DESIGNING MONITORING PROGRAMS TO EVALUATE BMP EFFECTIVENESS Funded by grants from USDA- CSREES, EPA 319, NSF Nancy Mesner - Utah State University, Dept.

Slides:



Advertisements
Similar presentations
IMPROVING ESTIMATES OF SUSPENDED SEDIMENT CONCENTRATION AND FLUX IN THE LITTLE BEAR RIVER Brant Whiting, Jeffery S. Horsburgh and Amber S. Jones Utah Water.
Advertisements

Transport of nitrogen and phosphorus from Rhode River watersheds during storm events David Correll, Thomas Jordan, and Donald Weller Water Resources Research,
Assessment of Utah’s Nonpoint Source control program Nancy Mesner, Doug Jackson-Smith, Phaedra Budy, David Stevens Lorien Belton, Nira Salant, William.
Nelly Smith EPA Region 6. - Develop or revise bacteria reduction program for consistency with new TMDL requirements and allocations - Develop or revise.
Developing Modeling Tools in Support of Nutrient Reduction Policies Randy Mentz Adam Freihoefer, Trip Hook, & Theresa Nelson Water Quality Modeling Technical.
SWPPP: Stormwater Pollution Prevention Plan Creating/Implementing a Plan for Compliance.
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/
Michael J. Brayton MD/DE/DC Water Science Center Hydrologic Controls on Nutrient and Pesticide Transport through a Small Agricultural Watershed, Morgan.
A Real-Time Water Quality Monitoring Network for Investigating the Strengths and Weaknesses of Existing Monitoring Techniques David K. Stevens 1, Jeffery.
SENSORS, CYBERINFRASTRUCTURE, AND EXAMINATION OF HYDROLOGIC AND HYDROCHEMICAL RESPONSE IN THE LITTLE BEAR RIVER OBSERVATORY TEST BED Jeffery S. Horsburgh.
Components of an Integrated Environmental Observatory Information System Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S.
Impact of Sampling Frequency on Annual Load Estimation Amber Spackman Jones Utah Water Research Lab Nancy Mesner Watershed Science Jeff Horsburgh Utah.
SENSORS, CYBERINFRASTRUCTURE, AND WATER QUALITY IN THE LITTLE BEAR RIVER Jeffery S. Horsburgh David K. Stevens, Amber Spackman Jones, David G. Tarboton,
Development of a Community Hydrologic Information System Jeffery S. Horsburgh Utah State University David G. Tarboton Utah State University.
Real-Time Water Quality Monitoring for Investigating the Strengths and Weaknesses of Existing Monitoring Techniques Little Bear River Basin Jeffery S.
Integrating Historical and Realtime Monitoring Data into an Internet Based Watershed Information System for the Bear River Basin Jeff Horsburgh David Stevens,
Identifying Critical Areas for BMP Applications. Critical Areas Those areas or sources where the greatest water quality improvement can be accomplished.
Monitoring and Pollutant Load Estimation. Load = the mass or weight of pollutant that passes a cross-section of the river in a specific amount of time.
EPA’S WATERSHED PLANNING APPROACH FOR THE SECTION 319 PROGRAM Dov Weitman Chief, Nonpoint Source Control Branch October.
Determining the effectiveness of best management practices to reduce nutrient loading from cattle grazed pastures in Utah Nicki Devanny Utah State University,
Tools for Publishing Environmental Observations on the Internet Justin Berger, Undergraduate Researcher Jeff Horsburgh, Faculty Mentor David Tarboton,
Using HydroServer Organize, Manage, and Publish Your Data Support EAR CUAHSI HIS Sharing hydrologic data Jeffery S. Horsburgh.
Brian Haggard Arkansas Water Resources Center UA Division of Agriculture Arkansas Water Resources Center.
Water Quality Monitoring and Parameter Load Estimations in Lake Conway Point Remove Watershed and L’Anguille River Watershed Presented by: Dan DeVun, Equilibrium.
Water Quality Monitoring and Parameter Load Estimations in Lake Conway Point Remove Watershed, L’Anguille River Watershed, and Bayou Bartholomew Presented.
Management Issues in the Lake Michigan Basin  Aquatic invasive species  Nutrient enrichment  Beach Health  Contaminants – in Sediments, Fish and Drinking.
Overview of Continuous Water-Quality Monitoring. Purpose of Monitoring Define the objectives of the water quality monitoring project 1. Environmental.
Historic Water Quality Concerns High nutrients Impacts on downstream Cutler Reservoir Causes included poor management of riparian corridors and uplands,
Impaired and TMDL Waterbody Listings Impacts on DoD Facilities Bill Melville, Regional TMDL Coordinator
Water Quality Associated with Urban Runoff: Sources, Emerging Issues and Management Approaches Martha Sutula and Eric Stein Biogeochemistry and Biology.
West Fork of the White River Stream Restoration Monitoring Dan DeVun Ecological Conservation Organization (501)
West Fork of the White River Stream Restoration Monitoring Dan DeVun Ecological Conservation Organization (501)
