Assessment of the statistical significance of seasonal groundwater quality change in a karstic aquifer system near Izmir-Turkey

Elçi, Alper; Polat, Rahime

doi:10.1007/s10661-010-1346-2

Cited by 19 publications

(7 citation statements)

References 10 publications

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“…The present study did not consider temporal variation of the groundwater quality owing to the high stability of the groundwater relative to surface waters ( Elçi and Polat 2011 ). Geographic coordinates of the sampling villages; sampling date and weather conditions; depth of the wells; and pH, temperature, and electrical conductivity of the groundwater samples are listed in Excel Table S1.…”

Section: Methodsmentioning

confidence: 99%

“…A large number of epidemiological surveys have shown there is a definite relationship between chemical pollution of drinking relative to surface waters (Elçi and Polat 2011). Geographic coordinates of the sampling villages; sampling date and weather conditions; depth of the wells; and pH, temperature, and electrical conductivity of the groundwater samples are listed in Excel Table S1.…”

Section: Introductionmentioning

confidence: 99%

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Occurrence and Health Risks of Organic Micro-Pollutants and Metals in Groundwater of Chinese Rural Areas

Tian

Shang

et al. 2020

Environ Health Perspect

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Background: Groundwater is a main drinking-water source for Chinese rural residents. The overall pollution status of organic micropollutants (OMPs) and metals in the groundwater and corresponding health risks are unknown. Objectives: Our objective was to comprehensively screen for and assess the health risks of OMPs and metals in groundwater of rural areas in China where groundwater is used for drinking so as to provide a benchmark for monitoring and improving groundwater quality in future developments. Methods: One hundred sixty-six groundwater samples were collected in the rural areas of China, and 1,300 OMPs and 25 metals were screened by GC-MS, LC-QTOF/MS, and ICP-MS analysis. To assess the noncarcinogenic and carcinogenic risks of the detected pollutants, missing toxicity threshold values were extrapolated from existing databases or predicted by quantitative structure–activity relationship (QSAR) models. Monte Carlo simulation was performed to account for uncertainties in the exposure parameters and toxicity thresholds. Results: Two hundred thirty-three OMPs and 25 metals were detected from the 166 samples. The concentration summation for the detected OMPs ranged from 2.9 to among the different sampling sites. Cumulative noncarcinogenic risks for the OMPs were estimated to be negligible. However, high metal risks were calculated in 23% of the sites. Forty-two carcinogens (including 38 OMPs) were identified and the cumulative carcinogenic risks in 34% of the sites were calculated to be (i.e., one excess cancer case in a population of 10 thousand people). The carcinogenic risks were estimated to be mainly associated with exposures to the metals, which were calculated to contribute 79% (0–100%) of the cumulative carcinogenic risks. Discussion: The overall status of OMPs and metals pollution in the groundwater and the corresponding health risks were determined preliminarily, which may provide a benchmark for future efforts in China to ensure the safety of drinking water for the local residents in rural areas. The joint application of QSARs and Monte Carlo simulation provided a feasible way to comprehensively assess the health risks of the large and ever-increasing number of pollutants detected in the aquatic environment. https://doi.org/10.1289/EHP6483

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Occurrence and Health Risks of Organic Micro-Pollutants and Metals in Groundwater of Chinese Rural Areas

Tian

Shang

et al. 2020

Environ Health Perspect

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“…The Mountain Nif Karstic Aquifer System is the principal water source of the city of İzmir (Elçi and Polat 2011), the third largest metropolitan by population (4 and half million by 2021) in Turkey. Mountain Nif Aquifer recharges the below Bornova, Kemalpaşa, and Torbalı plains, the areas where intensive agricultural and industrial activities are taking place (Elçi and Polat 2011). Tahtalı Dam reservoir meets approximately 30% of the total water consumed in the city of Izmir (Elçi and Polat 2011).…”

