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
12
Publications
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6
Citations
Citations since 2017
Publications
Publications (12)
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...
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...
![The fundamental scale for pairwise comparison [25].](profile/Md-Islam-1271/publication/365274089/figure/tbl1/AS:11431281096240509@1668100782037/The-fundamental-scale-for-pairwise-comparison-25_Q320.jpg)
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...
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?
Projects
Projects (3)
To improve the existing water supply network in Dhaka, Bangladesh
