{"id":121,"date":"2025-05-30T13:01:11","date_gmt":"2025-05-30T13:01:11","guid":{"rendered":"https:\/\/faculty.eng.fau.edu\/hrl\/?page_id=121"},"modified":"2025-05-30T13:26:03","modified_gmt":"2025-05-30T13:26:03","slug":"confeernece-publications","status":"publish","type":"page","link":"https:\/\/faculty.eng.fau.edu\/hrl\/confeernece-publications\/","title":{"rendered":"Conference Publications"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><ul><li>V. Chandramouli, E. Hixon,J. Moreland, J.Wang, Z. Xiong, C.Zhou,\u00a0<strong>Ramesh S .Teegavarapu<\/strong>, J. Fox, P. Behera Evaluating the usefulness of virtual 3D lab modules developed for a flooding system in student learning, NSF Grantees session, 123<sup>rd<\/sup>\u00a0ASEE Annual Conference and Exposition, June 26-29,2016. 10 pages, paper ID # 17064<\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Climate variability and changes in streamflow and precipitation extremes, Proceedings of IAHR World Congress, The Hague, Netherlands, 2015. Short paper.<\/em><\/li><li><em>Aneesh Goly,\u00a0\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Assessment of various Statistical Downscaling Methods for Downscaling Precipitation in Florida. Paper submitted to ASC-EWRI World Environmental and Water Resources Congress, Cincinnati, USA. 2013.<\/em><\/li><li><em>Aneesh Goly,\u00a0\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0Multi-Objective Optimization Methods for Bias Correction of Statistically Downscaled Precipitation, Paper submitted to ASC-EWRI World Environmental and Water Resources Congress, Cincinnati, USA. 2013<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Spatial Interpolation for Missing Precipitation Data: Use of Proximity Metrics, Nearest Neighbor Classifiers and Clusters, Abstract, EWRI, 2012, ASCE, New Mexico, May, 2012.<\/em><\/li><li><em>Husayn El. Sharif and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Evaluation of Spatial Interpolation Methods for Missing Precipitation Data: Preservation of Spatial Statistics, Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly, Chandramouli Viswanathan, Pradeep Behera,\u00a0 Precipitation Extremes and Climate Change: Evaluation using Descriptive WMO Indices. Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.<\/em><\/li><li><em>Aneesh Goly,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Influence of Teleconnections on Spatial and Temporal Variability of Extreme Precipitation Events in Florida, Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.<\/em><\/li><li><em>Aneesh Goly,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Evaluation of Different Climate Change Models for Future Precipitation Projections in Florida, Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.<\/em><\/li><li><em>Aneesh Goly,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra Pathak, Influence of Temporal Resolution of Rain Gage Data on Bias Correction Procedures for NEXRAD Estimates, Abstract submitted to EWRI, 2012, ASCE, New Mexico, May, 2012.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, and Chandra Pathak, Development of Optimal Forms of Z-R relationships, Weather Radar and Hydrology Symposium, Exeter, England, April 2011, 6 pages.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Anurag Nayak, Chandra Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis, 10 pages, ASCE, 2011<\/em><\/li><li><em>Chandramouli Viswanathan, Madhusudhan Gowda,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Developing Fecal TMDLs using Fuzzy-based Approach. Proceedings of Watershed Management Conference, Wisconsin, Madison, August 2010.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra Pathak, Utility of Optimal Reflectivity-Rain Rate (Z-R) Relationships for Improved Precipitation Estimates, EWRI-ASCE World Environmental and Water Congress, 2010<\/em><\/li><li><em>Pradeep Beheara, Yiping Gao,\u00a0<strong>Ramesh S.V. Teegavarapu<\/strong>, Evaluation of Antecedent Storm Event Characteristics for different Climatic Regions based on Inter-event Time Definition (IETD), EWRI-ASCE World Environmental and Water Congress, 2010.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Sharika Senerath, Chandra Pathak, Sampling Schemes for Uncertainty Assessment of a Hydrologic Simulation Model, EWRI-ASCE World Environmental and Water Congress, 2010.