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Title: Supplemental Environmental Assessment and Finding of No Significant Impact : Installation, Testing and Monitoring of a Physical Model for the Water Conservation Area 3 Decompartmentalization and Sheetflow Enhancement Project : Phase 2, Appendix B, Triggers Guiding Year Round DPM Operations
Authors: United States. Army. Corps of Engineers. Jacksonville District.
Keywords: Everglades (Fla.)
Flood control
Environmental protection
Restoration ecology
Publisher: United States. Army. Corps of Engineers. Jacksonville District.
Abstract: The objectives of this document are (1) to evaluate key environmental covariates in explaining monthly variation in geometric mean water P concentrations (water GMTP) at the S-151 (see map in Figure 1-1), and (2) use covariates and S151 data to develop preliminary triggers to guide operations of the S-152 for the Decomp Physical Model (DPM) and assure low water TP inflow concentrations. Previous analyses conducted by Saunders and Sklar (2011) used data encompassing 2003-2010 to test covariates explaining interannual and monthly water column TP variation in the L67A canal. The analyses focused on TP concentrations during the original DPM operational window; October to January, (DPM Science Plan 2010), the months consistently exhibiting the lowest TP values. These analyses showed that S-151 water TP exhibited relatively higher values during years 2006 and 2007, compared to other years (≤10 ppb) and that high values corresponded with relatively low stages in interior WCA-3A marshes (based on EDEN8 stages) (Saunders and Sklar, 2011). They also found that previous months’ TP, including 1-month and 2-month lags, could be used to explain variability in TP. Examination of all months over the study period highlight that water GMTP ≤10 ppb or ≤11 ppb may occur in months outside of the October through January window (Table 1-1). The analyses presented here focus on the covariates that best explained TP variation in previous analyses (Table 1-2; Saunders and Sklar, 2011) but also include analyses of all months, new covariates (e.g., marsh-canal stage difference; additional information on fire events), and slightly more complex statistical models given the larger sample size (N = 13 to 15, depending on the month) compared to the previous analyses (N= 6-8). With the larger sample size the models are more robust, providing decreased uncertainty in the factors explaining the GMTP at S152.
Description: Environmental Assessment/Finding of No Significant Impact
Rights: Approved for Public Release; Distribution is Unlimited
Size: 64 pages/11.76 Mb
Appears in Collections:Environmental Documents

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