Section: İzmir and Its Surroundingsmentioning

confidence: 99%

Nitrates in Turkish waters: sources, mechanisms, impacts, and mitigation

Erşahin,

Bilgili

2023

Environ Sci Pollut Res

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Intensive technological developments, rapid population growth, unplanned urbanization, and excessive use of nitrogen fertilizers have caused water resources to be contaminated substantially by nitrates in Turkey as well as across the world as evidenced by the accumulated scienti c information. The information should be evaluated to draw a nationwide attention to the problem. The aim of this review article was to highlight the importance of nitrate (NO 3 ) contamination and to discuss the measures to be taken to mitigate nitrate contamination across the nation. Signi cant number of the peer-reviewed scienti c articles were examined to identify anthropogenic sources, spatial and temporal variability, and contamination mechanisms of the nitrate contamination of the water resources across Turkey. Agriculture, especially chemical fertilizers used in irrigated agriculture, was the most important source of nitrates in groundwater. Also, the industrial and domestic discharges from highly populated and industrialized regions were signi cant sources of nitrates in the water resources. The most severe and widespread nitrate contamination occurred in the regions where intensive agriculture, industrial development, and rapid urbanization coincided. Drinking waters have been exposed to a signi cant nitrate contamination in many regions across the nation, raising a serious health concern to the people. A well-developed action plan is urgent for mitigating nitrate contamination in Turkish waters to avoid further degradation of those valuable resources.

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“…The quality of groundwater is influenced by both natural factors and anthropogenic factors (Machiwal and Jha, 2015). Various tools and techniques are performed to understand the groundwater quality, such as applying statistical test in a arstic aquifer (Elci and Polat, 2011), using geopraphic information system or GIS (Machiwal et al, 2011;Verma et al, 2019), and characterizing groundwater quality using multivariate statistics (Adhikary et al, 2014;Doza et al, 2016;Gulgudi, 2018;Jiang et al, 2015). Many studies also conducted in order to understand the temporal influence on groundwater quality, such as assessing spatial and temporal variation on nitrate contamination in groundwater (Biddau et al, 2019;Wijayanti et al, 2013), and using multivariate statistical techniques on evaluating spatio-temporal variation of groundwater quality (Zhang et al, 2020;Pashaerifar et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Temporal Variation of Groundwater Quality in Sleman, Yogyakarta, Indonesia

Wijayanti

Fittkow

Kusumadewi³

et al. 2021

indones. j. urban. environ. technol.

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Groundwater quality evaluation is important to gain an insight of contamination source. It can later be utilized to review the implementation of a water resource management policy in a specific region. Aim: This study evaluate the short-term temporal variation of groundwater quality and its possible contamination source in Sleman, Yogyakarta. Methodology and Results: the statistical approach was utilized using boxplot, principle component analysis (PCA) and correlation matrices, to the data for 50 sampling sites. The data of groundwater quality are available from the local environmental authority of Environmental Agency Sleman.The box plots revealed that groundwater quality might largely influenced by rainfall in the area. The factor loading of PCA presented that the ratio of concentration of both chloride and TDS are the most varied of all samples, and the less variable parameter is fluoride. The pair of groundwater quality parameter which had strong correlation were varied in each year, except for TDS and chloride that showed strong correlation in all three years. Nitrite had strong correlation with iron in 2017 and, nitrite also had strong correlation with both manganese and fluoride in 2019. The existence of fluoride in correlation with other parameter might give an insight of contamination from livestock wastes, where in the study area there are many poultry and cow farms, and small scale chicken slaughter industries. Conclusion, significant and impact study: This study gives preliminary understanding on temporal variation of groundwater quality, for further research on groundwater quality in Sleman, Yogyakarta.

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Assessment of the statistical significance of seasonal groundwater quality change in a karstic aquifer system near Izmir-Turkey

Cited by 19 publications

References 10 publications

Occurrence and Health Risks of Organic Micro-Pollutants and Metals in Groundwater of Chinese Rural Areas

Occurrence and Health Risks of Organic Micro-Pollutants and Metals in Groundwater of Chinese Rural Areas

Nitrates in Turkish waters: sources, mechanisms, impacts, and mitigation

Temporal Variation of Groundwater Quality in Sleman, Yogyakarta, Indonesia

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