Edwin A. Roehl

发表

Estimating seawater intrusion impacts on coastal intakes as a result of climate change

Edwin A. Roehl, Ruby C. Daamen, John B. Cook, 2013 .

Integrating Categorical and Real-Time Monitoring Data to Optimally Model Water Quality for Waterbasins and Beyond

Edwin A. Roehl, John B. Cook, Paul A. Conrads, 2009 .

Features of Advanced Decision Support Systems for Environmental Studies, Management, and Regulation

Edwin A. Roehl, Ruby C. Daamen, Paul A. Conrads, 2006 .

Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006

Edwin A. Roehl, Paul A. Conrads, P. Conrads, 2007 .

Flexible Control of an Organic Matrix Composite Cure Process using Object-Oriented Control Concepts

Edwin A. Roehl, Richard A. Manzini, 1990, 1990 American Control Conference.

From Process Models to Decision Making: The Use of Data Mining Techniques for Developing Effect Decision Support Systems

Edwin A. Roehl, Paul A. Conrads, 2010 .

User’s manual for the Automated Data Assurance and Management application developed for quality control of Everglades Depth Estimation Network water-level data

Edwin A. Roehl, Ruby C. Daamen, Matthew D. Petkewich, 2016 .

Data Mining for Water Resource Management Part 2 - Methods and Approaches to Solving Contemporary Problems

Edwin A. Roehl, Paul A. Conrads, 2010 .

Using Inferential Sensors for Quality Control of the Everglades Depth Estimation Network (EDEN)

Edwin A. Roehl, Ruby C. Daamen, Matthew D. Petkewich, 2012 .

DEVELOPMENT OF AN EMPIRICAL MODEL OF A COMPLEX, TIDALLY AFFECTED RIVER USING ARTIFICIAL NEURAL NETWORKS

Edwin A. Roehl, Paul A. Conrads, William B. Martello, 2003 .

Numerically Optimized Empirical Modeling of Highly Dynamic, Spatially Expansive, and Behaviorally Heterogeneous Hydrologic Systems – Part 1

Edwin A. Roehl, John Risley, Jana S. Stewart, 2006 .

MAKING SENSE OF IT ALL: A NEW APPROACH IN TRANSFORMING UTILITY DATA INTO INFORMATION

Edwin A. Roehl, John B. Cook, E. Roehl, 2007 .

Data Mining for Water Resource Management Part 1 - Answering Contemporary Questions with Historical Databases

Edwin A. Roehl, Paul A. Conrads, 2010 .

Transforming Large Databases Into Critical Knowledge Using Data Mining– Three Case Studies in South Carolina and Georgia

Edwin A. Roehl, Paul A. Conrads, 2006 .

Distribution System Monitoring Research at Charleston Water System

Edwin A. Roehl, Ruby C. Daamen, John B. Cook, 2008 .

Comparing Physics-Based and Neural Network Models for Simulating Salinity, Temperature, and Dissolved Oxygen in a Complex, Tidally Affected River Basin

Edwin A. Roehl, Paul A. Conrads, P. Conrads, 1999 .

Control Nitrification With Online Monitoring

Edwin A. Roehl, Ruby C. Daamen, John B. Cook, 2012 .

Simulation of Water Levels and Salinity in the Rivers and Tidal Marshes in the Vicinity of the Savannah National Wildlife Refuge, Coastal South Carolina and Georgia

Edwin A. Roehl, Ruby C. Daamen, Paul A. Conrads, 2006 .

Estimating water temperatures in small streams in western Oregon using neural network models

Edwin A. Roehl, Paul A. Conrads, John C. Risley, 2003 .