Period Covered: October 1, 2008 through September 30, 2009
Project: South Florida Surface Water Monitoring Network for Support of MAP Projects Agency: U.S. Geological Survey (USGS) USGS Point of Contact: Pamela Telis, eden-data-help@usgs.gov, 904-232-2602 USACE Point of Contact: David Tipple, 904-232-1375, Gretchen Ehlinger, 904-232-1682 Agreement: USGS IA#12 under MOA between USGS and USACE
This annual report for 2009 summarizes the major accomplishments, lists of deliverables, and outlines the work plan for 2010 for the EDEN project. The EDEN's primary deliverable and product continues to be the EDENweb (sofia.usgs.gov/eden); the project website that provides all data, results, documentation, and other project information for EDEN users.
This year the EDEN project completely reevaluated its data management plan (see issues identified in Section VIII below) to handle the agency data from water-level gages, manage and process the data, and create daily water surfaces more efficiently and, if possible, with more automation. This included some of the following:
Developed a data management plan and obtained a review by an outside reviewer who has provided significant recommendations for efficiency and quality control. Implementation of these recommendations is ongoing.
Reconfigured the EDEN data management staff to include better mix of skill sets and to provide cross training necessary for consistent daily surfacing and data postings.
A simple regression gap filling program was developed for filling data gaps in water level data at gages prior to creating daily water level surfaces. Program was automated for use with provisional (quarterly) and final (annual) data sets. Work is ongoing to use the program potentially for creation of real-time surfaces. Currently requires significant manual review based on data received from agencies, however project staff continue to fine tune program and process.
EDEN continues to evaluate new and additional gages that may help fill in gaps in the network of gages used to create the daily water-level surfaces and potentially improve the surfaces. In 2009, EDEN added 5 gages to the network:
BARW4, BARW6A in western Big Cypress National Preserve
Using methodology for nearest-neighbor grid comparison developed by Florida Atlantic University (FAU) in 2008, the EDEN DEM for WCA1 was revised and improved. Other data used in development of this DEM revision included SFWMD Ken Rutchey's vegetation map (based on the 2004 aerial imagery) and the vegetation data from the USGS aerial height finder data sets.
The area south of Big Cypress National Preserve to the mangrove edge (an area not previously included in the EDEN DEM) was added to the EDEN DEM. The DEM was developed using the method documented for the current DEM.
Documentation, metadata, and the new DEM are planned for posting on-line for users in November 2009.
Expand and improve EDEN surface water interpolation model
The surface water interpolation program is being updated for new and revised datasets and expanded to include an area south of BCNP to the mangrove ecotone. The expanded area is interpolated consistent with the existing program. This task has been delayed about 6 months because data quality issues required more time to address than expected. Coordination and integration of multi-agency datasets has proven to be more time intensive than expected at this point in the project.
3 days per water year (2004, 2007, 2008) are used to represent dry, wet, and average conditions for model calibration. 300-400 runs per day have been completed for the selected 9 days with varying parameter values based on EDEN extended daily medians prior to canal file revisions, including 50 runs randomly selected from 255,744 parameter scenarios. The parameter scenarios and resultant SW grids will serve as reference for evaluating canal file revisions.
USACE contract is in place to collect water level data at approximately 65 benchmarks through the Everglades in wet season 2009, dry season 2010, and wet season 2010. These data will be invaluable to continue the validation process of the EDEN surfacing model (a seemingly never-ending pursuit).
EDEN assisted the USACE Survey Section in installation and survey of 34 benchmarks (BMs, surveyed to Class B standards, stainless steel rod driven to refusal) in the Everglades wetland marshes. EDEN compiled the location of BMs, obtained permits where required, and will post all BM elevations and data sheets on the EDENweb. See Figure 1 for proposed BM locations.
Began pilot data analysis to review data in Shark River Slough for oligohaline zone analysis.
EDEN Newsletter currently has 90 subscribers and is used to notify users of updates or additions to the EDEN website.