Forest harvesting practices are a suite of BMPs that minimize the environmental impacts of road building, log removal, site preparation and forest management.
The effectiveness of conservation efforts in the Little Bear River Watershed Douglas Jackson-Smith: SSWA Dept, USU Nancy Mesner: WATS Dept, USU David Stevens,
SAINTPAUL SUSTAINABLE BUILDING POLICY Saint Paul Sustainable Building Policy Training Module 7 Stormwater Management.
Developing Monitoring Programs to Detect NPS Load Reductions.
Nicole Reid, Jane Herbert, and Dean Baas MSU Extension Land & Water Program W. K. Kellogg Biological Station Transparency tube as a surrogate for turbidity,
The Non-tidal Water Quality Monitoring Network: past, present and future opportunities Katie Foreman Water Quality Analyst, UMCES-CBPO MASC Non-tidal Water.
Changes in Phosphorus Concentrations and Loads in the Assabet River Following Mandated Reductions in Wastewater Treatment Plant Discharges U.S. Geological.
Watershed Management Assessment Through Modeling: SALT and CEAP Dr. Claire Baffaut Water Quality Short Course Boone County Extension Office April 12, 2007.
Orange Creek Basin Management Action Plan Alachua County Commission December 11, 2007 Fred Calder, FL DEP (850)
La Moine River Ecosystem Partnership: Organizing for Success Dan Moorehouse & Jeff Boeckler.
Water Quality Monitoring and Constituent Load Estimation in the Kings River near Berryville, Arkansas 2009 Brian E. Haggard Arkansas Water Resources Center.
Water Quality Sampling, Analysis and Annual Load Determinations for Nutrients and Solids on the Ballard Creek, 2008 Arkansas Water Resources Center UA.
How Breakthroughs in Information Systems Can Impact Local Decisions Bruce Babcock Center for Agricultural and Rural Development Iowa State University.
Timeline Impaired for turbidity on Minnesota’s list of impaired waters (2004) MPCA must complete a study to determine the total maximum daily load (TMDL)
Price Creek Watershed Project A joint project of the Iowa & Benton County Soil and Water Conservation Districts IOWATER Meeting – November 13, 2007.
Water Quality Monitoring in the Upper Illinois River Watershed and Upper White River Basin Project Brian E. Haggard University of Arkansas.
Adem.alabama.gov ADEM’s Monitoring Summary Reports Alabama – Tombigbee CWP Stakeholders Meeting Montgomery, Alabama 3 February 2010 Lisa Huff – ADEM Field.
Lessons Learned from BMP evaluation studies in the nontidal streams and river in the Chesapeake Bay Watershed Katie Foreman University of Maryland Center.
Evaluation Measures for Municipal Storm Water Management Programs Daniel Rourke Fresno Metropolitan Flood Control District October 15, 2003 Counting Raindrops.
Integrating a Continuous Water Quality Monitoring Network into Texas’ Surface Water Quality Monitoring Program Jill D. Csekitz, Aquatic Scientist Texas.
Brian Haggard Director Arkansas Water Resources Center Funding provided by ANRC through Beaver Water District.
FY 2016 EAP Proposals 1.Groundwater Sampling at Coulee Creek 2.Deep & Coulee Straight to Implementation Project 3.Little Spokane DO/pH TMDL 4.Lake Spokane.
Willow Lake Cobb Gauge site Sample site Mesonet site For more information: We gratefully acknowledge.
Storm Water Permit Program Authority to regulate storm water discharges derives from 40 CFR Illinois EPA is delegated authority to administer this.
Nutrient Management Summary CNMP Core Curriculum Section 5 – Nutrient Management.
Integrated Approach for Assessing and Communicating Progress toward the Chesapeake Bay Water-Quality Standards Scott Phillips USGS, STAR May 14, 2012 PSC.
Think about answering the questions: Who? What? Where? When? Why? How? Before your volunteers begin collecting data.
Water Quality Sampling, Analysis and Annual Load Determinations for the Illinois River at Arkansas Highway 59 Bridge, 2008 Brian E. Haggard Arkansas Water.
What is Stormwater? Direct result of rainfall Recharges groundwater by infiltration Produces “runoff” (excess rainfall after infiltration) May be concentrated.
CLEAN WATER ACT AND MUNICIPAL STORMWATER CALIFORNIA STORMWATER WORKSHOP David W. Smith, Manager NPDES Permits Section EPA/Region 9.
SWPPP: Stormwater Pollution Prevention Plan Creating/Implementing a Plan for Compliance.
1 Optimizing sampling methods for pollutant loads and trends in San Francisco Bay urban stormwater monitoring Aroon Melwani, Michelle Lent, Ben Greenfield,
David Stevens, Nancy Mesner, Terry Glover, Arthur Caplan
Clayton Cox, AAAS Science & Technology Policy US EPA
Continuous Surrogate Monitoring for Pollutant Load Estimation in Urban Water Systems Anthony A. Melcher, USU Civil and Environmental.
Henrico County Stream Assessment / Watershed Management Program
Mulberry Watershed Management Plan
Flood Monitoring Tools 2011 OFMA Annual Conference
Presentation transcript:

