Hydrogeochemical processes controlling the mobilization and enrichment of fluoride in groundwater of the North China Plain

Li, Junxia; Wang, Yuting; Zhu, Chenguang; Xue, Xiaobin; Qian, Kun; Wang, Yanxin

doi:10.1016/j.scitotenv.2020.138877

Cited by 91 publications

(14 citation statements)

References 58 publications

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“…Generally, aquifers above this aquitard are defined as the phreatic aquifers, and those below this are identified as confined aquifers. Due to the wide distribution of saline water in phreatic aquifers [49], confined aquifers are regarded as the most potential aquifers supporting the development of the study area [33,55]. e confined aquifers have a relatively poor water alternative ability and are mainly recharged and discharged through the lateral and vertical flow naturally.…”

Section: Study Areamentioning

confidence: 99%

“…Although it is rare for confined groundwater affected by external factors on its hydrochemical quality, the potential poor quality as a result of the internal factors cannot be evaded [48]. Geogenic poor quality of groundwater has been one of the greatest threats to the water supply for human society and is widely reported in many regions across the world [48][49][50][51][52][53][54].…”

Section: Introductionmentioning

confidence: 99%

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Hydrogeochemical Features and Genesis of Confined Groundwater and Health Perspectives for Sustainable Development in Urban Hengshui, North China Plain

Xiao

Liu

Hao

et al. 2021

Journal of Chemistry

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Groundwater in confined aquifers is the preferred water resource worldwide, and its hydrochemical quality is the premise for sustainable development. A systematic hydrogeochemical research was conducted to get insight into the hydrochemical characteristics, genesis, and potential health threats of confined groundwater, based on analytical data of 45 groundwater samples collected from the urban area of Hengshui, Central North China Plain (NCP). The results showed most groundwater had desirable hydrochemical quality with a nearly neutral to slightly alkaline nature and dominantly soft-fresh Cl-Na face. Solute chemistry was governed by rock-water interaction including minerals dissolution and ion exchange, but out of the anthropogenic influences. All nitrogen pollutants and Zn were within the desirable limit, while F−, Mn, and Fe were beyond the desirable limit recommended by WHO in 28.9%, 15.6%, and 68.9% of samples. Overall chronic health risk from these toxic elements was identified in terms of various populations and mainly contributed by F−. Infants were more prone to the health risks of aqueous pollutants. Differential water supplies based on hydrochemical quality are recommended, and water improvement measures are suggested to be conducted aiming at the harmful fluoride in confined groundwater. The present research could provide valuable references for the health sustainability of confined groundwater utilization in sedimentary plains like NCP worldwide.

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hydrogeochemical Features and Genesis of Confined Groundwater and Health Perspectives for Sustainable Development in Urban Hengshui, North China Plain

Xiao

Liu

Hao

et al. 2021

Journal of Chemistry

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“…Groundwater is the key water source for food, energy, and ecosystems especially in arid or semi-arid area (Gleeson et al, 2016). As part of the North China Plain, Beijing suffers from the semi-arid climate and is highly dependent on the groundwater as its water supply (Li et al, 2020b). In order to cope with the water resource shortage in Beijing, multiple emergency groundwater supply sources have been constructed in the phreatic aquifer in the Pinggu Basin, northeast of Beijing (Li et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Regional Groundwater Water Quality Assessment and Contamination Source Identification by a Self-Organizing Map and Entropy Method in Pinggu Basin, Northeast Beijing

Zhang

Sun

et al. 2022

Front. Environ. Sci.

