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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Groundwater arsenic contamination and public health risk in the Bengal floodplain

Isabella Betancur andrés ZuluagaPaula Monsalve

Volume 7(2) · Pages 123–125 · DOI: 10.22271/27067483.2025.v7.i2b.580 ↗

Research areasArsenic contamination and mitigationHeavy metals in environmentFluoride Effects and Removal

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Abstract

Author-written

One observation stands out in the groundwater chemistry of the Bengal floodplain: arsenic concentrations in shallow tube wells often peak not at the surface but at depths between 20 and 30 metres, then decline sharply below 50 metres. This depth-dependent pattern holds the key to understanding both the contamination mechanism and the public health risk it poses. This research assessed arsenic and iron concentrations in 284 tube wells across three depth zones (<20 m, 20-50 m, >50 m) in the Bengal floodplain, and linked the geochemical findings to health complaint records from 12 community health centres serving approximately 186,000 residents. Arsenic concentrations exceeded the WHO guideline of 50 μg/L in 64.8% of wells in the 20-50 m zone, compared to 38.2% in the <20 m zone and just 8.7% in wells deeper than 50 m. Peak arsenic (421 μg/L) occurred at 25 m depth, coinciding with maximum iron concentrations (9.7 mg/L), supporting the reductive dissolution mechanism for arsenic mobilisation. Health records showed skin lesion prevalence of 18.7 per 1,000 in high-arsenic areas versus 3.2 per 1,000 in low-arsenic zones. A hazard quotient analysis indicated that 72.4% of residents in the 20-50 m well zone faced non-carcinogenic risk above the acceptable threshold (HQ > 1). These findings support the recommendation that new wells in this region should target depths below 50 m wherever aquifer conditions permit.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • The Bengal floodplain is the site of the largest mass poisoning in human history, with an estimated 35 to 77 million people affected across eastern India and Bangladesh. View evidence ↗

      Why it matters

      The Bengal floodplain is the site of the largest mass poisoning in human history, with an estimated 35 to 77 million people affected across eastern India and Bangladesh.

      In the paper's own words

      “the Bengal floodplain remains the largest mass poisoning event in human history, affecting an estimated 35-77 million people across Bangladesh and eastern India”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Arsenic is released into groundwater when iron oxyhydroxide minerals undergo reductive dissolution, a process triggered by the decomposition of organic matter under anaerobic conditions. View evidence ↗

      Why it matters

      Arsenic is released into groundwater when iron oxyhydroxide minerals undergo reductive dissolution, a process triggered by the decomposition of organic matter under anaerobic conditions.

      In the paper's own words

      “Arsenic enters groundwater through reductive dissolution of iron oxyhydroxide minerals in the alluvial sediments. As organic matter decomposes under anaerobic conditions, iron (III) is reduced to iron (II), releasing adsorbed arsenic into solution”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Arsenic mobilization is most active in grey, reducing sediments at intermediate depths (15-45 m), whereas deeper aquifers in oxidized brown sands usually have arsenic levels below guidelines. View evidence ↗

      Why it matters

      Arsenic mobilization is most active in grey, reducing sediments at intermediate depths (15-45 m), whereas deeper aquifers in oxidized brown sands usually have arsenic levels below guidelines.

      In the paper's own words

      “This process is most active in the grey, reducing sediments found at intermediate depths (15-45 m), while deeper aquifers hosted in oxidised brown sands typically contain arsenic below guideline levels”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. What they did

    • Researchers sampled 284 tube wells across three districts of the Bengal floodplain between 2021 and 2022, categorizing them into shallow (<20 m, n=94), intermediate (20-50 m, n=112), and deep (>50 m, n=78) zones. View evidence ↗

      What they did

      Researchers sampled 284 tube wells across three districts of the Bengal floodplain between 2021 and 2022, categorizing them into shallow (<20 m, n=94), intermediate (20-50 m, n=112), and deep (>50 m, n=78) zones.

      In the paper's own words

      “Water samples were collected from 284 tube wells across three districts of the Bengal floodplain during four sampling campaigns (pre-monsoon and post-monsoon, 2021 and 2022). Wells were classified by depth: shallow (<20 m, n = 94), intermediate (20-50 m, n = 112), and deep (>50 m, n = 78).”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Health data for the analysis were extracted from the registers of 12 community health centers covering the period from 2018 to 2022. View evidence ↗

      What they did

      Health data for the analysis were extracted from the registers of 12 community health centers covering the period from 2018 to 2022.

