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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
Alternative TitleEstimation and Spatial Downscaling of Rainfall Erosivity Using TRMM Precipitation Data in Pakistan
彭洁1,2; 李爱农1; 雷光斌1; 南希1; 边金虎1; 赵伟1
Corresponding Author李爱农
2017
Source Publication水土保持学报
ISSN1009-2242
Volume31Issue:3Pages:10-15
Other Abstract

摘要:中巴经济走廊是一带一路建设的旗舰项目。降雨侵蚀力是反映区域资源环境承载能力的重要指标,开展境外高精度降雨侵蚀力遥感估算研究对中巴经济走廊建设具有重要意义。基于TRMM(Tropical Rainfall Measuring Mission)卫星3B42降雨数据估算了巴基斯坦的降雨侵蚀力,并结合气象、植被、地形等因子构建了空间降尺度模型,将降雨侵蚀力的空间分辨率提高到1km。结果表明:(1)空间降尺度模型模拟的降雨侵蚀力与TRMM 3B42降雨数据估算的降雨侵蚀力显著相关(R2=0.94),降雨侵蚀力的空间降尺度结果能更加详细地刻画巴基斯坦降雨侵蚀力的空间分布格局,尤其是地形起伏较剧烈的北部山区和俾路支东缘;(2)巴基斯坦境内2010年的年降雨侵蚀力平均值为524.15(MJ·mm)/(hm~2·h·a),分布范围为0.58~5 929.85(MJ·mm)/(hm~2·h·a),整体上呈现出东部高西部低的空间格局,且高值区主要分布在伊斯兰堡、门盖拉镇、锡亚尔科特-拉合尔-萨希瓦尔沿线,以及卡拉奇等城镇附近区域。

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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 2010was estimated with TRMM 3B42data,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 1km. 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 3B42data(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 2010varied from 0.58(MJ·mm)/(hm~2·h·a)to 5 929.85(MJ·mm)/(hm~2·h·a),and the average value was 524.15(MJ·mm)/(hm~2·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.

Keyword降雨侵蚀力 空间降尺度 回归建模 巴基斯坦
Subject AreaS157.1
DOI10.13870/j.cnki.stbcxb.2017.03.002
Indexed ByCSCD ; 北大中文核心
Language中文
CSCD IDCSCD:6005945
Funding Organization中国科学院对外合作重点项目(GJHZ201320) ; 国家自然科学基金项目(41631180) ; 国家重点研发计划(2016YFA0600103,2016YFC0500201-06)
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19034
Collection数字山地与遥感应用中心
Affiliation1.中国科学院水利部成都山地灾害与环境研究所数字山地与遥感应用中心
2.中国科学院大学
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
彭洁,李爱农,雷光斌,等. 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.
APA 彭洁,李爱农,雷光斌,南希,边金虎,&赵伟.(2017).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.水土保持学报,31(3),10-15.
MLA 彭洁,et al."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".水土保持学报 31.3(2017):10-15.
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