The utility of spatially explicit variables in watershed scale phosphorus water quality modeling
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The utility of spatially explicit variables in watershed scale phosphorus water quality modeling
Mark BreunigGEOG 681
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What?
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The utility of spatially explicit variables in watershed scale phosphorus water quality modeling
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Although efforts are underway to set stream standards in Wisconsin and elsewhere, there is still controversy regarding the mechanisms that control stream phosphorous concentrations. This represents a collective misunderstanding of the fundamental processes that control water quality at the catchment scale (Boomer et al. 2008). It is a very common practice for researchers to attribute poor results to inadequate spatial data (Hunsaker et al. 1995; Soranno et al. 1996; Jain et al. 2000; Jones et al. 2001; Richards et al. 2006; Boomer et al. 2008).
Why?
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WARNING:USLE & its derivatives used at the “field scale” =
USLE & its derivatives used at the “watershed scale” =
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Purpose of Model: to increase the effectiveness of watershed-scale phosphorus water quality modeling
Taxonomy of Model: Deterministic, empirical, inductive
Data Inputs: Field Data collected by USGS2001 NLCD (National Land Cover Database) - USGS30 DEM – USGSSSURGO – NRCS
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The Data
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0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00
-2.50
-2.00
-1.50
-1.00
-0.50
0.00
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% Ag vs Log(TPmedF)
% Agriculture
Log
(TPm
edF)
2001 – 157 sites2002 – 78 sites2003 – 5 sitesTotal: 240 sites
R2 = 43%p < 0.001
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Σ(eFLag* β)
Σ(eFLall* β)
Pixel Value(proportion – no units)
0
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0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000
Pixe
l Val
ue (%
effe
ctive
)
Distance (m)
0.05000
0.01000
0.00250
0.00100
0.00043
0.00022
0.00011
0.00006
0.00003
0.00001
0.00000
0.0%10.0%
20.0%30.0%
40.0%50.0%
60.0%70.0%
80.0%90.0%
100.0%
-2.5
-2
-1.5
-1
-0.5
0
0.5
f(x) = 0.83620511211752 x − 1.44411517151365R² = 0.455085267094821
Pixel Value vs logTPmedF
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ProblemsSSURGO !!!30 m DEM!!!Model Conceptualization
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Further WorkCV SlopeCumulative SlopeKsat_r