| Literature DB >> 34189313 |
Shudeepta Sarker1, Md Ahedul Akbor1, Aynun Nahar1, Mehedi Hasan1, Abu Reza Md Towfiqul Islam2, Md Abu Bakar Siddique1.
Abstract
Pesticides are chemical compounds used worldwide for different purposes. These chemicals are well known for their long life, high toxicity, and slow degradation process. Many developed countries including South Asian countries banned the use of pesticides for their adverse effects. However, several pesticides are found incessantly in water and soil. To highlight the recent situation of pesticide contamination in South Asian river systems, we have studied 136 relevant articles published from 2015 to 2020. Articles were gathered using several commonly available search engines and organized according to information related to river systems of South Asian countries. After thoroughly examining those research articles, we summarized that most of the river systems are contaminated by pesticides, where DDTs, HCHs, endosulfan, heptachlor, and chlorpyrifos are the key recognized compounds among them. Comparing the level of pesticides with standard guidelines, we found that the Tapi River and Chilika Lake of India are considerably more contaminated than other river basins. Multivariate analyses identified the industrial discharge and agricultural run-off of chemicals as the probable sources of pesticides in these rivers. By analyzing the amount of annual pesticide production, their use, and accordingly their considerable presence in the water systems of the South Asian countries, it is evident that the banned pesticides are used regularly by these countries and thus contaminating the environment. Therefore, the formulations of appropriate rules and their enforcement to control the manufacture and solicitation of such pesticides are an urgent need to save the environment.Entities:
Keywords: Environmental contamination; Literature review; Pesticides; River systems; South Asia; Water and sediments
Year: 2021 PMID: 34189313 PMCID: PMC8220188 DOI: 10.1016/j.heliyon.2021.e07270
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Figure 1Map of South Asian countries with major river systems.
Figure 2Flow diagram for the identification, exclusion, and inclusion (or selection) of the relevant studies considered in the review along with the processing steps of the information and data reported in the articles.
Level of pesticides in the water and sediment of the considered South Asian river systems.
| Pesticides | South Asian countries | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| India | Pakistan | India | Pakistan | ||||||
| Concentrations (μg L−1) of pesticides in the river/lake water | Concentrations (ng g−1) of pesticides in the river sediment | ||||||||
| Brahmaputra River | Chilika Lake | Tapi River | Hooghly River | Kabul River | Indus River | Tapi River | Hooghly River | Indus River | |
| α-HCH | 0.001 ± 0.002 | 0.025–0.265 | - | 0.003 ± 0.005 | - | 0.018 ± 0.008 | - | 0.06 | 1.01 ± 0.10 |
