Lucy McKergow and Rob Davies-Colley

Slides:



Advertisements
Similar presentations
Progress in Estimating Loads at Mallard Island Nicole David Lester McKee Item #4.
Advertisements

U.S. Department of the Interior U.S. Geological Survey Prepared in cooperation with the Johnson County Stormwater Management Program Casey J. Lee U.S.
an example of a HELP catchment a real catchment (2000+km2) - not an experimental catchment real issues: - land-use effects on water yield - conflict over.
IMPROVING ESTIMATES OF SUSPENDED SEDIMENT CONCENTRATION AND FLUX IN THE LITTLE BEAR RIVER Brant Whiting, Jeffery S. Horsburgh and Amber S. Jones Utah Water.
Transport of nitrogen and phosphorus from Rhode River watersheds during storm events David Correll, Thomas Jordan, and Donald Weller Water Resources Research,
Relationship between size of vegetative buffers and transport of fecal coliform bacteria from pasturelands treated with dairy cow manure T. Sullivan,
Central California ASBS Program Compliance Considerations February 11, 2015.
Hydrology: Discharge, Hydrographs, Floods, and Sediment Transport Unit 1: Module 4, Lecture 2.
SENSORS, CYBERINFRASTRUCTURE, AND EXAMINATION OF HYDROLOGIC AND HYDROCHEMICAL RESPONSE IN THE LITTLE BEAR RIVER OBSERVATORY TEST BED Jeffery S. Horsburgh.
“E. coli, Enterococci and Protozoan Transport in New Mexico Watersheds” G. M. Huey 1 & Meyer, M. L 2 New Mexico Environment Department – Santa Fe, NM New.
Real-Time Water Quality Monitoring for Investigating the Strengths and Weaknesses of Existing Monitoring Techniques Little Bear River Basin Jeffery S.
The Hydrologic (Water) Cycle. Surface Water Oceans Rivers and streams Lakes and ponds Springs – groundwater becomes surface water.
TMDL – Fecal coliform Frank Henning UGA Watershed Extension Agent.
Evaluating river cross section for SPRINT: Guadalupe and San Antonio River Basins Alfredo Hijar Flood Forecasting.
A Water Quality Loading Model for Tillamook Bay Patrice A. Melancon Thanks to: Dr. David Maidment Dr. Michael Barrett Dr. Francisco Olivera Dr. Maidment’s.
Recreational Water Quality and Human Health in the Caspian Region Kathy Pond, Aidan Cronin and Steve Pedley Robens Centre, University of Surrey, UK.
Brian Haggard Arkansas Water Resources Center UA Division of Agriculture Arkansas Water Resources Center.
BACTERIAL CONCENTRATIONS IN BULL CREEK AUSTIN, TEXAS Patrick Sejkora.
Measuring Stream Microbiology:
The Drainage Basin “your friend, and all of its secrets”
Castro Valley Creek Stormwater Quality Monitoring Brake Pad Partnership Meeting June 22, 2005.
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)
Brent Mason, Mackenzie Consoer, Rebekah Perkins BBE 5543 November 8, 2011.
Materials Transport & NSCD Material Classes Velocity to Transport Relationships York NSCD Restoration PSY CCREP.
Temporal and spatial patterns of basin scale sediment dynamics and yield.
Chuck Somerville Marshall University Huntington, WV.
Iowa Nutrient Load Estimations for Point and Non-point Sources Iowa DNR November 14, 2012.
Basic Hydrology Water Quality: Sediment production and transport.
Chowan River TMDL Development Tidewater Area 08/26/04.
Modeling Copper Runoff in San Francisco Bay Area Watersheds Jim Carleton US EPA.
BacteriALERT: A Program for Monitoring and Real-time Estimation of Indicator Bacteria By Stephen J. Lawrence, Atlanta, Georgia.
Water Quality Monitoring and Constituent Load Estimation in the Kings River near Berryville, Arkansas 2009 Brian E. Haggard Arkansas Water Resources Center.
Introduction Rivers and estuaries have always been the focus of human settlement and recreation. The waters are used for recreation, transport, boating.
Assessing Metaldehyde Concentrations in Surface Water Catchments and Implications for Drinking Water Abstraction Alemayehu Asfaw, PhD student - University.
David Maidment & Lynn E. Katz & Imane Mrini Center for Research in Water Resources The University of Texas at Austin Total Maximum Daily Load for Zinc.
Redwood River TMDL Critique David De Paz, Alana Bartolai, Lydia Karlheim.
Water Quality Modeling of Bonnet Carré Freshwater Flows in the Pontchartrain Estuary Rachel Roblin Alex McCorquodale Ioannis Georgiou.
CLUES: Modelling the impacts of mitigation on sediment and nutrient loads to the Kaipara Harbour Annette Semadeni Davies Kelly May National Institute of.
Review of SWRCB Water Availability Analysis Emphasis on Dry Creek Water Availability Analysis.
Mechanics and modeling of flow, sediment transport, and morphologic change in riverine lateral separation zones Brandy Logan, Jonathan Nelson, Rich McDonald,
Fluvial Geomorphology GRG 338-C Streamflow (Discharge)
Results and Discussion The above graph depicts FC colony plate averages for each sample site. Samples are ordered from upstream to downstream as indicated.
How do humans affect watersheds and the hydrologic cycle ?
Kakanui Rachel Ozanne, Water Quality Scientist. Long-term (SOE) monitoring Water quality ~78 sites Monthly sampling.
Critique of North Branch of Sunrise River TMDL Nate Topie and Taylor Hoffman.
Findings Is the City of Oberlin a source or a sink for pollutants? Water quality in Plum Creek as a function of urban land cover Jonathan Cummings, Tami.
Rose Hill #2. Nitrate Concentrations Consumer Confidence Report Microbiological Contaminants Total Coliform BacteriaN1N/A0Presence of coliform bacteria.
Water Quality Indicators and Monitoring Design to Support the Albemarle-Pamlico National Estuary Program: A Progress Report Dean E. Carpenter and William.
Continuous Water- Quality Monitoring. Continuous Water Quality Monitoring Advantages Needed in rapidly changing systems Provides better understanding.
Brian Haggard Director Arkansas Water Resources Center Funding provided by ANRC through Beaver Water District.
IDEAS Integrated Dynamic Environmental Assessment System Goal: Helping learning about catchments A) Tool to help B) Process to use the tool.
Freshwater Inflows: Relationships between Water Quality Variables in San Antonio Bay Laura Chu UT Marine Science GISWR Fall 2004.
USGS ACTIVITY: Estimating suspended-sediment load continuously for 2 years using turbidity *, hydroacoustic, and LISST instruments, all proxy technologies.
Bacterial TMDL Model for Copano Bay Research performed by Carrie Gibson at Center for Research in Water Resources Schematic processor tool developed by.
Hydrology & Water Resources Engineering ( )
Freshwater Attributes
Stream Ecology.
Emily Saad EAS 4480 Oral Presentation 27 April 2010
Continuous Surrogate Monitoring for Pollutant Load Estimation in Urban Water Systems Anthony A. Melcher, USU Civil and Environmental.
Conclusions & Future Work
Elm Creek Watershed TMDL E. coli TMDL – Review of Preliminary Findings
Adding suspended sediment to the NRWQN
المنحنى الزمني للتدفق في المجاري الطبيعية Stream Flow Hydrograph
Total Maximum Daily Loads of Fecal Coliform for the Restricted Shellfish Harvesting/Growing Areas of the Pocomoke River in the Lower Pocomoke River Basin.
“your friend, and all of its secrets”
URBAN NON-POINT SOURCE NUTRIENT IMPACTS
Defining and Targeting High Flows
Jacob Piske, Eric Peterson, Bill Perry
Lessons from the Aorere River: The NZ Riverprize Winner
Presentation transcript:

