Topical Collection: Groundwater recharge and discharge in arid and semi-arid areas of China

Wang, Wenke; Zhang, Zaiyong; Yin, Lihe; Duan, Lei; Jinting, Huang

doi:10.1007/s10040-021-02308-0

Cited by 16 publications

(7 citation statements)

References 19 publications

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“…In general, the exploitable amount of groundwater is assumed to be constant in different level years for the sake of simplicity in water resource allocation models because of the large storage capacity and the multi-year regulation of the aquifer (Li et al, 2006;Xiang et al, 2016;Yang et al, 2016). However, this assumption may not be valid in real-world scenarios because surface water and groundwater interact dynamically (Frey et al, 2021), and the exploitable amount of groundwater varies substantially with many factors such as the underlying surface conditions and water resource utilization practices (Shekhar and Pandey 2015;Wang et al, 2021). In arid regions where there is limited natural recharge and groundwater is recharged mainly by surface water (Wu et al, 2021;Zhang et al, 2021), water resource utilization patterns may have greater impacts on the exploitable amount of groundwater (Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…However, this assumption may not be valid in real-world scenarios because surface water and groundwater interact dynamically (Frey et al, 2021), and the exploitable amount of groundwater varies substantially with many factors such as the underlying surface conditions and water resource utilization practices (Shekhar and Pandey 2015;Wang et al, 2021). In arid regions where there is limited natural recharge and groundwater is recharged mainly by surface water (Wu et al, 2021;Zhang et al, 2021), water resource utilization patterns may have greater impacts on the exploitable amount of groundwater (Wang et al, 2021). For instance, groundwater recharge can be affected by changes in irrigation practices (e.g., implementation of water-saving irrigation), ecological water replenishment of rivers and lakes, reconstruction of water supply and drainage networks, maintenance and reinforcement of canal systems, etc.…”

Section: Introductionmentioning

confidence: 99%

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Development of a water resource allocation model based on the dynamic exploitable amount of groundwater and its application in the Jinghe County, Xinjiang

Wang

et al. 2022

Front. Environ. Sci.

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An exploitable amount of groundwater in arid regions is related to changes in water resource utilization patterns, and the traditional water resource allocation model assumes a constant exploitable amount of groundwater. In this study, a water resource allocation model consisting of a water resource optimal allocation module, an exploitable amount analysis module, and a mutual feedback iterative module connecting the abovementioned two modules is established based on the dynamic exploitable amount of groundwater. The proposed model is applied to Jinghe County, Xinjiang, which is one of the most arid regions in the world. The results show that the actual exploitable amount of groundwater in 2035 will be 181.54 million m³ when changes in the exploitable amount of groundwater in response to changes in the water resources utilization patterns are considered, which is 43.99 million m³ lower than the current amount, and the groundwater supply will be 167.82 million m³. However, the groundwater supply based on the current exploitable amount of groundwater (225.53 million m3) will be 188.29 million m3, which is 6.75 million m3 higher than the actual exploitable amount of groundwater and thus may lead to groundwater overdraft. This is mainly attributed to the reduction in the exploitable amount of groundwater with the reduction in farmland, and it is estimated that the exploitable amount of groundwater would be decreased by about 110,000 m3 with the reduction of 1 km2 farmland. The results of this study underline the need to consider changes in the exploitable amount of groundwater in the allocation and management of water resources in arid regions, and the model developed in this study can provide an effective tool for rational allocation of water resources in arid regions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a water resource allocation model based on the dynamic exploitable amount of groundwater and its application in the Jinghe County, Xinjiang

Wang

et al. 2022

Front. Environ. Sci.

