论文摘要
We used the particle swarm optimization algorithm to make comparisons between five two-parameter runoff models, two empirical models, LCM and SCS; and three physical models, GA, GAML and GAF, in calculating rainfall-runoff yield. The comparison results show that the qualified rate and coefficient of determination of the LCM, SCS, and GAF models were higher than 83% and 0.89, respectively. GA and GAML models can simulate the mean value of data; however, they performed poorly in describing the relationship between rainfall and runoff yield. The qualified rate and coefficient of determination of the GA and GAML models were lower than 50% and 0.50, respectively. In conclusion, LCM and SCS models can be used to calculate the runoff yield of small ungauged watersheds. Small watersheds with gauged data can use GAF model, which has high accuracy and physically meaningful parameters, to calculate runoff yield.
论文目录
文章来源
类型: 国际会议
作者: Kai-wen WANG,Xiao-hua YANG
来源: 2019 International Conference on Information Technology, Electrical and Electronic Engineering (ITEEE 2019) 2019-01-20
年度: 2019
分类: 基础科学,工程科技Ⅱ辑,信息科技
专业: 地球物理学,水利水电工程,自动化技术
单位: Key Laboratory of Water Cycle and related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,State Key Laboratory of Water Environment Simulation,School of Environment,Beijing Normal University
分类号: P333;TP18
DOI: 10.26914/c.cnkihy.2019.078465
页码: 267-271
总页数: 5
文件大小: 865k