Probabilistic Modeling Framework for Assessing Water Quality Sampling Programs

Abstract

Develops methods and tools to help utilities to scientifically evaluate existing sampling plans and improve them to meet monitoring requirements and system operational needs. Includes the development of procedures and algorithms to design optimal water quality sampling and monitoring networks to address multiple purposes and benefits. Research partner: USEPA. Published in 2009.

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Probabilistic Modeling Framework for Assessing Water Quality Sampling Programs

Report

#3017

12/21/2009

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Probabilistic Modeling Framework for Assessing Water Quality Sampling Programs

Abstract

Resources

Probabilistic Modeling Framework for Assessing Water Quality Sampling Programs

Development and Validation of a Real-Time Fluorescence Sensor Prototype for Early Detection of Nitrification in Drinking Water Distribution Systems

Use of DNA Nanostructures as Viral Surrogates in Potable Reuse Applications

Molecular Methods for Measuring Pathogen Viability/Infectivity

Develop Standard Operating Procedures for the Collection, Storage, and Extraction of Aqueous Samples for in Vitro Bioanalytical Tools Screening

Autonomous in situ Monitoring of Harmful Algal Blooms

Evolution and Characterization of Water Quality in Quarry Lakes

Diversifying Water Portfolios through Stormwater Capture and Use: Contributing to a Water Resilient Future