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Chandra Pathak, Infilling Missing Precipitation Data using NEXRAD Data: Use of Optimal Spatial Interpolation and Data-Driven Methods, EWRI-ASCE World Environmental and Water Congress, 2010.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Spatial Precipitation Analysis for Continuous Estimation (SPACE): Patterns, Organization and Processes, ASCE-EWRI, International Conference, 2010.<\/em><\/li><li><em>Andre Ferreira and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Optimal Operation of Hydropower Systems Using a Partial Constraint Satisfaction Approach, ASCE-EWRI International Conference, 2010.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Sustainable, Climate-sensitive and Adaptive Hydrosystems Management and Hydrologic Design: Issues and Approaches, Proceedings of 2010 International Workshop on Water Resources: Impacts of Climate Change and Adaptation, Seoul, South Korea, 2010<\/em><\/li><li><em>P. Scarlatos, E. Kaisar and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Modeling and Simulation of Catastrophic Events Affecting Critical Infrastructure Systems, WSEAS-Applied Computing Conference (ACC\u201909) in Vouliagmeni, Greece, 2009.<\/em><\/li><li><em>Scott Ornitz, E. Kaisar,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Mixed Integer Nonlinear Programming Model to Optimize the Use of Aircraft Deicing and Anti-icing Fluids, accepted for TRB, 2010.<\/em><\/li><li><em>Ala Aly, Chandra S. Pathak,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Henry Fuelberg, Jon Ahlquist, Evaluation of Improvised Spatial Interpolation Methods for Infilling Missing Precipitation Records, CDROM Proceedings of ASCE\/EWRI International Conference, Kansas City, May 2009.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra S. Pathak\u00a0 and Tadesse Meskele, Evaluation of Spatial Weighting Methods for Transformation of Multi-Sensor Precipitation Estimates, CDROM Proceedings of ASCE\/EWRI International Conference, Kansas City, May 2009.<\/em><\/li><li><em>Chandra S. Pathak, John R. Mecikalski,\u00a0<strong>Ramesh S. \u00a0V. Teegavarapu<\/strong>, and Jayanthi SrikishenDesign of Solar Radiation Sensor Network Using Geo-statistical Methods CDROM Proceedings of ASCE\/EWRI International Conference, Kansas City, May 2009.<\/em><\/li><li><em>Pradeep Behera and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Optimization of Regional Stormwater Systems Using Genetic Algorithms, CDROM Proceedings of ASCE\/EWRI International Conference, Kansas City, May 2009.<\/em><\/li><li><em>Scott Huebner, Chandra S. Pathak and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Understanding Uncertainties in Water Budget for Large Constructed Wetlands, CDROM Proceedings of\u00a0 ASCE\/EWRI International Conference, Kansas City, May 2009.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0&amp; Chandra Pathak, Estimation of Uncertainties in Water Budget for Large Constructed Wetlands, Proceedings of ASCE International Conference, Thailand, 2009.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Innovative spatial interpolation methods for estimation of missing precipitation records: concepts and applications, Hydro-Predict, International Conference, 2008.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Panagiotis Scarlatos, Yossi Kaner, Computer Simulation and Animation for Catastrophic Flood Events,\u00a0 9<sup>th<\/sup>\u00a0Biennial Conference: Protection and Restoration of the Environment IX., Greece, 8 pages.<\/em><\/li><li><em>Elizabeth Gunderson, E. Kaisar,\u00a0\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>,\u00a0 A Collaborative Model for Assessment of Inter-modal Transportation Safety and Security, 2007, ATT conference.<\/em><\/li><li><em>Scott Ornitz, E. Kaisar,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Optimizing the use of Anti-Icing and De-Icing Fluids under Budgetary, Infrastructure and Environmental Compliance Constraints, 2007, ATT conference, 11 pages.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu\u00a0<\/strong>and Pankaj Bajaj, Optimal Spatial Weighting Methods for Estimation of Missing Rain Gage Records, ASCE, World Environmental and Water Resources Congress, 2008.