| β-HCH | 0.0004 ± 0.002 | - | - | 0.003 ± 0.006 | - | 0.022 ± 0.007 | - | 0.01 | 0.89 ± 0.27 |
| γ-HCH | 0.006 ± 0.007 | 0.03–6.08 | - | 0.013 ± 0.008 | - | 0.0019 ± 0.0003 | - | 0.07 | 0.49 ± 0.18 |
| δ-HCH | 0.001 ± 0.003 | 0.05–0.26 | - | 0.019 ± 0.033 | - | 0.003 ± 0.001 | - | 0.06 | 0.89 ± 0.08 |
| Ɛ-HCH | - | - | - | - | - | - | - | 0.02 | - |
| ∑HCHs | 0.008 ± 0.008 | - | - | 0.003 ± 0.028 | - | 0.045 ± 0.010 | - | - | - |
| o,p'-DDD | - | 8.99–23.4 | - | - | - | 0.008 ± 0.005 | - | 0.09 | 1.10 ± 0.47 |
| p,p'-DDD | 0.014 ± 0.033 | - | - | - | - | 0.009 ± 0.006 | - | 0.08 | 1.44 ± 0.53 |
| o,p'-DDE | - | 0.116 | - | - | - | 0.013 ± 0.010 | - | 0.29 | 2.10 ± 0.56 |
| p,p'-DDE | - | 0.017–0.062 | - | - | - | 0.017 ± 0.013 | - | 1.60 | 1.96 ± 0.97 |
| o,p'-DDT | 0.015 ± 0.034 | - | - | 0.003 ± 0.008 | - | 0.011 ± 0.009 | - | 0.39 | 1.52 ± 0.74 |
| p,p'-DDT | 0.001 ± 0.002 | - | - | 0.0003 ± 0.001 | - | 0.016 ± 0.012 | - | 0.17 | 1.54 ± 0.86 |
| ∑DDTs | 0.030 ± 0.066 | - | 0.11 ± 0.58 | 0.004 ± 0.008 | - | 0.074 ± 0.004 | 0.17 ± 0.58 | 2.62 | - |
| HCB | - | - | - | - | - | 0.002 ± 0.001 | - | 0.19 | 0.05 ± 0.04 |
| Cis-Chlordane | - | - | - | - | - | 0.001 ± 0.000 | - | - | 0.03 ± 0.02 |
| Trans-Chlordane | - | - | - | - | - | 0.007 ± 0.004 | - | - | 1.09 ± 0.31 |
| Heptachlor | 0.001 ± 0.003 | 0.04–1.0 | - | 0.014 ± 0.006 | - | 0.014 ± 0.009 | - | - | 0.83 ± 0.54 |
| Aldrin | 0.0003 ± 0.001 | - | - | 0.004 ± 0.004 | - | - | - | - | - |
| Dieldrin | 0.004 ± 0.006 | - | - | 0.0004 ± 0.002 | - | - | - | - | - |
| ∑Aldrin | 0.004 ± 0.006 | - | - | 0.004 ± 0.004 | - | - | - | - | - |
| α-Endosulfan | 0.001 ± 0.002 | - | 3.23 ± 7.08 | - | - | - | 2.01 ± 2.70 | - | - |
| β-Endosulfan | 0.003 ± 0.011 | - | 4.51 ± 8.16 | 0.002 ± 0.004 | - | 0.0007 ± 0.0005 | 3.05 ± 5.04 | - | 0.03 ± 0.01 |
| ∑Endosulfan | 0.003 ± 0.013 | - | - | 0.002 ± 0.004 | - | - | - | - | |
| ∑OCPs | 0.047 ± 0.067 | - | - | 0.062 ± 0.035 | - | 0.143 ± 0.052 | - | - | 14.83 ± 2.95 |
| Chlorpyrifos | - | 0.019–2.730 | 0.09 ± 0.18 | - | 0.009 ± 0.003 | 0.007 ± 0.000 | 0.01 ± 0.03 | - | - |
| Dichlorvos | - | 0.647 | - | - | - | - | - | - | |
| Methyl parathion | - | - | 0.09 ± 0.16 | - | - | - | 0.18 ± 0.27 | - | - |
| Methomyl | - | - | - | - | 5.50 ± 3.90 | 0.20 ± 0.03 | - | - | - |
| Carbaryl | - | - | - | - | 0.001 ± 0.000 | 0.001 ± 0.001 | - | - | - |
| Carbofuran | - | - | - | - | 0.003 ± 0.003 | 0.005 ± 0.001 | - | - | - |
| Triclosan | - | - | - | - | 0.002 ± 0.001 | 0.002 ± 0.001 | - | - | - |
| Caffeine | - | - | - | - | 30.2 ± 28.3 | 8.0 ± 0.2 | - | - | - |
| References | [ | [ | [ | [ | [ | [ | [ | [ | [ |
No reportable works were found for the pesticides level in the river system of other South Asian countries such as Nepal, Bangladesh, Afghanistan, Bhutan, Maldives, and Sri Lanka during the considered time periods. N.B.: The values written after ‘±’ symbol is the standard deviation. ‘-’ means results are not reported or not detectable.
