- B.E. (B.E.College, D. U.), 2002
- M.E. (Jadavpur University), 2004
- PhD (IISc Bangalore), 2015
Increasing global mean temperature or global warming has the potential to affect the hydrologic
cycle. In the 21st century, according to the UN Intergovernmental Panel on Climate Change (IPCC),
alterations in the frequency and magnitude of high intensity rainfall events are very likely. Increasing
trend of urbanization across the globe is also noticeable, simultaneously. These changes will have a
great impact on water infrastructure as well as environment in urban areas. One of the impacts may be
the increase in frequency and extent of flooding. India, in the recent years, has witnessed a number of
urban floods that have resulted in huge economic losses, an instance being the flooding of Mumbai in
July, 2005. To prevent catastrophic damages due to floods, it has become increasingly important to
understand the likely changes in extreme rainfall in future, its effect on the urban drainage system,
and the measures that can be taken to prevent or reduce the damage due to floods. Reliable estimation
of future design rainfall intensity accounting for uncertainties due to climate change is an important
research issue. In this context, rainfall intensity-duration-frequency (IDF) relationships are one of the
most extensively used hydrologic tools in planning, design and operation of various drainage related
infrastructures in urban areas.
1
Dwijaraj Paul Chowdhury, Ujjwal Saha, Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm, Earth Science Informatics [ESCI (IF 2.9)], 2024
2
Syamantak Bhunia, Ujjwal Saha, Long-range Forecasting of Daily Rainfall Using Machine Learning Techniques, Accepted, Int. J. of Hydrology Science and Technology [ESCI (IF 1.8)], 2024
3
Md Saddam Hossain, Ujjwal Saha, Study on Shoreline Migration and Island Dynamics over the Last Five Decades in Muriganga River Using Multi-temporal Satellite Images, 196, 199, Environmental Monitoring and Assessment [SCIE (IF 3.2)], 2024
4
Debarghya Bhattacharyya, Priyam Deka, Ujjwal Saha, Applicability of statistical and deep-learning models for rainfall disaggregation at metropolitan stations in India, 51, 101616, Journal of Hydrology: Regional Studies [SCIE (IF 4.4)], 2023
5
Debarghya Bhattacharyya, Ujjwal Saha, Geographical Transferability of Pre-Trained K-Means Clustering - ANN Model for Disaggregation of Rainfall Data in Indian Monsoon Climate., 28 (12), 04023040, Journal of Hydrologic Engineering [SCIE (IF 2.2)], 2023
6
Priyam Deka, Ujjwal Saha, Introduction of k-means clustering into random cascade model for disaggregation of rainfall from daily to 1-hour resolution with improved preservation of extreme rainfall, 620 (Part B), 129478, Journal of Hydrology [SCIE (IF 6.4)], 2023
7
Debarghya Bhattacharyya, Ujjwal Saha, Deep Learning Application for Disaggregation of Rainfall with Emphasis on Preservation of Extreme Rainfall Characteristics for Indian Monsoon Conditions., 37, 1021-1038, Stochastic Environmental Research and Risk Assessment [SCIE (IF 3.5)], 2023
8
Subrata Halder, Ujjwal Saha, Future Projection of Extreme Rainfall for Flood Management due to Climate Change in an Urban Area, 7(3), 04021012, Journal of Sustainable Water in the Built Environment [ESCI (IF 2.3)], 2021
9
Ujjwal Saha, Hourly Rainfall Generation by Markov Chain Rainfall Generator, 4, 26-30, International Journal of Advances in Mechanical and Civil Engineering, 2017
10
Ujjwal Saha, Management of Urban Water Systems Considering the Impacts of Climate Change, Proc of Seminar on Sustainable development and urbanisation of Indian Building Congress, West Bengal State Centre, Kolkata, 10th September (2016)., 2016
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