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Article

Hydrochemical Evolution of Groundwater in Dehui, China

by 1,2,3, 1,2,3, 1,2,3, 1,2,3 and 1,2,3,*
1
Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, Changchun 130021, China
2
National-Local Joint Engineering Laboratory of In-Situ Conversion, Drilling and Exploitation Technology for Oil Shale, Changchun 130021, China
3
College of New Energy and Environment, Jilin University, Changchun 130021, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(12), 3378; https://doi.org/10.3390/w12123378
Received: 22 October 2020 / Revised: 25 November 2020 / Accepted: 30 November 2020 / Published: 1 December 2020
(This article belongs to the Section Hydrology and Hydrogeology)
Although Dehui City has excellent agricultural conditions, long-term large-scale over-cultivation and human activities in recent years have caused significant changes in the local groundwater chemical characteristics. This study analyzes the causes, evolution, and prediction of groundwater chemistry via multi-disciplinary theoretical cross-cutting methods, such as groundwater ion composition-ratio analysis and groundwater influencing factor analysis, and artificial neural networks. The lithological characteristics of the groundwater aquifer were combined with ion composition-ratio mapping to explore the cause of groundwater chemistry composition in the study area. Piper three-line diagrams and Gibbs diagrams were used to analyze the evolution characteristics and influencing factors of groundwater chemistry in the study area. Based on these data, time series predictions were made for hydrochemical data. The results demonstrate that the chemical origins of groundwater in the study area are mainly background stratum and cation exchange, influenced by human activities. The main factors of groundwater chemical characteristics have changed from rock weathering to evaporation/precipitation in the past two decades. The hydrochemical characteristics changed from secondary alkalinity to secondary salinity. The predicted data from long short-term memory neural networks indicated that groundwater would continue salinization without the changes in the conditions, leading to land degradation in the study area. View Full-Text
Keywords: groundwater; hydrochemical evolution; long-term and short-term memory groundwater; hydrochemical evolution; long-term and short-term memory
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MDPI and ACS Style

Wei, H.; Liang, X.; Liu, S.; Liu, M.; Xiao, C. Hydrochemical Evolution of Groundwater in Dehui, China. Water 2020, 12, 3378. https://doi.org/10.3390/w12123378

AMA Style

Wei H, Liang X, Liu S, Liu M, Xiao C. Hydrochemical Evolution of Groundwater in Dehui, China. Water. 2020; 12(12):3378. https://doi.org/10.3390/w12123378

Chicago/Turabian Style

Wei, Hongyang; Liang, Xiujuan; Liu, Shuhui; Liu, Mingjun; Xiao, Changlai. 2020. "Hydrochemical Evolution of Groundwater in Dehui, China" Water 12, no. 12: 3378. https://doi.org/10.3390/w12123378

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