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“…With the economic development in recent years, the problems of groundwater pollution and over-exploitation have become more significant. As an important component of water resources, groundwater plays an irreplaceable role in social development, especially in arid and semi-arid regions [ 2 ]. The quality of groundwater directly affects the living standard of residents and agricultural development [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting Groundwater Indicator Concentration Based on Long Short-Term Memory Neural Network: A Case Study

Liu

et al. 2022

IJERPH

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Prediction of groundwater quality is an essential step for sustainable utilization of water resources. Most of the related research in the study area focuses on water distribution and rational utilization of resources but lacks results on groundwater quality prediction. Therefore, this paper introduces a prediction model of groundwater quality based on a long short-term memory (LSTM) neural network. Based on groundwater monitoring data from October 2000 to October 2014, five indicators were screened as research objects: TDS, fluoride, nitrate, phosphate, and metasilicate. Considering the seasonality of water quality time series data, the LSTM neural network model was used to predict the groundwater index concentrations in the dry and rainy periods. The results suggest the model has high accuracy and can be used to predict groundwater quality. The mean absolute errors (MAEs) of these parameters are, respectively, 0.21, 0.20, 0.17, 0.17, and 0.20. The root mean square errors (RMSEs) are 0.31, 0.29, 0.28, 0.27, and 0.31, respectively. People can be given early warnings and take measures according to the forecast situation. It provides a reference for groundwater management and sustainable utilization in the study area in the future and also provides a new idea for coastal cities with similar hydrogeological conditions.

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“…Because of the wide distribution and easy accessibility, groundwater resources have become the dominant and even only water resource supplying human society development (Gu et al, 2018;Adimalla et al, 2020;Vaiphei et al, 2020;Rahimi-Feyzabad et al, 2021). This is more significant in arid and semiarid regions due to the scarcity of surface water and precipitation (Hao et al, 2018;Xiao et al, 2018;Wang Q. et al, 2020;Herrera et al, 2021;Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Accessible Phreatic Groundwater Resources in the Central Shijiazhuang of North China Plain: Perspective From the Hydrogeochemical Constraints

Xiao

Hao

et al. 2021

Front. Environ. Sci.

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Phreatic groundwater plays a significant role in the water supply for human communities, especially in water scarce regions. This research was conducted to investigate the hydrochemistry and contamination of phreatic groundwater and their constraints on drinking water supply in a semiarid region of the North China Plain. A total of 49 phreatic groundwaters were collected for the hydrochemical analysis. The results suggested the phreatic groundwater had a slightly alkaline nature. Although the groundwater had a large variation of salinity with the TDS of 172–1,875 mg/l, most groundwater was moderately-hard fresh and of HCO3-Ca type. Contaminants of NO3−, NO2−, NH4+, Fe, F−, Zn, Mn were detected, but only NO3−, NO2−, NH4+, and Fe were found exceeding the drinking water desirable limits at some sites. The nitrogen contaminants were from anthropogenic inputs (urban sewage effluents and agricultural fertilizers) and mainly distributed in the central study area. The anthropogenic inputs of nitrogen contaminants also elevated groundwater salinity. Among the exceeding contaminants, only NO3− would pose a potential health risk to water consumers. The existing health risks by NO3− ranged from medium risk (HQ of 1–4) to high risk (hazard quotient > 4) for all populations, and most risks were categorized into the medium risk rank. Groundwater F− was also found with health risk at some sporadic sites although it did not exceed, only approached, the desirable limit. Its health risk was only to infants and categorized into the medium risk with the maximum HQ of 1.55. Most phreatic groundwater (83.67%) in the study area had relatively good quality and was suitable for domestic usage with the EWQI value below 150. Others belonged to the poor (EWQI of 150–200) and extremely poor (EWQI > 200) quality categories, and mainly distributed in the urban Gaocheng. Thus, it is recommended to pay attentions to the anthropogenic contaminants inputs into phreatic aquifers in human activities areas.

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Topical Collection: Groundwater recharge and discharge in arid and semi-arid areas of China

Cited by 16 publications

References 19 publications

Development of a water resource allocation model based on the dynamic exploitable amount of groundwater and its application in the Jinghe County, Xinjiang

Development of a water resource allocation model based on the dynamic exploitable amount of groundwater and its application in the Jinghe County, Xinjiang

Predicting Groundwater Indicator Concentration Based on Long Short-Term Memory Neural Network: A Case Study

Accessible Phreatic Groundwater Resources in the Central Shijiazhuang of North China Plain: Perspective From the Hydrogeochemical Constraints

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