|EDEN is a real-time hydrologic tool for assessments by MAP PIs and for adaptive management by decision makers.
This project is intended to support the South Florida Hydrology Monitoring Network module of the Comprehensive Everglades Restoration Plan (CERP) RECOVER Monitoring and Assessment Plan (MAP) and is directly linked to the monitoring and supporting research components identified in that module. The goal of the MAP is develop a single integrated system-wide monitoring assessment plan that will be used and supported by all participating agencies and tribal governments to track and measure system-wide responses to the implementation of CERP. To date, there is no one network that provides real-time stage data across the greater Everglades landscape to guide large-scale field operation, to integrate hydrologic and biologic responses, and to support the MAP assessments by scientists and principal investigators (PIs) across disciplines all of which are founded on the hydrology.
The objectives of this project are:
- to relate water-level data at real-time stage gages to ungaged areas, and using ground elevation data, compute water depths throughout the greater Everglades.
- to gain an understanding of microtopography as it relates to vegetation and use vegetation to define water depth differences.
- to develop a “click-able” web-based GIS map to access real-time water-level data for all gages by RECOVER agencies in the greater Everglades.
- to develop a dynamic web-based ARC-IMS tool for access to user-specified hydrologic data for study sites, such as computed water depth, hydrograph recession rates, slope and hydroperiod; including other GIS information such as soils, water quality parameters, rainfall, and periphyton densities.
|Boundary of Greater Everglades Wetlands within the Influence of CERP (taken from CERP MAP Part 1) with landscape unit delineations. [larger image]|
Scope of Work
- Everglades Depth Estimation Network (EDEN) Digital Elevation Model Research and Development (from the GEER Conference, June 2006)
- A User Interface to the Everglades Depth Estimation Network (EDEN) (from the GEER Conference, June 2006)
- Application of a Dynamic Clustering Algorithm to the Water-Level Hydrographs of the EDEN Hydrologic Network (from the GEER Conference, June 2006)
- Application of the Everglades Depth Estimation Network (EDEN) to Monitoring and Restoration (from the GEER Conference, June 2006)
- Assessing Everglades Restoration Using Everglades Depth Estimation Network (EDEN) (from the USGS Gulf Coast Science Conference and Florida Integrated Science Center Meeting, October, 2008)
- Estimating Water Depths at Ungaged Locations in the Florida Everglades Using Artificial Neural Networks (from the GEER Conference, June 2006)
- Surfacing Daily Everglades Water Depths for the Everglades Depth Estimation Network (from the GEER Conference, June 2006)
- The Everglades Depth Estimation Network in Support of Ecological and Biological Assessments (from the GEER Conference, June 2006)
- Using Artificial Neural Network Models to Integrate Hydrologic and Ecological Studies of the Snail Kite Falcon in the Everglades, USA (from the GEER Conference, June 2006)