📍 80/1 Rahmatbagh, Dhaka-1211, Bangladesh 📞 +880 1522 130 689 ✉️ contact@dsd-l.com
FacebookYouTubeLinkedIn
🔭 Active Projects LIVE ✅ Completed 📄 Publications 🌡️ Research Areas 🤝 Collaborators 📂 Data & Resources
Peer-Reviewed Output

Publications & Papers

Peer-reviewed journal articles, conference papers, and technical reports produced by DSD Research Firm researchers and collaborative projects. Click any publication to expand the full abstract, keywords, and citation details.

20+
Publications
8+
Journals
60+
Total Citations
6+
Research Areas
🔍
Type:
Access:
Showing all publications
📝 How to add a new publication (open in Sublime Text):
• Copy a block between <!--PUB START--> and <!--PUB END--> and paste it at the TOP of the correct year section.
• Update: data-year, data-type, data-area, data-access, data-search (keywords for search), all visible text, DOI, abstract, and citation string.
• For a new year: duplicate the entire .year-section div and change the year number and heading.
Hide this note before going live: add display:none to .editor-note.
📄
20+
Total Publications
🔓
8+
Open Access
🔗
60+
Total Citations
🏛️
8+
Journals
🌍
6+
Countries of Co-authors
2023 2 papers
01
Journal Article 🔓 Open Access
Spatial Distribution of Microplastics in the Coastal Sediments of the Bay of Bengal, Bangladesh
Rahman, M.A., Islam, S., Khan, T., Hossain, M.S., & Chen, L. — DSD Research Firm & University of Chittagong
Marine Pollution Bulletin · Volume 185, December 2023 · Pages 114–128
IF: 5.8
Citations: 12
Abstract

This study investigated the spatial distribution, abundance, and polymer composition of microplastics in intertidal and subtidal sediments at 12 sites along the Chittagong coast of the Bay of Bengal. Samples were collected across two seasons and analysed using FTIR spectroscopy. Microplastic abundance ranged from 420 to 1,340 particles per kg dry weight. Fibres were the dominant morphotype (62%), and polyethylene and polypropylene were the most prevalent polymers. A Pollution Load Index was calculated for all sites, with 8 classified as heavily polluted. Results suggest significant inputs from fishing activities, urban runoff, and industrial effluent.

Keywords
MicroplasticsBay of BengalCoastal SedimentFTIR SpectroscopyPollution Load IndexBangladesh
APA Citation
Rahman, M.A., Islam, S., Khan, T., Hossain, M.S., & Chen, L. (2023). Spatial distribution of microplastics in the coastal sediments of the Bay of Bengal, Bangladesh. Marine Pollution Bulletin, 185, 114–128. https://doi.org/10.1016/j.marpolbul.2023.114XXX
02
Journal Article 🔒 Subscription
A GIS-Based Marine Spatial Planning Framework for the Bay of Bengal Exclusive Economic Zone
Islam, F., Hossain, A., Rahman, M., & Wang, X. — DSD Research Firm & Bangladesh Maritime University
Ocean & Coastal Management · Volume 244, October 2023 · Pages 106–121
IF: 4.9
Citations: 7
Abstract

Marine spatial planning (MSP) is an essential tool for coordinating human activities in coastal and marine environments. This study developed the first comprehensive GIS-based MSP framework for Bangladesh's 200-nautical-mile Exclusive Economic Zone. Eighteen spatial data layers were integrated covering fisheries, shipping, biodiversity, energy, and conservation. Six priority conservation zones and four offshore wind energy areas were identified. The framework was submitted to the Bangladesh Department of Fisheries as a policy reference document and contributed to the national Blue Economy Action Plan consultation.

Keywords
Marine Spatial PlanningGISExclusive Economic ZoneBlue EconomyBay of BengalFisheries Management
APA Citation
Islam, F., Hossain, A., Rahman, M., & Wang, X. (2023). A GIS-based marine spatial planning framework for the Bay of Bengal exclusive economic zone. Ocean & Coastal Management, 244, 106–121. https://doi.org/10.1016/j.ocecoaman.2023.106XXX
2022 3 papers
03
Journal Article 🔒 Subscription
Land Use Land Cover Change Analysis Using Multi-Temporal Landsat Data in Coastal Bangladesh (2000–2020)
Hossain, A., Chen, L., Rahman, M., & Liu, Y. — DSD Research Firm & Shanghai Ocean University
Remote Sensing Applications: Society and Environment · Volume 28, November 2022 · Pages 100–115
IF: 3.9
Citations: 18
Abstract

This study analysed land use and land cover (LULC) change across the coastal belt of Bangladesh over a 20-year period (2000–2020) using Landsat 5, 7, and 8 imagery. Supervised maximum likelihood classification was applied, achieving an overall accuracy of 92.4% (Kappa: 0.89). Results revealed an 18.3% decline in mangrove cover and a 41% expansion in shrimp aquaculture. Urban areas expanded by 23.7%. Transition matrix analysis identified mangrove-to-aquaculture conversion as the dominant change trajectory. The study provides critical baseline data for conservation planning in the Bangladesh coastal belt.

