1. Project Venue Little Bear River –Cache County, UT –5-20 km from Utah State University –Existing cyberinfra-structure from ongoing projects with EPA/USDA/USU/ State of Utah –Additional infrastructure Climate Flow Water quality –Continuous –Flow-pace sampling –Possible – chemistry lab-in- a-box

2. The problem Mismatched flow/water quality data Low frequency water quality data

3. CUAHSI HIS ODM End result: high frequency estimates of nutrient concentrations and loadings Objective 2 - Investigate the high frequency patterns of nutrient loading from watersheds to understand the relationships between nutrient loading and watershed attributes and management practices and to determine the relative fractions that are associated with episodic events versus base flow. Objective 1 - Construct high frequency time series estimates using Bayesian networks from surrogate sensor signals that can be collected inexpensively and frequently for constituents in the Little Bear River that we cannot measure continuously Objective 3 - Develop two-way linkages between sensors within a monitoring network, a central observations database, models and other data consumers Bayesian network to trigger automated sampling for storm/other events

4. Little Bear River Sampling Program Continuous Monitoring Equipment Stage recording devices to estimate discharge Turbidity sensors to monitor water quality Dataloggers and telemetry equipment http://www.campbellsci.com http://www.ftsinc.com/ http://www.campbellsci.com

5. Tools for Environmental Observatory Design and Implementation – Sensor Networks, Dynamic Bayesian Nutrient Flux Modeling, and Cyberinfrastructure Advancement David K Stevens, David G Tarboton, Jeffery S Horsburgh, Nancy O Mesner, Amber Spackman Utah State University Utah Water Research Laboratory