
Md Rabiul IslamDhaka University of Engineering & Technology | DUET · Institute of Water and Environment (IWE)
Md Rabiul Islam
Masters in Water Resources Engineering
Looking for potential colaboration in the field of Remote Sensing and GIS based Hydrologic Modelling.
About
40
Publications
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Publications
Publications (40)
Flooding, a major natural disaster, poses a significant threat to human life, property, and economic stability. This study aims to identify areas within a designated study area susceptible to Cooding through a robust multi-criteria decision-making (MCDM) approach. The methodology integrates geographical information systems (GIS) and the analytical...
The study highlights soil's vital role in food production and wildlife habitats. Using the RUSLE model, a nationwide soil erosion assessment in Halda (2005–2020) analyzed rainfall, soil traits, DEM, Landsat 8 imagery, and LULC maps. GIS-based zonal statistics identified erosion-prone areas, revealing an annual soil loss of 1.83 t ha⁻¹ yr⁻¹, totalin...
Bangladesh, situated within the vast Bengal Delta, faces a significant challenge due to its low-lying and flat topography: frequent and devastating floods. Acknowledging the influence of physical elements on flood events, flood susceptibility assessment emerges as a critical tool for establishing effective and sustainable flood mitigation strategie...
Despite the many fatalities and injuries, Bangladesh lacks holistic individual flood preparedness studies. This study evaluates flood preparedness in the flood-prone rural region of Dowarabazar Upazila, Sunamganj District, Bangladesh. The field survey had 596 respondents. As required, we implemented Spearman’s rank correlation and multiple linear r...
This study aims at developing a physically based semi-distributed rainfall-runoff model in the HEC-HMS platform to predict the historical and future stream flow of the Dhaka River basin. This model adopted and integrated several physio-hydrographic parameters as input data, such as LULC, HSG, DEM, observed stream flow, historical and projected futu...
Recognizing soil as a vital resource for food production and animal habitat, this study employed a comprehensive, nationwide erosion assessment in Bangladesh using the Revised Universal Soil Loss Equation (RUSLE) model. Rainfall, soil data, the Digital Elevation Model (DEM), Landsat 8 imagery, and land use and land cover (LULC) maps were employed a...
Coastal erosion poses a significant threat to communities worldwide, particularly in vulnerable areas like Bangladesh. This study investigates shoreline changes over the past three decades and 2023) in a 66-mile (106 km) stretch of the Cox's Bazar coastline, from Moheshkhali Channel to Shahpori Island. Employing the Digital Shoreline Analysis Syste...
Global groundwater resources face considerable pressure due to rampant groundwater overexploitation and pronounced climate shifts over time. As the global demand for potable water for human consumption, agricultural irrigation, and industrial applications escalates, so does the necessity to assess the groundwater potential and productivity of aquif...
Runoff is one of the most essential hydrologic parameters to estimate water resources. This runoff is commonly and widely estimated by using the SCS-CN approach as the runoff Curve Number (CN) is a critical feature in the SCS-CN method and depends on land use/land cover (LULC), soil type, and Antecedent Soil Moisture (AMC). Besides, The daily runof...
Water is fundamental to the very existence and well-being of ecosystems and human societies alike. Consequently, the quality of water resources becomes a critical factor governing environmental and public health. Water quality encompasses the combined physical, chemical, and biological characteristics of a water sample, influencing its suitability...
River salinity poses a significant environmental and agricultural challenge worldwide, particularly in coastal regions. Intrusion of salt water into freshwater systems due to environmental and anthropogenic factors disrupts aquatic ecology, compromises water quality, and jeopardizes agricultural production. This problem is particularly acute in Ban...
Solar power plants are important alternatives to fossil fuel-based power plants because they reduce greenhouse gas emissions and mitigate the effects of climate change. The potential of harnessing solar energy is highly dependent on selecting the optimal locations for plant installation. This study primarily aims to select optimal sites for solar e...
Floods are hydrological disasters that can change a region's physical, economical, and environmental conditions. For
identifying flood risk areas and preparing mitigation strategies, flood susceptibility mapping is essential. The aim of the
present work is to develop a flood risk map for the Halda Basin, the North-eastern region (NER) of Bangladesh...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
Rainfall and runoff are the two most vital hydrologic variables to take into account when evaluating water resources. The runoff curve number is a crucial component of the SCS-CN method, making it the most popular and commonly used method for estimating runoff following rainfall. Additionally, the SCS-CN model needs inputs like the Weighted Curve N...
The process of selecting optimal sites for solar power plants in Bangladesh can be enhanced by utilizing a Geographic Information System (GIS) and a Multi-Criteria Decision Analysis (MCDA) method based on the Analytic Hierarchy Process (AHP).
GIS technology allows for the integration and analysis of various spatial data, including solar radiation,...
Urban solid waste management (USWM) is a widespread issue. The issues are exacerbated by the disproportionally higher volume of urban solid waste (USW) generation in South Asian Association for Regional Cooperation (SAARC) countries such as Bangladesh, India, Maldives, Nepal, Pakistan, Sri Lanka and Afghanistan, particularly in the context of incre...
