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Lead (Pb) Contamination in Agricultural Products and Human Health Risk Assessment in Bangladesh

 

Sazal KumarRafiquel IslamPritom Bhowmik AkashMd Hafijur Rahaman KhanRam ProshadJoyanto Karmoker & Geoff R. MacFarlane 

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Water Air and Soil Pollution 233(7):257

DOI: https://doi.org/10.1007/s11270-022-05711-9 

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Lead (Pb) is a widely occurring heavy metal employed in industrial products and hence released into the environment, causing several environmental health risk concerns. This study comprehensively surveyed the literature on Pb contamination in different agricultural foods and food products commonly consumed by Bangladeshi inhabitants and assessed associated cancer and non-cancer health risks. Cereals (i.e., rice, wheat and maize) contained very high concentrations of Pb among the selected food items, the highest was found in wheat (4.04 µg g−1), while rice and maize were 2.22 and 1.43 µg g−1, respectively, that exceeded the maximum allowable concentration (MAC, 0.20 µg g−1) for cereals. Vegetables contained higher Pb than the MAC of 0.01 µg g−1, except for mushroom, green banana, cauliflower and arum. In addition, pulses also contained a moderate amount of Pb; however, fruits contained a low level of Pb, except for mangoes. When examining spatial differences in Pb contamination, most districts exhibited high Pb content in cereals; however, vegetables of the Tangail district exhibited the highest Pb concentrations (2.17 µg g−1), originating from industrial operations and vehicular emissions. In terms of human health risk assessment, it was observed that consumption of rice, zucchini, tesla gourd, sponge gourd, okra, drumstick lib, chili and cabbage might pose non-cancer health risks (THQs > 1); however, fruits and pulses do not pose any non-cancer health risks to Bangladeshi residents. Most of the cereals and vegetables showed a higher value than 10−6, indicating a potential cancer risk; however, fruits and pulses showed lower risk only marginally exceeding the lower allowable limit (i.e., 10−6).

Publication Link: https://link.springer.com/article/10.1007/s11270-022-05711-9 

 

Assessment of Carbon Footprint for the Bricks Manufactured in Bangladesh 

 

Pritom Bhowmik Akash, Md Jahedul Islam, Md. Reaz Akter Mullick

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6th International Conference on Advances in Civil Engineering (ICACE-2022)

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Conference Proceedings: https://link.springer.com/book/9789819938254 

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Awarded the Best Paper Award  in the Category of Environmental Engineering

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To meet the ever-increasing demand for construction materials for various development projects and for the housing of growing population, the brick production trend is always upward. However, emission from brick industries is a significant concern, particularly in a developing country like Bangladesh. Carbon Footprint (CF) is an important and widely used environmental indicator defined as the equivalent carbon dioxide emitted into the environment from the direct or indirect activities linked with the manufacturing process of a product. This study reports a detailed evaluation of CF of brick technologies and compares comprehensive carbon efficiency of different types of kilns currently operating in Bangladesh from the perspective of Carbon Footprint analysis. A field survey of six different types of brick kilns was conducted to collect information regarding fuel, electricity, soil, and water used in various operations of the brick manufacturing process. The assessment was carried out by the Intergovernmental Panel on Climate Change (IPCC) guidelines. Among the four different technologies, two Zigzag kilns showed the lowest CF values, 217.561 gm CO2-eq/kg fired brick and 218.798 gm CO2-eq/kg fired brick, accordingly, for the production of 100,000 bricks. In comparison, the two Fixed-Chimney Kilns (FCK) obtained a higher value of 291.096 gm CO2-eq/kg and 265.547 gm CO2-eq/kg. Despite being the most efficient technology, Tunnel Kiln showed a higher CF value than Hybrid Hoffman Kiln (HHK). Their CF values are 284.170 gm CO2-eq/kg fired brick and 266.795 gm CO2-eq/kg fired brick, respectively. This study also identified HHK with the lowest CF value of 203.768 gm CO2-eq/kg if fired with natural gas. Being the pioneer in carbon footprint study of the brick industry of Bangladesh as per the authors’ knowledge, this paper aims to help policymakers taking appropriate policy interventions to progress specifically in the implementation of the Sustainable Development Goal 10, i.e., take urgent action to combat climate change and its impacts.

