Publications

Publications:

Gorugantula, S. S., & Kambhammettu, B. P. (2022). An integrated hydrological model to simulate terrestrial water storage in a large river basin: Evaluation using GRACE data. Manuscript Prepared.

Gorugantula, S. S., & Kambhammettu, B. P. (2022).Multi-variate drought indices to analyse spatiotemporal drought propagation in a semiarid river basin. Natural Hazards (Under Review).

Gorugantula, S. S., & Kambhammettu, B. P. (2022). Sequential downscaling of GRACE products to map groundwater level changes in Krishna River basin. Hydrological Sciences Journal, 67(12), 1846-1859.

Jyolsna, P. J., Kambhammettu, B. V. N. P., & Gorugantula, S. (2021). Application of random forest and multi-linear regression methods in downscaling GRACE derived groundwater storage changes. Hydrological Sciences Journal, 66(5), 874-887.

Poduri, S., Kambhammettu, B. V. N. P., & Gorugantula, S. (2021). A new randomized binary prior model for hydraulic tomography in fractured aquifers. Groundwater. 

Srinivas, G. S., & KBVN, P. (2019). Evaluation of aquifer characterization methods using sandbox experiments and numerical studies (Masters dissertation, Indian institute of technology Hyderabad). 

Conferences:

Gorugantula, S. S., & Kambhammettu, B. P. (2022, December). Evaluation of GRACE performance by improving the resolution based on artificial intelligence downscaling methods. In Indian Groundwater Conference (INGWC-2023).

Gorugantula, S. S., & Kambhammettu, B. P. (2022, December).Improving the performance of GRACE solutions by capturing seasonality using deep learning models to map groundwater level anomalies. In International Groundwater Conference (IGWC-2022).  

Gorugantula, S. S., & Kambhammettu, B. P. (2022, December). Spatial downscaling of GRACE products by capturing the seasonality using LSTM in Krishna river. In AGU Fall Meeting Abstracts (Vol. 2022, pp. NS45A-0320).  

Sai Srinivas Gorugantula, SJ Lakshmi, Bvn P Kambhammettu . (2022, December). Influence of potential factors for characterizing the drought propagation from meteorological to hydrological and agricultural droughts in Krishna river basin . In AGU Fall Meeting Abstracts (Vol. 2022, pp. H32O-1105).  

Gorugantula,S., Kambhammettu, B. V. N. P. (2021). Spatial downscaling of GRACE satellite data using deep learning techniques. (Hydro International 2021).

Gorugantula, S. S., Kambhammettu, B. P., & PJ, J. (2020, December). Application of machine learning models in downscaling GRACE derived groundwater storage changes for different hydro-geologic basins of India. In AGU Fall Meeting Abstracts (Vol. 2020, pp. H064-0002).