      In the paper's own words

      “Health data were extracted from registers at 12 community health centres for the period 2018-2022.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Arsenic speciation was measured using hydride generation atomic absorption spectrometry, while iron, manganese, and phosphate were analyzed via ICP-OES. View evidence ↗

      What they did

      Arsenic speciation was measured using hydride generation atomic absorption spectrometry, while iron, manganese, and phosphate were analyzed via ICP-OES.

      In the paper's own words

      “Arsenic speciation (As(III) and As(V)) was determined by hydride generation atomic absorption spectrometry (HG-AAS) on a Varian SpectrAA 220. Iron, manganese, and phosphate were measured by ICP-OES.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The study used the USEPA hazard quotient (HQ) method to assess non-carcinogenic health risks. View evidence ↗

      What they did

      The study used the USEPA hazard quotient (HQ) method to assess non-carcinogenic health risks.

      In the paper's own words

      “Non-carcinogenic health risk was assessed using the USEPA hazard quotient (HQ = CDI/RfD) method”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  3. What they found

    • The highest percentage of wells exceeding the WHO arsenic guideline (50 μg/L) was found in the 20-50 m zone (64.8%), followed by the <20 m zone (38.2%) and the >50 m zone (8.7%). View evidence ↗

      What they found

      The highest percentage of wells exceeding the WHO arsenic guideline (50 μg/L) was found in the 20-50 m zone (64.8%), followed by the <20 m zone (38.2%) and the >50 m zone (8.7%).

      In the paper's own words

      “Arsenic concentrations exceeded the WHO guideline of 50 μg/L in 64.8% of wells in the 20-50 m zone, compared to 38.2% in the <20 m zone and just 8.7% in wells deeper than 50 m.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Peak arsenic levels of 421 μg/L and maximum iron concentrations of 9.7 mg/L both occurred at a depth of 25 m, supporting the theory of reductive dissolution. View evidence ↗

      What they found

      Peak arsenic levels of 421 μg/L and maximum iron concentrations of 9.7 mg/L both occurred at a depth of 25 m, supporting the theory of reductive dissolution.

      In the paper's own words

      “Peak arsenic (421 μg/L) occurred at 25 m depth, coinciding with maximum iron concentrations (9.7 mg/L), supporting the reductive dissolution mechanism for arsenic mobilisation.”

      Page 1

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 1 ↗
    • Skin lesion prevalence was significantly higher in high-arsenic areas (18.7 per 1,000) compared to low-arsenic zones (3.2 per 1,000). View evidence ↗

      What they found

      Skin lesion prevalence was significantly higher in high-arsenic areas (18.7 per 1,000) compared to low-arsenic zones (3.2 per 1,000).

      In the paper's own words

      “Health records showed skin lesion prevalence of 18.7 per 1,000 in high-arsenic areas versus 3.2 per 1,000 in low-arsenic zones.”

      Page 1

      Found in: Conclusion

      Read it in the full textOpen PDF at page 1 ↗
    • Hazard quotient analysis revealed that 72.4% of residents using wells in the 20-50 m zone experienced non-carcinogenic risk above the acceptable threshold (HQ > 1). View evidence ↗

      What they found

      Hazard quotient analysis revealed that 72.4% of residents using wells in the 20-50 m zone experienced non-carcinogenic risk above the acceptable threshold (HQ > 1).

      In the paper's own words

      “A hazard quotient analysis indicated that 72.4% of residents in the 20-50 m well zone faced non-carcinogenic risk above the acceptable threshold (HQ > 1).”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Gastrointestinal complaints were more frequent in high-arsenic zones (12.4 per 1,000) than in low-arsenic zones (4.8 per 1,000), with a risk ratio of 2.58. View evidence ↗

      What they found

      Gastrointestinal complaints were more frequent in high-arsenic zones (12.4 per 1,000) than in low-arsenic zones (4.8 per 1,000), with a risk ratio of 2.58.

      In the paper's own words

      “GI complaints (/1000) 12.4 4.8 2.58 <0.001”

      Page 2

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 2 ↗
    • Neurological complaints occurred at a rate of 8.3 per 1,000 in high-arsenic zones compared to 2.1 per 1,000 in low-arsenic zones. View evidence ↗

      What they found

      Neurological complaints occurred at a rate of 8.3 per 1,000 in high-arsenic zones compared to 2.1 per 1,000 in low-arsenic zones.

      In the paper's own words

      “Neurological (/1000) 8.3 2.1 3.95 0.002”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  4. What it means

    • The authors conclude that the most effective immediate interventions are to install new wells at depths greater than 50 m and prioritize arsenic removal for existing wells in the intermediate depth range. View evidence ↗

      What it means

      The authors conclude that the most effective immediate interventions are to install new wells at depths greater than 50 m and prioritize arsenic removal for existing wells in the intermediate depth range.

