无资料或少资料区河流流量监测与定量反演

A method estimating natural runoff in regions with none or less data

河流流量是流域水循环和水文计算的关键因素,受复杂地形、恶劣气候或经济、政治等因素的影响,无资料或少资料区水文站点的建设、维护和流量测量极为困难。为解决上述问题,将常见的河道过流断面概化为三角形断面和幂函数型断面两种形态,通过水力分析建立水面宽与流量函数关系的一般表达式,结合实时、高效、观测范围广和数据量大的遥测技术,提出了一种适用于无资料或少资料区的、水力学与遥感相耦合的径流反演方法,并基于模型实验和野外实测资料对提出的方法进行了校验。根据模型实验水面宽反演的56组流量,相对误差平均值为18.77%;其中,40组数据与实测流量的相对误差小于20%,占比为71.43%。根据野外实测水面宽反演的流量,相对误差平均值为20.71%;其中,64.66%的数据与实测流量的相对误差小于20%,86.03%的相对误差小于30%。本文提出的方法能够较为准确地反演河流流量,为无资料或少资料区径流的实时高效监测提供了一种解决方案。

Natural runoff is a key element for water cycle in river basin and hydrological calculation,Due to complex terrain,terrible weather,economic constraint or political effect,construction and management of hydrometric stations and discharge measurement is a rather tough thing in regions with none or less data.To solve this problem,river cross-section is initially classified as triangular-type and power-law-type, and then,according to hydraulic analysis,a regular formula associating water surface width and discharge has been deduced for both types.Combining remote sensing technique of real-time,efficient,large-scale and mass-data characteristics,a discharge estimating method for regions with none or less data has been presented.Further,it was tested with model experiment and field data.The results show that,for 56 groups of estimated discharge in experiments,the averaged relative error is 18.77%and the number that less than 20%is 40,whose ratio is 71.43%.For the estimated discharge according to field data,the averaged relative error is 20.71%.The ratio of relative error less than 20%is 64.66%,while that less than 30%is 86.03%.It indicates that the proposed method is an effective and accurate way to estimate natural runoff,providing a solution for discharge estimation in regions with none or less data.