Md Yousuf Mia, Md. Emdadul Haque, Abu Reza Md. Towfiqul Islam, Jannatun Nahar Jannat et al.
Water contamination undermines human survival and economic growth. Water resource protection and management require knowledge of water hydrochemistry and drinking water quality characteristics, mechanisms, and factors. Self-organizing maps (SOM) have been developed using quantization and topographic...
Swapan Talukdar, Swades Pal
In Barind tract of Indo-Bangladesh, wetlands hammering, alteration of permanent wetlands habitat into seasonal, seasonal into only land, etc. are extremely precise. The aim of this work is to delineate wetlands habitat vulnerability of the wetlands in Punarbhaba river basin for pre and post dam stat...
Swapan Talukdar, Swades Pal
Javed Mallick, Swapan Talukdar, Majed Alsubih, Mohd. Ahmed et al.
Groundwater scarcity is one of the most concerning issues in arid and semi-arid regions. In this study, we develop and validate a novel artificial intelligence that is a coupling of five ensemble benchmark algorithms e.g., artificial neural network (ANN), reduced-error pruning trees (REPTree), radia...
Majed Alsubih, Javed Mallick, Abu Reza Md. Towfiqul Islam, Mohammed K. Al Mesfer et al.
The dam is a crucial water source for both consumption and irrigation in the Asir region of the Kingdom of Saudi Arabia. The current study evaluates surface water quality at the dam and examines the effects of some physicochemical and trace metals on irrigation using multiple statistical approaches....
Shahfahad, Ahmed Ali Bindajam, Mohd Waseem Naikoo, Juhi Priyanka Horo et al.
Swades Pal, Swapan Talukdar
Investigations of changing the flow regime and flow prediction are of vital societal and hydro-ecological importance in a transboundary river like Punarbhaba river between India and Bangladesh. The present paper investigated flow regime though advance periodicity models (Morlet’s wavelet transformat...
Showmitra Kumar Sarkar, Swapan Talukdar, Atiqur Rahman, Shahfahad et al.
Purpose The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF) and random subspace (RSS). Design/methodology/approach The RF and RSS models have been implemented f...
Swades Pal, Swapan Talukdar
Punarbhaba river of Indo-Bangladesh has experienced hydro-ecological alteration after installation of Komardanga dam in 1992 and consequently wetland and inundation areas have undergone into transformation. The present work intends to explore the impact of flow attenuation on contemporary and upcomi...
Swapan Talukdar, Javed Mallick, Showmitra Kumar Sarkar, Sujit Kumar Roy et al.
Abstract The present study aimed to create novel hybrid models to produce groundwater potentiality models (GWP) in the Teesta River basin of Bangladesh. Six ensemble machine learning (EML) algorithms, such as random forest (RF), random subspace, dagging, bagging, naïve Bayes tree (NBT), and stacking...
Shahriar Hasnat Akash, Showmitra Kumar Sarkar, Ahmed Ali Bindajam, Rina Kumari et al.
The vulnerability of coastal regions to climate change is a growing global concern, particularly in Bangladesh, which is vulnerable to flooding and storm surges due to its low-lying coastal areas. In this study, we used the fuzzy analytical hierarchy process (FAHP) method to assess the physical and ...
Majed Alsubih, Javed Mallick, Swapan Talukdar, Roquia Salam et al.
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Swapan Talukdar, Palash Chandra Das et al.
The aim of the study was to estimate future groundwater potential zones based on machine learning algorithms and climate change scenarios. Fourteen parameters (i.e., curvature, drainage density, slope, roughness, rainfall, temperature, relative humidity, lineament density, land use and land cover, g...
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Abid Reza Sohan, Palash Chandra Das et al.
Abstract Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the coupling of machine learning and remote sensing was seldom employed for soil salinity mapping in the coastal areas of Bangladesh. The research aims to estimate the soil salinity level in a south...
Swapan Talukdar, Swades Pal, Anamika Chakraborty, Susanta Mahato
Damming over the river remarkably alters the downstream hydrological and ecological state of the river and riparian wetlands. Considering this, the present work intended to explore the habitat quality and the trophic state index (TSI) of the wetland in Tangan river basin of India and Bangladesh. The...