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Delroy Peters and Chandra Pathak, Evaluation of Functional Forms of Rain Gage \u2013 Radar (NEXRAD) Data Relationships,\u00a0 ASCE, World Environmental and Water Resources Congress, 2008.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Chandra Pathak Infilling of Rain Gage Records using Radar (NEXRAD) Data: Influence of spatial and temporal variability of rainfall processes, ASCE, World Environmental and Water Resources Congress, 2008.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Estimation of Missing Precipitation Data using Soft Computing based Spatial Interpolation Techniques, AGU Fall Meeting, Abstract accepted, 2007.<\/em><\/li><li><em>Evangelos Kaisar, Elizabeth Gunderson and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, A Data Envelopment Analysis Model to Assess the Efficiency of Inter-modal Transportation Systems, INFROMS, TA35, 2007.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Seth Bradley and Lindell Ormsbee, Probabilistic Goal Driven Water Quality Management, EWRI, ASCE, 2007; 10 pages.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and S. P. Simonovic, Operation of Hydrosystems under Uncertain Decision Making Environments, EWRI, ASCE, 2007. 10 pages.<\/em><\/li><li><em>Aswartha Balla,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Chandramouli Viswanathan, Lindell Ormsbee,\u00a0 Evaluation of Spatial Interpolation Techniques for Estimation of Missing Precipitation Data, ASCE Annual Conference, Tampa, 2007<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, and Lindell Ormsbee, A Spatio-Temporal Analysis Framework for Assessment of Water Quality Data, EWRI, ASCE, 2007, paper submitted 10 pages.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Mohammad Tufail and Lindell Ormsbee, Optimal Functional Forms for Spatial Interpolation of Precipitation Data,\u00a0 Proceedings of 5<sup>th<\/sup>\u00a0International Conference on Environmental Informatics, Bowling Green, Kentucky. 2006, 11 pages.<\/em><\/li><li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, C. Viswanathan and Lindell Ormsbee, Effect of DEM Resolution on the Hydrological and Water Quality Modeling,\u00a0 8 pages, ASCE,\u00a0 Proceedings of World Water Congress, 2006, Omaha.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, A New Integrated Neural Network Architecture for Streamflow Forecasting, abstract, American Geophysical Union (AGU) Fall Meeting, December, 2005.\u00a0 EOS transactions, 86(52), H54B-08.<\/em><\/li><li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, and Lindell Ormsbee.\u00a0 Sustainable and Climate Sensitive Hydrologic Design and Management of Hydrosystems Proceedings of World Water and Environmental Resources Congress: Impacts of Global Climate Change, ASCE, ASCE\/EWRI, 0-7844-0792-4 2005, 11 pages.<\/em><\/li><li><em>Lindell Ormsbee,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Anil Tangirala,\u00a0 Development of Pathogen TMDLs within a Stochastic Framework, Critical Transitions In Water And Environmental Resources Management, Gerald Sehlke, (editor), Donald F. Hayes, (editor), and David K. Stevens, (editor) , EWRI, pp 1-9, 2004<\/em><\/li><li><em>Lindell Ormsbee,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Joseph Okeyere, Simulation Models for Assessment of Pathogen Loads at a Watershed Scale, Abstract published. Annual Conference of American Institute of Hydrology, October, 2004.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/em><\/li><li><em>Tufail, M.,\u00a0 Lindell Ormsbee and\u00a0<strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, A comparison of Two Artificial Intelligence Techniques used for Developing Pollutant Functional Relationships abstract published, World Water Congress, 2004.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Anil Tangirala, and Lindell Ormsbee.Water Quality Assessment at Different Watershed Scales: Use of Data-Driven and Object-Oriented Simulation Models.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Anil Tangirala, and Lindell Ormsbee.\u00a0 MIST(Model Identification and Selection Tool): A knowledge-based System for Selection of Water Quality Models, Published in CDROM Proceedings, 40704-008-004, in Design and Decision Support Tools, 11 pages, 4<sup>th<\/sup>\u00a0Information Technology\u00a0 Symposium, ASCE, November, 2003.