      In the paper's own words

      “Targeting deep wells (>50 m) for new installations and prioritising arsenic removal for existing intermediate-depth wells are the most effective near-term interventions.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The authors recommend routine screening for early skin changes in populations using wells in the 20-50 m zone to detect arsenicosis early. View evidence ↗

      What it means

      The authors recommend routine screening for early skin changes in populations using wells in the 20-50 m zone to detect arsenicosis early.

      In the paper's own words

      “community health monitoring should include routine screening for early skin changes in populations served by wells in the 20-50 m zone, enabling early detection before more severe arsenicosis develops”

      Page 3

      Found in: Practical Applications

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Bengal floodplain soil and groundwater cross-section). It explains the idea and does not show study data.↗ Enlarge
Depth-Dependent Arsenic Profile
AI-generated conceptual illustration (Bengal floodplain soil and groundwater cross-section). It explains the idea and does not show study data.

AI-generated conceptual illustration (Bengal floodplain soil and groundwater cross-section). It explains the idea and does not show study data.

Open full-size image ↗

Depth-Dependent Arsenic Profile

AI-generated conceptual illustration (Bengal floodplain soil and groundwater cross-section). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
> WHO (%): < 20 m vs 20-50 m vs > 50 m
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

> WHO (%): < 20 m vs 20-50 m vs > 50 m

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
High As Zone and Low As Zone: Skin lesions (/1000) vs GI complaints (/1000) vs Neurological (/1000)
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

High As Zone and Low As Zone: Skin lesions (/1000) vs GI complaints (/1000) vs Neurological (/1000)

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Arsenic and iron concentrations by well depth zoneTable 1Page 2Health indicators by arsenic exposure zoneTable 2Page 2Arsenic and iron concentration profiles with depth across 284 sampled tube wellsFigure 1Page 2Distribution of arsenic-related health complaints by category in high-exposure zonesFigure 2Page 2
FULL TEXT Original article · reflowed for reading

Introduction

The observation that millions of people were being slowly poisoned by their own drinking water wells emerged in the early 1990s, when researchers in Bangladesh and West Bengal began connecting widespread skin lesions and cancers to arsenic in shallow groundwater [1,2] . Three decades later, the Bengal floodplain remains the largest mass poisoning event in human history, affecting an estimated 35-77 million people across Bangladesh and eastern India [3,4] . Arsenic enters groundwater through reductive dissolution of iron oxyhydroxide minerals in the alluvial sediments. As organic matter decomposes under anaerobic conditions, iron (III) is reduced to iron (II), releasing adsorbed arsenic into solution [5,6] . This process is most active in the grey, reducing sediments found at intermediate depths (15-45 m), while deeper aquifers hosted in oxidised brown sands typically contain arsenic below guideline levels [7,8] . Earlier research documented the broad geographic pattern of contamination [9,10] , but fewer investigations linked depth-specific geochemistry directly to spatially matched health outcome data at the community level [11] . This research addressed that gap by sampling wells across three depth zones and comparing geochemical results with health complaint records from community centres serving the same populations.

Ethical Considerations

This research received ethical clearance from the Centre for Terrain Studies Ethics Committee, Cali (Protocol CTS-EC-2020-031, approved February 2020). Community health centre records were accessed with permission from district health authorities and anonymised before analysis. Well owners provided verbal consent for water sampling. Results indicating arsenic levels above WHO guidelines were communicated to local health officials and affected households through village information sessions.

Material and Methods

Material and Methods

Material

This research was conducted at the Department of Geology, Centre for Terrain Studies, Cali, Valle del Cauca, Colombia, from March 2020 to December 2023. Water samples were collected from 284 tube wells across three districts of the Bengal floodplain during four sampling campaigns (premonsoon and post-monsoon, 2021 and 2022). Wells were classified by depth: shallow (<20 m, n = 94), intermediate (20-50 m, n = 112), and deep (>50 m, n = 78). Field parameters (pH, Eh, dissolved oxygen, electrical conductivity) were measured using a YSI ProDSS multiparameter probe. Health data were extracted from registers at 12 community health centres for the period 2018-2022.

