评估排水量的三种不同模型:在越南洛河流域永都河段的应用

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL
Chien Pham Van, Giang Nguyen–Van
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引用次数: 1

摘要

本文提出了幂律评级曲线、一维横向分布法(1D-LDM)和门控循环网络(GRU)三种不同的模型,可用于评价河流断面长时间内水面高程时间序列的水量。在洛河流域(越南)的永图(Vinh Tuy)的河段被用来演示模型。使用(i) 2012年至2018年期间收集的每日观测排放值和(ii)用于定量评估估计水量与观测水量之间一致性的五个误差估计,仔细确定了适当的建模参数值。结果表明,3种模型均能较好地再现实测流量值,流量的均方根误差、平均绝对误差和平均误差仅为所研究截面流量监测最大值的5.5%左右,Nash-Sutcliffe效率和Pearson相关系数均大于0.89。利用该模型对研究断面1972 ~ 2011年的径流量进行了评价,结果表明,估算径流量的均值、标准差、协方差等统计指标与观测结果基本一致。在研究的三个模型中,GRU模型最终被证明是最好的模型,其结果甚至优于1D-LDM和幂律评级曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three different models to evaluate water discharge: An application to a river section at Vinh Tuy location in the Lo river basin, Vietnam

This study presents three different models, namely power-law rating curve, one-dimensional lateral distribution method (1D–LDM), and gated recurrent network (GRU) model that can be applied to evaluate water discharge from water surface elevation time-series in a river cross-section for a long time period. A river section at Vinh Tuy location on the Lo river basin (Vietnam) is used to demonstrate the models. Appropriate values of modelling parameters are carefully determined using (i) the daily observed discharge values collected in the period from 2012 to 2018 and (ii) five error estimates for quantitatively assessing the agreement between estimated and observed water discharges. The results showed that all three models reproduced very well the observed discharge values, with root mean square error and mean absolute error, as well as mean error of discharge, are only about 5.5% of the maximum value of discharge monitoring in the studied cross-section, while Nash–Sutcliffe efficiency and Pearson’s correlation coefficient are greater than 0.89. The models are then applied to evaluate discharge values in the studied cross-section for the period from 1972 to 2011, revealing that statistical indicators, i.e. mean value, standard derivation, and covariance of estimated water discharge, are consistent with those obtained from the observations. Among three investigated models, the GRU model was finally proved to be the best one, providing even better results than the 1D-LDM and power-law rating curve.

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来源期刊
Journal of Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
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