Publications

Showing 16 of 16 publications

1. Journal Article · Water Management

   Simulation-optimization for conjunctive water resources management and optimal crop planning in Kushabhadra-Bhargavi river delta of Eastern India

   Jha, M.K., Peralta, R.C., Sahoo, S.

   International Journal of Environmental Research and Public Health 17(10): 3521 · 2020

   • 16 citations
   • Impact factor 3.4
   • Open access

   Simulation-optimization modeling for conjunctive water resources management and optimal crop planning in deltaic regions of Eastern India.

   Keywords: Simulation-Optimization, Water Resources Management, Crop Planning, India

   DOI 10.3390/ijerph17103521 (opens in a new tab)View at publisher  → (opens in a new tab)

2. Conference Abstract · Digital Agriculture

   Coupling crop simulation and machine learning models for scaling up predictions of switchgrass productivity on marginal soils

   Martinez-Feria, R., Maureira, F., Sahoo, S., Basso, B.

   ASA, CSSA and SSSA International Annual Meetings · Virtual Conference · 2020

   • 0 citations
   • Open access

   Integration of crop simulation models with machine learning approaches for predicting switchgrass productivity on marginal agricultural lands.

   Keywords: Crop Simulation, Machine Learning, Switchgrass, Marginal Soils, Productivity

3. Journal Article · Hydrology

   Machine learning algorithms for modeling groundwater level changes in agricultural regions of the United States

   Sahoo, S., Russo, T.A., Elliott, J., Foster, I.

   Water Resources Research 53: 3878-3895 · 2017

   • 411 citations
   • Impact factor 5.4
   • Subscription

   Groundwater depletion in agricultural regions of the United States poses significant challenges for food security and economic sustainability. This study develops machine learning algorithms to predict groundwater level changes using climate data, streamflow, and irrigation demand across major agricultural regions.

   Keywords: Groundwater, Machine Learning, Agriculture, Climate Change, Neural Networks

   DOI 10.1002/2016WR019933 (opens in a new tab)View at publisher  → (opens in a new tab)

4. Journal Article · Machine Learning

   Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms

   Sahoo, S., Jha, M.K.

   Hydrogeology Journal 25(2): 311-330 · 2017

   • 73 citations
   • Impact factor 2.8
   • Open access

   This study explores hybrid soft-computing frameworks using artificial neural networks, genetic algorithms, and self-organizing maps for subsurface lithology characterization in complex groundwater basins.

   Keywords: Neural Networks, Self-Organizing Maps, Genetic Algorithms, Lithology, Pattern Recognition

   DOI 10.1007/s10040-016-1478-8 (opens in a new tab)View at publisher  → (opens in a new tab)

5. Journal Article · Hydrogeology

   Numerical groundwater-flow modeling to evaluate potential effects of pumping and recharge: implications for sustainable groundwater management in the Mahanadi delta region, India

   Sahoo, S., Jha, M.K.

   Hydrogeology Journal 25(8): 2489-2511 · 2017

   • 54 citations
   • Impact factor 2.8
   • Open access

   A quasi-three-dimensional transient groundwater flow model was developed using MODFLOW to simulate the groundwater system of Mahanadi River delta, eastern India, considering complex multi-layered aquifer systems and saltwater intrusion challenges.

   Keywords: MODFLOW, Groundwater Management, Coastal Aquifer, India, Sustainable Water Resources

   DOI 10.1007/s10040-017-1610-4 (opens in a new tab)View at publisher  → (opens in a new tab)

6. Journal Article · Hydrology

   Comment on 'Quantifying renewable groundwater stress with GRACE' by Alexandra S. Richey et al.

   Sahoo, S., Russo, T., Lall, U.

   Water Resources Research 52(5): 4184-4187 · 2016

   • 18 citations
   • Impact factor 5.4
   • Open access

   Critical commentary on methodological approaches for quantifying renewable groundwater stress using GRACE satellite data.

   Keywords: GRACE, Groundwater Stress, Remote Sensing, Methodology

   DOI 10.1002/2015WR018421 (opens in a new tab)View at publisher  → (opens in a new tab)

7. Journal Article · Hydrogeology

   Hydrologic and hydrogeologic analyses of an alluvial aquifer underlying Kushabhadra-Bhargavi River basin, Odisha, India

   Nayak, A.K., Sahoo, S., Jha, M.K., Pingale, S.M.

   Arabian Journal of Geosciences 9: 1-14 · 2016

   • 1 citation
   • Impact factor 1.9
   • Subscription

   Comprehensive hydrologic and hydrogeologic analysis of alluvial aquifer systems in the Kushabhadra-Bhargavi River basin, Odisha, India.

   Keywords: Alluvial Aquifer, Hydrologic Analysis, Hydrogeology, India

   DOI 10.1007/s12517-016-2354-z (opens in a new tab)View at publisher  → (opens in a new tab)

8. Conference Abstract · Climate Science

   Future Climate Impacts on Crop Water Demand and Groundwater Longevity in Agricultural Regions

   Russo, T.A., Sahoo, S., Elliott, J.W., Foster, I.

