Occurrence, Controlling Factors and Health Hazards of Fluoride-Enriched Groundwater in the Lower Flood Plain of Yellow River, Northern China

Xiao, Yong; Liu, Kui; Hao, Qichen; Li, Yasong; Xiao, Dian; Zhang, Yuanjing

doi:10.1007/s12403-021-00452-2

Cited by 57 publications

(20 citation statements)

References 71 publications

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“…Therefore, the groundwater is less polluted by human activities and the concentration of chemical components is low. Among the calculated average concentration, the contents of Na + and F − (Xiao et al, 2022) are very high, with 22.234 mg/l and 1.621 mg/l, respectively, which is consistent with the results of SOM topology in Figure 4. The average score of cluster 2's water quality is 0.2634, which is very close to cluster 1.…”

Section: Spatial Distribution Of Each Clusterssupporting

confidence: 87%

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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Section: Spatial Distribution Of Each Clusterssupporting

confidence: 87%

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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“…Because NO 3 –N pollution was the primary groundwater pollutant in Beijing [ 45 , 47 ], the pollution range accounts for 5% of the total area. Simultaneously, NO 3 –N, as a toxicological index, was affected by human activities considerably and had the greatest impact on human health and livestock hazards [ 48 , 49 ]. Therefore, NO 3 –N was selected as an evaluation index in this paper.…”

Section: Resultsmentioning

confidence: 99%

“…affected by human activities considerably and had the greatest impact on human health and livestock hazards [48,49]. Therefore, NO3-N was selected as an evaluation index in this paper.…”

Section: Applicability Evaluation Of Groundwater Qualitymentioning

confidence: 99%

Optimized Selection of Water Resource Allocation Schemes Based on Improved Connection Entropy in Beijing’s Southern Plain

Men

Yin

2022

Entropy

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Increased urbanization has caused problems such as increasing water consumption and the continuous deterioration of the groundwater environment. It is necessary to consider the groundwater quality in the water resource optimization system and increase the rate of reclaimed water development to reduce the amount of groundwater exploitation and achieve sustainable development of water resources. This study used the Daxing District, a region of Beijing’s southern plain, as an example to evaluate water quality by analyzing water quality data of surface and groundwater from 2012 to 2016 and actual water-use schemes from 2006 to 2016. Three groundwater extraction modes were set up based on NO3–N concentrations, water resources were optimized under three extraction modes, and water resource optimization schemes were determined based on the improved connection entropy. The results show that (1) the surface water quality was poor, and the proportion of V4 type water in the indexes of NH3–N and chemical oxygen demand (COD) was the largest. The surface water can only be used for agricultural irrigation. The pollution sources contributing most to NH3–N and COD were domestic and agricultural pollution sources. (2) The groundwater quality was good. The NO3–N index was primarily type I–III water, accounting for 95.20% of the total samples. Severe NH3–N pollution areas were mainly in the northern region, and most regional groundwater can be used for various purposes. (3) Taking 2016 as an example, three groundwater exploitation modes were set to optimize water resource allocation, and the results showed that the rate of groundwater development and NO3–N pollution decreased significantly after optimization. (4) Connection entropy is an evaluation method that combines connection numbers and entropy, including identify, difference, and opposition entropy. As connection entropy being a kind of complete entropy, which can reflect the difference of the system in different states, based on the improved connection entropy, the connection entropies of optimal water resource allocation and actual water-use schemes were calculated. The connection entropy of groundwater exploitation mode 3 was less than that of groundwater exploitation modes 1 and 2 and actual water-use schemes from 2006 to 2016. Therefore, exploitation mode 3′s water resource optimization scheme was recommended. In the paper, satisfactory results have been obtained. As a kind of complete entropy, connection entropy has great research value in dealing with complex hydrological problems. This study’s research methods and outcomes can provide methodological and theoretical lessons for water management in freshwater-deficient areas.

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“…Groundwater is an essential source of water for agricultural, industrial, and environmental uses and the drinking water supply due to its generally good quality and widespread occurrence (Cao et al, 2013). However, groundwater depletion has extensively occurred and become a global hotspot due to the unremitting and unreasonable overexploitation in many regions (Aeschbach-Hertig and Gleeson, 2012;Gleeson et al, 2012;Feng et al, 2013;Huang et al, 2015;Alin et al, 2017), such as North Africa (Shah et al, 2003), Northwest India (Rodell et al, 2018), the Middle East (Voss et al, 2013), and the North China Plain (NCP) (Xiao et al, 2022a;Xiao et al, 2022b). The NCP occurs among the most severe regions, with groundwater levels declining as fast as 1 m/a between 1974 and 2000 (Qiu, 2010).…”

Section: Introductionmentioning

confidence: 99%

Combining river replenishment and restrictions on groundwater pumping to achieve groundwater balance in the Juma River Plain, North China Plain

et al. 2022

Self Cite

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In recent years, to alleviate the decline in groundwater levels, extensive restrictions on groundwater pumping have been implemented in the North China Plain (NCP). In September 2018, a large-scale ecological water replenishment project was executed involving 22 rivers and lakes. How to adjust the layout of reduction on groundwater pumping within the context of ecological water replenishment is a key issue to be addressed in the study of groundwater level recovery in the NCP. This study adopted the Juma River Plain in Baoding city as a case study, established a numerical model of river replenishment of groundwater, predicted groundwater level changes over the next 15 years (2021–2035) and quantitatively calculated the impact of river replenishment on groundwater levels. To achieve the goal of an overall groundwater balance by 2035, a suitable groundwater pumping restriction scenario was defined based on the impact of river replenishment on groundwater levels. The results indicated that by 2035, the relative rise in groundwater levels attributed to river replenishment and restrictions on groundwater pumping could reach 3.51 and 2.28 m, respectively. River replenishment significantly impacts groundwater levels, especially those near the river. Under the current groundwater exploitation conditions, river replenishment could ensure groundwater level recovery near the river, which accounts for 15% of the total study area. The goal of an overall groundwater balance by 2035 could be achieved if restrictions on groundwater pumping were superimposed, with an average annual reduction of 56 million m3. This study provides valuable insights into groundwater management across the NCP. The proposed methods are useful for the management of other depleted aquifers recharged via ecological water replenishment.

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Occurrence, Controlling Factors and Health Hazards of Fluoride-Enriched Groundwater in the Lower Flood Plain of Yellow River, Northern China

Cited by 57 publications

References 71 publications

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

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

Optimized Selection of Water Resource Allocation Schemes Based on Improved Connection Entropy in Beijing’s Southern Plain

Combining river replenishment and restrictions on groundwater pumping to achieve groundwater balance in the Juma River Plain, North China Plain

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