II. Significant Meetings/Workshops/Conferences
The EDEN team participated in NCER 2009 with 5 posters and oral presentations
Conrads, P.A., Petkewich, M.D., Daamen, R.C., Roehl, E.A., Dealing with data realities – Automation of evaluation of data quality and estimation of missing data for the Everglades Depth Estimation Network (EDEN), NCER 2009
Henkel, H.S., The south Florida information access (SOFIA) system, NCER 2009
Telis, P.A., and Henkel, H., Assessing Everglades restoration using Everglades Depth Estimation Network (EDEN) , NCER 2009
Telis, P.A., Henkel, H., McCloskey, B., and Holmes, M., Rainfall and potential evaporation data for Everglades Depth Estimation Network (EDEN) gages, NCER 2009
Xie, Z., Liu, Z., and Jones, J.W., The development of digital elevation model for the area south of the Big Cypress National Park in the greater Everglades restoration, NCER 2009
UNESCO seminars
Liu, Z. and Z. Xie, 2009. Everglades Depth Estimation Network (EDEN) - model application, validation, and revision. 2009 UNESCO Lectures (organized by USGS), June 10-11, 2009, Davie, FL
Conrads, P., 2009. Data mining and neural network modeling. 2009 UNESCO Lectures (organized by USGS), June 10-11, 2009, Davie, FL
Henkel, H., 2009. The South Florida Information Access (SOFIA) System and Everglades Depth Estimation Network (EDEN). 2009 UNESCO Lectures (organized by USGS), June 10-11, 2009, Davie, FL
Other conferences
Telis, P.A., and Henkel, H., Assessing Everglades restoration using Everglades Depth Estimation Network (EDEN), USGS Gulf Coast Science Conference and Florida Integrated Science Center Meeting: Proceedings with Abstracts, October 20-23, 2008, Orlando, FL.
Liu, Z., F.J. Mazzotti, L.A. Brandt, S.S. Romanach, D.E. Ogurcak, and A.L. Higer. 2009. Relationship between alligator holes and EDEN hydrologic data in Everglades National Park, Florida. Annual Meeting of the Association of American Geographers, Las Vegas, NV.
Conrads, P., October 2008. Maximizing data-collection networks by using data-mining techniques – case studies in the Florida Everglades. Water Environmental Federation Technical Conference 2009, Chicago, IL.
III. Administrative (Contractual and Budgetary)
The end date for the existing agreement, USGS IA#12 under MOA between USGS and USACE, is 3/31/10. A new scope and cost estimate for the period 4/1/10 through 3/31/15 has been vetted through the Greater Everglades module leads and is in process for an Economy Act approval with the USACE.
University of Florida (UF, Aaron Higer, Zhongwei Liu) and Florida Atlantic University (FAU, Zhixiao Xie, Dale Gawlik) were funded by the EDEN project through a CESU agreement in FY09 for:
Improvement, expansion, and revision of the EDEN DEM
Revision of the EDEN surface water interpolation program
IV. Support from other Programs and Funding Sources
Greater Everglades PES funds continue to support the EDEN project by funding efforts by Paul Conrads (USGS-SC), John Jones (USGS-Reston), Heather Henkel (USGS-FISC), and Aaron Higer (UF). Additionally, PES provides some funds for Pamela Telis (USGS-FISC) in her role as project coordinator and liaison with the USACE.
ARRA (economic stimulus) funding was offered to the EDEN project for work that could be conducted under the ARRA regulations. Most work by the EDEN team is not allowable under the ARRA regulations, i.e. labor for federal government employees. In 2008, the USGS South Carolina Water Science Center funded Phase 1 of an effort by Advanced Data Mining (ADM), LLC, however, did not have funding for Phase 2 at this time. The project by ADM addresses data quality issues by developing an intelligent software application in order to automate the validation and correction of data, in the case of EDEN, prior to creation of the daily water level surfaces. The ARRA funding is being used in 2009-2010 to fund Phase 2 of this work. Additionally, the ARRA funding partially supports the CESU agreement with Florida Atlantic University and their work to improve the surface water interpolation program.
