| Literature DB >> 23343979 |
Jia-Qian Jiang1, S M Ashekuzzaman, Anlun Jiang, S M Sharifuzzaman, Sayedur Rahman Chowdhury.
Abstract
Arsenic (As) causes health concerns due to its significant toxicity and worldwide presence in drinking water and groundwater. The major sources of As pollution may be natural process such as dissolution of As-containing minerals and anthropogenic activities such as percolation of water from mines, etc. The maximum contaminant level for total As in potable water has been established as 10 µg/L. Among the countries facing As contamination problems, Bangladesh is the most affected. Up to 77 million people in Bangladesh have been exposed to toxic levels of arsenic from drinking water. Therefore, it has become an urgent need to provide As-free drinking water in rural households throughout Bangladesh. This paper provides a comprehensive overview on the recent data on arsenic contamination status, its sources and reasons of mobilization and the exposure pathways in Bangladesh. Very little literature has focused on the removal of As from groundwaters in developing countries and thus this paper aims to review the As removal technologies and be a useful resource for researchers or policy makers to help identify and investigate useful treatment options. While a number of technological developments in arsenic removal have taken place, we must consider variations in sources and quality characteristics of As polluted water and differences in the socio-economic and literacy conditions of people, and then aim at improving effectiveness in arsenic removal, reducing the cost of the system, making the technology user friendly, overcoming maintenance problems and resolving sludge management issues.Entities:
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Year: 2012 PMID: 23343979 PMCID: PMC3564129 DOI: 10.3390/ijerph10010018
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Arsenic (As) concentrations in groundwater of Bangladesh, showing all 64 districts under seven administrative divisions. N = 52,202 tubewells samples; where n = 6,787, 11,814, 12,169, 1,101, 5,999, 13,597 and 735 were representative samples of Rangpur, Rajshahi, Khulna, Barisal, Chittagong, Dhaka and Sylhet divisions, respectively (data source: [19]).
Major As contaminated districts with >50% analyzed samples exceeding Bangladesh guideline value (50 µg/L) [19].
| Division | District (number of sampled wells in parenthesis) | Severely affected with As concentration ≥100 µg/L (% samples) |
|---|---|---|
| Khulna | Bagherhat (371), Narail (371), Satkhira (532) | Satkhira (~70%) |
| Barishal | Barisal (803) | Barisal (~59%) |
| Sylhet | Sunamganj (89) | * |
| Dhaka | Gopalganj (384), Madaripur (2,309), Munshiganj (151), Narayanganj (412) | Munshiganj (~80%) |
| Narayanganj (~68%) | ||
| Chittagong | Brahmanbaria (47), Chandpur (1,165), Comilla (545), Lakshmipur (2,662), Noakhali (843) | Chandpur (~90%) |
| Lakshmipur (~70%) | ||
| Noakhali (~85%) | ||
| Comilla (~69%) |
* The percentage of analyzed samples in the given region was less than 50% for exceeding Bangladesh guideline value (50 µg/L).
Average groundwater composition of the most As contaminated areas* in the Bengal Delta Plain (BDP) in Bangladesh.
| Aqueous parameters | Measured range+ ( | |
|---|---|---|
| Shallow aquifer (10–69 m), N = 89 | Deep aquifer (70–260 m), N = 34 | |
| pH | 6.4–7.9 ( | 6.5–7.3 ( |
| EC (µS/cm) | 410–3,650 ( | 317–3,410 ( |
| ORP (mV) | +95 to −2 ( | 24–90 ( |
| DO (mg/L) | <0.1–2.1 ( | <0.1, n = 9 |
| Na+ (mg/L) | 8–480 ( | 7.9–280 ( |
| K+ (mg/L) | 2.4–20 ( | 3.2–26.1 ( |
| NH4+ (mg/L) | 0.7–19.9 ( | 0.1–10.3 ( |
| Ca2+ (mg/L) | 12–174.1 ( | 7–211 ( |
| Mg2+ (mg/L) | 11–105.7 ( | 14–110 ( |
| HCO3− (mg/L) | 220–931.4 ( | 184–697 ( |
| Cl− (mg/L) | 1.9–695 ( | 1.5–797 ( |
| NO3− (mg/L) | <0.03–5.9 ( | <0.03–7.1 ( |
| SO42− (mg/L) | <0.01–34 ( | <0.01–46 ( |
| PO43− (mg/L) | 0.46–15 ( | 0.05–5.5 ( |
| As (µg/L) | 22–1,000 ( | 0.2–170 ( |
| Fe (mg/L) | 0.06–22.2 ( | 0.01–17.5 ( |
| Mn (mg/L) | 0.02–2 ( | 0.06–2.9 ( |
| DOC (mg/L) | 0.64–15 ( | 0.2–12 ( |
EC = electrical conductivity, ORP = oxidation reduction potential, DO = dissolved O2, DOC = dissolved organic carbon, SD = standard deviation; * The sample locations include the As-affected areas under the districts of Noakhali (n = 2), Magura (n = 2), Brahmanbaria (n = 7), Laksmipur (n = 10), Munshiganj (n = 31), Faridpur (n = 11), Chandpur (n = 23), Narayanganj (n = 35) and Jhenaida (n = 2) along the eastern margin of the Bengal Basin (Padma-Meghna sub-basin, N = 123); + Data source: [16,37,41,43,44]; ++ Values calculated based on the mentioned data source.
