SCCF LOSOM iter2

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---
name: title
class: left, middle

### Lake Okeechobee System Operating Manual

.pull-left[
#### Iteration 2 Modeling - Estuary Nutrient Loading Models

*Sanibel-Captiva Conservation Foundation*

*Conservancy of Southwest Florida*

July 07, 2021 (Updated: July 16, 2021 )

]

.pull-right[
<img src="./Plots/SCCF Logo knockout_c.png" width="40%" style="display: block; margin: auto;" />

]

.footnote[
Paul Julian PhD [<svg aria-hidden="true" role="img" viewBox="0 0 512 512" style="height:1em;width:1em;vertical-align:-0.125em;margin-right:0.2em;font-size:inherit;fill:currentColor;overflow:visible;position:relative;"><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg>](mailto: pjulian@sccf.org) .small[pjulian@sccf.org]
]

---
name: alternatives

### Iteration 2 - Model runs

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Enhances SLE ecology.</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c01ecef4">BB</td><td class="cl-c01ecef5">SPLC Framework. Improve water supply to pre-LORS08</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c01ecef4">CC</td><td class="cl-c01ecef5">Pareto Plan D Framework. Enhances CRE ecology and improves water supply</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c01ecef4">DD</td><td class="cl-c01ecef5">Pareto Plan A Framework. Incremental improvement over LORS.</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c01ecef4">EE1</td><td class="cl-c01ecef5">Stage Target Operation Framework. Improve water supply performance by reducing flows south.</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c01ecef4">EE2</td><td class="cl-c01ecef5">Stage Target Operations Framework. Reduce flows to SLE by reducing Zone B release rate.</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c01ecef6">SR3.5</td><td class="cl-c01ecef7">SFWMD Sensitivity Run for CC (NOT an offical alternative)</td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="2"class="cl-c01ecef8"> 1 Existing Conditions Baseline 2019, revised (replaces LSMECB)</td></tr><tr style="overflow-wrap:break-word;"><td colspan="2"class="cl-c01ecef8"> 2 No action Condition 2025 (replaces LSM25B)</td></tr></tfoot></table></div></template>
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.small[

**SR3.5**
* Was included in this evaluation but is **NOT** an official iteration 2 alternative.

* Built from alternative CC

* SFWMD sensitivity run which serves as an example run incorporating policy direction (as informed by the Governing Board) and trade-offs between oper the different systems

* Presented at the July 15th 2021 Governing Board

]

---
name: methods

### The Models

Caloosahatchee River Estuary (S-79) - [Model Presentation](https://owper-tech.github.io/slides/LOSOM/ENLM/Julian_LOSOM_CRE_ENLM_ad1) - FDEP (2021a)

`\begin{align*}
TP Load_{S79} = 127156 + 0.20 Q_{C43 Basin} + 0.08 Q_{S77} - 7689 Mean  Lake  Stage
\end{align*}`

`\begin{align*}
TN Load_{S79} = 27561 + 1.53 Q_{C43 Basin} + 1.58 Q_{S77} + 20813 Mean  Lake  Stage
\end{align*}`

* Model as [.RData file](https://github.com/SwampThingPaul/LOSOM_ENLM/blob/3fc1caa72640217bbf8646f5bf503f1b474d5247/Export/CRE_mods.RData)

St Lucie River Estuary (S-80) - [Model Presentation](https://owper-tech.github.io/slides/LOSOM/ENLM/Julian_LOSOM_SLE_ENLM) - FDEP (2021b)

.center[
.small[
`\begin{align*}
ln(TP Load_{S80}) = -2.49 - (2.85x10^{-7}\times Q_{C44 Basin}) - (5.29x10^{-8}\times Q_{S308}) + (1.22\times ln(Q_{S80}))\\- (0.13\times Mean Stage)
\end{align*}`
]
]

