Open AccessAnalysis of Impact Factors for Flood Early Warning, a Case Study in Wangjiaba Basin of Huai River
Author(s) -
Youbing Hu,
Shenglin Xu,
Shan Liang,
Kai Wang,
Hongyu Chen,
Guangyuan Kan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/668/1/012040
Subject(s) - flood myth , environmental science , hydrology (agriculture) , watershed , flood forecasting , warning system , structural basin , 100 year flood , drainage basin , flood warning , upstream (networking) , water resource management , geography , geology , cartography , computer science , geotechnical engineering , telecommunications , paleontology , computer network , archaeology , machine learning
Wangjiaba station locates in the junction of the middle reach and upstream of the Huai River. Due to its specific location, the hydrological conditions of the Wangjiaba station can be treated as important indicators for flood forecasting and disaster controlling in the Huai River basin. In this study, 62 flood events, with peak flows exceed the warning water level of the Wangjiaba station over the past 60 years, are selected. On the basis of quantitatively analysis of the watershed status variables and flood forecasting input data, three easily available impact factors including rainfall, initial water level, and rainfall distribution were chosen as flood warning indexes in the Wangjiaba station. Analysis results show that rainfall is the most important factor for flood generation. After that, by introducing the initial water level as additional factor, the positive correlation between the peak flow and the impact factors becomes more significant. At last, with the addition of the rainfall distribution as one more factor, the peak flow forecasting accuracy can be further improved.