\u00a0<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Lindell Ormsbee, Estimating Nutrient Loadings using GIS: Spatial Variability of Precipitation and Event Mean Concentrations, CDROM Abstract Proceeding of AWRA Annual Conference, San Diego 2003.<\/em><\/li><li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, Anil Tangirala and Lindell Ormsbee, STREAMS (STReam Environment Assessment and Monitoring System): A Knowledge-Assisted Assessment system (KAAS) for Evaluation and Monitoring of Impaired Streams, 8 pages, Environmental Informatics Archives, 2003.<\/em><\/li><li><em>Anil Tangirala,\u00a0<strong>Ramesh S.V. Teegavarapu<\/strong>, and Lindell Ormsbee, Modeling Adaptive Water Quality Management Strategies Using System Dynamics Simulation , 8 pages, Environmental Informatics Archives, 2003, Reviewed Publication.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Modeling and Management of Hydrosystems: Detail, Dynamic and Spatial Complexities, 14k-01, 2002, International Framework on Water Dynamics, pages: C1-C19, coordinator\/editor, Shuichi Ikebuchi, Kyoto University, Japan.<\/em><\/li><li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Amin Elshorbagy and Lindell Ormsbee; Inductive Modeling of Nutrient Loadings in Streams, extended abstract accepted to Mississippi River Climate and Hydrology Conference, May 17-20, 2002. New Orleans.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>and Amin Elshorbagy; A new Error Statistic for Performance Evaluation of Models in Hydrology, Volume 1,\u00a0 # 47, Developments in Water Science, Computational Methods in Water Resources,\u00a0 Editors: S. M. Hassanizadeh, R. J. Schotting., W. G. Gray and G. F. Pinder, pp 787 \u2013794. , 2002, 7 pages<\/em><\/li><li><em>Amin Elshorbagy,\u00a0\u00a0<strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>\u00a0and Lindell Ormsbee; System Dynamics Approach for Water Quality Management in South Eastern Kentucky, Volume 2,\u00a0 # 47, Developments in Water Science, Computational Methods in Water Resources, Editors: S. M. Hassanizadeh, R. J. Schotting., W. G. Gray and G. F. Pinder,\u00a0 pp 1557 \u20131564, 2002 , 7 pages<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and S. P. Simonovic; Optimal Operation of Water Resource Systems: Trade-offs between Modeling and Practical Solutions, International Symposium on Integrated Water Resources Management, California, USA, April 2000.\u00a0 Extended abstract published (peer reviewed). Conference Paper published in Red Book.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and S. P. Simonovic; System Dynamics Simulation Model for Operation of Multiple Reservoirs, CDROM Proceedings of World Water Congress, Melbourne, Australia, 11 \u2013 17 March 2000., 8 pages.<\/em><\/li><li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and P. P. Mujumdar; Rainfall Forecasting using Neural\u00a0 Networks, Seventh IAHR International Symposium on Stochastic Hydraulics, Vol I, pp 325 \u2013 332, 29th-31st July 1996, Mackay,\u00a0 Australia.<\/em><\/li><li><em><strong>59.\u00a0\u00a0<\/strong><strong>Ramesh S. V.\u00a0 Teegavarapu<\/strong>\u00a0and B. Bapineedu; A knowledge-based System for Estimation of Manning\u2019s Roughness Coefficient, Proceedings of 9th Congress of APD-IAHR, 278 \u2013 285, Vol I, August 1994, Singapore. \u00a0<strong>Young Scientist Award from CSIR India to present this paper.<\/strong><\/em><\/li><li><em>S. Vedula,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and P. P. Mujumdar; Real-Time Irrigation Scheduling, Proceedings of International Conference on Environmentally Sound Water Resources Utilization, 8 \u2013 11, Vol II, November 1993, Bangkok, Thailand.<\/em><\/li><\/ul><ul><li><em><strong>Non-refereed\/Refereed Conference Extended Abstracts.<\/strong><\/em><\/li><\/ul>\n<ul class=\"wp-block-list\">\n<li><em><strong>Ramesh S. V. Teegavarapu,\u00a0<\/strong>Climate Variability And Changes In Streamflow and Precipitation Extremes, IAHR 2015, Delft, Netherlands.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0, Low Flow Variability and Coupled Oceanic-Atmospheric Oscillations, AGU Fall Meeting, 2014. Extended Abstract# H23N-1086.<\/em><\/li>\n\n\n\n<li><em>Aneesh Goly and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation. AGU Fall Meeting, Extended Abstract # H13F-1188.