.small[
`\begin{align*}
ln(TN Load_{S80}) = 1.76\times 10^{-2} + (6.60\times 10^{-8} Q_{C44 Basin}) + (1.99\times 10^{-7} Q_{S308}) + (1.06\times 10^{-2} ln(Q_{S80}))\\ - (1.70x10^{-2} Mean  Stage)
\end{align*}`
]

* Model as [.RData file](https://github.com/SwampThingPaul/LOSOM_ENLM/blob/3fc1caa72640217bbf8646f5bf503f1b474d5247/Export/SLE_mods.RData)

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name: files

### Output

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rowspan="2"class="cl-c03e3d02"></td><td class="cl-c03e3d03">Model Alternative</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">WY</td><td class="cl-c03e3d03">Florida Water Year (May - April)</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">Q.S77/Q.S308</td><td rowspan="3"class="cl-c03e3d02">Ac-Ft WY⁻¹</td><td class="cl-c03e3d03">Annual Discharge S77/S308 (depending on file)</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">Q.S79/Q.80</td><td class="cl-c03e3d03">Annual Discharge S79/S80 (depending on file)</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">Q.C43/Q.C44</td><td class="cl-c03e3d03">Annual Discharge C43/C44 (depending on file)</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">mean.stg</td><td class="cl-c03e3d02">Ft, NGVD</td><td class="cl-c03e3d03">Annual (WY) average Lake Okeechobee Stage</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">TPLoad.kg.fit</td><td rowspan="6"class="cl-c03e3d05">kg WY⁻¹</td><td class="cl-c03e3d03">Predicted TP load</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">TPLoad.kg.95LCI</td><td class="cl-c03e3d03">Predicted 95% lower CI TP load</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">TPLoad.kg.95UCI</td><td class="cl-c03e3d03">Predicted 95% upper CI TP load</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">TNLoad.kg.fit</td><td class="cl-c03e3d03">Predicted TN load</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d04">TNLoad.kg.95LCI</td><td class="cl-c03e3d03">Predicted 95% lower CI TN load</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c03e3d07">TNLoad.kg.95UCI</td><td class="cl-c03e3d06">Predicted 95% upper CI TN load</td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="3"class="cl-c03e3d08"> TP = Total Phosphorus; TN = Total Nitrogen; WY = Florida Water Year; Ac-Ft = Acre-foot; kg = kilogram; CI = Confidence Interval; NGVD = National Geodetic Vertical Datum</td></tr></tfoot></table></div></template>
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.pull-left[
.center[
**Caloosahatchee River Estuary (S79) Nutrient Load Model Output**

<a 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download="Iter1_CRE_ENLM.xlsx">
<button class="btn btn-primary" has_icon="TRUE"> Download CRE ENLM results</button>
</a>
]
]

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.center[
**St Lucie River Estuary (S80) Nutrient Load Model Output**

<a 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download="Iter1_SLE_ENLM.xlsx">
<button class="btn btn-primary" has_icon="TRUE"> Download SLE ENLM results</button>
</a>
]
]

---
name: hydrodata

### Hydrologic Data

.center[Boxplot of annual total discharge and mean annual lake stage for Florida water years 1966 - 2016 (May 1965 - April 2016).]

---
name: CRE
class: middle, center

## Caloosahatchee River Estuary

---
name: ldc-TP

### Total Phosphorus Load Duration Curve

.center[Cumulative distribution/load duration curve comparison of S-79 TP loads for each alternative relative to FWO (NA25) and ECB (ECBr).]

---
name: ldc-TN

### Total Nitrogen Load Duration Curve

.center[Cumulative distribution/load duration curve comparison of S-79 TN loads for each alternative relative to FWO (NA25) and ECB (ECBr).]

---
name: CRE bxp

### S-79 Load

<img src="./Plots/Iteration_2/S79_Load_bxp.png" width="70%" style="display: block; margin: auto;" />
.center[Boxplot representing annual TP (top) and TN (bottom) loads during the simulation period across alternatives. Black-dashed line represents the FWO median and green dashed line and point in boxplot indicates period of simulation mean.]

