Investigation of Driving Factors for Dynamic Changes in Groundwater Levels Based on Path Analysis: A Case Study of the Heping Irrigation District

DOI

10.2991/978-94-6463-726-7_7How to use a DOI?

Keywords

Path analysis (PA); Groundwater dynamics; Principal Component Analysis (PCA); Inverse Distance Weighting; Heping irrigation district

Abstract

The study presents an integrated approach utilizing Path Analysis (PA) and Principal Component Analysis (PCA) to investigate the driving factors of groundwater level fluctuations in the Heping irrigation district, a region critical for agricultural productivity in Heilongjiang Province, China. Based on two years of monitoring experimental data, the impact of related variables, including precipitation, evaporation, and temperature, on groundwater dynamics was analyzed. PCA identified precipitation and evaporation as the predominant factors influencing groundwater levels, with temperature having a comparatively minor effect. PA further quantified these relationships, revealing that precipitation has the most significant direct impact on groundwater levels. The evaporation not only has a significant direct impact on the groundwater level, but it also exerts a considerable indirect influence through other factors, such as precipitation and temperature, with the indirect impact being relatively more pronounced. The novel method proposed in this study enhances understanding of the complex interactions between various factors and the groundwater system, providing valuable insights for sustainable water resource management in agricultural regions. The findings emphasize the necessity for integrated water management strategies that consider the interplay between precipitation, evaporation, and their impacts on groundwater resources.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Siming Li
AU  - Lu Chen
AU  - Binlin Yang
AU  - Bin Yi
AU  - Bai Wang
PY  - 2025
DA  - 2025/06/13
TI  - Investigation of Driving Factors for Dynamic Changes in Groundwater Levels Based on Path Analysis: A Case Study of the Heping Irrigation District
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 59
EP  - 81
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_7
DO  - 10.2991/978-94-6463-726-7_7
ID  - Li2025
ER  -