As described in the Section I above, USACE funding was provided to install and survey benchmarks through the Everglades, collect water level data at this network (during wet season 2009, dry season 2010, and wet season 2010), install continuous water level recorders at benchmarks in Everglades National Park, survey elevations to NAVD88 datum at 8 water level gages in Everglades National Park, and collect ground elevation data at 12 water level gages.
V. FY09 Deliverables/Reports
EDENweb (sofia.usgs.gov/eden) has been updated throughout the year to provide data, metadata, and documentation to MAP PIs and others.
For the 2009 System Status Report, EDEN provided hydroperiod maps and mean monthly water depth data to assist with hydrologic assessments of component areas of the Everglades and for understanding the total system hydrology:
Figures 2 through 6 show maps developed from EDEN daily surfaces of water level. The period of time in increments of a year show areas that have had water surfaces above land surface (based on the EDEN ground elevation model gridded to 400 meters by 400 meters) for the selected date based on data from 1/1/2000 through the selected date. Several observations are noted:
The WCAs were the wettest following wet season 2005 and driest following wet season 2007.
Everglades National Park was wettest following wet season 2006 and driest following wet season 2008.
Areas of southern and southeastern WCA3A that remain wet continuously are easily evident on the maps year after year.
Figure 2. Map showing hydroperiod for greater Everglades for November 1, 2004 based on EDEN daily water surfaces and EDEN ground elevation model. [larger version]Figure 3. Map showing hydroperiod for greater Everglades for November 1, 2005 based on EDEN daily water surfaces and EDEN ground elevation model. [larger version]Figure 4. Map showing hydroperiod for greater Everglades for November 1, 2006 based on EDEN daily water surfaces and EDEN ground elevation model. [larger version]Figure 5. Map showing hydroperiod for greater Everglades for November 1, 2007 based on EDEN daily water surfaces and EDEN ground elevation model. [larger version]Figure 6. Map showing hydroperiod for greater Everglades for November 1, 2008 based on EDEN daily water surfaces and EDEN ground elevation model. [larger version]
Figures 7 through 11 show plots of mean water depth for EDEN grid cells (400 meters by 400 meters) in subareas of the greater Everglades for water years 2004-05, 2005-06, 2006-07, 2007-08, and 2008-09 (partial year). These water depths are computed from EDEN daily water level surfaces and the EDEN ground elevation model. The mean monthly rainfall for subareas is also plotted. Several observations are noted:
The storage capacity of the system is quite evident. Initial water depths in the WCAs are relatively high in water year 2005-06, in part, due to the high rainfall and subsequent high water depths the previous year.
The longer, drier dry season in water year 2006-07 likely impacted the resulting lower mean depths in water year 2007-08.
The short dataset shows extreme ranges of water depth in WCA3N which appears highly linked to rainfall fluctuations.
Figure 7. Plots of mean water depth by month for subareas of the greater Everglades based on EDEN daily water surfaces and ground elevation model for water surfaces and ground elevation model for water year 2004-2005 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 8. Plots of mean water depth by month for subareas of the greater Everglades based on EDEN daily water surfaces and ground elevation model for water surfaces and ground elevation model for water year 2005-2006 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 9. Plots of mean water depth by month for subareas of the greater Everglades based on EDEN daily water surfaces and ground elevation model for water surfaces and ground elevation model for water year 2006-2007 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 10. Plots of mean water depth by month for subareas of the greater Everglades based on EDEN daily water surfaces and ground elevation model for water surfaces and ground elevation model for water year 2007-2008 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 11. Plots of mean water depth by month for subareas of the greater Everglades based on EDEN daily water surfaces and ground elevation model for water surfaces and ground elevation model for water year 2008-2009 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]
Figures 12 through 17 show plots of mean water depth by month for EDEN grid cells (400 meters by 400 meters) in subareas of Everglades National Park for water years 2004-05, 2005-06, 2006-07, 2007-08, and 2008-09 (partial year). These water depths are computed from EDEN daily water level surfaces and the EDEN ground elevation model. The mean monthly rainfall for subareas is also plotted. Several observations are noted:
Water depths in Everglades National Park were highest in water year 2005-06.
