水土保持学报2017，Vol.31Issue(3)：10-15,6.DOI:10.13870/j.cnki.stbcxb.2017.03.002
基于TRMM数据的巴基斯坦降雨侵蚀力估算及空间降尺度模拟
Estimation and Spatial Downscaling of Rainfall Erosivity Using TRMM Precipitation Data in Pakistan
摘要
Abstract
The China-Pakistan Economic Corridor is the flagship project of the Belt and Road Initiative.Rainfall erosivity is an important indicator to evaluate the carrying capacity of regional resources and environment.Estimation of the overseas high spatial resolution rainfall erosivity is significant to the construction of the China-Pakistan Economic Corridor.In this paper,rainfall erosivity of Pakistan in 2010 was estimated with TRMM 3B42 data,and a spatial downscaling algorithm based on the relationships between rainfall erosivity and relevant environmental factors such as meteorology,topography and vegetation was proposed.By applying the spatial downscaling algorithm,the spatial resolution of rainfall erosivity was improved to 1 km.The results were as follows:(1) The rainfall erosivity simulated by the spatial downscaling algorithm displayed a significant correlation with the rainfall erosivity estimated from TRMM 3B42 data (R2 =0.94),suggesting that the simulated rainfall erosivity by spatial downscaling algorithm could reflect the spatial distribution of rainfall erosivity effectively,especially in the northern mountains and east edge of the Baluchistan Plateau.(2) The rainfall erosivity of Pakistan in 2010 varied from 0.58 (MJ · mm)/(hm2 · h · a) to 5 929.85 (MJ · mm)/(hm2 · h · a),and the average value was 524.15 (MJ · mm)/(hm2 · h · a).The spatial distribution of rainfall erosivity was high in the east and low in the west,and the areas with high values of rainfall erosivity were mainly located in the vicinity of Islamabad,Mankera,Sialkot-Lahore-Sahiwal and Karachi.关键词
降雨侵蚀力/空间降尺度/TRMM/回归建模/巴基斯坦Key words
rainfall erosivity/spatial downscaling/TRMM/regression modeling/Pakistan分类
农业科技引用本文复制引用
彭洁,李爱农,雷光斌,南希,边金虎,赵伟..基于TRMM数据的巴基斯坦降雨侵蚀力估算及空间降尺度模拟[J].水土保持学报,2017,31(3):10-15,6.基金项目
中国科学院对外合作重点项目(GJHZ201320) （GJHZ201320）
国家自然科学基金项目(41631180) （41631180）
国家重点研发计划(2016YFA0600103,2016YFC0500201-06) （2016YFA0600103,2016YFC0500201-06）