<\/em><\/li>\n\n\n\n<li><em>Sudhagar Nagarajan, Yushin Ahn,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Analytical Incorporation of Velocity Parameters into Ice Sheet Elevation Change Rate Computations. AGU Fall Meeting, Extendended Abstract: # C21C-0361.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Hydrologic Design under Changing Regional Precipitation Extremes and Characteristics: Influences of Climate Variability and Change, KOBE-EU symposium, October 13-15, 2014.<\/em><\/li>\n\n\n\n<li><em>Chandra Pathak,\u00a0<strong>Ramesh S. V. Teegavarapu,\u00a0<\/strong>Uncertainty Analysis Approaches in Hydrologic Modeling, EWRI, ASCE 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, EWRI, ASCE, 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Milla Pierce, Precipitation Regime Changes under Decadal and Multi-Decadal Oscillations, EWRI ASCE , 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra Pathak, Optimizing Reflectivity-Rain Rate (Z-R) Relationship Parameters for Improved Radar-based Precipitation Estimates, Weather Radar and Hydrology International Symposium, 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0Uncertainty Assessments of Spatially-Interpolated Missing Precipitation Data Estimates, AGU Fall Meeting, 2013.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly, Quinlong Wu, A Comprehensive Framework for Assessment of Radar Data, Weather Radar and Hydrology (WRaH) International Symposium, 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Anurag Nayak, Chandra Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis, AGU, Fall Meeting 2010. Bibliographic code: 2010AGUFM.H13E1020T.<\/em><\/li>\n\n\n\n<li><em>Noemi Gonzalez,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Lin Huang, Spatial and Temporal Distribution of Extreme Precipitation Events and their Relation to Peak Flooding, AGU Fall Meeting, 2010. 2010AGUFM.H13E1021G.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, Integration of Spatial Interpolation Techniques and Association Rules for Estimation of Missing Precipitation Data, AGU Fall Meeting, H04. Abstract, December, 2006.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Seth Bradley and Lindell Ormsbee, Probabilistic Goal Driven Water Quality Management, abstract published, American Geological Society (AGS) Annual Meeting, March 2006. Presented by Seth Bradley.<\/em><\/li>\n\n\n\n<li><em>Seth Bradley, Lindell Ormsbee,\u00a0<strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, Modeling the Fate and Transport of Pathogens in a Watershed using Discrete Volume Method,\u00a0 abstract published,\u00a0 American Geological Society (AGS) Annual Meeting, March 2006.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, and Lindell Ormsbee, Regional Assessment of Pathogen Pollution Using Kriging Approach,\u00a0\u00a0 EOS transactions, AGU, H53A-1210, 85(47), 2004<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Anil Tangirala, and Lindell Ormsbee.\u00a0 Assessing Hydrologic Similarity of Watersheds by Analyzing Geometric Patterns in Streamflow Time Series, Abstract in EOS Transactions 84(46), AGU, 2003. 2003AGUFM.H12B0969T.<\/em><\/li>\n\n\n\n<li><em>Anil Tangirala,\u00a0<strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>\u00a0and Lindell Ormsbee.\u00a0 Developing Water Quality Management Strategies at Different Watershed Scales Using System Dynamics Simulation, Abstract in EOS Transactions 84(46), AGU, 2003.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Improving Neural Network Performance for Streamflow Prediction: Use of Geometrical Patterns in Time Series, extended abstract, AWRA Annual Conference, November 2002, p129, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Amin Elshorbay and Lindell Ormsbee; Characterizing Pollutant Loadings in Streams using System Dynamics Simulation, extended abstract, Proceedings of AWRA Annual Conference, November 2002, p 247, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/em><\/li>\n\n\n\n<li><em>Amin Elshorbagy,\u00a0<strong>Ramesh S.V. Teegavarapu<\/strong>\u00a0and Lindell Ormsbee; System Dynamics, GIS and Inductive Modeling : A Tool Kit for Water Quality Management, extended abstract,\u00a0 Proceedings of AWRA Annual Conference, November, 2002, p 64, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>\u00a0and Lindell Ormsbee; Modeling Environmental Systems using System Dynamics Approach and Object-Oriented Simulation Tools, extended abstract published in CD ROM proceedings of AEESP\/AAEE Conference,\u00a0 Understanding Complex Environmental systems, pp 52, 2002.