Srinivas Rallapalli

Professional head shot of Srinivas Rallapalli who is wearing a blue button up and is posed in front of a grey background.
Adjunct Assistant Professor
[email protected]
612-625-5200
310 BioAgEng Building

1390 Eckles Ave.
St. Paul, MN 55108
United States

External Affiliations

BITS, Pilani, India

Areas of Interest

Environmental and ecological engineering
 

Select Publications

  • Rai, S., Jain, S., Rallapalli, S., Magner, J., Singh, A. P., & Goonetilleke, A. (2024). Effect of varying hydrologic regime on seasonal total maximum daily loads (TDML) in an agricultural watershed. Water Research, 249, 120998.
  • Shubham Aggarwal, Joe Magner, Rallapalli Srinivas, Gouri Sajith (2022). Managing nitrate‑nitrogen in the intensively drained
    upper Mississippi River Basin, USA under uncertainty:
    a perennial path forward, Environmental Monitoring and Assessment, 194:704.  https://doi.org/10.1007/s10661-022-10401-4
  • Shubham Aggarwal, Rallapalli Srinivas, Harish Puppala, Joe Magner (2022). Integrated decision support for promoting crop rotation based sustainable agricultural management using geoinformatics and stochastic optimization, Computers and Electronics in Agriculture, 200, 107213.
  • Srinivas Rallapalli, Matt Drewitz, Joe Magner, Harish Puppala, Ajit Pratap Singh (2022). LiDAR based hydro-conditioned hydrological modeling for enhancing precise conservation practice placement in agricultural watersheds. Water Resources Management, https://doi.org/10.1007/s11269-022-03237-7.
  • Srinivas Rallapalli, Matt Drewitz, Joe Magner, Ajit Pratap Singh, Ashantha Goonetilleke (2022). Hydro-conditioning: Advanced approaches for cost-effective water quality management in agricultural watersheds. Water Research, 220, 118647.
    https://doi.org/10.1016/j.watres.2022.118647
  • Gouri Sajith, Rallapalli Srinivas, Alexander Golberg, Joe Magner. (2022). Bio-inspired and artificial intelligence enabled hydro-economic model for diversified agricultural management, Agricultural Water Management, Special issue: Irrigation economics, 269, 107638.
    https://doi.org/10.1016/j.agwat.2022.107638.
  • Saumitra Rai, Rallapalli Srinivas, Joe Magner. (2022). Using fuzzy logic-based hybrid modeling to guide riparian best management practices selection in tributaries of the Minnesota River Basin. Journal of Hydrology, 608,127628.
    https://doi.org/10.1016/j.jhydrol.2022.127628.
  • Thakur, T., Mehra, A., Hassija, V., Chamola, V., Srinivas, R., Gupta, K. K., & Singh, A. P. (2021). Smart water conservation through a machine learning and blockchain-enabled decentralized edge computing network. Applied Soft Computing, 107274.
  • Srinivas, R., Aggarwal, S., & Singh, A. P. (2021). Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology. Science of The Total Environment, 146294.
  • Srinivas, R., Drewitz, M., Magner, J. (2020). Evaluating watershed-based optimized decision support framework for conservation practice placement in Plum Creek Minnesota, Journal of Hydrology, Elsevier, 583, 124573
  • Srinivas, R., Singh, A.P., Dhadse, K., Magner, J. (2020) Hydroclimatic river discharge and seasonal trends assessment model using an advanced spatio-temporal model, Stochastic Environmental Research and Risk Assessment, Springer, 34, 381–396