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Reservoir Limnology of Arid Regions: Problems with Predicta Reservoir Limnology of Arid Regions: Problems with Predicta

Reservoir Limnology of Arid Regions: Problems with Predicta - PowerPoint Presentation

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Reservoir Limnology of Arid Regions: Problems with Predicta - PPT Presentation

David Walker PhD University of Arizona Compared to NorthTemperate Regions Increased drainage area size Flashy hydrology Watersheds prone to increased disturbance Elevation gradients ID: 271923

reservoir model environmental water model reservoir water environmental models increased difficult response quality nutrient scale disturbance conditions biotic determine

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Slide1

Reservoir Limnology of Arid Regions: Problems with Predictability.

David Walker Ph.D.

University of ArizonaSlide2

Compared to North-Temperate Regions.

Increased drainage

area size.

Flashy hydrology

.

Watersheds prone to increased disturbance.

Elevation gradients.

Wildland

Fire.

More productive with fewer bio-available nutrients. Slide3
Slide4
Slide5

More Prone to the Effects of Climate Change

Thinner

snowpacks

.

Relicts from last Pleistocene will dwindle.

Increased frequency and intensity of erosive events.

Increased nutrient loading in aging reservoirs. Slide6

From Meta- to Micro- Scale.

Phytoplankton assemblages are extraordinarily patchy.

Overall biomass is difficult enough to model!

Knowing what assemblage types to expect under any given set of conditions is extraordinarily difficult. Slide7
Slide8

Large-Scale Models

Based on “mean-field” approaches.

Ecological patchiness is smoothed

Advantages:

Tractability

Few parameters

Clear interpretationSlide9

Disadvantages

Patchiness is smoothed out(!)

Micro-scale dynamics are impossible to ascertain.

Yet these are often the metrics we are most concerned about.

The effect of the multitude of possible disturbance types is difficult to determineSlide10

Commonly Used Lake/Reservoir Models for TMDL Development

Watershed Models

Loading Simulation Program in C++ (LSPC)

Watershed Assessment Model (

WAMview

)

Storm Water Management Model (SWMM)Slide11

Receiving Water Models

A Dynamic One-Dimensional Model of Hydrodynamics and Water Quality (EPDriv1)

Stream Water Quality Model (Qual2K)

Conservational Channel Evolution and Pollutant Transport System (CONCEPTS)

Environmental Fluid Dynamics Code (EFDC)

Water Quality Analysis Simulation Program (WASP)

EUTROMOD

BATHTUBSlide12

Problems with Quantification

“Examples

of indicators

for a

nutrient TMDL include total

phosphorus

concentration

, total

nitrogen

concentration,

chlorophyll

concentration

, algal biomass, and percent

macrophyte

coverage.”

Target values for indicators then need to be established.

“Although

such discrete impaired and unimpaired cutoffs do not exist in natural

systems, quantifiable goals nevertheless are a necessary component of TMDLs.”Slide13

Square Pegs and Round Holes

Often nebulous correlations between nutrient concentrations and both type and amount of phytoplankton…or any indicator for that matter.

We simply do not know all the environmental requirements for any given species of alga to grow and survive.

Let alone interactions between species. Slide14

Although models are able to predict pollutant concentrations and movement with decent accuracy, they often fail completely at determining the biological response. Slide15

Lake and Reservoir Characterization is Difficult

All are unique

Spatial and temporal variability

Biotic interactions the we cannot (yet) detect

Nebulous correlation between environmental change, disturbance, etc. and biotic response. Slide16

A Three-Pronged Approach

1)

Coordinated monitoring and sampling.

Taking spatial and temporal variability into account.

Covers the “uniqueness” of individual areas.

Helps to understand the biotic response to environmental conditions.

Needs to be on-going. Slide17
Slide18

2) Field and Laboratory Studies

To determine specific lake/reservoir responses following manipulation.

Replication and control.

Based upon logical findings and observations.Slide19
Slide20
Slide21

INSERT CORING PICSlide22

Constant Model Calibration

Data collected during monitoring and field/laboratory studies used to determine individual reservoir response to a wide variety of environmental conditions.

Models individualized.

Model refinement should be on-going.

Heuristic. Slide23

A Narrative Approach

Square Pegs and Round Holes

We cannot quantify the, as of yet, un-quantifiable.

Defining reservoir condition should include a combination of quantitative, semi-quantitative, and qualitative approaches.

A

multi-tiered approach is the one most grounded in reality. Slide24

Questions