2024

Kim, Y. , Das, S. , Shah, J. A. and Lim, L. H. I. (2024) Design of Project-Based Learning (PBL) in civil engineering. International Journal of Learning and Teaching, 10(4), pp. 539-543. (doi: 10.18178/ijlt.10.4.539-543)

Das, S. and Lim, L. H. I. (2024) Enhancing Civil Engineering Education: A Comprehensive Analysis of Student Perspectives on Technology-Integrated Learning. In: 2024 IEEE Global Engineering Education Conference (EDUCON), Kos Island, Greece, 08-11 May 2024, ISBN 9798350394023 (doi: 10.1109/educon60312.2024.10578619)

Kim, Y. , Idris, L. L. H., Das, S. and Yau, P. C. (2024) Development Of Project-Based Learning In Civil Engineering. In: 18th Annual International Technology, Education and Development Conference (INTED 2024), Valencia, Spain, 04-06 Mar 2024, pp. 5942-5948. ISBN 9788409592159 (doi: 10.21125/inted.2024.1558)

2023

Das, S. and Islam, A. R. M. T. (2023) Assessment of temporal changes in frequency characteristics of annual maximum rainfall of daily duration over Bangladesh. Theoretical and Applied Climatology, 153(1-2), pp. 323-334. (doi: 10.1007/s00704-023-04479-0)

Das, S. , Islam, A. R. M. T. and Kamruzzaman, M. (2023) Assessment of climate change impact on temperature extremes in a tropical region with the climate projections from CMIP6 model. Climate Dynamics, 60(1-2), pp. 603-622. (doi: 10.1007/s00382-022-06416-9)

2022

Das, S. , Kamruzzaman, M., Towfiqul Islam, A. R. M., Zhu, D. and Kumar, A. (2022) Comparison of future changes in frequency of climate extremes between coastal and inland locations of Bengal delta based on CMIP6 climate models. Atmosphere, 13(11), 1747. (doi: 10.3390/atmos13111747)

Das, S. , Kamruzzaman, M. and Islam, A. R. M. T. (2022) Assessment of characteristic changes of regional estimation of extreme rainfall under climate change: A case study in a tropical monsoon region with the climate projections from CMIP6 model. Journal of Hydrology, 610, 128002. (doi: 10.1016/j.jhydrol.2022.128002)

Das, S. and Wahiduzzaman, M. (2022) Identifying meaningful covariates that can improve the interpolation of monsoon rainfall in a low‐lying tropical region. International Journal of Climatology, 42(3), pp. 1500-1515. (doi: 10.1002/joc.7316)

Das, S. (2022) Performance of a multi-parameter distribution in the estimation of extreme rainfall in tropical monsoon climate conditions. Natural Hazards, 110(1), pp. 191-205. (doi: 10.1007/s11069-021-04942-z)

2021

Das, S. (2021) Extreme rainfall estimation at ungauged locations: information that needs to be included in low-lying monsoon climate regions like Bangladesh. Journal of Hydrology, 601, 126616. (doi: 10.1016/j.jhydrol.2021.126616)

Das, S. and Islam, A. R. M. T. (2021) Assessment of mapping of annual average rainfall in a tropical country like Bangladesh: remotely sensed output vs. kriging estimate. Theoretical and Applied Climatology, 146, pp. 111-123. (doi: 10.1007/s00704-021-03729-3)

Das, S. and Zhu, D. (2021) Comparison between observed and remotely sensed attributes to include in the region-of-influence approach of extreme precipitation estimation: a case study in the Yangtze River basin, China. Hydrological Sciences Journal, 66(12), pp. 1777-1789. (doi: 10.1080/02626667.2021.1962886)

2020

Das, S. , Zhu, D. and Yin, Y. (2020) Comparison of mapping approaches for estimating extreme precipitation of any return period at ungauged locations. Stochastic Environmental Research and Risk Assessment, 34(8), pp. 1175-1196. (doi: 10.1007/s00477-020-01828-7)

Das, S. , Zhu, D. and Cheng, C.-H. (2020) A regional approach of decadal assessment of extreme precipitation estimates: a case study in the Yangtze River Basin, China. Pure and Applied Geophysics, 177(2), pp. 1079-1093. (doi: 10.1007/s00024-019-02354-6)

Das, S. (2020) Assessing the regional concept with sub-sampling approach to identify probability distribution for at-site hydrological frequency analysis. Water Resources Management, 34(2), pp. 803-817. (doi: 10.1007/s11269-019-02475-6)