Water depths in Everglades National Park were lowest in water year 2007-08.
Relatively high water depths entering dry season 2008-09 (partial year plot) result, in part, from high rainfall amounts in the previous wet season.
The marl prairie system has the lowest mean water depths and large areas go dry in the dry season. The coastal oligohaline system has the highest mean water depths.
Figure 12. Landscape sampling units grouped by subareas of Everglades National Park. [larger version]Figure 13. Plots of mean water depth by month for subareas of Everglades National Park based on EDEN daily water surfaces and ground elevation model for water year 2004-2005 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 14. Plots of mean water depth by month for subareas of Everglades National Park based on EDEN daily water surfaces and ground elevation model for water year 2005-2006 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 15. Plots of mean water depth by month for subareas of Everglades National Park based on EDEN daily water surfaces and ground elevation model for water year 2006-2007 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 16. Plots of mean water depth by month for subareas of Everglades National Park based on EDEN daily water surfaces and ground elevation model for water year 2007-2008 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]Figure 17. Plots of mean water depth by month for subareas of Everglades National Park based on EDEN daily water surfaces and ground elevation model for water year 2008-2009 (May 1 – April 30). Mean monthly rainfall for subareas also plotted. [larger version]
VI. FY10 Workplan (in draft form at this time)
Data management and daily water surface creation
Create and post daily water surfaces on schedule
Continue to improve the data gap fill program
Use new datum surveys at gages to revise water level data
Add new gages if appropriate
Create rules for handling 'dry' data at gages and in EDEN surfaces
Complete revision of surface-water model
Use water level data at benchmarks to evaluate/improve EDEN surfaces
Make revisions to EDENapps (if staffing resources available)
Conduct hydrologic assessments for RECOVER
Continue to document EDEN protocols, research, and data analyses
VII. Unfunded Needs in FY09
With construction of the Tamiami Trail bridge approved for construction, the EDEN project would like to focus on the hydrology directly upstream and downstream of the new proposed bridge. EDEN can provide useful baseline data prior to and following completion of the bridge in 2012. EDEN project staff have already begun initial discussions with Leonard Pearlstine, Everglades National Park, regarding collaboration and data support.
VIII. Anticipated Needs or Issues
Because the water level data at gages is the foundation of the EDEN surface water interpolation program, the quality of gage data is critical to the resultant EDEN daily water surfaces. Gage data used for EDEN surfaces comes from multiple agencies with varying protocols, schedules, and levels of review. It is a highly ambitious goal to receive hourly data from 230 gages daily (approximately 5520 data values). Even if only 1% (rarely this low) of these data appear bad or are missing, 55 values per day or 5000 values per quarter must be identified and resolved. Monitoring, reviewing, editing (when necessary) and estimating missing and bad data has taken more personnel time than expected. Users see the results as EDEN products when, in fact, they are the result of many others' work outside of EDEN. It has been a serious challenge for me as the project chief to balance sufficient data quality with adequate results and appropriate use of funds.
EDEN staff continues to be concerned that datum surveys and water level data is not as accurate as necessary to produce a high-quality interpolated water-level surface. Independent data sets at gages may look adequate but when surfaced together can show discontinuities and shifts not seen when viewing water level data gage by gage. Continued investigation of data and files suggests that gage data may still have datum inaccuracies. New funding in 2010 may be available to run new datum surveys to the newest standards for many gages in the Everglades. Any significant changes to the water level dataset might require another round of reparameterizing of the surface water model.
IX. Funding Status
As of 9/30/08, all FY09 funding has been expended or obligated.
ARRA (economic stimulus) funding was received 6/29/09 and is in the process of being obligated for agreement in accordance with ARRA regulations. Funding will be expended by 9/30/10.
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March 06, 2025 06:58 PM (BJM)