基于ANN的西南地区小流域洪峰流量计算研究

Study on Flood Peak Flow Calculation of Small Watershed in Southwest China Based on ANN

本文建立了基于人工神经网络的西南地区小流域暴雨洪水洪峰流量计算模型,并选取了西南地区26个小流域38场实发洪水进行模型训练与检验,其中36场洪水为ANN模型训练数据,2场洪水为ANN模型检验数据,经模型训练与检测,本模型模拟效果好,预测精度高,具有一定实用价值,提出了小流域暴雨洪峰流量计算新思路。

Based on ANN, a flood peak flow calculation model for small watersheds in southwestern China was established.38 actual floods in 26 small watersheds in southwestern China were trained and tested by the model. Among them, 36 floods were the ANN model training data, and 2 floods were the ANN model test data.Through model training and testing, the model has good simulation results and high prediction accuracy.This model has certain practical value, and has opened up a new idea for calculating the flood peak flow in small watersheds.