Cause Analysis and Prediction of the Groundwater Level in Jinghuiqu Irrigation District

HTML  XML Download Download as PDF (Size: 440KB)  PP. 85-89  
DOI: 10.4236/gep.2015.32014    4,636 Downloads   5,259 Views  Citations

ABSTRACT

Groundwater environment evolution can comprehensively reflect groundwater dynamics. Based on the relationship between the groundwater system and the external environment in Jinghuiqu irrigation district, adopting the Principal Component Analysis method, variation characteristics of environmental factors including climate and human activity and their impact on groundwater were systematically analyzed. The results show that groundwater level in Jinghuiqu irrigation district has been significantly dropped in nearly 34 years; the reduction of surface water irrigation use, which reduced the amounts of groundwater recharge and destroyed the water balance, is considered as the most direct cause for falling of regional groundwater level. Besides, reduction in precipitation, increase of evaporation also accelerated the declining of the groundwater level at some extent. Finally, a predicting method of groundwater depth based on BP neural network is developed. The experimental results show that the predicting model can reasonablely predict the groundwater level in Jinghuiqu irrigation district with a high precision.

Share and Cite:

Tao, W. , Zhang, J. and Wang, J. (2015) Cause Analysis and Prediction of the Groundwater Level in Jinghuiqu Irrigation District. Journal of Geoscience and Environment Protection, 3, 85-89. doi: 10.4236/gep.2015.32014.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.