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

发布时间：2018-08-22 07:07

【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(R~2=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。
[Abstract]:China-Pakistan Economic Corridor is the flagship project of Belt and Road construction. Rainfall erosivity is an important index to reflect the carrying capacity of regional resources and environment. It is of great significance to carry out remote sensing estimation of rainfall erosivity in China and Brazil. Based on the TRMM (Tropical Rainfall Measuring Mission) satellite 3B42 rainfall data, the rainfall erosivity of Pakistan is estimated, and the spatial downscaling model is constructed by combining meteorological, vegetation and topographic factors. The spatial resolution of rainfall erosivity is improved to 1 km. The results are as follows: (1) the rainfall erosivity simulated by the spatial downscaling model is significantly correlated with the rainfall erosivity estimated by TRMM 3B42 rainfall data (RG2O0.94), and the spatial downscaling results of rainfall erosivity can describe the rainfall erosivity in Pakistan in more detail. Spatial distribution pattern, (2) the average annual rainfall erosivity in Pakistan in 2010 is 524.15 (MJ mm) / (hm~2 h a), distribution range is 0.58 ~ 5 929.85 (MJ mm) / (hm~2 h a),) shows a low spatial pattern in the east and west, especially in the northern mountainous area and the eastern margin of Baloch. And the high value area is mainly distributed in Islamabad, Mengeira town, Sialcott-Lahore-Sahivar area, and Karachi and other towns around the area.
【作者单位】：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;中国科学院大学;
【基金】：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)
【分类号】：S157.1

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