Research and Simulation of Flood Forecasting Model in Coastal Plain Area Based on Antecedent Precipitation Index Algorithm

DOI

10.2991/icammce-18.2018.80How to use a DOI?

Keywords

Flood forecasting model, Computational simulation, Antecedent precipitation index

Abstract

This paper presents a simulation model for flood warning and sluice dispatch in complex coastal plain water area. We propose an improved “semi-diurnal water production” Antecedent Precipitation Index (API) algorithm for computational modeling and simulation. By analyzing a large number of historical flood data and applying multiple curve fitting method, the quantitative function curve of the rainfall rainfall, runoff, and pre-rainfall index was established. The comparison between simulation data and historical data shows that the experimental results have high reliability, can effectively predict and warn the flood flow, and provide important data reference for the sluice scheduling in the area.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuqiong Wang
AU  - Jin Qu
PY  - 2018/05
DA  - 2018/05
TI  - Research and Simulation of Flood Forecasting Model in Coastal Plain Area Based on Antecedent Precipitation Index Algorithm
BT  - Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
PB  - Atlantis Press
SP  - 367
EP  - 370
SN  - 2352-5401
UR  - https://doi.org/10.2991/icammce-18.2018.80
DO  - 10.2991/icammce-18.2018.80
ID  - Wang2018/05
ER  -