DESIGNING MONITORING PROGRAMS TO EVALUATE BMP EFFECTIVENESS Funded by grants from USDA- CSREES, EPA 319, NSF Nancy Mesner - Utah State University, Dept of Watershed Sciences Ginger Paige - University of Wyoming David Stevens, Jeff Horsburgh, Doug Jackson-Smith, Darwin Sorensen, Ron Ryel – USU

Examples from the Little Bear River CEAP Project

Pre-treatment problems: Bank erosion, manure management, flood irrigation problems

Treatments:  bank stabilization,  river reach restoration,  off-stream watering,  improved manure and water management

Common problems in BMP monitoring programs: Failure to design monitoring plan around BMP objectives Failure to design monitoring plan around BMP objectives A failure to understand pollutant pathways and transformations and sources of variaiblity in these dynamic system. A failure to understand pollutant pathways and transformations and sources of variaiblity in these dynamic system. Tend to draw on a limited set or inappropriate approaches Tend to draw on a limited set or inappropriate approaches

Failure to design monitoring plan around BMP objectives A failure to understand pollutant pathways and transformations and sources of variaiblity in these dynamic system. Tend to draw on a limited set or inappropriate approaches Designing monitoring to address specific objectives Little Bear River Watershed, Utah v

Total Observations at Watershed Outlet site DischargeTotal phosphorus : : Number of observations each year

Failure to design monitoring plan around BMP objectives Failure to design monitoring plan around BMP objectives A failure to understand pollutant pathways and transformations and sources of variability in these dynamic system. A failure to understand pollutant pathways and transformations and sources of variability in these dynamic system. Tend to draw on a limited set or inappropriate approaches Tend to draw on a limited set or inappropriate approaches

Understanding natural variability – annual variation

Since 2005, measure flow and turbidity at 30 minute intervals Stage recording devices to estimate discharge Turbidity sensors Dataloggers and telemetry equipment

Capturing pollutant movement from source to waterbody. Storm Event

Sampling frequency Regressions of TP and turbidity The relative importance of different sources of variability

Failure to design monitoring plan around BMP objectives Failure to design monitoring plan around BMP objectives A failure to understand pollutant pathways and transformations and sources of variability in these dynamic system. A failure to understand pollutant pathways and transformations and sources of variability in these dynamic system. Tend to draw on a limited set or inappropriate approaches Tend to draw on a limited set or inappropriate approaches

Problem: excess sediment Average flow = 20 cfs BMP = series of in-stream sediment basins Problems with “one-size-fits-all” monitoring design Above Below

Problem: excess phosphorus Average flow = 1000 cfs BMP = fence cattle OUT of riparian area and revegetate

Focuses on the considerations and decisions necessary as a project is first being considered. NOT a “how-to” manual of protocols Document in review Training workshops underway

What is your objective? Long term trends? UPDES compliance? Educational? Assessment for impairment? Track response from an implementation?

How does the pollutant move from the source to the waterbody? How is the pollutant processed or transformed within a waterbody? What is the natural variability of the pollutant? Will concentrations change throughout a season? Throughout a day? What long term changes within your watershed may also affect this pollutant? What else must be monitored to help interpret your data? How do pollutants “behave” within your watershed.

 Monitor the pollutant(s) of concern?  Monitor a “surrogate” variable?  Monitor a response variables?  Monitor the impacted beneficial use?  Monitor the BMP itself?  Monitor human behavior?  Model the response to a BMP implementation.  Collect other data necessary to interpret monitoring results OR calibrate and validate the model? What to monitor?

Where and when to monitor?

Sampling points Control Treatment “A” BACI Design Above and below treatment design Below-treatment monitoring stations Above- treatment monitoring stations Choose appropriate monitoring or modeling

How to monitor? points in time versus continuous integrated versus grab samples consider: cost skill and training required accessibility of sites

The road to more effective monitoring….  Monitoring plans require careful thought before anything is implemented.  Consider how the data will be used to demonstrate change.  Use your understanding of your watershed and how the pollutants of concern behave to target monitoring most effectively  Use different approaches for different BMPs

different sources of variability in estimates of loads