Publication Link: https://icacecuet.org/proceedings/ 

Pollution status and ecological risk assessment of metal(loid)s in the sediments of the world's largest mangrove forest: A data synthesis in the Sundarbans

 

Sazal Kumar, Pritom Bhowmik Akash, Rafiquel Islam, Geoff R. MacFarlane

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Marine Pollution Bulletin

DOI: https://doi.org/10.1016/j.marpolbul.2022.114514 

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The Sundarbans is the largest single-mass mangrove forest in the world, experiencing environmental and anthropogenic stress from metal(loid) inputs. We undertook a comprehensive assessment of sediment contamination and ecological risks posed by metal(loid)s in the Sundarbans using previously published data. There was a distinct difference in metal(loid) content, pollution level and ecological risk in Bangladeshi and Indian parts of the Sundarbans, with the Indian counterpart experiencing relatively higher metal(loid) pollution. The higher pollution level in India might be attributed to its vicinity to municipal and industrial areas that act the primary source of metal(loid)s in the Sundarbans. The cumulative ecological risks of metal(loid)s pointed out that the south-eastern part of Bangladeshi Sundarbans and north-eastern Indian part are at moderate ecological risk. This research will provide valuable data to inform the responsible authorities and will underpin future policies and management to reduce future metal(loid) inputs in the Sundarbans.

Publication Link: https://www.sciencedirect.com/science/article/abs/pii/S0025326X22011961?via%3Dihub

A global meta-analysis of radiological contamination in soils and Monte Carlo simulation-oriented hazards evaluation

 

Ram Proshad, Krishno Chandra, Pritom Bhowmik Akash, S.M. Asharaful Abedin Asha, Shakhboz Khasanov, Artho Baroi, Zhuanjun Zhao, Khalid A. Ibrahim, Abubakr M. Idris  

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Journal of Environmental Chemical Engineering

DOI: https://doi.org/10.1016/j.jece.2023.111603 

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Soil pollution caused by radionuclides has become a global concern. However, previous research has mostly focused on specific sites or limited locations, which may not provide a comprehensive understanding of the overall soil pollution situation worldwide. To address this gap, this study collected and examined data from published articles between 2010 and 2023. The research examined levels of 226Ra, 232 Th, 40K, 238U, and 137Cs in soils globally and used meta-analysis to assess the radiological hazards and health risks associated with radionuclide contamination. The average content of 226Ra, 232Th, 40K, and 238U was significantly higher than the permissible values, by approximately 4.21, 3.80, 1.20, and 9.78 times, respectively. The studied soils were found to have moderate to heavy contamination levels of 226Ra, 232Th, and 238U based on the geoaccumulation index. Additionally, they exhibited heavy contamination with 40K. Several radiological hazard indices, such as the internal hazard index (Hin), absorbed gamma dose rates (Dout and Din), annual effective dose rates (Eaed out and Eaed in), activity utilization index (AUI), and excess lifetime cancer risk (ELCRout and ELCRin), were higher than recommended limits. Monte Carlo simulation-based analysis revealed elevated radiological risks, with the 95th percentile values for Raeq, Dout, Din, ELCRout, and ELCRin exceeding respective threshold values. These findings provide valuable insights for policymakers to develop effective strategies for minimizing global exposure to radionuclides in soil.

Publication Link: https://www.sciencedirect.com/science/article/pii/S2213343723023424

Participation in Case Competition 

​National STEM Competition 2021

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  Project Title: Toward Water Smart Chattogram City 

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  Team Name: CUET_SMART

  Team Leader: Pritom Bhowmik Akash​

  Team Supervisor: Prof. Dr. Aysha Akter​

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Project Link: https://drive.google.com/file/d/1pzED9-m1Iq-KmRpWU9i-lxJCA6ZZQjHM/view?usp=sharing

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Ongoing Research Works

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  • Assessment of Carbon Footprint of Potable Water Production: A Case from Bangladesh

       (Under Review)

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  • Exploring Potential Human Health Risks Linked to Metal(oid)s Through Dietary Fish Consumption in Bangladeshis: Dataset Driven and Computational Modeling Approach 

       (Under Review)

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  • Performance Assessment of a Public Water Supply Provider: A Case Study from a Densely Populated City in Bangladesh

       (Under Review)

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  • Analyzing the Physical Parameters of Supplied Water of CWASA: Before and After Treatment Scenario 

       (Paper presented in ICNST 2023)

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  • Upgrading the Pattern of Plastic Waste Management in Bangladesh: A Lesson from Germany

       (Paper presented in ICNST 2023)

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