   AGU Fall Meeting · San Francisco, CA, USA · 2016

   • 2 citations
   • Open access

   Assessment of future climate impacts on crop water demand and implications for groundwater sustainability in major agricultural regions.

   Keywords: Climate Change, Crop Water Demand, Groundwater, Agricultural Regions

9. Conference Abstract · Climate Science

   Past and future weather-induced risk in crop production

   Elliott, J.W., Glotter, M., Russo, T.A., Sahoo, S., Foster, I., Benton, T., Müller, C.

   AGU Fall Meeting · San Francisco, CA, USA · 2016

   • 1 citation
   • Open access

   Analysis of past and future weather-induced risks in crop production systems under changing climate conditions.

   Keywords: Weather Risk, Crop Production, Climate Change, Agricultural Risk

10. Journal Article · GIS & Remote Sensing

    Evaluation of GIS-based multicriteria decision analysis and probabilistic modeling for exploring groundwater prospects

    Sahoo, S., Jha, M.K., Kumar, N., Chowdary, V.M.

    Environmental Earth Sciences 74(3): 2223-2246 · 2015

    • 48 citations
    • Impact factor 2.8
    • Subscription

    Integration of remote sensing and GIS techniques with multicriteria decision analysis for groundwater prospecting, comparing AHP, frequency ratio, and weight of evidence methods.

    Keywords: GIS, MCDA, Groundwater Prospecting, Remote Sensing, AHP

    DOI 10.1007/s12665-015-4213-1 (opens in a new tab)View at publisher  → (opens in a new tab)

11. Journal Article · Machine Learning

    On the statistical forecasting of groundwater levels in unconfined aquifer systems

    Sahoo, S., Jha, M.K.

    Environmental Earth Sciences 73(6): 3119-3136 · 2015

    • 39 citations
    • Impact factor 2.8
    • Subscription

    Statistical forecasting techniques for predicting groundwater levels in unconfined aquifer systems using time series analysis and machine learning approaches.

    Keywords: Statistical Forecasting, Groundwater Levels, Time Series, Unconfined Aquifer

    DOI 10.1007/s12665-014-3608-y (opens in a new tab)View at publisher  → (opens in a new tab)

12. Journal Article · Machine Learning

    Efficacy of neural network and genetic algorithm techniques in simulating spatio‐temporal fluctuations of groundwater

    Jha, M.K., Sahoo, S.

    Hydrological Processes 28: 3615-3638 · 2014

    • 103 citations
    • Impact factor 3.2
    • Open access

    This study evaluates the efficacy of neural network and genetic algorithm techniques for simulating spatio-temporal fluctuations of groundwater levels in complex aquifer systems.

    Keywords: Neural Networks, Genetic Algorithms, Spatio-temporal Analysis, Groundwater, Simulation

    DOI 10.1002/hyp.9969 (opens in a new tab)View at publisher  → (opens in a new tab)

13. Journal Article · Geostatistics

    Analysis of spatial variation of groundwater depths using geostatistical modeling

    Sahoo, S., Jha, M.K.

    International Journal of Applied Engineering Research 9(3): 317-322 · 2014

    • 12 citations
    • Impact factor 0.8
    • Open access

    Geostatistical modeling approaches for analyzing spatial variation patterns in groundwater depth measurements.

    Keywords: Geostatistics, Spatial Variation, Groundwater Depth, Modeling

14. Conference Paper · Machine Learning

    APPLICATION OF HYBRID NEURAL NETWORKS IN THE PREDICTION OF GROUNDWATER SALINITY

    Sahoo, S., Sahoo, M., Jha, M.K.

    International Conference on Water Resources Engineering · India · 2014

    • 0 citations
    • Open access

    Application of hybrid neural network approaches for predicting groundwater salinity in coastal aquifer systems.

    Keywords: Hybrid Neural Networks, Groundwater Salinity, Coastal Aquifer, Prediction

15. Journal Article · Machine Learning

    Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment

    Sahoo, S., Jha, M.K.

    Hydrogeology Journal 21(8): 1865-1887 · 2013

    • 264 citations
    • Impact factor 2.8
    • Open access

    A comprehensive comparison of multiple linear regression and artificial neural network techniques for groundwater level prediction in unconfined aquifer systems, demonstrating superior performance of hybrid ANN models.

    Keywords: Artificial Neural Networks, Groundwater Prediction, Time Series, Comparative Study

    DOI 10.1007/s10040-013-1029-5 (opens in a new tab)View at publisher  → (opens in a new tab)

16. Conference Paper · Hydrogeology

    Evaluation of groundwater sustainability in a deltaic region of Mahanadi, Odisha

    Sahoo, S., Jha, M.K.

    47th Annual Convention of Indian Society of Agricultural Engineers · Odisha, India · 2013

    • 0 citations
    • Open access

    Evaluation of groundwater sustainability challenges and management strategies in the deltaic region of Mahanadi River basin, Odisha.

    Keywords: Groundwater Sustainability, Deltaic Region, Mahanadi, Water Management