Comparison of the concentrations (μg L−1) of some common pesticides in the water of the considered South Asian river systems with those of some standard guidelines.
| Pesticides | Rivers of India | Rivers of Pakistan | Standard Guidelines | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brahmaputra River | Chilika Lake | Tapi River | Hoogly River | Indus River | Kabul River | USEPA, AV | WHO, GV | USA, MCL | AUS, HV | NZ, MAV | |
| Aldrin | 0.005 | - | - | 0.009 | - | - | 0.36 | 0.03 | - | 0.03 | - |
| Dieldrin | 0.019 | - | - | 0.007 | - | - | 0.36 | 0.03 | - | 0.03 | - |
| Carbaryl | - | - | - | - | 0.001 | 0.001 | - | - | - | 30.0 | - |
| Carbofuran | - | - | - | - | 0.005 | 0.003 | - | 7.0 | 40 | 10.0 | 8.0 |
| Chlorpyrifos | - | 2.73 | 0.27 | - | 0.007 | 0.009 | 0.083 | - | 2.0 | - | 70.0 |
| ∑Chlordane | - | - | - | - | 0.008 | - | 2.40 | 0.20 | - | 1.0 | - |
| Dichlorvos | - | 0.65 | - | - | - | - | - | - | - | 1.0 | - |
| ∑DDTs | 0.225 | 23.58 | 3.15 | 0.026 | 0.074 | - | 1.10 | 2.0 | - | 20.0 | 2.0 |
| ∑Endosulfan | 0.053 | - | 14.18 | 0.010 | 0.001 | - | 0.22 | - | 0.20 | 30.0 | - |
| Heptachlor | 0.010 | 1.00 | - | 0.026 | 0.014 | - | 0.52 | 0.03 | 0.40 | 0.30 | 0.04 |
| ∑HCHs | 0.022 | 6.60 | - | 0.114 | 0.045 | - | 2.00 | - | 0.20 | 20.0 | 2.0 |
| HCB | - | - | - | - | 0.002 | - | 6.00 | 1.0 | 1.0 | - | 1.0 |
| Methomyl | - | - | - | - | 0.200 | 5.50 | - | - | - | - | - |
N.B.: AV = Acute Value, GV = Guideline Value, MCL = Maximum Contaminant Level, MAV = Maximum Acceptable Value, HV = Health Value. USEPA (United State Environmental Protection Agency) [79, 80], WHO (World Health Organization) [79, 81], USA (United States of America) [79], AUS (Australia) [79, 82], NZ (New Zealand) [79, 83].
Figure 3Graphical representation of the concentrations (μg L−1) of some common pesticides in water of the considered South Asian river systems.
Figure 4Principal component analysis by scree plot of the characteristic roots (eigen values) and component plot in rotated space for (a) the reported pesticides in water and (b) the considered river systems of South Asia.
Varimax rotated factor loadings and communalities of the common pesticides in water and the considered sampling rivers in South Asian countries (strong loadings are in bold face).
| Pesticides (R-mode) | PC1 | PC2 | PC3 | PC4 | Communalities |
|---|---|---|---|---|---|
| Aldrin | -0.332 | -0.339 | -0.363 | -0.707 | 0.856 |
| Dieldrin | -0.313 | -0.316 | -0.348 | -0.695 | 0.802 |
| Carbaryl | -0.224 | 0.669 | 0.704 | 0.082 | 1.000 |
| Carbofuran | -0.204 | 0.473 | 0.075 | 1.000 | |
| Chlorpyrifos | -0.121 | -0.081 | 0.105 | 1.000 | |
| ∑Chlordane | -0.115 | -0.083 | 0.043 | 1.000 | |
| Dichlorvos | -0.091 | -0.048 | 0.019 | 1.000 | |
| ∑DDTs | -0.133 | -0.100 | 0.130 | 1.000 | |
| ∑Endosulfan | -0.263 | -0.300 | -0.350 | 0.998 | |
| Heptachlor | -0.086 | -0.058 | 0.003 | 1.000 | |
| ∑HCHs | -0.090 | -0.054 | 0.010 | 1.000 | |
| HCB | -0.115 | -0.083 | 0.043 | 1.000 | |
| Methomyl | -0.174 | -0.108 | 0.063 | 1.000 | |
| Eigenvalue | 5.756 | 3.765 | 1.691 | 1.444 | |
| % of total variance | 40.893 | 26.951 | 16.058 | 13.441 | |
| Cumulative % of variance | 40.893 | 67.845 | 83.902 | 97.343 |
Figure 5Dendrogram obtained by hierarchical cluster analysis for (a) the reported common pesticides in water and (b) the considered river systems of South Asia.