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Groundwater quality assessment is important for understanding the suitability of groundwater resources for various purposes. Although many different methods have been proposed for this purpose, few methods have considered the spatial variation of groundwater components during the assessments. In this study, we proposed to combine the self-organizing map (SOM) and entropy-based weight determining method to assess groundwater quality. Totally, 955 water samples taken from 58 wells during 2010–2017 were used in the study. 22 hydrochemical components (K+, Na+, Ca2+, Mg2+, NH4+, Cl−, SO42-, F−, NO3−, Fe2+, Fe3+, Al, etc.) were used in the assessment for each sample. These sampling points can be classified into five clusters, which may be affected by four different sources: landfill sources (cluster 3), industrial and agricultural sources (cluster 5), and domestic sewage discharge sources (clusters 1, 2, and 4). The scores of the water quality of the five clusters that were calculated by the entropy method are 0.2658, 0.2634, 0.5737, 0.2608, and 0.5718, indicating that the groundwater affected by domestic sewage discharge sources (clusters 1, 2, and 4) are better than other two sources (clusters 3 and 5) in the study area. The results of this study provide insights for the protection of groundwater resources and the treatment of groundwater pollution in the future.

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“…Groundwater, an important water resource, is being overexploited due to the rapid population growth and economy, especially in arid and semi-arid areas. Excessive exploitation of aquifers has caused severe land subsidence, increased groundwater recharge area, and led to pollution and salinization of groundwater (Li et al, 2020). The NCP, one of the most heavily influenced regions through anthropogenic activities, has emerged as the largest groundwater depression cone in the world (Tang et al, 2013;Chen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Combined Wavelet Transform With Long Short-Term Memory Neural Network for Water Table Depth Prediction in Baoding City, North China Plain

Liang

Liu

et al. 2021

Front. Environ. Sci.

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Accurate estimation of water table depth dynamics is essential for water resource management, especially in areas where groundwater is overexploited. In recent years, as a data-driven model, artificial neural networks (NNs) have been widely used in hydrological modeling. However, due to the non-stationarity of water table depth data, the performance of NNs in areas of over-exploitation is challenging. Therefore, reducing data noise is an essential step before simulating the water table depth. This research proposed a novel method to model the non-stationary time series data of water table depth through combing the advantages of wavelet analysis and Long Short-Term Memory (LSTM) neural network (NN). A typical groundwater over-exploitation area, Baoding, North China Plain (NCP), was selected as a study area. To reflect the impact of anthropogenic activities, the variables harnessed to develop the model includes temperature, precipitation, evaporation, and some socio-economic data. The results show that decomposing the time series of the water table depth into three sub-temporal components by Meyer wavelets can significantly improve the simulation effect of LSTM on the water table depth. The average NSE (Nash-Sutcliffe efficiency coefficient) value of all the sites increased from 0.432 to 0.819. Additionally, a feedforward neural network (FNN) is used to compare forecasts over 12-months. As expected, wavelet-LSTM outperforms wavelet-FNN. As the prediction time increases, the advantages of wavelet-LSTM become more evident. The wavelet-LSTM is satisfactory for forecasting the water table depth at most in 6 months. Furthermore, the importance of input variables of wavelet-LSTM is analysed by the weights of the model. The results indicate that anthropogenic activities influence the water table depth significantly, especially in the sites close to the Baiyangdian Lake, the largest lake in the North China Plain. This study demonstrates that the wavelet-LSTM model provides an option for water table depth simulation and predicting areas of over-exploitation of groundwater.

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Hydrogeochemical processes controlling the mobilization and enrichment of fluoride in groundwater of the North China Plain

Cited by 91 publications

References 58 publications

Hydrogeochemical Features and Genesis of Confined Groundwater and Health Perspectives for Sustainable Development in Urban Hengshui, North China Plain

Hydrogeochemical Features and Genesis of Confined Groundwater and Health Perspectives for Sustainable Development in Urban Hengshui, North China Plain

Regional Groundwater Water Quality Assessment and Contamination Source Identification by a Self-Organizing Map and Entropy Method in Pinggu Basin, Northeast Beijing

Combined Wavelet Transform With Long Short-Term Memory Neural Network for Water Table Depth Prediction in Baoding City, North China Plain

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