| HUBEX强化观测期雷达测雨在水文过程模拟中的应用(英) |
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| 作者姓名： | REN Liliang LI Chunhong WANG Meirong |
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| 作者单位： | Department of Hydrology and Water Resources，Hohai University，Department of Hydrology and Water Resources，Hohai University，Department of Hydrology and Water Resources，Hohai University Nanjing，210098，Nanjing，210098，Nanjing，210098 |
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| 基金项目： | The research is jointly supported financially by the National Natural Science Foundation of China under Grant No. 40171016 and 49794030. |
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| 摘 要： | 选择全球能量与水循环亚洲季风试验区的淮河黄泥庄水文站控制的史河流域(805 km2)为研究区域,基于数字高程模型,生成栅格水流流向,构建数字流域及空间拓扑关系;然后,将阜阳雷达观测数据经过订正校准后作为研究区内每一栅格单元上的雨量输入,并在每一栅格上应用新安江模型构建产流模型;再根据每一栅格至流域出口断面-黄泥庄水文站的距离,运用Muskingum方法进行汇流演算,从而获得黄泥庄站的流量过程。计算结果显示,从1998年5月31日-8月3日的强化观测期内模型确定性系数为92.41％,其间4场洪水的确定性系数分别为85.64％、86.62％、92.57％和83.91％,高于应用地面雨量计观测的数据计算的结果。这说明雷达测雨数据具有较高的时空分辨率,当它应用于水文过程模拟时优于地面雨量计资料,基于栅格的水文模型为充分利用雷达数据提供了良好平台。
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| 关 键 词： | 数字高程模型 栅格 流域 雷达 水文过程 模拟 |
| 收稿时间： | 8 January 2002 |
Application of radar-measured rain data in hydrological processes modeling during the intensified observation period of HUBEX |
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| REN Liliang,LI Chunhong,WANG Meirong.Application of radar-measured rain data in hydrological processes modeling during the intensified observation period of HUBEX[J].Advances in Atmospheric Sciences,2003,20(2):205-211. |
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| Authors: | Ren Liliang Li Chunhong Wang Meirong |
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| Institution: | Department of Hydrology and Water Resources, Hohai University, Nanjing, 210098,Department of Hydrology and Water Resources, Hohai University, Nanjing, 210098,Department of Hydrology and Water Resources, Hohai University, Nanjing, 210098 |
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| Abstract: | On the basis of Digital Elevation Model data, the raster flow vectors, watershed delineation, and spatial topological relationship are generated by the Martz and Garbrecht method for the upper area of Huangnizhuang station in the Shihe Catchment with 805 km2 of area, an intensified observation field for the HUBEX/GAME Project. Then, the Xin'anjiang Model is applied for runoff production in each grid element where rain data measured by radar at Fuyang station is utilized as the input of the hydrological model. The elements are connected by flow vectors to the outlet of the drainage catchment where runoff is routed by the Muskingum method from each grid element to the outlet according to the length between each grid and the outlet. The Nash-Sutcliffe model efficiency coefficient is 92.41% from 31 May to 3 August 1998, and 85.64%, 86.62%, 92.57%, and 83.91%, respectively for the 1st, 2nd, 3rd, and 4th flood events during the whole computational period. As compared with the case where rain-gauge data are used in simulating the hourly hydrograph at Huangnizhuang station in the Shihe Catchment, the index of model efficiency improvement is positive, ranging from 27.56 % to 69.39 %. This justifies the claim that radar-measured data are superior to rain-gauge data as inputs to hydrological modeling. As a result, the grid-based hydrological model provides a good platform for runoff computation when radar-measured rain data with highly spatiotemporal resolution are taken as the input of the hydrological model. |
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| Keywords: | digital elevation model raster catchment radar hydrological processes modeling |
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