2019

Das, S. (2019) Extreme rainfall estimation at ungauged sites: Comparison between region-of-influence approach of regional analysis and spatial interpolation technique. International Journal of Climatology, 39(1), pp. 407-423. (doi: 10.1002/joc.5819)

2018

Das, S. (2018) Goodness-of-Fit tests for generalized normal distribution for use in hydrological frequency analysis. Pure and Applied Geophysics, 175(10), pp. 3605-3617. (doi: 10.1007/s00024-018-1877-y)

2017

Zhu, D., Das, S. and Ren, Q. (2017) Hydrological appraisal of climate change impacts on the water resources of the Xijiang Basin, South China. Water, 9(10), 793. (doi: 10.3390/w9100793)

Das, S. (2017) An assessment of using subsampling method in selection of a flood frequency distribution. Stochastic Environmental Research and Risk Assessment, 31(8), pp. 2033-2045. (doi: 10.1007/s00477-016-1318-3)

Das, S. (2017) Performance of region-of-influence approach of frequency analysis of extreme rainfall in monsoon climate conditions. International Journal of Climatology, 37(S1), pp. 612-623. (doi: 10.1002/joc.5025)

2016

Bodrud-Doza, M., Islam, A.R.M. T., Ahmed, F., Das, S. , Saha, N. and Rahman, M. S. (2016) Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh. Water Science, 30(1), pp. 19-40. (doi: 10.1016/j.wsj.2016.05.001)

2012

Das, S. and Cunnane, C. (2012) Performance of flood frequency pooling analysis in a low CV context = Performances de l'analyse de fréquence de crues regroupées dans un contexte de coefficient de variation faible. Hydrological Sciences Journal, 57(3), pp. 433-444. (doi: 10.1080/02626667.2012.666635)

2011

Das, S. and Cunnane, C. (2011) Examination of homogeneity of selected Irish pooling groups. Hydrology and Earth System Sciences, 15(3), pp. 819-830. (doi: 10.5194/hess-15-819-2011)

Das, S. , Sadiq, R. and Tesfamariam, S. (2011) An aggregative fuzzy risk analysis for flood incident management. International Journal of System Assurance Engineering and Management, 2(1), pp. 31-40. (doi: 10.1007/s13198-011-0053-x)

Articles

Kim, Y. , Das, S. , Shah, J. A. and Lim, L. H. I. (2024) Design of Project-Based Learning (PBL) in civil engineering. International Journal of Learning and Teaching, 10(4), pp. 539-543. (doi: 10.18178/ijlt.10.4.539-543)

Das, S. and Islam, A. R. M. T. (2023) Assessment of temporal changes in frequency characteristics of annual maximum rainfall of daily duration over Bangladesh. Theoretical and Applied Climatology, 153(1-2), pp. 323-334. (doi: 10.1007/s00704-023-04479-0)

Das, S. , Islam, A. R. M. T. and Kamruzzaman, M. (2023) Assessment of climate change impact on temperature extremes in a tropical region with the climate projections from CMIP6 model. Climate Dynamics, 60(1-2), pp. 603-622. (doi: 10.1007/s00382-022-06416-9)

Das, S. , Kamruzzaman, M., Towfiqul Islam, A. R. M., Zhu, D. and Kumar, A. (2022) Comparison of future changes in frequency of climate extremes between coastal and inland locations of Bengal delta based on CMIP6 climate models. Atmosphere, 13(11), 1747. (doi: 10.3390/atmos13111747)

Das, S. , Kamruzzaman, M. and Islam, A. R. M. T. (2022) Assessment of characteristic changes of regional estimation of extreme rainfall under climate change: A case study in a tropical monsoon region with the climate projections from CMIP6 model. Journal of Hydrology, 610, 128002. (doi: 10.1016/j.jhydrol.2022.128002)

Das, S. and Wahiduzzaman, M. (2022) Identifying meaningful covariates that can improve the interpolation of monsoon rainfall in a low‐lying tropical region. International Journal of Climatology, 42(3), pp. 1500-1515. (doi: 10.1002/joc.7316)

Das, S. (2022) Performance of a multi-parameter distribution in the estimation of extreme rainfall in tropical monsoon climate conditions. Natural Hazards, 110(1), pp. 191-205. (doi: 10.1007/s11069-021-04942-z)

Das, S. (2021) Extreme rainfall estimation at ungauged locations: information that needs to be included in low-lying monsoon climate regions like Bangladesh. Journal of Hydrology, 601, 126616. (doi: 10.1016/j.jhydrol.2021.126616)