---
name: loadsum

### S-79 Load Summary

.pull-left[
<img src="./Plots/Iteration_2/S79_Load_PerDiff.png" width="100%" style="display: block; margin: auto;" />
]

.pull-right[
Percent difference of average load relative to the FWO (NA25) alternative over the entire simulation period for total phosphorus (left) and total nitrogen (right) loads.

]

---
name: FWM

### S-79 FWM Concentration

<img src="./Plots/Iteration_2/S79_FWM_bxp.png" width="70%" style="display: block; margin: auto;" />
.center[Boxplot representing annual TP (top) and TN (bottom) flow-weighted mean concentration during the simulation period across alternatives. Black-dashed line represents the FWO median and green dashed line and point in boxplot indicates period of simulation mean.]

---
name: fwmsum

### S-79 FWM Summary

.pull-left[
<img src="./Plots/Iteration_2/S79_FWM_PerDiff.png" width="100%" style="display: block; margin: auto;" />
]

.pull-right[
Percent difference of average flow-weighted mean relative to the FWO (NA25) alternative over the entire simulation period for total phosphorus (left) and total nitrogen (right) loads.

]

---
name: CRE Load MCDA

### CRE Nutrient Load/FWM MCDA

* Equal weight for TP and TN loads and FWM Concentrations

.pull-left[

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class="cl-c1a946fc">214379</td><td class="cl-c1a946fc">2294090</td><td class="cl-c1a946fb">0.228</td><td class="cl-c1a946fa">6</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a946fd">AA</td><td class="cl-c1a946fc">213083</td><td class="cl-c1a946fc">2370227</td><td class="cl-c1a946fb">0.076</td><td class="cl-c1a946fa">7</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a946fd">BB</td><td class="cl-c1a946fc">199689</td><td class="cl-c1a946fc">2144604</td><td class="cl-c1a946fb">1.000</td><td class="cl-c1a946fa">1</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a946fd">CC</td><td class="cl-c1a946fc">214786</td><td class="cl-c1a946fc">2382016</td><td class="cl-c1a946fb">0.000</td><td class="cl-c1a946fa">8</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a946fd">DD</td><td class="cl-c1a946fc">211071</td><td class="cl-c1a946fc">2284075</td><td class="cl-c1a946fb">0.344</td><td class="cl-c1a946fa">4</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a946fd">EE1</td><td class="cl-c1a946fc">204478</td><td class="cl-c1a946fc">2205691</td><td class="cl-c1a946fb">0.718</td><td class="cl-c1a946fa">2</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a946fd">EE2</td><td class="cl-c1a946fc">207240</td><td class="cl-c1a946fc">2245683</td><td class="cl-c1a946fb">0.543</td><td class="cl-c1a946fa">3</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c1a94701">SR3.5</td><td class="cl-c1a94700">203348</td><td class="cl-c1a94700">2226177</td><td class="cl-c1a946ff">---</td><td class="cl-c1a946fe">---</td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c1a96df6"> 1Period of Simulation mean.</td></tr><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c1a96df6"> 2Data Normalized and equally weighted. SR3.5 Not included in MCDA analysis.</td></tr><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c1a96df6"> 3When ties are present, the 'first' method was used (permutation with increasing values at each index set).</td></tr></tfoot></table></div></template>
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---
name: CRE MCDA Sen

### CRE Load MCDA Sensitivity

.center[MCDA weighting sensitivity for S79 during the simulated period of record mean TP and TN loads for each alternative.]

---
name: CRE MCDA Sen2

### CRE FWM MCDA Sensitivity

.center[MCDA weighting sensitivity for S79 during the simulated period of record mean TP and TN FWM for each alternative.]

---
name: SLE
class: middle, center

## St Lucie River Estuary

---
name: ldc-TP SLE

### Total Phosphorus Load Duration Curve

.center[Cumulative distribution/load duration curve comparison of S-80 TP loads for each alternative relative to FWO and ECB.]

