Shyamal Karmakar

Dr. Shyamal Karmakar


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 July 2022 in Hydrology Research
Verified
Journal Article
Open access
PDF file
SDSrijon Datta
Srijon Datta
SKShyamal Karmakar
Shyamal Karmakar
SMSymon Mezbahuddin
Symon Mezbahuddin
MHMohammad Mozaffar Hossain
Mohammad Mozaffar Hossain
BCBhagwan Singh Chaudhary
Bhagwan Singh Chaudhary
TBTarit Kumar Baul
Tarit Kumar Baul
HIGHLIGHTS. DEM source influence the slope, resolution to basin perimeter of a watershed.The flat terrain area influences watershed delineation.The sub-basin co

1 November 2019 in Ecological Indicators
Verified
Journal Article
Closed access
SKShyamal Karmakar
Shyamal Karmakar
SHS.M. Sirajul Haque
S.M. Sirajul Haque
MHMohammad Mozaffar Hossain
Mohammad Mozaffar Hossain
MSMandira Sen
Mandira Sen
EHEnamul Hoque
Enamul Hoque

17 April 2022 in Water
Verified
Journal Article
Open access
PDF file
SKShyamal Karmakar
Shyamal Karmakar
Alexandru TatomirAlexandru Tatomir
Alexandru Tatomir
SOSandra Oehlmann
Sandra Oehlmann
MGMarkus Giese
Markus Giese
MSMartin Sauter
Martin Sauter
Predicting and characterising groundwater flow and solute transport in engineering and hydrogeological applications, such as dimensioning tracer experiments, rely primarily on numerical modelling techniques. During software selection for numerical modelling, the accuracy of the results, financial costs of the simulation software, and computational resources should be considered. This study evaluates numerical modelling approaches and outlines the advantages and disadvantages of several simulators in terms of predictability, temporal control, and computational efficiency conducted in a single user and single computational resource set-up. A set of well-established flow and transport modelling simulators, such as MODFLOW/MT3DMS, FEFLOW, COMSOL Multiphysics, and DuMuX were tested and compared. These numerical simulators are based on three numerical discretisation schemes, i.e., finite difference (FD), finite element (FE), and finite volume (FV). The influence of dispersivity, potentially an artefact of numerical modelling (numerical dispersion), was investigated in parametric studies, and results are compared with analytical solutions. At the same time, relative errors were assessed for a complex field scale example. This comparative study reveals that the FE-based simulators COMSOL and FEFLOW show higher accuracy for a specific range of dispersivities under forced gradient conditions than DuMuX and MODFLOW/MT3DMS. FEFLOW performs better than COMSOL in regard to computational time both in single-core and multi-core computing. Overall computational time is lowest for the FD-based simulator MODFLOW/MT3DMS while the number of mesh elements is low (here < 12,800 elements). However, for finer discretisation, FE software FEFLOW performs faster.

7 January 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
SDSrijon Datta
Srijon Datta
SKShyamal Karmakar
Shyamal Karmakar
NINazrul Islam
Nazrul Islam
MKMir Enamul Karim
Mir Enamul Karim
HKHumayain Kabir
Humayain Kabir
JUJamir Uddin
Jamir Uddin

3 November 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ACAnwarul Islam Chowdhury
Anwarul Islam Chowdhury
JUJamal Uddin
Jamal Uddin
TBTarit Kumar Baul
Tarit Kumar Baul
JAJarin Akhter
Jarin Akhter
RNRajasree Nandi
Rajasree Nandi
TNTapan Kumar Nath
Tapan Kumar Nath

10 December 2022 in Heliyon
Verified
Journal Article
Open access
PDPrety Debnath
Prety Debnath
MMM M Abdullah Al Mamun
M M Abdullah Al Mamun
SKShyamal Karmakar
Shyamal Karmakar
MUMohammed Salim Uddin
Mohammed Salim Uddin
TNTapan Kumar Nath
Tapan Kumar Nath
Residents of Chattogram city areas in Bangladesh use drinking water from three sources, namely CWASA (Chattogram Water supply and Sewerage Authority), groundwater (tube-well), and commercial jar. In this study, we examined the quality of drinking water from these sources following an analytical and residents' perception. Water samples (both untreated and treated) from above three sources were collected from six locations across Chattogram city, and pH, total dissolved solids (TDS), total suspended solids (TSS), bicarbonate, electrical conductivity (EC), salinity, and microbial load were studied following the state-of-art testing methods. A total of 149 respondents were interviewed to understand their perception on the physical properties of water. The pH value of water from all sources and locations and irrespective of treatments, varied from 6.54 to 7.02. TDS of tube-well water in two locations exceeded the standard limit (1000 mg/l). In most locations, TSS varied from 40 to 1888 mg/l (treated and untreated) against the standard value of 10 mg/l, while bicarbonate of CWASA and tube-well water in most locations was also higher than the permissible amount (500 mg/l). Except for jar water, EC of CWASA and tube-well water (treated and untreated) in most locations were higher than the standard value (500 μS) and a similar situation was observed for salinity content. The microbial load was found beyond the permissible limit (0 CFU/ml) for all sources and locations. These parameters of water quality have also been reflected in residents' perceptions of drinking water. Respondents reported an unpleasant odour (56%), the presence of suspended particles (17%), and so CWASA water is not good for drinking (76%). Authorities (CWASA) need to take action toward a safe drinking water supply for residents.