Assessing Groundwater Quality and Health Risks of Nitrogen Pollution in the Shenfu Mining Area of Shaanxi Province, Northwest China

Su, He; Kang, Weidong; Xu, Youlong; Wang, Jiading

doi:10.1007/s12403-017-0247-9

Cited by 116 publications

(38 citation statements)

References 45 publications

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“…According to US-EPA (1989) and Su et al (2017), if HI is greater than unity (HI > 1), it implies that the non-carcinogenic health risk of ingesting a particular element is above the acceptance limit, whereas HI < 1 implies that they are within the acceptance limit.…”

Section: Hazard Index (Hi)mentioning

confidence: 99%

“…Based on the HQ analysis, the order of impact of the trace metals with respect to their mean values is Pb > Ni > Fe > Zn > Cr for the children population and Pb > Fe > Ni > Zn > Cr for the adult population (Table 5). In both population groups, and by examination of the samples based on their HQ, values > 1 increase the non-carcinogenic risks of water by ingestion (US-EPA 1989;Bortey-Sam et al 2015;Su et al 2017). The HI results show that 25% of the samples (including WS02, WS03, WS05, WS19, WS26, WS27, and WS28) predispose their users (both adult and children populations) to high noncarcinogenic, chronic risks.…”

Section: Non-carcinogenic Health Risk Assessmentmentioning

confidence: 99%

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Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Egbueri

Mgbenu

2020

Appl Water Sci

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This paper quantified the level of heavy metals contamination, identified possible sources of pollution, and assessed the human health risks associated with drinking water resources in Ojoto Province, Nigeria. The study's gross findings revealed that the suitability of some water sources for consumption purposes in this province is questionable. Based on water quality index, 57.14% of the total samples are within acceptable limits, while 42.86% are unsuitable for drinking. It was observed that the northwestern and southern parts of the study area have more of deteriorated water quality. The health hazard index revealed that 25% of the samples predispose their consumers (both adult and children populations) to high chronic health risks. Moreover, heavy metal pollution index, contamination index, and probability of cancer risk (CR) revealed that about 25% of the total samples were unsuitable and off the CR standard acceptable range of ≤ 1 × 10 −6-1 × 10 −4. Correlation and component factor analyses linked the origin of major ions to geogenic processes and that of the heavy metals to both natural and anthropogenic processes. Cluster analysis divided the samples into two equal classes (50% each): poor and excellent quality waters. This study indicated that Pb is the priority pollutant impacting the water quality. The various assessments revealed that waters from hand-dug wells and deeper boreholes are the least contaminated and hence best suited for drinking than waters from springs, streams, and shallow wells.

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Section: Hazard Index (Hi)mentioning

confidence: 99%

Section: Non-carcinogenic Health Risk Assessmentmentioning

confidence: 99%

Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Egbueri

Mgbenu

2020

Appl Water Sci

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“…Values of HI and HQ greater than 1 indicate the noncarcinogenic risk of the specific element exceeds the limit of acceptance (HI = 1), while values less than 1 indicate that the non-carcinogenic risk is within limits of acceptance (USEPA 1989;Su et al 2017). Table 1 shows USEPA (1989) classification of non-carcinogenic risk as presented by Bortey-Sam et al 2015, Barzegar et al (2017bBarzegar et al ( , 2018b.…”

Section: Health Risk Assessmentmentioning

confidence: 99%

The hydrogeochemical signatures, quality indices and health risk assessment of water resources in Umunya district, southeast Nigeria