Das, S. and Islam, A. R. M. T. (2021) Assessment of mapping of annual average rainfall in a tropical country like Bangladesh: remotely sensed output vs. kriging estimate. Theoretical and Applied Climatology, 146, pp. 111-123. (doi: 10.1007/s00704-021-03729-3)

Das, S. and Zhu, D. (2021) Comparison between observed and remotely sensed attributes to include in the region-of-influence approach of extreme precipitation estimation: a case study in the Yangtze River basin, China. Hydrological Sciences Journal, 66(12), pp. 1777-1789. (doi: 10.1080/02626667.2021.1962886)

Das, S. , Zhu, D. and Yin, Y. (2020) Comparison of mapping approaches for estimating extreme precipitation of any return period at ungauged locations. Stochastic Environmental Research and Risk Assessment, 34(8), pp. 1175-1196. (doi: 10.1007/s00477-020-01828-7)

Das, S. , Zhu, D. and Cheng, C.-H. (2020) A regional approach of decadal assessment of extreme precipitation estimates: a case study in the Yangtze River Basin, China. Pure and Applied Geophysics, 177(2), pp. 1079-1093. (doi: 10.1007/s00024-019-02354-6)

Das, S. (2020) Assessing the regional concept with sub-sampling approach to identify probability distribution for at-site hydrological frequency analysis. Water Resources Management, 34(2), pp. 803-817. (doi: 10.1007/s11269-019-02475-6)

Das, S. (2019) Extreme rainfall estimation at ungauged sites: Comparison between region-of-influence approach of regional analysis and spatial interpolation technique. International Journal of Climatology, 39(1), pp. 407-423. (doi: 10.1002/joc.5819)

Das, S. (2018) Goodness-of-Fit tests for generalized normal distribution for use in hydrological frequency analysis. Pure and Applied Geophysics, 175(10), pp. 3605-3617. (doi: 10.1007/s00024-018-1877-y)

Zhu, D., Das, S. and Ren, Q. (2017) Hydrological appraisal of climate change impacts on the water resources of the Xijiang Basin, South China. Water, 9(10), 793. (doi: 10.3390/w9100793)

Das, S. (2017) An assessment of using subsampling method in selection of a flood frequency distribution. Stochastic Environmental Research and Risk Assessment, 31(8), pp. 2033-2045. (doi: 10.1007/s00477-016-1318-3)

Das, S. (2017) Performance of region-of-influence approach of frequency analysis of extreme rainfall in monsoon climate conditions. International Journal of Climatology, 37(S1), pp. 612-623. (doi: 10.1002/joc.5025)

Bodrud-Doza, M., Islam, A.R.M. T., Ahmed, F., Das, S. , Saha, N. and Rahman, M. S. (2016) Characterization of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh. Water Science, 30(1), pp. 19-40. (doi: 10.1016/j.wsj.2016.05.001)

Das, S. and Cunnane, C. (2012) Performance of flood frequency pooling analysis in a low CV context = Performances de l'analyse de fréquence de crues regroupées dans un contexte de coefficient de variation faible. Hydrological Sciences Journal, 57(3), pp. 433-444. (doi: 10.1080/02626667.2012.666635)

Das, S. and Cunnane, C. (2011) Examination of homogeneity of selected Irish pooling groups. Hydrology and Earth System Sciences, 15(3), pp. 819-830. (doi: 10.5194/hess-15-819-2011)

Das, S. , Sadiq, R. and Tesfamariam, S. (2011) An aggregative fuzzy risk analysis for flood incident management. International Journal of System Assurance Engineering and Management, 2(1), pp. 31-40. (doi: 10.1007/s13198-011-0053-x)

Conference Proceedings

Das, S. and Lim, L. H. I. (2024) Enhancing Civil Engineering Education: A Comprehensive Analysis of Student Perspectives on Technology-Integrated Learning. In: 2024 IEEE Global Engineering Education Conference (EDUCON), Kos Island, Greece, 08-11 May 2024, ISBN 9798350394023 (doi: 10.1109/educon60312.2024.10578619)

Kim, Y. , Idris, L. L. H., Das, S. and Yau, P. C. (2024) Development Of Project-Based Learning In Civil Engineering. In: 18th Annual International Technology, Education and Development Conference (INTED 2024), Valencia, Spain, 04-06 Mar 2024, pp. 5942-5948. ISBN 9788409592159 (doi: 10.21125/inted.2024.1558)