Distribution, source identification and potential ecological risk of heavy metals in surface sediments of the Mongla port area, Bangladesh

Chakraborty, Tapos Kumar; Hossain, Md. Ripon; Ghosh, Gopal Chandra; Ghosh, Prianka; Sadik, Arifus; Habib, Ahsan; Zaman, Samina; Kabir, A. H. M. Enamul; Khan, Abu Shamim; Rahman, Md. Mizanur

doi:10.1080/15569543.2021.1942065

Cited by 27 publications

(23 citation statements)

References 49 publications

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“…The EF is a standardized technique that is frequently used to classify the metal concentrations related to soils [42] , [15] . The highest value of EFs was found for Cd (24.74) and the lowest values for Cr (0.53) indicate that the studied metals were minimal to enrich soil significantly.…”

Section: Resultsmentioning

confidence: 99%

Receptor model-based sources and risks appraisal of potentially toxic elements in the urban soils of Bangladesh

Chakraborty¹,

Islam²,

Ghosh³

et al. 2023

Toxicology Reports

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Section: Resultsmentioning

confidence: 99%

Receptor model-based sources and risks appraisal of potentially toxic elements in the urban soils of Bangladesh

Chakraborty¹,

Islam²,

Ghosh³

et al. 2023

Toxicology Reports

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“…These EPZs are attracting investment in infrastructure, electricity and utility, and environmental management projects, making the Zones an appealing investment destination (Fakir, Miah, and Hossain 2013). Mongla Export Processing Zone (MEPZ) was established in Mongla in 1998, a coastal thana of Bangladesh which is already famous for its seaport for playing an impactful role in our national economy now facing a serious problem of salinity intrusion, low productivity of agricultural fields, and tidal flooding (Chakraborty et al 2022). Because coastal deltas are dynamic low-lying environments, environmental changes such as relative sea level rise with increasing saltwater intrusion and delta tilting and anthropogenic activities are critical (Mukhopadhyay n.d.).…”

Section: Introductionmentioning

confidence: 99%

Environmental Impact Assessment of Export Processing Zone Using Deep Learning-Based Approach: A Case Study of Mongla EPZ

Ahmed,

Uddin,

Saha

2024

Preprint

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The transformation induced by development in our environment leads to pollution, impacting both human life and economic output. Coastal regions, particularly vulnerable in the era of global climate change, bear significant ecological importance for habitation. The establishment of the Mongla Export Processing Zone in 1998 in the coastal thana of Mongla, Bangladesh, renowned for its seaport, has resulted in pronounced challenges such as salinity intrusion and diminished agricultural fertility. This study, spanning from 2007 to 2023, scrutinizes the influence of land use and land cover (LULC) on the land surface temperature (LST), urban heat island (UHI), normalized difference vegetation index (NDVI), and normalized difference water index (NDWI) in the Mongla EPZ. Employing a deep learning-based Artificial Neural Network (ANN) model, predictions for 2027 and 2031 are derived. A noteworthy finding revolves around settlement dynamics, with virtually no settlement before 2011, experiencing a substantial increase (8.27%) thereafter. The NDWI analysis underscores the region's drought-free status before 2011, evolving into exposure to severe (10.12%) and moderate (15.06%) drought conditions with increased industrialization. The vegetation undergoes an inverse transformation. The mean temperature exhibits an ascending trend due to industrialization, soaring from 18.9°C in 2007 to 21.61°C in 2023. The predictive CA-ANN algorithm anticipates a further rise, projecting a substantial portion of the LST escalating to 27 degrees Celsius, covering an estimated 28.33% of the municipal area by 2031. Additionally, areas with LST values 2°C higher than the surroundings are expected to reach 6.5% by 2031. The study underscores the profound impact of industrialization within EPZs on the surrounding environment and ecosystem.

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“…Several sediment value indicators are used to the evaluation of pollution in an aquatic habitat [ 24 ]. The enrichment factor (EF), contamination factor (CF), and geo-accumulation index (Igeo) quantify sediment pollution [ 23 , 25 , 26 ]. Furthermore, the pollutant load index (PLI) and potential ecological risk index (PERI) have been established to measure the combined hazard of a large number of PTEs in sediment [ 23 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the river receives a considerable amount of untreated industrial wastes, solid wastes, and hazardous pollutants [ 32 ]. Previous studies on metal contamination in the Pasur River did not assess the amount of ecological and public health risk [ 25 , 33 ]. Although a few studies have highlighted the river's ecological danger status [ 23 , 23 ], more extensive study is required to assess the current pollution level.…”

Section: Introductionmentioning

confidence: 99%

Ecological and public health risk assessment of potentially toxic elements in the surface sediments of the Pasur river estuary, Bangladesh

Jewel,

Zinat,

Khatun

et al. 2024

Heliyon

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Distribution, source identification and potential ecological risk of heavy metals in surface sediments of the Mongla port area, Bangladesh

Cited by 27 publications

References 49 publications

Receptor model-based sources and risks appraisal of potentially toxic elements in the urban soils of Bangladesh

Receptor model-based sources and risks appraisal of potentially toxic elements in the urban soils of Bangladesh

Environmental Impact Assessment of Export Processing Zone Using Deep Learning-Based Approach: A Case Study of Mongla EPZ

Ecological and public health risk assessment of potentially toxic elements in the surface sediments of the Pasur river estuary, Bangladesh

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