Mgbenu¹,

Egbueri

2019

Appl Water Sci

220

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The hydrogeochemical characteristics, water quality and health risk statuses of waters in Umunya district, southeastern Nigeria were studied, in attempt to evaluate their suitability for drinking and domestic purposes. Twelve groundwater and 3 surface water samples were analyzed for 26 physicochemical and hydrogeochemical parameters, using standard techniques. Results show that dominance of cations and anions is in the order Ca 2+ > Na + > K + > Mg 2+ and HCO 3-> Cl-> NO 3-> SO 4-, respectively. Order of dominance of the heavy metals is Pb > Zn > Fe > Ni > Mn > Cr > Ba. Eight water types were identified, with Ca-Na-HCO 3 (26.66%) and Na-Cl-HCO 3 (20%) dominating the study area. All the water types characterize five major facies. Further, the result revealed that the physical properties and chemical ionic concentrations in the waters are well below standard maximum permissible limits, although majority of the samples have pH values off the allowable limits of 6.5-8.5, classing the waters as slightly acidic. Generally, the water quality in the study area is deteriorated due to the presence of high levels of heavy metals. Water quality index results show that 46.67% of the water samples are in excellent and good categories. 13.33% are in poor water category, whereas 40% are in category unsuitable for drinking purposes. A good percentage of the waters predispose users to health risks. Stoichiometric and statistical analyses revealed that the variations in chemistry and quality of the waters are due to combined influence of human activities and geogenic processes (silicate weathering and ionic exchanges). Treatment of contaminated waters before use is, therefore, recommended.

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“…The contamination of groundwater is a major problem, which has posed serious threats to human health and environmental quality worldwide [5]. The issue of groundwater contamination is caused by various human activities such as agricultural, industrial, and others, leading to infiltration of nitrates, organic matter, and pesticides, among others, deep into the aquifer [6]. The chemical property of natural groundwater is generally perfect, however, environmental factors associated with the increase in concentrations of some components can cause complications when it comes to using the water [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…With accelerated development, coupled with the indisciplined approach in the execution of some development projects, groundwater is impacted continuously by agriculture, mining, industry, and other anthropogenic activities [9,10]. Waste products are discharged into the river systems resulting in the pollution of both surface and groundwater [6,11]. However, these systems often do not have leakage prevention, resulting in direct or indirect infiltration of wastewater into local aquifers and subsequent contamination of the groundwater resources [5].…”

Section: Introductionmentioning

confidence: 99%

Hydrochemical Analysis and Fuzzy Logic Method for Evaluation of Groundwater Quality in the North Chengdu Plain, China

Mohamed

Liú

Song

et al. 2019

IJERPH

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Groundwater is a major water resource in the North Chengdu Plain, China. The research objective is to determine the quality and suitability of groundwater for drinking purposes within the vicinity of a shallow, unconsolidated aquifer of Quaternary age. In this study, a detailed investigation was conducted to define the hydrochemical characteristics that control the quality of groundwater, based on traditional methods. Considering the uncertainties linked with water resources and the environmental complications, the fuzzy logic method was used in the determination of groundwater quality for more precise findings that support decision-making. To achieve such an objective, sixteen water quality guidelines were used to determine groundwater quality status in six selected wells. The results showed that the groundwater is neutral, very hard, and fresh in nature. Dominating cations and anions are in the order of Ca 2 + > Na + > Mg 2 + > K + and HCO 3 - > SO 4 2 - > Cl - . The Piper trilinear diagram demonstrates that the hydrochemical facies of groundwater are mostly of Ca-HCO 3 type. Statistical analysis denotes a positive correlation between most of the chemical parameters. The study took the results of the fuzzy logic evaluation method into consideration, to classify the samples into five groups according to the Chinese groundwater quality standard (GB/T 14848-93) for their suitability for domestic use. The results demonstrated that the quality of the groundwater samples is within grade II and III, and is suitable for drinking purposes. The comprehensive evaluation of groundwater quality is critical to aid sensitive policy decisions, and the proposed approach can guarantee reliable findings to that effect. The results of this study would also be helpful to future researches related to groundwater quality assessment.

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Assessing Groundwater Quality and Health Risks of Nitrogen Pollution in the Shenfu Mining Area of Shaanxi Province, Northwest China

Cited by 116 publications

References 45 publications

Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

Chemometric analysis for pollution source identification and human health risk assessment of water resources in Ojoto Province, southeast Nigeria

The hydrogeochemical signatures, quality indices and health risk assessment of water resources in Umunya district, southeast Nigeria

Hydrochemical Analysis and Fuzzy Logic Method for Evaluation of Groundwater Quality in the North Chengdu Plain, China

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