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Kutub Uddin Eibek
Researcher at Begum Rokeya University
Publications - 6
Citations - 399
Kutub Uddin Eibek is an academic researcher from Begum Rokeya University. The author has contributed to research in topics: Ensemble forecasting & Flash flood. The author has an hindex of 5, co-authored 5 publications receiving 133 citations.
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Journal ArticleDOI
Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam,Swapan Talukdar,Susanta Mahato,Sonali Kundu,Kutub Uddin Eibek,Quoc Bao Pham,Alban Kuriqi,Nguyen Thi Thuy Linh +7 more
TL;DR: The methodology and solution-oriented results presented in this paper will assist the regional as well as local authorities and the policy-makers for mitigating the risks related to floods and also help in developing appropriate mitigation measures to avoid potential damages.
Journal ArticleDOI
Modeling fragmentation probability of land-use and land-cover using the bagging, random forest and random subspace in the Teesta River Basin, Bangladesh
Swapan Talukdar,Kutub Uddin Eibek,Shumona Akhter,Sk Ziaul,Abu Reza Md. Towfiqul Islam,Javed Mallick +5 more
TL;DR: In this article, the fragmentation probability of the Teesta River Basin (TRB) in Bangladesh was investigated using remote sensing data for assessing land-use and land-cover (LULC) changes, and the results showed that water bodies and barren land were substantially decreased by 6.21% and 14.59% respectively while the built-up areas increased by 1.45% from 2010 to 2019.
Journal ArticleDOI
Predicting spatiotemporal changes of channel morphology in the reach of Teesta River, Bangladesh using GIS and ARIMA modeling
Shumona Akhter,Kutub Uddin Eibek,Shakibul Islam,Abu Reza Md. Towfiqul Islam,Abu Reza Md. Towfiqul Islam,Ronghao Chu,Shen ShuangHe +6 more
TL;DR: In this paper, the authors investigate the spatiotemporal changes of channel morphology and predict mid-line channel shifting in the reach of the Teesta River, Bangladesh during 1972-2031, using multi-temporal Landsat images data with GIS, spatial autocorrelation index, and an autoregressive integrated moving average (ARIMA) model.
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A comprehensive statistical assessment of drought indices to monitor drought status in Bangladesh
Md. Jalal Uddin,Jichao Hu,Abu Reza Md. Towfiqul Islam,Abu Reza Md. Towfiqul Islam,Kutub Uddin Eibek,Zahan Most. Nasrin +5 more
TL;DR: In this paper, the authors used daily temperature and precipitation data from the Bangladesh Meteorological Department (BMD) to calculate Standardized Precipitation Index (SPI) and Standardized Preciation Evapotranspiration Index(SPEI), and performed a statistical assessment, for instance, Pearson correlation coefficient, crosscorrelation, cross-wavelet transform, and root mean square error, to identify the strengths of SPI and SPEI.
Journal ArticleDOI
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Abu Reza Md. Towfiqul Islam,Swapan Talukdar,Susanta Mahato,Sk Ziaul,Kutub Uddin Eibek,Shumona Akhter,Quoc Bao Pham,Babak Mohammadi,Firoozeh Karimi,Nguyen Thi Thuy Linh +9 more
TL;DR: In this paper, the authors explored the spatiotemporal dynamics of wetlands, prediction of wetland risk assessment, and showed that wetland areas at present are declining less than one-third of those in 1988 due to the construction of the dam at Farakka, which is situated at the upstream of the Padma River.