文章摘要
彭洁1,2, 李爱农1, 雷光斌1, 南 希1, 边金虎1, 赵 伟1.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,(3):10~15
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
  
DOI:10.13870/j.cnki.stbcxb.2017.03.002
中文关键词: 降雨侵蚀力  空间降尺度  TRMM  回归建模  巴基斯坦
英文关键词: rainfall erosivity  spatial downscaling  TRMM  regression modeling  Pakistan
基金项目: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)
作者单位
彭洁1,2, 李爱农1, 雷光斌1, 南 希1, 边金虎1, 赵 伟1 1. 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 6100412. 中国科学院大学北京 100049 
摘要点击次数: 1476
全文下载次数: 1921
中文摘要:
      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1 km。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)/(hm2·h·a),分布范围为0.58~ 5 929.85 (MJ·mm)/(hm2·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。
英文摘要:
      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 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-value of rainfall erosivity were mainly located in the vicinity of Islamabad, Mankera, Sialkot-Lahore-Sahiwal, and Karachi.
查看全文   查看/发表评论  下载PDF阅读器
关闭