Appraising spatial variations of As, Fe, Mn and NO3 contaminations associated health risks of drinking water from Surma basin, Bangladesh

Ahmed, N.; Bodrud-Doza, Md.; Islam, Abu Reza Md. Towfiqul; Hossain, Shahadat; Moniruzzaman, Md.; Deb, Nipa; Bhuiyan, Md. Abdul Quaiyum

doi:10.1016/j.chemosphere.2018.11.104

Cited by 71 publications

(23 citation statements)

References 53 publications

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“…Although drinking water from water treatment plants may meet the required standard, the final water used by customers may still be contaminated due to the deterioration of the water in the drinking water distribution systems. The final water may contain increased iron and manganese concentrations, increased turbidity, or may change in color and may even contain high numbers of bacteria [6,7,8]. The main reason for deterioration of water quality is that drinking water passes through long pipes during its distribution and has a long hydraulic retention time [2,9].…”

Section: Introductionmentioning

confidence: 99%

Metals in Occluded Water: A New Perspective for Pollution in Drinking Water Distribution Systems

Tong

et al. 2019

IJERPH

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Occluded water is water that remains inside corrosion scales within deteriorating distribution pipes. The accumulation of iron and manganese in the occluded water is a potential risk for water quality. Thus, this study investigated the change in metal (iron, manganese, copper and chromium) concentration in occluded water, the effect of these metals on the flowing water, and the source of iron and manganese in the occluded water using a simulation device. The results showed that total iron and total manganese were enriched in the occluded water, while the concentrations of total copper and total chromium in the occluded water gradually decreased over time. The iron and manganese in the occluded water migrate to the flowing water causing pollution in the flowing water. Also, copper and chromium adsorb on the corrosion scales within the pipes. The iron and manganese in the occluded water mainly came from the corrosion of the metal pipes, and the corrosion scales had a certain obstructive effect on the outward migration of iron in the occluded water but had less hindrance to the migration of manganese. Occluded water plays a critical role in the pollution of drinking water, and additional work is needed to control metal accumulation and release.

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Section: Introductionmentioning

confidence: 99%

Metals in Occluded Water: A New Perspective for Pollution in Drinking Water Distribution Systems

Tong

et al. 2019

IJERPH

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“…High As risks were identified in the sites in Tianjin, Hebei, Liaoning, Jilin, Xinjiang, Inner Mongolia, He’nan, Shandong, and Jiangsu provinces. Many previous studies focused on health risks of As in groundwater ( Ahmed et al. 2019 ; Buschmann et al.…”

Section: Discussionmentioning

confidence: 99%

“…High As risks were identified in the sites in Tianjin, Hebei, Liaoning, Jilin, Xinjiang, Inner Mongolia, He'nan, Shandong, and Jiangsu provinces. Many previous studies focused on health risks of As in groundwater (Ahmed et al 2019;Buschmann et al 2008;Camacho et al 2011;Kumar et al 2016;Rodríguez-Lado et al 2013). Rodríguez-Lado et al (2013) also pointed out that high As risks are associated with areas in Xinjiang, Inner Mongolia, He'nan, Shandong, and Jiangsu provinces.…”

Section: Health Risks Of Metalsmentioning

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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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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“…The NO 3 concentrations in the study sites surpassed 80 % of the FAOs` guideline value. Possible sources of high NO 3 may be derived from fertilizers, animal waste, septic tanks, sewage treatment facilities and rotting plant litter (Ahmed et al 2019;Islam et al 2017a). On the other hand, in the wet season, the abovementioned water quality parameters were diluted.…”

Section: Water Quality Statusmentioning

confidence: 99%

Multivariate statistics and entropy theory for irrigation water quality and entropy-weighted index development in a subtropical urban river, Bangladesh

Siddique

Islam

Hossain

et al. 2021

Environ Sci Pollut Res

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Currently, a well-developed combination of irrigation water quality index (IWQIs) and entropy water quality index (EWQIs) for surface water appraisal in a polluted subtropical urban river is very scarce in the literature. To close this gap, we developed IWQIs by establishing statistics-based weights of variables recommended by FAO 29 standard value using the National Sanitation Foundation Water Quality Index (NSFWQI) compared with the proposed EWQIs based on information entropy in the Dhaleshwari River, Bangladesh. Fifty surface water samples were collected from ve sampling locations during the dry and wet seasons and analyzed for sixteen variables. Principal component analysis (PCA), factor analysis (FA), Moran's spatial autocorrelation, and random forest (RF) model were employed in the datasets. Weights were allocated for preliminary variables to compute IWQI-1, 2 and EWQI-1, 2 respectively. The resultant IWQIs showed an analogous trend with EWQIs and revealed poor to good quality water, with IWQI-1 for the dry season and IWQI-2 for the wet season is further suggested. The entropy theory recognized that Mg, Cr, TDS, and Clfor the dry season and Cd, Cr, Cland SO 4 2for the wet season are the major contaminants that affect irrigation water quality. The primary input variables were lessened to ultimately shortlisted ten variables, which revealed good performance in demonstrating water quality status since weights have come effectively from PCA than FA. The results of the RF model depict NO 3 -, Mg, and Cr as the most predominant variables in uencing surface water quality. A signi cant dispersed pattern was detected for IWQImin-3 in the wet season (Moran's I>0). Overall, both IWQIs and EWQIs will generate water quality control cost-effective, completely objective to establish a scienti c basis of sustainable water management in the study basin. IntroductionWater quality means its quali cation for a particular reason and is controlled by class and number of disintegrated compositions (Ewaid et al. 2019). This composition acts a pivotal role in plant development and advancement either legitimately as far as insu ciency or in a roundabout way through in uencing supplement accessibility (Salem et al. 2019). In this way, top-notch harvests must be yielded by high-quality irrigation water as it is straightforwardly associated with soil and plant environment (Singh et al. 2018). Therefore, timely monitoring, appraising, and forecasting of probable variations in water quality are required (Matta et al. 2020;Islam et al. 2020a).Generally, simultaneous measurement of physical, chemical and biological water quality parameters is essential for a comprehensive surface water quality appraisal. One of the key potential issues of water quality studies is the set of variables that can be continuously monitored and related costing, collecting, analyzing and interpreting these datasets. To solve these issues, a particular water quality index (WQI) has been employed to handle the effective water quality classi cation using many parame...

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Appraising spatial variations of As, Fe, Mn and NO3 contaminations associated health risks of drinking water from Surma basin, Bangladesh

Cited by 71 publications

References 53 publications

Metals in Occluded Water: A New Perspective for Pollution in Drinking Water Distribution Systems

Metals in Occluded Water: A New Perspective for Pollution in Drinking Water Distribution Systems

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

Multivariate statistics and entropy theory for irrigation water quality and entropy-weighted index development in a subtropical urban river, Bangladesh

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