Application of PSO_BP Neural Network Model based on Influence Factor Correlation for Phreatic Water Depth Prediction

Xia Wei, Ni Wang, Fangxu Peng

2021

Abstract

The lack of groundwater level data will lead to untimely water resources management and control. Using groundwater phreatic depth influencing factors to predict the water level can provide a basis for the rational use of water resources. This paper took Xianyang city as the study area, used correlation analysis to identify the correlation between population, gross regional product, meteorological factors and phreatic water depth, established PSO_BP neural network model to predict the phreatic water depth in Xianyang city according to the correlation, and analyzed the prediction results and evaluates the applicability of the model. The results show that the relative error of the PSO_BP neural network prediction model does not exceed 2.5%, the minimum error is 1.65%, and has the same changing trend as the measured value, which indicates that the prediction model has high accuracy and good feasibility. The model can provide an effective prediction method for phreatic water depth of burial research and has good application prospects.

Paper Citation

in Harvard Style

Wei X., Wang N. and Peng F. (2021). Application of PSO_BP Neural Network Model based on Influence Factor Correlation for Phreatic Water Depth Prediction. In Proceedings of the 7th International Conference on Water Resource and Environment - Volume 1: WRE, ISBN 978-989-758-560-9, pages 369-376

in Bibtex Style

@conference{wre21,
author={Xia Wei and Ni Wang and Fangxu Peng},
title={Application of PSO_BP Neural Network Model based on Influence Factor Correlation for Phreatic Water Depth Prediction},
booktitle={Proceedings of the 7th International Conference on Water Resource and Environment - Volume 1: WRE,},
year={2021},
pages={369-376},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={978-989-758-560-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Water Resource and Environment - Volume 1: WRE,
TI - Application of PSO_BP Neural Network Model based on Influence Factor Correlation for Phreatic Water Depth Prediction
SN - 978-989-758-560-9
AU - Wei X.
AU - Wang N.
AU - Peng F.
PY - 2021
SP - 369
EP - 376
DO -