摘要
基于遥感卫星降雨数据和降雨侵蚀力本地优化方法,结合土地利用、土壤、地形等数据,利用中国土壤流失方程,对南京市2001—2020年土壤侵蚀情况进行遥感监测。归因分析表明,土地利用、植被覆盖度、降雨等均对南京市水土流失面积年际变化产生影响,其中降雨是首要驱动因素。研究成果为其他缺资料地区开展基于卫星降雨数据的降雨侵蚀力本地优化提供借鉴,为水土流失长时序监测评价提供了数据和技术支持。
Based on remote sensing satellite rainfall data and local optimization method of rainfall erosivity,combined with land use,soil,terrain and other data,the soil erosion in Nanjing from 2001 to 2020 was monitored by remote sensing using China’s soil loss equation.Attribution analysis shows that land use,vegetation coverage and rainfall all have an impact on the annual change of soil erosion area in Nanjing,of which rainfall is the primary driving factor.The research results provide reference for other regions lacking data to carry out local optimization of rainfall erosivity based on satellite rainfall data,and provide data and technical support for long-term sequence monitoring and evaluation of water and soil erosion.
作者
雷少华
徐春
韩丹妮
金秋
耿韧
LEI Shaohua;XU Chun;HAN Danni;JIN Qiu;GENG Ren(State Key Laboratory of Hydrology-Water Resource and Hydraulic Engineering,Nanjing Hydraulic Research Institute,Nanjing 210029,China)
出处
《江苏水利》
2023年第1期28-31,35,共5页
Jiangsu Water Resources
基金
南京水利科学研究院中央级公益性科研院所基本科研业务费专项资金项目(Y922001,Y921008,Y921005)
南京水务科技项目(202103)。
关键词
土壤侵蚀
降雨侵蚀力
遥感
长时序
南京市
soil erosion
rainfall erosivity
remote sensing
long time sequence
Nanjing City