Rainfall and runoff are the essential hydrologic parameters when estimating water resources. This study aims at estimating surface runoff in the Padma river basin based on the SCS-CN method in a geographic information system (GIS) and remote sensing (RS) environment. The SCS-CN is, however, one of the most widely used runoff estimation methods, and...
The goal of this study was to identify the expected changes in precipitation throughout Bangladesh under four shared socioeconomic paths (SSPs) with an observation period of 2021 to 2100. However, the precipitation changes were found to be much higher than the reference period over the Chittagong and Sylhet divisions between 2021 and 2080, and the...
Wind energy is one of the most attractive renewable energy sources because of its low
operating, maintenance, and production costs as well as its low environmental impact. The goal of this study is to discover the best locations in Bangladesh for wind farms to be built and operated efficiently. This study applied the Geographic Information System (...
Wind energy is one of the most attractive renewable energy sources because of its low operating, maintenance, and production costs as well as its low environmental impact. The goal of this study is to discover the best locations in Bangladesh for wind farms to be built and operated efficiently. This study applied the Geographic Information System (...
Wind energy is one of the most attractive renewable energy sources because of its low operating, maintenance, and production costs as well as its low environmental impact. The goal of this study is to discover the best locations in Bangladesh where wind farms can be built and operated efficiently. This study applied the GIS and AHP methodologies to...
Intense urbanization alters the microclimate and ecology of cities by converting naturally vegetated and permeable surfaces into impervious built-up surfaces. These artificial impermeable surfaces re-balance the surface energy budget by storing solar heat due to their higher thermal conductivity, and consequently, increase the Land Surface Temperat...
Abstract:
The Coupled Model Intercomparison Project Phase 6 (CMIP6) dataset is used to examine projected changes in precipitation over the seven divisions of Bangladesh. The changes are computed using the General Circulation Model (GCM): BCC-CSM2-MR for four future time slices (2021–2040, 2041–2060, 2061–2080, and 2081–2100) relative to the refere...
Brief discussion regarding sanitary Landfill
A new method for obtaining the C factor (i.e., vegetation cover and management factor) of the RUSLEmodel is proposed. The method focuses on the derivation of the C factor based on the vegetation densityto obtain a more reliable erosion prediction. Soil erosion that occurs on the hillslope along the highway isone of the major problems in Malaysia, w...
This study explores capability of adaptive neuro-fuzzy interface system (ANFIS) model for soil erosion assessment of which various parameters are involved and the parameters interaction is highly nonlinear. Soft computing technique has been applied widely in various fields, but its application in soil science is limited. A number of models have bee...
Due to enhanced construction requirement, ready mixed concrete are being popular day by day. The current study aimed to develop ready mixed concrete using GBFS contained cement and determine its properties of fresh and hardened states. A real scale experiment was set up in a ready mixed plant for measuring workability and compressive strength. The...
Vegetation cover and management factor (C) of the Universal Soil Loss Equation (USLE) is usually can be found from guideline. However, the value would actually bias for small scale area. This study was therefore aimed to use digital photograph to obtain the vegetation cover and management factor (C) at small scale. A total of 8 photographs were tak...
The study was in order to assess soil erosion at plot scale Universal Soil Loss Equation (USLE) erosion model and Geographic Information System (GIS) technique have been used for the study 8 plots in Guthrie Corridor Expressway, Selangor, Malaysia. The USLE model estimates an average soil loss soil integrating several factors such as , rainfall ero...
Questions
Questions (5)
Hi Guys!
I'd like to download future precipitation data from Worldclim.org. There are several GCMs such as: https://www.worldclim.org/data/cmip6/cmip6_clim2.5m.html .
Does anyone know which GCM is better for South Asian country, Bangladesh?
Thanks Much!
Rabiul Islam
I'm working in a research project, and its objective is to predict the future land use and land cove (LULC) of the study area. To predict the LULC, I'm using MOLUSCE plugin in QGIS. But the predicted LULC is found with different cell size and number of row /column.
For my study area, I'd like to generate a HAND (Height Above the Nearest Drainage) model using ArcGIS/ArcGIS Pro/ QGIS software and would like to have some suggestions from the experts who are familiar with the HAND model.
Dear all,
I'm working on a research project and to accomplish my research objective I need to create a HAND (Height Above the Nearest Drainage) from Digital Elevation Model (DEM). I'd like to use the TauDEM tool of ArcGIS 10.2 to generate the HAND, but I'm not so clear how to use it to create HAND. Any suggestion in this regard is highly appreciated.
I'm working in a research project whose objective is to predict annual soil erosion using the Revised Universal Soil Loss Equation (RUSLE). I have calculated all the factors of RUSLE model except K-factor with the data provided by the respective department. Now it seems much challenging to calculate the K-factor as I only have the soil data related to soil texture classes. But according to the equation below the proportions of different soil particles (%silt, %fine sand, %clay )are of course needed to calculate the K-factor
K-factor formula: К = 2.77 10-7 M 1.14 (12 – a) + 0.0043 (b – 2) + 0.0033 (4 – c)
where: M = {%(silt + fine sand)} . {100 - %clay}, a is %OM, b is the soil structure class and c is the soil profile permeability class)
Does anyone have any suggestions on how I can calculate the K- factor?