---
name: ldc-TN SLE

### Total Nitrogen Load Duration Curve

.center[Cumulative distribution/load duration curve comparison of S-80 TN loads for each alternative relative to FWO (NA25) and ECB (ECBr).]

---
name: SLE bxp

### S-80 Load

<img src="./Plots/Iteration_2/S80_Load_bxp.png" width="70%" style="display: block; margin: auto;" />
.center[Boxplot representing annual TP (top) and TN (bottom) loads during the simulation period across alternatives. Black-dashed line represents the FWO median and green dashed line and point in boxplot indicates period of simulation mean.]

---
name: loadsum

### S-80 Load Summary

.pull-left[
<img src="./Plots/Iteration_2/S80_Load_PerDiff.png" width="100%" style="display: block; margin: auto;" />
]

.pull-right[
Percent difference of average load relative to the FWO (NA25) alternative over the entire simulation period for total phosphorus (left) and total nitrogen (right) loads.

]

---
name: FWM

### S-80 FWM Concentration

<img src="./Plots/Iteration_2/S80_FWM_bxp.png" width="60%" style="display: block; margin: auto;" />
.center[Boxplot representing annual TP (top) and TN (bottom) flow-weighted mean concentration during the simulation period across alternatives. Black-dashed line represents the FWO median and green dashed line and point in boxplot indicates period of simulation mean.]

.small[FWMC during years with <80 ac-ft WY-1 were excluded. See original presentation - [link](https://owper-tech.github.io/slides/LOSOM/ENLM/Julian_LOSOM_SLE_ENLM#43).]

---
name: fwmsum

### S-80 FWM Summary

.pull-left[
<img src="./Plots/Iteration_2/S80_FWM_PerDiff.png" width="100%" style="display: block; margin: auto;" />
]

.pull-right[
Percent difference of average flow-weighted mean relative to the FWO (NA25) alternative over the entire simulation period for total phosphorus (left) and total nitrogen (right) loads.

]

