Pollution index and health risk assessment of arsenic through different groundwater sources and its load on soil-paddy-rice system in a part of Murshidabad district of West Bengal, India

Das, Antara; Joardar, Madhurima; De, Ayan; Mridha, Deepanjan; Chowdhury, Nirmalya; Khan, Taimur Bin Kashim; Chakrabartty, Partha; Roychowdhury, Tarit

doi:10.1016/j.gsd.2021.100652

Cited by 29 publications

(17 citation statements)

References 83 publications

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“…To avoid analytical uncertainty when using different subsets of wells to compare As concentrations measured during the two time periods, we further compared the data collected from the Raninagar-II block. In this block, As concentrations in both years were measured with hydride-generation atomic absorption spectroscopy (HG-AAS) in the SOES laboratory of Jadavpur University (Rahman et al, 2005; Das et al, 2021). The results showed that the proportion of As concentrations >10 µg/L decreased from 68% to 58%, suggesting positive steps toward declining population-level exposure to elevated As concentrations.…”

Section: Resultsmentioning

confidence: 99%

“…We selected this study area because of two striking characteristics: the low proportion of high-As (>10 µg/L) concentrations in tube wells to the west of the Bhagirathi River, which reflects the presence of older Pleistocene aquifers (Chakraborty et al, 2009;Datta et al, 2011), and the proportion of high-As (>10 µg/L) concentrations vs. low-As (≤10 µg/L) concentrations to the east of the Bhagirathi River. Thus, this study area will enable us to understand whether there is any shift in the occurrence of As hotspots in response to the widespread use of groundwater for agricultural activity (Haque, 2015;Das et al, 2021).…”

Section: Study Areamentioning

confidence: 99%

“…Predictive modeling at habitation scale thus becomes advantageous in the short term and provides evidence for the necessity of well-switching options. However, the transfer of As from groundwater to the food chain remains a threat to human health since there is increased groundwater-fed irrigation in Murshidabad (Haque, 2015; Das et al, 2021).…”

Section: Public Health Considerations and Mitigation Measuresmentioning

confidence: 99%

“…Bengal, numerous researchers have studied the As contamination and its health consequences for consumers (McArthur et al, 2004;Rahman et al, 2005;Charlet et al, 2007;Datta et al, 2011;Das et al, 2021). At the same time, sampling of well-water As over an extended area in West…”

Section: Introductionmentioning

confidence: 99%

“…The discovery of As and its clinical manifestation were first reported in the West Bengal state of India in 1984 (Garai et al, 1984). Following the discovery of As in groundwater in West Bengal, numerous researchers have studied the As contamination and its health consequences for consumers (McArthur et al, 2004; Rahman et al, 2005; Charlet et al, 2007; Datta et al, 2011; Das et al, 2021). At the same time, sampling of well-water As over an extended area in West Bengal was carried out by the late Prof. Dipankar Chakraborti and his group at the School of Environmental Studies (SOES) at Jadavpur University.…”

Section: Introductionmentioning

confidence: 99%

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A geospatial machine learning prediction of arsenic distribution in the groundwater of Murshidabad district, West Bengal, India: spatio-temporal pattern and human health risk

Nath

Das

Roychowdhury

et al. 2022

Preprint

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Arsenic (As) contamination of groundwater in parts of South and Southeast Asia is a public health disaster. Millions of people living in these regions could be chronically exposed to drinking water with As concentrations above the World Health Organizations provisional guideline of 10 μg/L. Recent field investigations have shown that the distribution of groundwater As in many shallow aquifers in India and Bangladesh is evolving rapidly due to massive irrigation pumping. This study compares a decade-old dataset of As concentration measurements in groundwater with a dataset of recent measurements using geospatial machine learning techniques. We observed that the probability of As concentrations >10 μg/L was much greater in the regions between two major rivers than in the regions close to the Ganges River on the eastern border of the study area, where As concentrations >10 μg/L had been measured prior to 2005. The greater likelihood that As is present away from the river channel and is found instead in the interfluvial regions could be attributed to the transport and flushing of aquifer As due to intense groundwater pumping for agriculture. We estimated that about 2.8 million people could be chronically exposed to As concentrations >10 μg/L. This high population-level exposure to elevated As concentrations could be reduced through targeted well-testing campaigns, promoting well-switching, provisions for safe water access, and developing plans for raising public awareness. Policymakers could use the ternary hazard map to target high-risk localities for priority house connections of piped water supply schemes to help reduce human suffering.

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Section: Resultsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Public Health Considerations and Mitigation Measuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A geospatial machine learning prediction of arsenic distribution in the groundwater of Murshidabad district, West Bengal, India: spatio-temporal pattern and human health risk

Nath

Das

Roychowdhury

et al. 2022

Preprint

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Potentially Toxic Metals and Health

Yapıcıoğlu¹,

Yeşilnacar²,

Tutkun³

2023

Medical Geology

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Distribution, Risk Assessment, and Source Apportionment of Heavy Metal Pollution in Cultivated Soil of a Typical Mining Area in Southwest China

et al. 2023

Enviro Toxic and Chemistry

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The present study investigates heavy metal pollution and its sources in cultivated soils in Bijie City, Guizhou Province, China. The ground accumulation index method was used to evaluate the associated risks, while correlation, principal component, and positive matrix factor model analyses were used to identify sources. The results show that the overall contamination levels, except for Cd, were not serious. Agricultural materials, industrial activities, transportation, coal combustion and atmospheric deposition, parent rock, and irrigation accounted for 19.66%, 14.11%, 14.54%, 16.33%, 20.70%, and 14.67% of the total accumulation of metals, respectively. Copper, Ni, Zn, and Cr came mainly from parent rocks; Pb was mainly from traffic emissions; Hg was mainly from coal deposition; As was mainly from irrigation; and Cd was mainly from industrial activities. The main sources of soil metals were irrigation, agricultural activities, and coal deposition in the east and industrial activities and soil-forming parent rocks in the west.

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Pollution index and health risk assessment of arsenic through different groundwater sources and its load on soil-paddy-rice system in a part of Murshidabad district of West Bengal, India

Cited by 29 publications

References 83 publications

A geospatial machine learning prediction of arsenic distribution in the groundwater of Murshidabad district, West Bengal, India: spatio-temporal pattern and human health risk

A geospatial machine learning prediction of arsenic distribution in the groundwater of Murshidabad district, West Bengal, India: spatio-temporal pattern and human health risk

Potentially Toxic Metals and Health

Distribution, Risk Assessment, and Source Apportionment of Heavy Metal Pollution in Cultivated Soil of a Typical Mining Area in Southwest China

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