MI Khan, R Maity - IEEE Access, 2020 - ieeexplore.ieee.org
Deep Learning (DL) is an effective technique for dealing with complex systems. This study proposes a hybrid DL approach, a combination of one-dimensional Convolutional Neural …
S Ranjan, V Singh - Water Practice & Technology, 2022 - iwaponline.com
Various hydrological models were used in different river basins to simulate the runoff on available rainfall, land use and soil property data. The HEC-HMS model is used by several …
Tropical regions are characterized by hydrological extreme events, which are likely to be exacerbated by climate change. Therefore, quantifying the extent to which climate change …
R Dutta, R Maity - Journal of Hydrology, 2021 - Elsevier
Hydrologic extremes often lead to droughts and floods that adversely affect the socio- economic development. Change in the characteristics and causes of hydrologic extremes …
S Dash, R Maity - Theoretical and Applied Climatology, 2019 - Springer
Over the past century, extreme precipitation events have posed many problems on socio- economic status of India, a country that spans over a wide variety of climate regimes …
Climate is a complex environment that is evolving primarily as the greenhouse gases increase. Due to the importance of climate change and the impact it can have on water …
The hydrological models are used for simulating the runoff of a river basin based on available rainfall data and other parameters. Over the years, several hydrological models …
R Dutta, R Maity - Water Resources Research, 2020 - Wiley Online Library
Lack of stationarity in most of the hydroclimatic variables is no longer a topic of debate rather a reality. It may be hypothesized that alternative methodologies are needed to deal with …
Water quality monitoring of reservoirs is currently a significant challenge in the tropical regions of the world due to limited monitoring stations and hydrological data. Remote …