Praneeth Gurumurthy
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Praneeth Gurumurthy has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
David A. Vaccari
Professor, Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ 07030
1 shared publication- James F. Booth
Department of Earth and Atmospheric Sciences City College of the City University of New York New York NY USA
1 shared publication - Nickitas Georgas
Davidson Laboratory, Stevens Institute of Technology, Hoboken, NJ 07030, USA
1 shared publication - Philip Mark Orton
Davidson Laboratory Department of Civil, Environmental and Ocean Engineering Stevens Institute of Technology Hoboken NJ USA
1 shared publication - Sarath Chandra Kumar Jagupilla
Department of Civil, Ocean and Environmental Engineering, Stevens Institute of Technology, Castle Point on Hudson, Hoboken, NJ 07030, USA
1 shared publication - Stefan Andreas Talke
Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, California, USA
1 shared publication
Latest Publications
- 1 April 2020
- Published by American Society of Civil Engineers (ASCE) in Journal of Environmental Engineering
- Vol. 146 (4)
Prediction of Boundary and Stormwater E. Coli Concentrations Using River Flows and Baseflow Index
E. coli (EC) concentrations of the upstream boundary, tributaries, and stormwater in the lower Passaic River at Paterson, New Jersey, were modeled using multivariate polynomial regression (MPR). Baseflow indexes (BFIs) and river flows from upstream and downstream boundaries of the study area were used as predictors. The MPR models were developed by stepwise addition of the candidate terms. The candidate terms were selected based on their -statistics and the final term was selected based on the Nash-Sutcliffe efficiency (NSE) of the overall model. The NSE values of the models ranged from 0.61 to 0.88. The boundary concentrations were earlier modeled using symbolic regression without BFI as a predictor, resulting in a set of highly complex models for the same data. This study demonstrates the suitability of BFI as a water quality predictor and the importance of identifying suitable predictors to develop defensible empirical water quality models. Further, the relation between EC concentrations and BFI could be used to infer whether the predominant pollutant source at a location is independent of rainfall or is rainfall driven.- 1 April 2020
- Published by American Society of Civil Engineers (ASCE) in Journal of Environmental Engineering
- Vol. 146 (4)
Prediction of Boundary and Stormwater E. Coli Concentrations Using River Flows and Baseflow Index
E. coli (EC) concentrations of the upstream boundary, tributaries, and stormwater in the lower Passaic River at Paterson, New Jersey, were modeled using multivariate polynomial regression (MPR). Baseflow indexes (BFIs) and river flows from upstream and downstream boundaries of the study area were used as predictors. The MPR models were developed by stepwise addition of the candidate terms. The candidate terms were selected based on their -statistics and the final term was selected based on the Nash-Sutcliffe efficiency (NSE) of the overall model. The NSE values of the models ranged from 0.61 to 0.88. The boundary concentrations were earlier modeled using symbolic regression without BFI as a predictor, resulting in a set of highly complex models for the same data. This study demonstrates the suitability of BFI as a water quality predictor and the importance of identifying suitable predictors to develop defensible empirical water quality models. Further, the relation between EC concentrations and BFI could be used to infer whether the predominant pollutant source at a location is independent of rainfall or is rainfall driven.- Open Access
- 23 May 2019
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 7 (5) , 160
Mechanics and Historical Evolution of Sea Level Blowouts in New York Harbor
Wind-induced sea level blowouts, measured as negative storm surge or extreme low water (ELW), produce public safety hazards and impose economic costs (e.g., to shipping). In this paper, we use a regional hydrodynamic numerical model to test the effect of historical environmental change and the time scale, direction, and magnitude of wind forcing on negative and positive surge events in the New York Harbor (NYH). Environmental sensitivity experiments show that dredging of shipping channels is an important factor affecting blowouts while changing ice cover and removal of other roughness elements are unimportant in NYH. Continuously measured water level records since 1860 show a trend towards smaller negative surge magnitudes (measured minus predicted water level) but do not show a significant change to ELW magnitudes after removing the sea-level trend. Model results suggest that the smaller negative surges occur in the deeper, dredged modern system due to a reduced tide-surge interaction, primarily through a reduced phase shift in the predicted tide. The sensitivity of surge to wind direction changes spatially with remote wind effects dominating local wind effects near NYH. Convergent coastlines that amplify positive surges also amplify negative surges, a process we term inverse coastal funneling.
- 23 May 2019
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 7 (5) , 160
Open AccessMechanics and Historical Evolution of Sea Level Blowouts in New York Harbor
Wind-induced sea level blowouts, measured as negative storm surge or extreme low water (ELW), produce public safety hazards and impose economic costs (e.g., to shipping). In this paper, we use a regional hydrodynamic numerical model to test the effect of historical environmental change and the time scale, direction, and magnitude of wind forcing on negative and positive surge events in the New York Harbor (NYH). Environmental sensitivity experiments show that dredging of shipping channels is an important factor affecting blowouts while changing ice cover and removal of other roughness elements are unimportant in NYH. Continuously measured water level records since 1860 show a trend towards smaller negative surge magnitudes (measured minus predicted water level) but do not show a significant change to ELW magnitudes after removing the sea-level trend. Model results suggest that the smaller negative surges occur in the deeper, dredged modern system due to a reduced tide-surge interaction, primarily through a reduced phase shift in the predicted tide. The sensitivity of surge to wind direction changes spatially with remote wind effects dominating local wind effects near NYH. Convergent coastlines that amplify positive surges also amplify negative surges, a process we term inverse coastal funneling.