Figure 2Flow chart of arsenic (As) intake by human (after [51]).
Arsenic contents (μg/kg) in food composites from different countries.
| Foodstuffs | Total As (μg/kg) | Reference |
|---|---|---|
|
| ||
|
| ||
| Bangladesh a | (70–3,990) | [ |
| Bangladesh | 54.5 (<5–540) | [ |
| Europe | (<5–87) | [ |
| UK (Food Standards Agency) | 2 for green vegetables | [ |
| 4.9 for other vegetables | ||
|
| ||
| Australia | 30 (20–40) | [ |
| Bangladesh | 500 (30–1,840) | [ |
| China | 140 (20–460) | [ |
| West Bengal (India) | 140 (20–400) | [ |
| USA | 250 (30–660) | [ |
| Bangladesh a | 496 (58–1,830) | [ |
| Chinaa | 930 | [ |
| West Bengal (India) a | 250 (140–480) | [ |
| 330 (180–430) | [ | |
|
| ||
| Bangladesh b | (214–266) | [ |
| Bangladesh | (97–1318) | [ |
|
| ||
| Bangladesh (Betel leaf) | 45.9 (44.9–46.9) | [ |
a Samples were collected from arsenic-affected area; b Marine species.
Figure 3The community-scale arsenic removal unit (after [21]).
Figure 4Schematic apparatus of reactive sand filtration tower (RSFT) (scale unit: mm) (initial As(III) = 1.0 mg/L, Q = 22.5 mL/min) (after [80]).
Figure 5Comparison of arsenic concentrations in well water and the average arsenic concentration in the filtrate (after [81]).
Figure 6Arsenic uptake of all the investigated materials (raw and iron-doped ACS), as a function of their Fe content [after 84].
Figure 7Raman spectra of (a) AA, (b) hybrid AA before and (c) after As(III) adsorption (after [85]).
Figure 8Removal of As(III) as function of -SH loading in the suspensions containing 1.0 g /L adsorbent. Initial As(III) = 20 mg/L, equilibrium pH 7.0 ± 0.1, equilibrium time = 38 h (after [85]).
Figure 9As concentrations from a column test effluent for the acid mine drainage (AMD) wastewater and groundwater (after [68]).
Figure 10Adsorption efficiency of co-adsorption process; (a) Fe/As system, (b) Mn/As system; MT-kaolin, BT-bentonite (after [91]).
Technologies and treatment efficiencies.
| Treatment Process As(V) | Removal Efficiency * | As concentration in raw water | Ref. |
|---|---|---|---|
|
| |||
| Aeration and filtration | >90% | 300 µg As(III)/L | This review |
| Fe2O3 filter | >95% | 100-400 µg As(III)/L | This review |
| As(III) oxidation by (OCl−) and Fe precipitation | >98% | 300 µg As(III)/L | This review |
|
| |||
| Enhanced lime softening | 90% | [ | |
|
| |||
| With alum | <90% | [ | |
| With ferric chloride | 95% | [ | |
|
| |||
| Iron doped activated carbon | >95% | 311 µg As/L | This review |
| Hybrid activated alumina | >95% | 2–20 mg As/L | This review |
| Iron based sorbents | Up to 98% | [ | |
| Layered double hydroxide (LDH) | Up to 96% | 300 µg As(V)/L | This review |
| Modified zeolites | up to 99% | 100–400 µg As/L | This review |
| Modified clays | Up to 80% | 0.15 µM As | This review |
| Laterite and limonite | Up to 95% | 500 µg As/L | This review |
* depending on source water composition and operating conditions.