Soil Erosion Risk in Changting County Using RUSLE Model

作　　者：梁娟珠[1,2] 张青 傅水龙 LIANG Juanzhu;Zhang Qing;FU Shuilong(Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University, Fuzhou 350002, China;Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China)

机构地区：[1]福州大学空间数据挖掘和信息共享教育部重点实验室,福建福州350002 [2]福州大学福建省空间信息工程研究中心,福建福州350002

出　　处：《华侨大学学报（自然科学版）》2017年第6期836-841,共6页Journal of Huaqiao University(Natural Science)

基　　金：国家科技支撑计划项目(2013BAC08B00)

摘　　要：以修正的通用水土流失方程(RUSLE)为理论基础,以长汀县为研究区,利用地理信息系统(GIS)与遥感(RS)技术,在计算各影响因子的基础上估算水土流失,生成流失风险等级分布图.对水土流失的主要因素进行空间叠加分析,并将研究区水土流失风险综合评估结果与坡度、植被覆盖度及土地利用图层进行空间相关分析.结果表明:研究区水土流失中、高风险区分布仍较多,其中,河田、三洲、策武3乡镇形势最为严峻;水土流失风险呈现出一定的地域性特点,与植被覆盖度有严格的负相关关系,但与坡度并无严格的正相关关系.Based on revised universal soil loss equation(RUSLE)model,taking Changting County as the research area,geographic information system(GIS)and remote sensing(RS)technologies were used to estimate the soil and water erosion by calculating the influence factors,and the distribution map of the erosion risk was generated.The spatial overlap analysis of the main factors of soil and water erosion was carried out,and the spatial correlation analysis between the comprehensive evaluation results of soil and water erosion risk with the slope,vegetation coverage and land use layer was carried out.The results show that:there are more middle and high risk areas of water and soil erosion in the study area.Hetian,Sanzhou and Cewu three towns are the most serious situation.The risk of soil erosion has a bound regional characteristic,the risk of soil erosion and vegetation cover have strict negative correlation,but the risk of soil erosion and slope have not strict positive correlation.

关 键 词：水土流失 空间分析 修正的通用水土流失方程 长汀县 

分 类 号：S157.1[农业科学—土壤学] TP7[农业科学—农业基础科学]