Physicochemical and elemental contamination assessment in groundwater samples of Khairpur Mir's, Pakistan

Qasim, Muhammad; Jakhrani, Mushtaque Ali

doi:10.1080/10807039.2016.1277415

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…Higher levels were also present in surface/ irrigated water of Nagarparkar, Pakistan area which approached levels ranging between 3.6 and 6.8 mg L −1 for F − and 18.5-35.4 mg L −1 for total As (Brahman et al 2014). Similarly in Sindh, Pakistan, Arsenic levels were 2.6-230 folds higher than the WHO permissible limit for drinking water in Tharparkar area while up to 13 fold higher levels were reported in Khairpur Mir (Qasim and Jakhrani 2018). Elevated As level were also reported in Gujranwala (Mazhar et al 2019) and Tehsil Mailsi Punjab, Pakistan (Rasool et al 2016).…”

Section: Introductionmentioning

confidence: 84%

Quality assessment of drinking water of Multan city, Pakistan in context with Arsenic and Fluoride and use of Iron nanoparticle doped kitchen waste charcoal as a potential adsorbent for their combined removal

2021

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In majority cities of Pakistan, ground water is the main source of drinking water supply in the taps. Studies from different areas of Pakistan reported the presence of arsenic (As3/5+) and fluoride (F−) in drinking water supplies and can be envisaged as a deep-rooted cause of daily exposure of these in humans. The present study was planned with three way approach, i.e., to assess drinking water quality in Multan city, a highly populated and industrial activity area; synthesis of nano-adsorbent for simultaneous, effective and low-cost removal of fluoride and arsenic and manage waste by utilization of kitchen waste for synthesis of the nano-adsorbent. Out of 30 samples collected, 80% and 73% samples were found exceeding maximum residual limits (MRL) for F− and As3/5+, respectively, while 53% samples had both As3/5+ and F− concentrations greater than MRL. All these water samples were then treated with prepared nano-adsorbent, i.e., iron nanoparticles doped kitchen waste charcoal after evaluating the optimized experimental parameters and application of adsorption, kinetics and thermodynamic models. The nano-adsorbent showed high removal efficacy 81–100% for F− and 13–100% for As3+.

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Section: Introductionmentioning

confidence: 84%

Quality assessment of drinking water of Multan city, Pakistan in context with Arsenic and Fluoride and use of Iron nanoparticle doped kitchen waste charcoal as a potential adsorbent for their combined removal

2021

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“…From that study the arsenic levels of Khairpur district are taken for the year 2014. Researchers also evaluated arsenic values in groundwater of different communities in Khairpur district with the help of multivariate techniques [18]. We took arsenic values of Khairpur district for the year 2016 from this study.…”

Section: A Data Collectionmentioning

confidence: 99%

“…We used five forecasted arsenic values obtained from our arsenic prediction model to give input to this trained model and obtained five predicted cancer values.V. RESULTS AND DISCUSSIONFirst, we have organized our dataset of last five-years (2013 to 2017) of district Khairpur from studies[2],[16][17][18]. District Khairpur relates to left zone of Indus river bank.…”

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confidence: 99%

Groundwater Arsenic and Cancer Risk Assessment Prediction model via Machine Learning: A Step Towards Modernizing Academic Research

Iftikhar

Bhatti

Bhatti³

et al. 2020

SSURJET

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Ground water contamination with Arsenic (As) is one of the foremost issues in the South Asian countries where ground water is one of the foremost sources of drinking water. In Asian countries, especially people of Pakistan living in rural areas are devouring ground water for drinking purpose, and cleaned water is not accessible to them. This arsenic contaminated water is hazardous for human health. The persistence of this study is to study the increasing level of arsenic in ground water in coming years for Khairpur, Sindh Pakistan, which is also increasing the cancer rate (skin cancer, blood cancer) gradually in human body. To predict the arsenic value and cancer risk for the next five years, we have developed two models via Microsoft Azure machine learning with algorithms include Support Vector Machine (SVM), Linear Regression (LR), Bayesian Linear Regression (BLR), Boosted Decision tree (BDT), exponential smoothing ETS, Autoregressive Integrated Moving Average (ARIMA). The developed predictive model named as Arsenic Contamination and Cancer Risk Assessment Prediction Model (ACCRAP model) will help us to forecast the arsenic contamination levels and the cancer rate. The results demonstrated that BLR pose highest prediction accuracy of cancer rate among the four deployed machine learning algorithms.

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Occurrence and distribution of organic and inorganic pollutants in groundwater

Kurwadkar

2019

Water Environment Research

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Depletion of groundwater resources and continued decline in overall groundwater quality is a cause of concern because large human population around the world uses groundwater as a source of drinking water. This paper presents a comprehensive review of studies published in the year 2018 that documented issues of groundwater pollution, sources, and distribution reported from across the world due to anthropogenic, hydroclimatogical, and natural processes. Groundwater pollution due to organic contaminants focuses particularly on pesticides, herbicides, and contaminants of emerging concern. Pollution due to inorganic pollutants such as arsenic and other heavy metals is also reviewed with particular emphasis on regions that have reported a significantly higher incidence of these pollutants in groundwater. A compilation of various studies is also included in the review paper that showed increased incidences of waterborne illnesses due to fecal and microbial contamination due to poor sanitary practices. Reviews of groundwater contaminants such as fluoride and nitrate are included to provide readers a holistic understanding of groundwater pollution problem around the world.Practitioner points Groundwater pollution issues during 2018 are reviewed and documented. Occurrence of organic and inorganic pollutants in groundwater is reported. Groundwater pollution vulnerability remains a critical issue.

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Physicochemical and elemental contamination assessment in groundwater samples of Khairpur Mir's, Pakistan

Cited by 4 publications

References 24 publications

Quality assessment of drinking water of Multan city, Pakistan in context with Arsenic and Fluoride and use of Iron nanoparticle doped kitchen waste charcoal as a potential adsorbent for their combined removal

Quality assessment of drinking water of Multan city, Pakistan in context with Arsenic and Fluoride and use of Iron nanoparticle doped kitchen waste charcoal as a potential adsorbent for their combined removal

Groundwater Arsenic and Cancer Risk Assessment Prediction model via Machine Learning: A Step Towards Modernizing Academic Research

Occurrence and distribution of organic and inorganic pollutants in groundwater

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