Literature DB >> 33297265

Enrichment, sources and ecological risk mapping of heavy metals in agricultural soils of dhaka district employing SOM, PMF and GIS methods.

Mohammad Amir Hossain Bhuiyan1, Shamal Chandra Karmaker2, Md Bodrud-Doza3, Md Abdur Rakib4, Bidyut Baran Saha5.   

Abstract

Rapid urbanization and industrial growth have triggered heavy metal contamination in agricultural soil in Dhaka, which is a serious concern for ecological risk and public health issues. In this study, fifty-four soil samples from agricultural lands of Dhaka had been analyzed for assessing accumulation, spatial enrichment, ecological risk and sources apportionment of heavy metals using a combined approach of self-organizing map (SOM), positive matrix factorization (PMF), geographical information system (GIS), and enrichment factor (EF). The results of the enrichment factor, geoaccumulation index and contamination factor index showed that more than 90% of the soil samples were polluted by higher levels of Cr and Cd. The mean pollution load index (PLI) results demonstrated that about 73% of soil samples were moderately polluted by heavy metals. Based on SOM and PMF analysis, four potential sources of heavy metals were found in this study area: (i) agrochemical and sewage irrigation (Cd-As); (ii) combined effect of agriculture, industrial and natural sources (Mn, Co, Ni and Zn); (iii) atmospheric deposition and industrial emission (As-Pb); (iv) chemical and leather tanning industries (Cr). The ecological risk index demonstrated that in terms of Cd content, about 75% of soil samples were moderate to high risk, and 20% were moderate to considerable ecological risk, which was the serious environmental, ecological, and public health concern. The spatial projection of ecological risk values showed that the southern part of Dhaka (Keraniganj Upazila) is a high ecological risk in terms of heavy metal pollution. These risk maps in agricultural soils may play a vital role in reducing pollution sources; so that zonal pollution control, as well as ecological protection, may be achieved in this resource-based agricultural land.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ecological risk index; Heavy metals; PMF; Pollution load index; SOM

Mesh:

Substances:

Year:  2020        PMID: 33297265     DOI: 10.1016/j.chemosphere.2020.128339

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  4 in total

1.  A geostatistical approach to estimating source apportionment in urban and peri-urban soils using the Czech Republic as an example.

Authors:  Prince Chapman Agyeman; Kingsley John; Ndiye Michael Kebonye; Luboš Borůvka; Radim Vašát; Ondřej Drábek
Journal:  Sci Rep       Date:  2021-12-08       Impact factor: 4.379

2.  Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression.

Authors:  Prince Chapman Agyeman; Ndiye Michael Kebonye; Kingsley John; Luboš Borůvka; Radim Vašát; Olufadekemi Fajemisim
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

3.  Geophysical and contamination assessment of soil spatial variability for sustainable precision agriculture in Omu-Aran farm, Northcentral Nigeria.

Authors:  O T Kayode; A P Aizebeokhai; A M Odukoya
Journal:  Heliyon       Date:  2022-02-17

4.  Effect Mechanism of Land Consolidation on Soil Bacterial Community: A Case Study in Eastern China.

Authors:  Yaoben Lin; Yanmei Ye; Shuchang Liu; Jiahao Wen; Danling Chen
Journal:  Int J Environ Res Public Health       Date:  2022-01-13       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.