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全过程联合校正的洪水预报修正方法
引用本文:梁忠民,黄一昕,胡义明,李彬权,王 军. 全过程联合校正的洪水预报修正方法[J]. 南水北调与水利科技(中英文), 2020, 18(1): 1-7
作者姓名:梁忠民  黄一昕  胡义明  李彬权  王 军
作者单位:( 河海大学 水文水资源学院, 南京 210098)
基金项目:国家重点研发计划( 2016YFC0402709) ; 国家自然科学基金( 41730750)
摘    要:洪水实时校正是洪水预报的重要组成内容,也是水文预报研究的热点与难点。为进一步提高洪水预报精度,提出了一种全过程联合校正的洪水预报修正方法。该方法的主旨是在雨量站数目较多的流域,构建雨量站网密度与洪水预报误差分配比例之间的定量关系;对雨量站数目较少的流域,借用该比例关系,将洪水预报总误差按比例划分为面雨量输入误差和模型误差两部分;再基于系统响应理论,对研究流域的这两部分误差进行修正,从而实现输入误差与模型误差的全过程联合校正。在淮河三个典型流域的应用结果表明,相较于目前单变量的系统响应曲线修正方法,全过程联合校正方法可进一步提升误差修正效果,提高洪水预报精度。

关 键 词:洪水预报   实时校正   误差修正   系统响应   面雨量   模型参数   新安江模型

The entire-process correction approach for flood forecasting
LIANG Zhongmin,HUANG Yixin,HU Yiming,LI Binquan,WANG Jun. The entire-process correction approach for flood forecasting[J]. South-to-North Water Transfers and Water Science & Technology, 2020, 18(1): 1-7
Authors:LIANG Zhongmin  HUANG Yixin  HU Yiming  LI Binquan  WANG Jun
Affiliation:(College of Hydrology and Water Resources, Hohai University , Nanjing 210098, China)
Abstract:Real-t ime co rr ection is an important compo nent of floo d fo recast ing , and also a hot and diff icult to pic in hydrolog ical forecasting resea rch. Fo r this purpose, an ent ire2pro cess correctio n approach was pro po sed to improv e the accuracy of r eal2time floo d fo recasting. Firstly, w e to ok a basin w ith plentiful r ain g auges. Based on rainfall data of that basin, the relationship be2 tw een the density o f r ain g aug es and the rat io of flo od for ecast ing erro r was established. T hen, fo r the basin w ith a small number rain gaug es, ratio of the real2t ime floo d fo recast ing err or int o areal rainfall err or and mo del erro r w as used to calculate the err or of the flo od fo recast ing . Finally, based o n system r esponse theo ry, the tw o for ecasting erro rs w ere simultaneo usly corrected as to realize the entir e2process correctio n of model input and model structur e. The application results in thr ee ty pical basins o f H ua ihe River showed that the entire2process co rr ect ion appr oach co uld improv e the effect of erro r correctio n and the accur acy of flo od forecasting compar ed to the curr ent sing le2v ariable dy namic sy stem r esponse cur ve method.
Keywords:flood forecasting   real-time correction   error correction   system response   areal rainfall   model parameters   XAJ model
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