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Results for “"Susanta Mahato"”

10 results

Flood susceptibility modelling using advanced ensemble machine learning models

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Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, Sonali Kundu et al.

Journal: Geoscience FrontiersYear: 2020Citations: 558

Floods are one of nature's most destructive disasters because of the immense damage to land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to flash flooding due to the dynamic and complex nature of the flash floods. Therefore, earlier identification of fl...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches

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Bushra Praveen, Swapan Talukdar, Shahfahad, Susanta Mahato et al.

Journal: Scientific ReportsYear: 2020Citations: 429

This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test was employed to detect the abrupt change point in time frame, while the Mann-Kendall (MK) test and Sen's Innovative t...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

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Swapan Talukdar, Bonosri Ghose, Shahfahad, Roquia Salam et al.

Journal: Stochastic Environmental Research and Risk AssessmentYear: 2020Citations: 222
Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh

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Swades Pal, Sonali Kundu, Susanta Mahato

Journal: Journal of Cleaner ProductionYear: 2020Citations: 121

Groundwater crisis across the world is a thought-provoking issue and for resolving the problem, it is highly necessary to identify the potential groundwater zones and estimate water yield. The present work intends to identify potential groundwater zone based on ensemble modeling assembling advance m...

Physical SciencesEnvironmental ScienceEnvironmental Engineering
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Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh

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Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, Sk Ziaul et al.

Journal: Environmental Science and Pollution ResearchYear: 2021Citations: 81

Wetland risk assessment is a global concern especially in developing countries like Bangladesh. The present study explored the spatiotemporal dynamics of wetlands, prediction of wetland risk assessment. The wetland risk assessment was predicted based on ten selected parameters, such as fragmentation...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models

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Susanta Mahato, Swades Pal, Swapan Talukdar, Tamal Kanti Saha et al.

Journal: Geoscience FrontiersYear: 2021Citations: 79

The flood hazard management is one of the major challenges in the floodplain regions worldwide. With the rise in population growth and the spread of infrastructural development, the level of risk has increased over time. Therefore, the prediction of flood susceptible area is a key challenge for the ...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Damming effects on trophic and habitat state of riparian wetlands and their spatial relationship

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Swapan Talukdar, Swades Pal, Anamika Chakraborty, Susanta Mahato

Journal: Ecological IndicatorsYear: 2020Citations: 43

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...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Wetland‐Inundated Area Modeling and Monitoring Using Supervised and Machine Learning Classifiers

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Swapan Talukdar, Sakshi Mankotia, Md Shamimuzzaman, Shahfahad et al.

Year: 2021Citations: 25

The wetlands have major importance in environments, as they provide several goods and services. But the wetlands are in deep crisis and are claiming the attention of people around the world who are calling for sustainability. The Sunamganj district of Bangladesh is known as haor basin, because it is...

Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Application of Hybrid Machine Learning Algorithms for Flood Susceptibility Modeling

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Swapan Talukdar, Sujit Kumar Roy, Showmitra Kumar Sarkar, Susanta Mahato et al.

Journal: GIScience and geo-environmental modellingYear: 2022Citations: 7
Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Correction to: Machine learning algorithm-based risk assessment of riparian wetlands in Padma River basin of Northwest Bangladesh

Verified

Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, Sk Ziaul et al.

Journal: Environmental Science and Pollution ResearchYear: 2021Citations: 2
Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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