Methods

Arsenic speciation (As(III) and As(V)) was determined by hydride generation atomic absorption spectrometry (HG-AAS) on a Varian SpectrAA 220. Iron, manganese, and phosphate were measured by ICP-OES. Samples were filtered (0.45 μm) and preserved with HNO₃ in the field. Non-carcinogenic health risk was assessed using the USEPA hazard quotient (HQ = CDI/RfD) method, where chronic daily intake (CDI) was calculated assuming 2 L/day consumption and 70 kg body weight, and the reference dose (RfD) for arsenic was 0.0003 mg/kg/day. Spatial interpolation of arsenic concentrations used ordinary kriging in ArcGIS 10.8. Statistical analysis used Kruskal-Wallis tests for depth zone comparisons and Spearman correlation for arsenic-health relationships, computed in R 4.2.1.

Results

Results

Comprehensive Interpretation

Arsenic concentrations peaked in the 20-50 m zone (mean 287.6 μg/L), with 64.8% of wells exceeding the WHO limit (Table 1). The depth profile (Figure 1) shows arsenic and iron peaking together at 25 m, supporting reductive dissolution as the mobilisation mechanism. Health impacts were strongly stratified by exposure: skin lesion prevalence was 5.8 times higher in high-arsenic zones (Table 2). Skin lesions accounted for 34.7% of all arsenic-related complaints (Figure 2). Over 72% of residents using intermediate-depth wells face unacceptable noncarcinogenic risk (HQ > 1).

Figure 2. Distribution of arsenic-related health complaints by category in high-exposure zones
Distribution of arsenic-related health complaints by category in high-exposure zones↗ Enlarge
Figure 2
Distribution of arsenic-related health complaints by category in high-exposure zones

Distribution of arsenic-related health complaints by category in high-exposure zones

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 1. Arsenic and iron concentration profiles with depth across 284 sampled tube wells
Arsenic and iron concentration profiles with depth across 284 sampled tube wells↗ Enlarge
Figure 1
Arsenic and iron concentration profiles with depth across 284 sampled tube wells

Arsenic and iron concentration profiles with depth across 284 sampled tube wells

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 2. Health indicators by arsenic exposure zone
IndicatorHigh As ZoneLow As ZoneRisk Ratiop- value
Skin lesions (/1000)18.73.25.84<0.001
GI complaints (/1000)12.44.82.58<0.001
Neurological (/1000)8.32.13.950.002
HQ > 1 (% pop)72.411.3—<0.001

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Health indicators by arsenic exposure zone↗ Enlarge
Table 2
Health indicators by arsenic exposure zone

Health indicators by arsenic exposure zone

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Table 1. Arsenic and iron concentrations by well depth zone
Arsenic and iron concentrations by well depth zone↗ Enlarge
Table 1
Arsenic and iron concentrations by well depth zone

Arsenic and iron concentrations by well depth zone

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

Discussion

The depth-dependent pattern we documented matches the model proposed by Harvey and colleagues [8] and Fendorf and colleagues [6] : organic-rich grey sediments at intermediate depths create the reducing conditions that mobilise arsenic from iron oxyhydroxide surfaces. The sharp drop in arsenic below 50 m reflects the transition to oxidised brown sands of Pleistocene age that retain arsenic on mineral surfaces [12,13] .

The health data add an important dimension. Earlier research established the arsenic-disease link through cohort studies [2,14] , but our community-level comparison shows that the risk gradient between high and low exposure zones is steeper than many policy documents assume. The 5.8-fold difference in skin lesion rates between zones separated by just a few kilometres underscores the spatial precision needed in mitigation targeting [15,16] .

Practical Applications

Three actions emerge from these findings. First, new wells should target depths below 50 m wherever the deeper aquifer is accessible and productive. Second, existing intermediate-depth wells serving communities with HQ > 1 should be prioritised for arsenic removal treatment or replacement. Third, community health monitoring should include routine screening for early skin changes in populations served by wells in the 20-50 m zone, enabling early detection before more severe arsenicosis develops [17,18] .

Conclusion

This research confirmed that arsenic contamination in the Bengal floodplain peaks in the 20-50 m depth zone, where reductive dissolution of iron oxyhydroxides releases arsenic into groundwater. Health impacts in high-arsenic zones are severe, with skin lesion prevalence nearly six times higher than in low-arsenic areas. Targeting deep wells (>50 m) for new installations and prioritising arsenic removal for existing intermediate-depth wells are the most effective near-term interventions.

Acknowledgement

AcknowledgementsFunding Sources: Supported by institutional research allocations for medical geography and hydrogeology.Institutional Support: Centre for Terrain Studies, Cali, provided laboratory and analytical facilities. Contributions Not Qualifying for AuthorshipThanks to community health centre staff for providing anonymised health records.

References

18 in the original paper
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