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LIVE · In Progress
🌊 Coastal & Marine
Sampling site — Bay of Bengal coastal zone, Chittagong, Bangladesh
Microplastic Distribution in the Bay of Bengal Coastal Zone
Assessment of microplastic abundance, polymer types, and spatial distribution across selected coastal sites in the Bay of Bengal — integrating laboratory FTIR analysis with GIS-based spatial mapping to identify pollution hotspots and seasonal variation patterns.
Project Progress
65%
Start Date
January 2024
Expected Completion
December 2025
Funding Source
DSD Internal Research Fund
Study Area
Bay of Bengal — Cox's Bazar, Chittagong, Feni coast
Sample Count
120 water & sediment samples
Project Lead
DSD Research Team
📌 Key Objectives
Quantify microplastic abundance per litre and per gram of dry weight sediment at 12 coastal stations
Identify polymer types using FTIR spectroscopy and classify by colour, shape, and size class
Produce GIS-based spatial distribution maps showing pollution hotspots along the coast
Assess seasonal variation between monsoon and dry season sampling campaigns
📸 Field & Lab Photos
LIVE · Field Phase
💧 Water Quality
Field sampling on the Sangu River, Bandarban, Bangladesh
Water Quality Assessment of the Sangu River Basin
Comprehensive physicochemical, biological, and heavy metal analysis of the Sangu River — examining seasonal variation, pollution sources, and ecological health using multi-parameter field and laboratory methods across 20 sampling stations from source to estuary.
Project Progress55%
Start Date
March 2024
Expected Completion
February 2026
Funding Source
University Research Grant
Study Area
Sangu River — source to estuary (Bandarban to Chittagong)
Sample Count
80 water + 40 sediment samples
Project Lead
DSD Research Team
📌 Key Objectives
Measure physicochemical parameters (pH, DO, turbidity, conductivity, BOD, COD) at 20 stations across 4 seasons
Analyse heavy metal concentrations (Pb, Cd, As, Cr, Hg) in water and sediment samples
Assess aquatic biodiversity using plankton and macroinvertebrate community indices
Identify pollution sources and recommend water management interventions
📸 Field & Lab Photos
LIVE · Analysis Phase
🗺️ GIS & Remote Sensing
Satellite imagery analysis — coastal Bangladesh land cover change 2000–2024
Land Use Change Detection in Coastal Bangladesh (2000–2024)
Multi-temporal GIS analysis of land use and land cover change across the coastal belt of Bangladesh using Landsat and Sentinel-2 imagery — quantifying mangrove loss, agricultural expansion, aquaculture growth, and urban sprawl over a 24-year period.
Project Progress70%
Start Date
June 2023
Expected Completion
September 2025
Funding Source
Joint DSD–Shanghai Ocean University Fund
Study Area
Coastal belt — Cox's Bazar to Satkhira
Data Sources
Landsat 5/7/8/9, Sentinel-2 (ESA), Google Earth Engine
Project Lead
DSD GIS Team + SOU Collaboration
📌 Key Objectives
Classify land use / land cover for 4 time points: 2000, 2010, 2018, 2024 using supervised classification
Quantify area changes in mangrove, agricultural land, aquaculture, and built-up areas
Conduct change detection analysis and produce transition matrices
Assess accuracy using ground-truth GPS points and confusion matrix
Produce publication-ready cartographic maps and submit findings to a remote sensing journal
📸 Maps & Imagery
LIVE · Lab Phase
🐠 Aquatic Biology
Plankton sample processing — laboratory analysis phase
Phytoplankton & Zooplankton Community Structure in Estuarine Zones
Seasonal investigation of plankton community composition, abundance, biomass, and biodiversity indices in selected estuarine zones of Bangladesh — examining relationships with physicochemical water quality parameters and climate variability indicators.
Project Progress45%
Start Date
September 2024
Expected Completion
August 2026
Funding Source
Bangladesh Maritime University Research Fund
Study Area
Karnaphuli Estuary, Meghna Estuary, Sangu Estuary
Sampling Seasons
Pre-monsoon, Monsoon, Post-monsoon, Winter
Project Lead
DSD Marine Biology Team
📌 Key Objectives
Identify and count plankton species at genus/species level across three estuarine zones
Calculate diversity indices (Shannon-Wiener, Margalef, Simpson) for each station and season
Correlate plankton community structure with temperature, salinity, DO, nutrients, and turbidity
Assess indicators of eutrophication and ecological health status
📸 Field & Lab Photos
LIVE · Model Development
🤖 AI & Data Science
Machine learning model development for coastal flood vulnerability prediction
Machine Learning for Coastal Flood Vulnerability Prediction in Southern Bangladesh
Development and validation of ensemble machine learning models to predict coastal flood vulnerability at union level — using socioeconomic, topographic, hydrological, and climatic input variables to identify high-risk communities in southern Bangladesh.
Project Progress40%
Start Date
November 2024
Expected Completion
October 2026
Funding Source
Joint DSD–USK International Research Fund
Study Area
Coastal districts — Khulna, Satkhira, Bagerhat, Barguna
Data Sources
BBS census, BWDB flood records, DEM, Sentinel SAR, CHIRPS
Project Lead
DSD AI & GIS Team
📌 Key Objectives
Compile a multi-variable flood vulnerability dataset for 500+ coastal unions
Train and compare Random Forest, XGBoost, and neural network models for vulnerability prediction
Validate models against historical flood event data from 2007–2023
Produce union-level vulnerability maps and policy recommendations for disaster risk reduction
📸 Project Visuals
LIVE · Field Sampling
🌾 Soil & Agriculture
Soil sampling at agricultural study sites near industrial zones, Dhaka division
Heavy Metal Contamination in Agricultural Soils Near Industrial Zones
Soil sampling and multi-metal chemical analysis to assess concentrations of lead, cadmium, arsenic, and chromium in agricultural areas adjacent to industrial belts in Dhaka and Chittagong — evaluating food safety implications, contamination indices, and remediation priorities.
Project Progress35%
Start Date
January 2025
Expected Completion
December 2026
Funding Source
Bangladesh Agricultural University Research Grant
Study Area
Gazipur, Narayanganj, Chittagong EPZ adjacent farmland
Sample Count
200 soil samples from 40 sites
Project Lead
DSD Environmental Chemistry Team
📌 Key Objectives
Measure Pb, Cd, As, Cr, and Hg concentrations using AAS/ICP-OES in 200 composite soil samples
Calculate geo-accumulation index, contamination factor, and pollution load index
Assess potential ecological and human health risk from contaminated soils
Map spatial distribution of contamination using GIS and identify remediation priority zones
📸 Field & Lab Photos
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