Sahoo, S., Russo, T.A., Elliott, J. and Foster, I. (2017). Machine learning algorithms for modeling groundwater level changes in agricultural regions of the United States. Water Resources Research, 53, doi: 10.1002/2016WR019933. Get it!
Sahoo, S. and Jha, M.K. (2017). Numerical groundwater-flow modeling to evaluate potential effects of pumping and recharge: implications for sustainable groundwater management in the Mahanadi delta region, India. Hydrogeology Journal, doi: 10.1007/s10040-017-1610-4. Get it!
Sahoo, S. and Jha, M.K. (2016). Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms. Hydrogeology Journal, 25(2): 311–330. Get it!
Sahoo, S., Russo, T.A. and Lall, U. (2016). Comment on “Quantifying renewable groundwater stress with GRACE” by Alexandra S. Richey et al., Water Resources Research, 52, 4184–4187, doi: 10.1002/2015WR018085. Get it!
Sahoo, S., Jha, M.K., Kumar, N. and Chowdary, V.M. (2015). Evaluation of GIS-based multicriteria decision analysis and probabilistic modeling for exploring groundwater prospect. Environmental Earth Sciences, 74(3): 2223-2246. Get it!
Nayak, A.K., Sahoo, S., Jha, M.K. and Pingale, S. M. (2016). Hydrologic and hydrogeologic analyses of an alluvial aquifer underlying Kushabhadra-Bhargavi River basin, Odisha, India. Arabian Journal of Geosciences, 9(15): 658. Get it!
Sahoo, S. and Jha, M.K. (2015). On the statistical forecasting of groundwater levels in unconfined aquifer systems. Environmental Earth Sciences, 73(7): 3119-3136. Get it!
Jha, M.K. and Sahoo, S. (2015). Efficacy of neural network and genetic algorithm techniques in simulating spatio-temporal fluctuations of groundwater. Hydrological Processes, 29(5): 671-691. Get it!
Sahoo, S. and Jha, M.K. (2014). Analysis of spatial variation of groundwater depths using geostatistical modeling. International Journal of Applied Engineering Research, 9(3): 317-322. Get it!
Sahoo, S. and Jha, M.K. (2013). Application of hybrid neural network technique in modeling water table fluctuations. Journal of Groundwater Research, 2(1): 9-19. Get it!
Sahoo, S. and Jha, M.K. (2013). Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment. Hydrogeology Journal, 21(8): 1865-1887. Get it!
Jha, M.K., Sahoo, S., Chowdary, V.M. and Kumar, N. (2016). GIS-based probabilistic models as spatial prediction tools for mapping regional groundwater potential. In: M. Thangarajan and V.P. Singh (editors), Groundwater: Assessment, Modeling and Management, CRC Press, London, U.K., Chapter 6. Get it!
Sahoo, S., Russo, T.A., Edwards, P., Bucklew, V. and Liu, Z. Detection of water and nutrient stress in plants using smartphone-assisted spectrophotometer and machine learning classifiers. [In Prep].
Sahoo, S., Russo, T.A., Elliott, J. and Foster, I. Potential impacts of climate change and irrigation demand on future groundwater projections in agricultural regions of the U.S. [In Prep].
(First author is the presenter, unless otherwise noted)
Sahoo, S., Russo, T.A., Edwards, P., Bucklew, V. and Liu, Z. (2018). Quantification of water- and nutrient-stress using a handheld spectrophotometer and machine learning models, Resources for Future Generations 2018, June 16-21, 2018, Vancouver, BC, Canada (Poster).
Sahoo, S., Russo, T.A., Elliott, J., Troy, T. and Foster, I. (2017). Estimation of future groundwater stress in a changing climate using machine learning methods, Big Data and the Earth Sciences: Grand Challenges, May 31-June 2 2017, UCSD, San Diego, CA, USA.
Sahoo, S., Russo, T.A., Elliott, J., Troy, T. and Foster, I. (2017). Potential impacts of climate change and irrigation demand on future groundwater projections in the United States, Pennsylvania Groundwater Symposium, May 3 2017, State College, PA, USA (Poster).
Russo, T.A., Sahoo, S., Elliott, J., Troy, T. and Foster, I. (2016). Future climate impacts on crop water demand and groundwater longevity in agricultural regions, American Geophysical Union Fall Meeting, December 12-16 2016, San Francisco, CA, USA.
Sahoo, S., Russo, T.A., Elliott, J. and Foster, I. (2016). Groundwater response to climate change impacts and crop water demand in agricultural regions of U.S., Center for Robust Decision making on Climate and Energy Policy (RDCEP), October 17-18 2016, University of Chicago, USA.
Sahoo, S., Russo, T.A. and Elliott, J. (2016). Characterizing groundwater-climate-irrigation dynamics in the United States. National Groundwater Association (NGWA) Summit, April 24-27 2016, Denver, CO, USA.
Sahoo, S., Russo, T.A. and Elliott, J. (2016). Modeling of climate-irrigation-groundwater dynamics in the High Plains aquifer, United States. World Cafe-16, Food-Energy-Water Nexus, 16th National Conference and Global Forum on Science, Policy, and the Environment, January 19-21 2016, Washington, DC, USA.
Sahoo, S. and Russo, T.A. (2015). Estimation of groundwater storage changes in the Ogallala Aquifer, United States. 8th Annual Postdoc Research Exhibition, Sep 23 2015, Pennsylvania State University, PA, USA (Poster, First Prize).
Sahoo, S. and Jha, M.K. (2014). Assessment of groundwater recharge using water-table fluctuation method and water balance model. Seventh International Conference on Environmental Science and Technology (ICEST 2014), American Academy of Sciences, June 9-13 2014, Houston, Texas, USA (Best paper awarded).
Sahoo, S. and Jha, M.K. (2013). Statistical modeling of groundwater in an alluvial aquifer system. 100th Indian Science Congress (ISC-2013), Engineering Sciences, January 3-7 2013, Calcutta University, Kolkata, India.
Sahoo, S., Sahoo, M. and Jha, M.K. (2013). Prediction of groundwater salinity using hybrid neural networks. International Conference on Hydraulics, Water Resources, Coastal and Environmental Engineering (HYDRO), December 4-6 2013, IIT Madras, Chennai, India.
Sahoo, S. and Jha, M.K. (2013). Evaluation of groundwater sustainability in a deltaic region of Mahanadi, Odisha. 47th Annual Convention of Indian Society of Agricultural Engineers (ISAE), January 28-30 2013, ANGRAU, Hyderabad, India.
Sahoo, S. and Jha, M.K. (2012). Hybrid neural network technique in simulation of groundwater levels. Fifth International Groundwater Conference (IGWC), Modeling and Management Aspects of Groundwater, December 18-21 2012, Aurangabad, Maharashtra, India (Best paper awarded).