Geospatial Visualization and Ecological Risk Assessment of Heavy Metals in Rice Soil of a Newly Developed Industrial Zone in Bangladesh

Mahmuda Akter, Mohammad Humayun Kabir, Mohammad Ashraful Alam, Hammadullah Al Mashuk, Mohammad Mizanur Rahman, Mohammad Saiful Alam, Graham Brodie, S. M. Mofijul Islam, Yam Kanta Gaihre and Golum Kibria Muhammad Mustafizur Rahman ()
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Mahmuda Akter: Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
Mohammad Humayun Kabir: Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
Mohammad Ashraful Alam: Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
Hammadullah Al Mashuk: Soil Science Division, Bangladesh Agricultural Research Institute (BARI), Gazipur 1700, Bangladesh
Mohammad Mizanur Rahman: Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
Mohammad Saiful Alam: Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh
Graham Brodie: School of Engineering and Physical Sciences, James Cook University, Townsville, QLD 4811, Australia
S. M. Mofijul Islam: Soil Science Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
Yam Kanta Gaihre: International Fertilizer Development Center, Muscle Shoals, AL 35661, USA
Golum Kibria Muhammad Mustafizur Rahman: Department of Soil Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur 1706, Bangladesh

Sustainability, 2023, vol. 15, issue 9, 1-14

Abstract: With rapid industrialization in Gazipur areas of Bangladesh, untreated industrial effluents have been polluting rice soils which could exert potential ecological risk. Therefore, four different types of industries including chemical (SL), textile and paints (MIX), dyeing (CK), and sweater and dyeing (RD) were selected to monitor the intensity of heavy metal pollution in rice soils and ecological risk assessment. The di-acid digestion method was used for the determination of Pd, Cd, and Ni, and the DTPA extraction method was used for Fe, Zn, and Cu. ArcGIS was used to visualize the spatial patterns of heavy metal pollution, and different pollution indices were calculated to assess the ecological risk. The highest concentration (mg kg −1 ) of Cd (0.72), Pb (104.20), and Ni (5.02) was found in soils of the MIX industrial area. The highest concentration (mg kg −1 ) of Fe (147.65) and Zn (11.27) was found in the SL industry, while the highest Cu (7.67) was found in the CK industry. It was evident from the spatial distribution that the soils of paddy fields adjacent to the different industries are more contaminated than background soil. Although the potential ecological risk of heavy metal was low, different pollution indices indicated low to high pollution. Thus, the adjacent rice field soil of different industries is being contaminated by different heavy metals which may raise ecological risk.

Keywords: paddy soil; contaminants; anthropogenic; pedogenic; di-acid digestion; DTPA extraction; pollution index; spatial distribution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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