Lucy McKergow and Rob Davies-Colley Bugs’n’mud E. coli, turbidity and flow relationships for the Motueka River Lucy McKergow and Rob Davies-Colley

Outline background research questions methods results conclusions

Background E. coli bacteria MfE & MoH (2003) guidelines indicator for freshwater recreation source= faecal contamination from warm-blooded animals transport = surface runoff, subsurface flows, direct deposition, re-entrainment of bed sediment MfE & MoH (2003) guidelines <260 cfu/100ml acceptable in small streams turbidity can be used as a surrogate for E. coli

Research questions can turbidity be used as a surrogate for E. coli in large rivers? how many E. coli are exported to Tasman Bay?

Motueka River At Woodmans Bend 2047 km2 catchment native + exotic forest 60%, pasture 20% mean flow 82 m3/s median flow 47 m3/s

Dataset flood event samples monthly sampling June 03-June 04 sample interval 10 to 30 minutes –auto sampler continuous turbidity - OBS lab turbidity – NTU E. coli – Colilert, most probable number/100 mL monthly sampling May 03 – Dec 05

Monitoring period event flow monthly

Concentrations Kolmogorov-Smirnov p=0.000 concentrations high during events – particularly on rising limbs of hydrographs

E. coli vs flow

E. coli vs turbidity

18-22 Sep 03 E. coli Flow Turbidity

18-21 June 2004 E. coli Flow Turbidity

Loads LOADEST USGS model log-linear regression lnQ, lnQ2, seasonality, decimal time (centred to eliminate collinearity)

LOADEST Inst loadobs E = 0.55 r2 = 0.69 mean Ld = 1.4 x 107 #/day max Ld = 9 x 108 #/day Daily loadpred

Conclusions bugs and mud are from different sources turbidity may not be a consistently useful surrogate for E. coli in large rivers alternative is to use flow