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and M. A. Marino; Evapotranspiration Estimation using Neural Networks, ASAE International Conference, Sacramento, July 29 \u2013 August 1, 2001, abstract published, ASAE Technical Library.<\/em><\/li>\n\n\n\n<li><em>Invited paper:\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Venki Uddameri and M. A. Marino; Risk-based Corrective Action Analysis using Neural Networks, Water Quality, Monitoring, and Modeling, San Antonio, Texas, April 30-May 2, 2001.\u00a0 Extended Abstract published. Not presented.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Amin El-Shorbagy; Disaggregation of Streamflows Using Neural Networks, Extended Abstract published. International Conference of the American Institute of Hydrology, November 2000.<\/em><\/li>\n\n\n\n<li><em>Invited paper:\u00a0<strong>Ramesh S.V. Teegavarapu<\/strong>; Disaggregation of Hydrological Time series using Neural Networks, abstract published in the Geophysical Research Abstracts, Jan 1999, 4th Assembly of European Geophysical Society, 1999, Hague. Extended abstract published (peer reviewed). Not Presented.<\/em><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em><strong>Non-refereed\/Refereed Conference Extended Abstracts.<\/strong><\/em><\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em><strong>Ramesh S. V. Teegavarapu,\u00a0<\/strong>Climate Variability And Changes In Streamflow and Precipitation Extremes, IAHR 2015, Delft, Netherlands.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0, Low Flow Variability and Coupled Oceanic-Atmospheric Oscillations, AGU Fall Meeting, 2014. Extended Abstract# H23N-1086.<\/em><\/li>\n\n\n\n<li><em>Aneesh Goly and\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation. AGU Fall Meeting, Extended Abstract # H13F-1188.<\/em><\/li>\n\n\n\n<li><em>Sudhagar Nagarajan, Yushin Ahn,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Analytical Incorporation of Velocity Parameters into Ice Sheet Elevation Change Rate Computations. AGU Fall Meeting, Extendended Abstract: # C21C-0361.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Hydrologic Design under Changing Regional Precipitation Extremes and Characteristics: Influences of Climate Variability and Change, KOBE-EU symposium, October 13-15, 2014.<\/em><\/li>\n\n\n\n<li><em>Chandra Pathak,\u00a0<strong>Ramesh S. V. Teegavarapu,\u00a0<\/strong>Uncertainty Analysis Approaches in Hydrologic Modeling, EWRI, ASCE 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Climate Change-Sensitive Hydrologic Design under Uncertain Future Precipitation Extremes, EWRI, ASCE, 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Milla Pierce, Precipitation Regime Changes under Decadal and Multi-Decadal Oscillations, EWRI ASCE , 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Chandra Pathak, Optimizing Reflectivity-Rain Rate (Z-R) Relationship Parameters for Improved Radar-based Precipitation Estimates, Weather Radar and Hydrology International Symposium, 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0Uncertainty Assessments of Spatially-Interpolated Missing Precipitation Data Estimates, AGU Fall Meeting, 2013.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Aneesh Goly, Quinlong Wu, A Comprehensive Framework for Assessment of Radar Data, Weather Radar and Hydrology (WRaH) International Symposium, 2014.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, Anurag Nayak, Chandra Pathak, Assessment of Long-term Trends in Extreme Precipitation: Implications of In-filled Historical Data and Temporal Window-Based Analysis, AGU, Fall Meeting 2010. Bibliographic code: 2010AGUFM.H13E1020T.<\/em><\/li>\n\n\n\n<li><em>Noemi Gonzalez,\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Lin Huang, Spatial and Temporal Distribution of Extreme Precipitation Events and their Relation to Peak Flooding, AGU Fall Meeting, 2010. 2010AGUFM.H13E1021G.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, Integration of Spatial Interpolation Techniques and Association Rules for Estimation of Missing Precipitation Data, AGU Fall Meeting, H04. Abstract, December, 2006.