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| 基于遥感驱动分布式时变增益水文模型 | |
| 引用本文： | 叶爱中,段青云,曾红娟,李林,王彩云.基于遥感驱动分布式时变增益水文模型[J].资源与生态学报（英文版）,2010,1(3):230+222-229. |
| 作者姓名： | 叶爱中 段青云 曾红娟 李林 王彩云 |
| 作者单位： | 1. 北京师范大学全球变化与地球系统科学研究院,北京,100875 2. 北京师范大学地理学与遥感科学学院,北京,100875 3. 西藏气象局西藏高原大气环境科学研究所,拉萨,850000 |
| 基金项目： | National Basic Research Program of China(973 Program)(No.2010CB428402);Natural Science Key Foundation of China(No. 40730632) |
| 摘 要： | 提出了一个完全采用遥感数据驱动的分布式时变增益水文模型,该模型通过融雪、产汇流等水文过程计算,给出流量的雪盖、蒸散发、径流等水文要素。在拉萨河流域,该模型采用遥感USGS-SRTM的3秒DEM、遥感TRMM(The Tropical RainfallMeasuring Mission)降水、Modis-LST(Land Surface Temperature)数据,建立分布式水文模型,模拟了2001-2008年日水文过程。模拟结果效率系数接近0.7,相关系数接近0.8,水量平衡误差5%以内。说明完全依靠遥感驱动水文模型进行水文水资源模拟可行。该模型为解决高寒山区无资料或缺资料地区水文水资源问题提供了一个新方法。 |
| 关 键 词： | 遥感 分布式时变增益 水文模型 TRMM Modis-LST |
A Distributed Time-Variant Gain Hydrological Model Based on Remote Sensing |
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| YE Aizhong,DUAN Qingyun,ZENG Hongjuan,LI Lin,WANG Caiyun.A Distributed Time-Variant Gain Hydrological Model Based on Remote Sensing[J].Journal of Resources and Ecology,2010,1(3):230+222-229. | |
| Authors: | YE Aizhong DUAN Qingyun ZENG Hongjuan LI Lin WANG Caiyun |
| Institution: | 1 College of Global Change and Earth System Science,Beijing Normal University,Beijing 100875,China; 2 College of Geography,Beijing Normal University,Beijing 100875,China; 3 Tibet Institute of Plateau Atmospheric and Environmental Science Research,Lhasa 850001,China |
| Abstract: | A Distributed Time-Variant Gain Hydrological Model (DTVGM) based on remote sensing (RS) is proposed.The model contains several sub-models,such as snowmelt model,runoff model.It produces outputs including snow cover,evaporation,runoff,etc.All inputs for the model are derived from remote sensing data.Data from the Lhasa River basin is used in this study,including USGS-SRTM DEM,TRMM precipitation and Modis-LST.More than eight years (2001-2008) of daily hydrological data set was selected to calibrate the model.Based on the comparison of the observed and estimated runoff,the model's averaged efficiency of daily runoff simulation is over 0.6.The error of water balance was less than 5%.Distributed modeling results are quite satisfactory.This study provided a promising approach to resolve hydrology and water resources problems in ungauged or sparsely gauged basins. |
| Keywords: | remote sensing Distributed Time-Variant Gain Hydrological Model TRMM Modis-LST |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |