利用天气雷达观测资料预报小流域流量

A new technique to predict small scale basin discharges using weather radar observations

  • 摘要: 将天气雷达降水临近预报与半分布式水文模型TOPMODEL(TOPography based hydrological MODEL)相结合,研究了降水临近预报延伸小流域流量预报预见期的可行性。研究流域为淠河(安徽省内)上游的佛子岭流域(1813 km2)内划分出的6个上游源头小流域(约60—100 km2 )。用雷达估测的降水得到的流量输出作为参考,与1 h降水临近预报得到的流量输出进行比较。结果表明:定量降水临近预报准确率是延伸小流域流量预报预见期的关键;基于所研究的个例,定量降水临近可以延长小流域流量预报预见期平均约0.7 h左右,但其延长程度还受到具体降水过程、流域属性等的影响

     

    Abstract: The feasibility of extending the lead time with which small basin discharges can be forecasted is investigated through the combined use of the radar quantitative precipitation nowcast (QPN) and the semi distributed hydrologic modeling TOPMODEL (TOPography based hydrological MODEL). The study area includes the six small headwater basins (about 60-100 km2) subdivided from Foziling basin (1813 km2) in the upper reaches of the Pihe river located in Anhui Province (east China). Discharges for the events computed using radar estimates directly are assumed to be the references against which discharges driven by the nowcast precipitation fields are compared. It manifested that the accuracy of QPN is especially critical in extending the lead time for the prediction of small basin discharges; QPN of high accuracy can extend the lead time to about 0.7 hours for the cases chosen in this study, and the extended lead time varies with specific rainfall processes and the hydrological characteristics of each basin.

     

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