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作 者:张磊磊 康颖 岳青华 唐俊龙 徐郡璘 王家虎 郝振纯[3] ZHANG Leilei;KANG Ying;YUE Qinghua;TANG Junlong;XU Junlin;WANG Jiahu;HAO Zhenchun(Power China Huadong Engineering Corporation,Hangzhou 311122,China;Zhejiang Design Institute of Water Conservancy and Hydroelectric Power,Hangzhou 310002,China;College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China)
机构地区:[1]中国电建集团华东勘测设计研究院有限公司,浙江杭州311122 [2]浙江省水利水电勘测设计院,浙江杭州310002 [3]河海大学水文水资源学院,江苏南京210098
出 处:《人民黄河》2021年第3期29-33,共5页Yellow River
基 金:国家自然科学基金青年基金项目(41501039);中国电力建设股份有限公司科技项目(DJ-ZDZX-2016-02-03)。
摘 要:基于黄河源区17个气象站1998—2015年逐日降水量资料,分析多源卫星降水数据(TMPA、RT、CMORPH和PERSIANN)在该地区的适用性,并在此基础上评估TMPA数据在水文模拟应用中的潜力。结果表明:PERSIANN数据精度最低,其次为CMORPH和RT,TMPA数据精度最高,其中PERSIANN和RT数据在该地区存在高估降水量的问题。利用气象站插值降水量和唐乃亥水文站1998—2013年逐月径流资料对分布式水文模型(VIC模型)进行参数率定,在此基础上采用精度最高的TMPA数据驱动VIC模型,进一步验证了TMPA在黄河源区分布式水文模拟应用中具有较高潜力,TMPA模拟的径流过程与基于地面气象站插值降水量模拟的径流过程精度基本相当。The applicability of various remote sensing satellite precipitation data(TMPA,RT,CMORPH and PERSIANN)was estimated based on the daily precipitation data of 17 rainfall stations in the period of 1998-2015 for the source region of the Yellow River.The result shows that the data precision of TMPA is the highest,then is followed by CMORPH,RT and PERSIANN.Among the four datasets,PERSIANN and RT have a problem of overestimating precipitation in this area.Based on the measured rainfall and the observed streamflow of Tangnaihai Hydrometric Station from 1998 to 2013 and interpolated precipitation of weather station,the parameters of distributed hydrological model(VIC model)were determined.Then,the performance of the TMPA data was further verified.The result shows that TMPA has high potentiality for hydrological model.Based on the distributed hydrological model,the performance of the TMPA data is equivalent to that by using actual precipitation.
关 键 词:TMPA RT CMORPH PERSIANN 黄河源区
分 类 号:P339[天文地球—水文科学] TV882.1[水利工程—水文学及水资源]
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