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Swarnadeepa Chakraborty

About


Designation: Research Scholar
Degree: Ph. D.
Fellowship: INSTITUTE
Enrollment No.: 122017AE05, Date: 17 Jul 2017
Registration No.: PhD/R/2018/0078, Date: 12 Sep 2018Supervisor: Sujata Biswas

Academic Qualification

Ph.D.


Research Area


Topic: Prediction of stage and discharge by hybrid machine learning techniques and flood hazard, vulnerability and risk assessment of a catchment using HEC-RAS and GIS based MCDA

Publications


1. Chakraborty, S. and Biswas, S., River discharge prediction using wavelet based artificial neural network and long short-term memory models: a case study of Teesta River Basin, India. Stochastic Environmental Research and Risk Assessment, 37, 3163-3184, Stochastic Environmental Research and Risk Assessment, 2023

2. Chakraborty, S. and Biswas, S., Simulation of Flow at an ungauged river site based on HEC-HMS model for a mountainous river basin, 14, Arabian Journal of Geosciences, 2021

3. Chakraborty, S. and Biswas, S., Application of Geographic Information System and HEC-RAS in Flood Risk Mapping of a Catchment, Applications of Geomatics in Civil Engineering, Lecture Notes in Civil Engineering, Springer Nature Singapore Pte Ltd.33, 215-224, , 2018