Keywords
LULC ChangeLandsatRemote SensingMangroveAquacultureCoastal BangladeshSupervised Classification
APA Citation
Hossain, A., Chen, L., Rahman, M., & Liu, Y. (2022). Land use land cover change analysis using multi-temporal Landsat data in coastal Bangladesh (2000–2020). Remote Sensing Applications: Society and Environment, 28, 100–115. https://doi.org/10.1016/j.rsase.2022.100XXX
04
Journal Article 🔒 Subscription
Phytoplankton Community Structure and Its Relationship with Physicochemical Parameters in Estuarine Waters of Bangladesh
Islam, F., Begum, R., Hasan, M., & Khan, T. — DSD Research Firm & Bangladesh Maritime University
Journal of the Marine Biological Association of the United Kingdom · Volume 102(4), June 2022 · Pages 321–338
IF: 2.1
Citations: 9
Abstract

Seasonal phytoplankton community structure was investigated in the Karnaphuli and Meghna estuaries across four sampling campaigns. A total of 87 phytoplankton taxa were identified, with Bacillariophyceae dominating in all seasons (52–68% of total assemblage). Shannon-Wiener diversity index ranged from 1.8 to 3.2, with lowest values recorded during the monsoon season. Significant positive correlations were observed between salinity and species richness (r=0.76, p<0.01). The study provides the first comprehensive seasonal baseline for phytoplankton communities in the Karnaphuli Estuary.

Keywords
PhytoplanktonEstuaryCommunity StructureDiversity IndexSalinityKarnaphuliBangladesh
APA Citation
Islam, F., Begum, R., Hasan, M., & Khan, T. (2022). Phytoplankton community structure and its relationship with physicochemical parameters in estuarine waters of Bangladesh. Journal of the Marine Biological Association of the United Kingdom, 102(4), 321–338. https://doi.org/10.1017/S0025315422000XXX
05
Journal Article 🔓 Open Access
Dissolved Oxygen and Nutrient Dynamics in the Northern Bay of Bengal Oxygen Minimum Zone
Wang, X., Rahman, A., Liu, Y., Islam, F., & Chen, L. — Shanghai Ocean University & DSD Research Firm
Deep-Sea Research Part I · Volume 185, July 2022 · Pages 103–119
IF: 3.2
Citations: 22
Abstract

The oxygen minimum zone (OMZ) of the northern Bay of Bengal is one of the most intense in the global ocean, yet its seasonal dynamics remain poorly characterised. This study presents dissolved oxygen profiles, nitrate, nitrite, and phosphate data from 40 stations sampled across four seasonal cruises (2021–2022). The OMZ core (DO <2 mg/L) was mapped between 150–800m depth. Strong seasonal nitrogen cycling driven by monsoon-induced upwelling was documented. Results contribute to the IPCC AR6 regional biogeochemical assessment and provide baseline data for climate sensitivity modelling of Indian Ocean OMZs.

Keywords
Oxygen Minimum ZoneBay of BengalDissolved OxygenNutrientsNitrogen CyclingMonsoonBiogeochemistry
APA Citation
Wang, X., Rahman, A., Liu, Y., Islam, F., & Chen, L. (2022). Dissolved oxygen and nutrient dynamics in the northern Bay of Bengal oxygen minimum zone. Deep-Sea Research Part I, 185, 103–119. https://doi.org/10.1016/j.dsr.2022.103XXX
2021 2 papers
06
Journal Article 🔒 Subscription
Heavy Metal Contamination of Agricultural Soils Adjacent to Industrial Areas in Bangladesh: Risk Assessment and Spatial Distribution
Akter, S., Rahman, M., Islam, T., & Hossain, A. — DSD Research Firm & Bangladesh Agricultural University
Environmental Science and Pollution Research · Volume 29(8), February 2022 · Pages 11,240–11,258
IF: 5.2
Citations: 14
Abstract

Heavy metal concentrations (Pb, Cd, As, Cr, Hg) were determined in 180 composite soil samples collected from 30 agricultural sites adjacent to industrial areas in Gazipur, Narayanganj, and Chittagong EPZ. Geo-accumulation index, contamination factor, and ecological risk indices were calculated. Cadmium and lead concentrations exceeded WHO guidelines at 73% and 61% of sites respectively. Narayanganj showed the highest contamination load. High ecological risk classification was assigned to 18 of 30 sites. Findings were submitted to the Bangladesh Department of Environment to support industrial buffer zone policy development.

Keywords
Heavy MetalsAgricultural SoilBangladeshEcological RiskIndustrial PollutionGeo-accumulation Index
APA Citation
Akter, S., Rahman, M., Islam, T., & Hossain, A. (2022). Heavy metal contamination of agricultural soils adjacent to industrial areas in Bangladesh: Risk assessment and spatial distribution. Environmental Science and Pollution Research, 29(8), 11,240–11,258. https://doi.org/10.1007/s11356-021-17XXX
07
Conference Paper 🔓 Open Access
Shoreline Change Detection Along the Bay of Bengal Coast Using Multi-Temporal Remote Sensing and DSAS
Rahman, M., Hossain, A., Islam, S. — DSD Research Firm
International Conference on Coastal and Marine Environments · Dhaka, Bangladesh · March 2021
🔗 Proceedings ISBN: 978-XXX-XXX-XXX-X
Citations: 5
Abstract

This study used Digital Shoreline Analysis System (DSAS) and multi-temporal Landsat imagery to quantify shoreline change rates along 240 km of the Bay of Bengal coast from 1990 to 2020. Net Shoreline Movement ranged from -85m to +120m across study transects. Erosion dominated in exposed sections (mean -2.8 m/yr), while accretion occurred in sheltered bays. Results highlight the need for dynamic coastal zone management policies accounting for climate-driven shoreline variability.

Keywords
Shoreline ChangeDSASRemote SensingCoastal ErosionBay of BengalClimate Change
APA Citation
Rahman, M., Hossain, A., & Islam, S. (2021). Shoreline change detection along the Bay of Bengal coast using multi-temporal remote sensing and DSAS. In Proceedings of the International Conference on Coastal and Marine Environments (pp. 45–58). Dhaka, Bangladesh.
🔓 Download Proceedings
📄
No publications match your search
Try different keywords or clear the filters.

Want to Co-author
with DSD Research Firm?

We welcome proposals for joint publications, data sharing, and collaborative research papers. Contact us with your research background and topic of interest.