WATER

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Nutrient Management Strategy

CPRA Master Plan Predictive Modeling: Barrier Shoreline Morphology Model - Dr. Ioannis Georgiou, UNO

This model was developed specifically for the Louisiana 2012 Coastal Master Plan for barrier shoreline and inlet evolution at a decadal scale.

FILE TYPE: link
DATE:02/07/2017
CPRA Master Plan Predictive Modeling: Eco-Hydrology Model - Dr. Ehab Meselhe, ULL

The Eco‐Hydrology models are capable of simulating long‐term hydrodynamic and water quality processes, where the maximum simulation period was 25 years. They can also cover large spatial domains, e.g. the entire Louisiana coast. The models can simulate complex systems such as the nutrient cycles of nitrogen and phosphorus, which involve multiple chemical processes occurring simultaneously. Outputs include TKN, Nitrate+Nitrite, Ammonium, DON, N-removal, TP, and soluble P.

FILE TYPE: link
DATE:02/07/2017
CPRA Master Plan Predictive Modeling: Fish & Wildlife Habitat Suitability Indices - Dr. Andy Nyman

Predictive models used for the 2012 Coastal Master Plan to predict potential habitats suitable for these species into the future. Multiple reports/models, including crawfish (wild caught), shrimp (brown and white), and oysters.

FILE TYPE: link
DATE:02/07/2017
CPRA Master Plan Predictive Modeling: Storm Surge and Wave Model - Hugh Roberts, PE

The Surge/Wave Attenuation Potential Suitability Index (SI) is intended to consider the potential effect of a project in attenuating storm surge/waves that would otherwise impact populated areas. It is based on 500 x 500m model grid cells and calculated on a 5 year time step. The model combines location from areas designated for 100 or 500yr level protection, percent land, vegetation type, and elevation inputs to produce a suitability index for surge/wave attenuation potential ranging from 0.0 to 1.0.

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DATE:02/07/2017
CPRA Master Plan Predictive Modeling: Vegetation Model - Dr. Jenneke Visser, ULL

The vegetation model (LAVegMod) described in this appendix is the next generation of a similar model (habitat switching module) initially developed as part of the Louisiana Coastal Area study (Visser et al. 2003). LAVegMod divides the original 5‐habitat model for the Louisiana coast into 19 vegetation types. LAVegMod provides longer estimates of interannual variation in aboveground biomass; however, biomass varies with vegetation type. The model is intended as a tool for protection and restoration planning that provides repeatable estimates of the changes in species composition based on changes in hydrology and wetland area. This tool was developed for use by a trained modeler and is dependent on other models that forecast changes in hydrology and wetland area.

FILE TYPE: link
DATE:02/07/2017
CPRA Master Plan Predictive Modeling: Wetland Morphology Model – Brady Couvillion, U.S. Geological S

The Wetland Morphology model was developed to predict coastal Louisiana wetland morphologic dynamics in a changing environment (e.g., global warming, eustatic sea‐ level rise [ESLR], land subsidence, freshwater and mineral sediment supply reductions). The model consists of relative elevation and landscape change sub‐models that are developed based upon the best available data and our most recent understanding of the role of coastal biophysical processes including land loss, land gain, marsh collapse, sediment transport, sediment deposition, sediment retention, vertical accretion, organic matter production, sea level rise (SLR), and subsidence on shaping coastal morphology.

FILE TYPE: link
DATE:02/07/2017
CropScape

CropScape is a geospatial data service which offers advanced tools such as interactive visualization, web-based data dissemination and geospatial queries and automated data delivery to systems such as Google Earth. CropScape was developed in cooperation with the Center for Spatial Information Science and Systems at George Mason University and is hosted their website

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DATE:02/07/2017
CRSSP Imagery-Derived Requirements (CIDR)

The CRSSP Imagery-Derived Requirements (CIDR) Tool enables U.S. Federal civil agencies to enter near-term land remote sensing data requirements. Log in from USGS needed. Data tool is for upload of data acquisition for remote sensing data, related to USGS EarthExplorer Tool.

FILE TYPE: link
DATE:02/07/2017
CWA Section 301

Except as in compliance with this section and sections 302, 306, 307, 318, 402, and 404 of this Act, the discharge of any pollutant by any person shall be unlawful. [33 USC 1311]

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DATE:02/07/2017
Discharge Monitoring Report (DMR) Pollutant Loading Tool

The Discharge Monitoring Report (DMR) Pollutant Loading Tool is a new tool designed to help you determine who is discharging, what pollutants they are discharging and how much, and where they are discharging. The tool calculates pollutant loadings from permit and DMR data from EPA‘s Permit Compliance System (PCS) and Integrated Compliance Information System for the National Pollutant Discharge Elimination System (ICIS-NPDES). Data is available for the years 2007 through 2011. Pollutant loadings are presented as pounds per year and as toxic-weighted pounds per year to account for variations in toxicity among pollutants.

FILE TYPE: link
DATE:02/07/2017