论文部分内容阅读
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。
Based on the digital elevation model, the flow direction of the grid was established and the digital watershed and spatial topological relations were established. Secondly, The revised observation data of Fuyang radar is used as input of rainfall on each grid cell in the study area, and an output flow model is constructed on each grid by using Xin'anjiang model. According to each grid to the outlet section of the river basin - Huang Nizhuang station hydrological station distance, the use of Muskingum method confluence calculus, in order to get the Huangni Zhuang station flow process. The results show that the deterministic coefficient of the model during the enhanced observation period from May 31 to August 3, 1998 is 92.41%. The deterministic coefficients of the four floods are 85.64%, 86.62%, 92.57% and 83.91% , Higher than the result of the data calculated by observing the surface rain gauge. This shows that the radar data have high spatio-temporal resolution. When it is applied to hydrological process simulation, it is better than ground-based rain gauge data. The grid-based hydrological model provides a good platform for fully utilizing radar data.