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Seth Bradley and Lindell Ormsbee, Probabilistic Goal Driven Water Quality Management, abstract published, American Geological Society (AGS) Annual Meeting, March 2006. Presented by Seth Bradley.<\/em><\/li>\n\n\n\n<li><em>Seth Bradley, Lindell Ormsbee,\u00a0<strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>, Modeling the Fate and Transport of Pathogens in a Watershed using Discrete Volume Method,\u00a0 abstract published,\u00a0 American Geological Society (AGS) Annual Meeting, March 2006.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>, and Lindell Ormsbee, Regional Assessment of Pathogen Pollution Using Kriging Approach,\u00a0\u00a0 EOS transactions, AGU, H53A-1210, 85(47), 2004<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Anil Tangirala, and Lindell Ormsbee.\u00a0 Assessing Hydrologic Similarity of Watersheds by Analyzing Geometric Patterns in Streamflow Time Series, Abstract in EOS Transactions 84(46), AGU, 2003. 2003AGUFM.H12B0969T.<\/em><\/li>\n\n\n\n<li><em>Anil Tangirala,\u00a0<strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>\u00a0and Lindell Ormsbee.\u00a0 Developing Water Quality Management Strategies at Different Watershed Scales Using System Dynamics Simulation, Abstract in EOS Transactions 84(46), AGU, 2003.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Improving Neural Network Performance for Streamflow Prediction: Use of Geometrical Patterns in Time Series, extended abstract, AWRA Annual Conference, November 2002, p129, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V. Teegavarapu<\/strong>, Amin Elshorbay and Lindell Ormsbee; Characterizing Pollutant Loadings in Streams using System Dynamics Simulation, extended abstract, Proceedings of AWRA Annual Conference, November 2002, p 247, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/em><\/li>\n\n\n\n<li><em>Amin Elshorbagy,\u00a0<strong>Ramesh S.V. Teegavarapu<\/strong>\u00a0and Lindell Ormsbee; System Dynamics, GIS and Inductive Modeling : A Tool Kit for Water Quality Management, extended abstract,\u00a0 Proceedings of AWRA Annual Conference, November, 2002, p 64, Welty Claire, Ed. TPS-02-4, Middleburg, Virginia.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S.V.\u00a0 Teegavarapu<\/strong>\u00a0and Lindell Ormsbee; Modeling Environmental Systems using System Dynamics Approach and Object-Oriented Simulation Tools, extended abstract published in CD ROM proceedings of AEESP\/AAEE Conference,\u00a0 Understanding Complex Environmental systems, pp 52, 2002.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and M. A. Marino; Evapotranspiration Estimation using Neural Networks, ASAE International Conference, Sacramento, July 29 \u2013 August 1, 2001, abstract published, ASAE Technical Library.<\/em><\/li>\n\n\n\n<li><em>Invited paper:\u00a0<strong>Ramesh S. V. Teegavarapu<\/strong>, Venki Uddameri and M. A. Marino; Risk-based Corrective Action Analysis using Neural Networks, Water Quality, Monitoring, and Modeling, San Antonio, Texas, April 30-May 2, 2001.\u00a0 Extended Abstract published.<\/em><\/li>\n\n\n\n<li><em><strong>Ramesh S. V. Teegavarapu<\/strong>\u00a0and Amin El-Shorbagy; Disaggregation of Streamflows Using Neural Networks, Extended Abstract published. International Conference of the American Institute of Hydrology, November 2000.<\/em><\/li>\n\n\n\n<li><em>Invited paper:\u00a0<strong>Ramesh S.V. Teegavarapu<\/strong>; Disaggregation of Hydrological Time series using Neural Networks, abstract published in the Geophysical Research Abstracts, Jan 1999, 4th Assembly of European Geophysical Society, 1999, Hague. Extended abstract published (peer reviewed).<\/em><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":101,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-121","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages\/121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/users\/101"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/comments?post=121"}],"version-history":[{"count":3,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages\/121\/revisions"}],"predecessor-version":[{"id":169,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages\/121\/revisions\/169"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/media?parent=121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}