Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models
Hydrological modelling can be complex in nonhomogeneous catchments with diverse
geological, climatic, and topographic conditions. In this study, an integrated conceptual …
geological, climatic, and topographic conditions. In this study, an integrated conceptual …
Assessing climate vulnerability and nonlinear rainfall dynamics in complex networks
H Tongal - Stochastic Environmental Research and Risk …, 2024 - Springer
To decisively confront the far-reaching impacts of climate change, it is crucial to identify
regions that are vulnerable and sensitive to changes in rainfall patterns. Understanding sub …
regions that are vulnerable and sensitive to changes in rainfall patterns. Understanding sub …
Risk of groundwater depletion in Jaipur district, India: a prediction of groundwater for 2028 using artificial neural network
M Mondal - Rendiconti Lincei. Scienze Fisiche e Naturali, 2024 - Springer
The rapidly declining groundwater table calls for risk assessment for future water scarcity
conditions in the Jaipur district, a naturally water-scarce region. The study tries to …
conditions in the Jaipur district, a naturally water-scarce region. The study tries to …