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
查看参考文献22篇
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文摘
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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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其他语种文摘
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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. |
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来源
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水土保持学报
,2017,31(3):10-15 【核心库】
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DOI
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10.13870/j.cnki.stbcxb.2017.03.002
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关键词
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降雨侵蚀力
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空间降尺度
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TRMM
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回归建模
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巴基斯坦
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地址
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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, 成都, 610041
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1009-2242 |
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学科
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农业基础科学 |
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基金
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中国科学院对外合作重点项目
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国家自然科学基金项目
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国家重点研发计划
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文献收藏号
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CSCD:6005945
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参考文献 共
22
共2页
|
|
1.
章文波. 降雨侵蚀力研究进展.
水土保持学报,2002,16(5):43-46
|
被引
46
次
|
|
|
|
|
2.
孙泉忠. 中国降雨侵蚀力R指标研究进展.
中国农学通报,2011,27(4):1-5
|
被引
25
次
|
|
|
|
|
3.
朱强. 基于TRMM的降雨侵蚀力计算方法.
中国科学:技术科学,2011,41(11):1483-1492
|
被引
17
次
|
|
|
|
|
4.
Fan J R. Characteristics of Rainfall Erosivity Based on Tropical Rainfall Measuring Mission Data in Tibet, China.
Journal of Mountain Science,2013,10(6):1008-1017
|
被引
4
次
|
|
|
|
|
5.
Ouma Y O. Multitemporal comparative analysis of TRMM-3B42satellite-estimated rainfall with surface gauge data at basin scales:daily, decadal and monthly evaluations.
International Journal of Remote Sensing,2012,33(24):7662-7684
|
被引
7
次
|
|
|
|
|
6.
沈彬. 塔里木河流域TRMM降水数据精度评估.
干旱区地理,2015,38(4):703-712
|
被引
12
次
|
|
|
|
|
7.
Qin Y X. Evaluation of satellite rainfall estimates over the Chinese mainland.
Remote Sensing,2014,6(11):11649-11672
|
被引
5
次
|
|
|
|
|
8.
张蒙. 卫星反演降水资料在青藏高原地区的适用性分析.
高原气象,2016,35(1):34-42
|
被引
17
次
|
|
|
|
|
9.
Vrieling A. Towards large-scale monitoring of soil erosion in Africa:Accounting for the dynamics of rainfall erosivity.
Global and Planetary Change,2014,115(4):33-43
|
被引
10
次
|
|
|
|
|
10.
Jia S F. A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China.
Remote Sensing of Environment,2011,115(12):3069-3079
|
被引
49
次
|
|
|
|
|
11.
李净. TRMM降水数据的空间降尺度方法研究.
地理科学,2015,35(9):1164-1169
|
被引
15
次
|
|
|
|
|
12.
Fang J. Spatial downscaling of TRMM precipitation data based on the orographical effect and meteorological conditions in a mountainous area.
Advances in Water Resources,2013,61(11):42-50
|
被引
12
次
|
|
|
|
|
13.
刘永和. 气象资料的统计降尺度方法综述.
地球科学进展,2011,26(8):837-847
|
被引
35
次
|
|
|
|
|
14.
Shah Z U H.
Land degradation in Pakistan: A serious threat to environments and economic sustainability,2016
|
被引
1
次
|
|
|
|
|
15.
Hussain M S. The regional and the seasonal variability of extreme precipitation trends in Pakistan.
Asia-Pacific Journal of Atmospheric Sciences,2013,49(4):421-441
|
被引
5
次
|
|
|
|
|
16.
姜晓剑. 逐日气象要素空间插值方法的比较.
应用生态学报,2010,21(3):624-630
|
被引
42
次
|
|
|
|
|
17.
Hussain M S. A classification of rainfall regions in Pakistan.
Journal of the Korean Geographical Society,2009,44(5):605-623
|
被引
1
次
|
|
|
|
|
18.
章文波. 中国降雨侵蚀力空间变化特征.
山地学报,2003,21(1):33-40
|
被引
91
次
|
|
|
|
|
19.
Yang F B. Spatiotemporal variation and trends in rainfall erosivity in China's dryland region during 1961- 2012.
Catena,2015,133(10):362-372
|
被引
5
次
|
|
|
|
|
20.
刘斌涛. 1960-2009年中国降雨侵蚀力的时空变化趋势.
地理研究,2013,32(2):245-256
|
被引
45
次
|
|
|
|
|
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