What It All Means: What we monitor Why we monitor those things Why it matters to monitor those things How to use the data Water Quality and Volunteer Monitoring:

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Presentation transcript:

What It All Means: What we monitor Why we monitor those things Why it matters to monitor those things How to use the data Water Quality and Volunteer Monitoring: A Workshop for Water Education Professionals December 15-16, 2004 Yuma Crossing State Park, Yuma, AZ

What’s monitored? Chemical Physical Biological

Top Parameters Lakes & Rivers River/Streams Water Temp. (88%)  pH (78%)  Macroinverts (76%)  Diss. Oxygen (73%)  Nitrogen (53%)  Flow/water level (51%) River/Streams Water Temp. (88%)  pH (78%)  Macroinverts (76%)  Diss. Oxygen (73%)  Nitrogen (53%)  Flow/water level (51%) Lakes Secchi trans. (88%)  Water Temp. (74%)  Phosphorus (66%)  Diss. Oxygen (58%)  Chlorophyll (51%)  pH (45%) Lakes Secchi trans. (88%)  Water Temp. (74%)  Phosphorus (66%)  Diss. Oxygen (58%)  Chlorophyll (51%)  pH (45%)

Stream Flow What values you might find Measured in cubic feet per second (cfs) Colorado River below Laguna Dam: mean is 1726 cfs (31 years of records); median is between cfs Verde River (Scottsdale): mean is 344 cfs; median is between cfs Little Colorado (Woodruff): mean is 19.2 cfs; median is between 7 and 9 cfs Affected by Weather patterns; irrigation; water use Affects Shape, size and course of stream/river

Turbidity What values you might find NTU (Nephelometric turbidity units) (often exceeds 1000 NTUs with runoff) [Note AZ repealed turbidity standard of 50 NTU in 2002] Affected by Erosion from construction, tillage and stream banks Algal growth Organic particles Point sources – industrial wastes, municipal wastewaters Affects Light transmission and algal and aquatic plant growth Water taste Transport of nutrients and toxins Spawning beds

Total Suspended Solids What values you might find 50-50,200 ppm (beyond 150,000 in runoff water from erosion events in Little Colorado River at Joseph City) Affected by Erosion from construction, tillage and stream banks Algal growth Point sources – industrial wastes, municipal wastewaters Affects Light transmission and algal and aquatic plant growth Water taste Transport of nutrients and toxins Spawning beds

Dissolved Oxygen What values you might find Depends on temperature; 6 – 10 mg/L oxygen; % saturation is good Affected by Time of day Groundwater – base flow inputs - geology Organic matter in the stream – wastes, plant parts, etc. Riffles, turbulence, falls; Algal activity Affects Fish and macroinvertebrate health Algal and aquatic plant growth rates Rates of microbial activity

pH What values you might find pH 6 – 9; 5.6 in equilibrium with atmosphere Affected by Groundwater – base flow inputs - geology Nutrient inputs Point sources Algal activity – up to pH 10 in blooms Affects Ammonia toxicity to aquatic organisms Nutrient uptake Heavy metal toxicity to aquatic organisms

Temperature What values you might find Groundwater – 50F Affected by Groundwater – base flow inputs Shade Point sources; Runoff ; Snow melt Depth – in lakes Affects Amount of oxygen water can hold Rate of photosynthesis Metabolic rates of aquatic organisms Sensitivity of organisms to wastes, parasites, diseases

Conductivity - salinity What values you might find micro mhos/cm Affected by Groundwater – base flow inputs - geology Snow melt, runoff from soil Point sources – human wastes, manures, industrial wastes Affects Health of fish Plant growth, at high levels Nutrient and toxin solubility Coagulation of particles

Nitrogen What values you might find <1 mg/L NH 4 as N; < 0.5 mg/L NO 3 - Affected by Groundwater – base flow inputs - geology Snow melt, runoff from soil Point sources – human wastes, manures, industrial wastes Affects Health of fish Plant growth, at high levels Nutrient and toxin solubility Coagulation of particles

Phosphorus What values you might find Less than 0.5 mg/L Affected by Groundwater – base flow inputs - geology Snow melt, runoff from soil Point sources – human wastes, manures, industrial wastes Affects Health of fish Plant growth, at high levels Nutrient and toxin solubility Coagulation of particles

Macroinvertebrates Which ones are present Mayflies, stoneflies, caddisflies, crayfish, snails, worms, true bugs, damselflies, dobsonflies, beetles, etc. Affected by Pollution inputs (organic and inorganic) Available habitat Velocity and volume of water (flow) Affects Fish health

Habitat Scoring Assessment scores vary between programs – based on size, bottom substrate, sinuosity, riparian vegetation, bank stability, etc. Affected by Runoff Land use Affects Fish and macroinvertebrate survival/success Turbidity/TSS Nutrient concentrations (if erosion)

Bacteria What values you might find <1 – TNTC cfu/100 mL 235 cfu/100 mL E. coli is standard Affected by Warm-blooded animals’ Malfunctioning septic systems Snow melt Runoff Groundwater (dilution effect) Affects Potential health hazard with presence above standard

Other Alkalinity Hardness Metals Plants Fish Pesticides Drugs

Using the data: Local Use is essential Volunteer Track stream quality Establish long term trends Isolate sources of pollution problems Provide data to local planners Educate landowners about local water resources Regional Coordinator Compile watershed data to get overall watershed health assessment Alert state agency to pollution problems Provide data to different local users Source: “Save Our Streams Volunteer Trainer’s Handbook” by Firehock

Steps to Using Data Locally The data Entered into database Validated Backed up! Interpreted –Minimum of 5 data points for statistics AverageGeometric mean MedianRange QuartilesAbundance Biotic indexPollution tolerance Source: “Data to Information” by Schloss and Dates

Suggested Data Summaries Temperature D.O. (mg/L) D.O. (% saturation) Water Clarity Bacteria Turbidity Nutrients Conductivity pH Biological Community Average Seasonal average Seasonal median Median Maximum Minimum Range Quartiles Geometric mean Biometrics Source: “Data to Information” by Schloss and Dates

Steps to Using Data Locally The data Presented –Tables –Maps –Graphs Title Axes labeled (don’t forget units) Scale that shows trends Legend Tells a story/lets reader understand meaning Not too busy Source: “Data to Information” by Schloss and Dates

Water quality standard: 235 Source: “Data to Information” by Schloss and Dates

Distribution of Lakes by TSI URIWW Locations with 3 or more years of data only

It’s not (too) difficult Hardest parts Deciding what you want to show Organizing the data Time to run analyses and create tables/graphs Consistent presentation

Let’s Try It 1.Map of Cooper River Watershed 2.Data for 4 sampling dates 3.Question for you: What do you want to show? A. Site over time B. Watershed snapshot on different days X X X X X

Let’s Try It 1.Map of Cooper River Watershed 2.Data for 4 sampling dates 3.Question for you: What do you want to show? A. Site over time B. Watershed snapshot on different days X X X X X

Your Tasks Display data how you think it’s best to tell the story -- use large paper What additional information may be useful to know that you don’t currently know (to tell your story)? Present back to the group The idea is to get you thinking about what data you need to be able to tell the story you want to tell.

Summary There are many variables that can be monitored Choose equipment that will provide answers your desire Decide how much data are needed to tell the story Decide how its best to tell the story

“We monitor because we care; We care because we are informed; We are informed because we monitor.” -- Cassie Champion