---
name: sle Load MCDA

### SLE Nutrient Load/FWM MCDA

* Equal weight for TP and TN loads and FWM Concentrations

.pull-left[

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class="cl-c219aa00">79312</td><td class="cl-c219aa00">653860</td><td class="cl-c219a9ff">0.000</td><td class="cl-c219a9fe">8</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa01">AA</td><td class="cl-c219aa00">24442</td><td class="cl-c219aa00">230803</td><td class="cl-c219a9ff">1.000</td><td class="cl-c219a9fe">1</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa01">BB</td><td class="cl-c219aa00">69541</td><td class="cl-c219aa00">649823</td><td class="cl-c219a9ff">0.097</td><td class="cl-c219a9fe">7</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa01">CC</td><td class="cl-c219aa00">30480</td><td class="cl-c219aa00">283537</td><td class="cl-c219a9ff">0.883</td><td class="cl-c219a9fe">2</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa01">DD</td><td class="cl-c219aa00">52351</td><td class="cl-c219aa00">432274</td><td class="cl-c219a9ff">0.507</td><td class="cl-c219a9fe">3</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa01">EE1</td><td class="cl-c219aa00">57977</td><td class="cl-c219aa00">530651</td><td class="cl-c219a9ff">0.342</td><td class="cl-c219a9fe">5</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa01">EE2</td><td class="cl-c219aa00">53284</td><td class="cl-c219aa00">480257</td><td class="cl-c219a9ff">0.443</td><td class="cl-c219a9fe">4</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c219aa05">SR3.5</td><td class="cl-c219aa04">43911</td><td class="cl-c219aa04">431407</td><td class="cl-c219aa03">---</td><td class="cl-c219aa02">---</td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c219d226"> 1Period of Simulation mean.</td></tr><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c219d226"> 2Data Normalized and equally weighted. SR3.5 Not included in MCDA analysis.</td></tr><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c219d226"> 3When ties are present, the 'first' method was used (permutation with increasing values at each index set).</td></tr></tfoot></table></div></template>
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class="cl-c23f390a">184</td><td class="cl-c23f390a">1.48</td><td class="cl-c23f3909">0.000</td><td class="cl-c23f3908">8</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390b">AA</td><td class="cl-c23f390a">138</td><td class="cl-c23f390a">1.33</td><td class="cl-c23f3909">1.000</td><td class="cl-c23f3908">1</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390b">BB</td><td class="cl-c23f390a">154</td><td class="cl-c23f390a">1.44</td><td class="cl-c23f3909">0.541</td><td class="cl-c23f3908">3</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390b">CC</td><td class="cl-c23f390a">141</td><td class="cl-c23f390a">1.34</td><td class="cl-c23f3909">0.934</td><td class="cl-c23f3908">2</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390b">DD</td><td class="cl-c23f390a">165</td><td class="cl-c23f390a">1.41</td><td class="cl-c23f3909">0.429</td><td class="cl-c23f3908">5</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390b">EE1</td><td class="cl-c23f390a">157</td><td class="cl-c23f390a">1.44</td><td class="cl-c23f3909">0.495</td><td class="cl-c23f3908">4</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390b">EE2</td><td class="cl-c23f390a">163</td><td class="cl-c23f390a">1.45</td><td class="cl-c23f3909">0.383</td><td class="cl-c23f3908">6</td></tr><tr style="overflow-wrap:break-word;"><td class="cl-c23f390f">SR3.5</td><td class="cl-c23f390e">141</td><td class="cl-c23f390e">1.40</td><td class="cl-c23f390d">---</td><td class="cl-c23f390c">---</td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c23f5ffa"> 1Period of Simulation mean</td></tr><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c23f5ffa"> 2Data Normalized and equally weighted. SR3.5 Not included in MCDA analysis.</td></tr><tr style="overflow-wrap:break-word;"><td colspan="5"class="cl-c23f5ffa"> 3When ties are present, the 'first' method was used (permutation with increasing values at each index set)</td></tr></tfoot></table></div></template>
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---
name: SLE MCDA Sen

### SLE Load MCDA Sensitivity

.center[MCDA weighting sensitivity for S80 during the simulated period of record mean TP and TN loads for each alternative.]

---
name: SLE MCDA Sen2

### SLE FWM MCDA Sensitivity

.center[MCDA weighting sensitivity for S80 during the  simulated period of record mean TP and TN FWM for each alternative.]

---
name: Summary

### Summary

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---
name: Acknowledgments

### Acknowledgments

<img src="https://www.sfwmd.gov/sites/default/files/documents/sfwmd-seal-hq.png" width="8%" />
South Florida Water Management District ([DBHYDRO](https://www.sfwmd.gov/science-data/dbhydro))

<img src="https://www.publications.usace.army.mil/Portals/76/Publications/EngineerStandardsGraphics/gs-03.gif" width="8%" />
US Army Corps of Engineers ([USACE LOSOM](https://www.saj.usace.army.mil/LOSOM/))

* Interagency Modeling Center

[HTML Slide deck](https://sccf-tech.github.io/slides/LOSOM/SCCF_iter2_LOSOM_ENLMrslt.html) | [PDF Slide deck](https://sccf-tech.github.io/slides/LOSOM/SCCF_iter2_LOSOM_ENLMrslt.pdf) | [RMarkdown Source](https://github.com/SwampThingPaul/LOSOM_ModelEval) &copy; Julian (2021) [![Creative Commons License](https://i.creativecommons.org/l/by/4.0/88x31.png)](http://creativecommons.org/licenses/by/4.0/)

[Analysis Script](https://raw.githubusercontent.com/SwampThingPaul/LOSOM_ModelEval/main/src/iter2_nutrientload_eval.R)

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