Groundwater level dynamic simulation and soil salinization prediction of the closed hydrogeological unit in the arid irrigation area
Abstract Aiming at problems such as inaccurate simulation of groundwater level in closed hydrogeological units, difficult quantitative prediction of soil salinization degree, and unclear water and salt migration, a three-dimensional simulation model of groundwater was established, and the developmen...
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Published in: | Journal of hydroinformatics Vol. 25; no. 3; pp. 815 - 834 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
IWA Publishing
01-05-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | Abstract
Aiming at problems such as inaccurate simulation of groundwater level in closed hydrogeological units, difficult quantitative prediction of soil salinization degree, and unclear water and salt migration, a three-dimensional simulation model of groundwater was established, and the development trend of groundwater level and soil salinization was predicted. The groundwater level simulation results are consistent with the changing trend of the observational data and the simulation model can be used to predict groundwater levels in closed hydrogeological units. When climate scenarios and human activity change are set as future scenarios, the average groundwater buried depth will continue to decrease in the next 10 years, the area with a groundwater buried depth of 0–5 m will exceed 50%, and even the groundwater will overflow to the surface. The change of soil salt content is predicted quantitatively and the salinization degree will develop from ‘saline–alkali soil’ and ‘mild saline–alkali soil’ to ‘medium saline–alkali soil’. The process of water and salt migration in three key hydrologic zones, namely ‘irrigation infiltration’, ‘solute migration’, and ‘water and salt accumulation’, is revealed in the closed hydrogeological unit. The research results can provide new ideas for the improvement of soil and water environment problems. |
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ISSN: | 1464-7141 1465-1734 |
DOI: | 10.2166/hydro.2023.142 |