Methods to Predict Seasonal High Water Tables

The research study was sectioned into 5 separate tasks. Task 1 included defining the seasonal high ground water table (SHGWT); describing methods and techniques used to determine SHGWTs; identify problems associated with estimating SHGWT conditions; summarizing results from interviewing state agencies and engineering consultants for determining how SHGWTs are determined; and, providing a preliminary data set for developing a technical procedure manual for applying various SHGWT predictive methods. Task 2 characterized pilot test site locations by describing procedures for establishing ten (10) physical and four (4) hypothetical tests sites using future road construction corridor projects. The procedures section described multiple sets of methods in order to evaluate method consistencies between test site methods, topographical, and hydrogeological conditions. Task 3 was divided into three tasks- Task 3A, 3B, and 3C. Task 3A provided a summary of field and analytical methods used to evaluate baseline SHGWT conditions during setup of both physical and hypothetical test sites. A preliminary evaluation of methods used to predict SHGWT conditions at each test site was included. Task 3B involved collection of water level data from test well and surface water locations along with hydrologic station data to evaluate various equation methods for estimating SHGWT conditions. Task 3B covered a two year long term monitoring program involving the collection of water level data and applying model equations to both ground water and surface water observation sites, and nearby hydrologic stations for evaluating SHGWT predictive methods. Quarterly status reports were prepared summarizing field collected data and equation evaluation methods. Task 3C addressed the issue of applying the Natural Resource Conservation Service (NRCS) water table ranges for specified soil types throughout the seven (7) Florida Department of Transportation (FDOT) districts by compiling ground water and rainfall data from available water management district records. The data was evaluated for statistical probabilities for applying NRCS water table ranges for predicting ground water levels by direct comparison with actual ground water level data. Task 4. Report of Recommendations summarized the most successful methods for predicting seasonal high ground water elevations through application of both qualitative and quantitative methods for each FDOT District based on data collected over the three year study. Task 5. The Draft and Final Report summarized the research study tasks as described above.

• Record URL:
  https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/research/reports/fdot-bdx86-rpt.pdf
• Record URL:
  https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/research/reports/fdot-bdx86-sum.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/32190
• Supplemental Notes:
  • Cover title: Methods to Predict Seasonal High Water Table (SHGWT). Cover date: April 3, 2017.
• Corporate Authors:

  Florida Department of Transportation

  Research Center
  605 Suwannee Street MS-30
  Tallahassee, FL  United States  32399-0450
• Authors:
  • Szary, William
• Publication Date: 2017-3-1

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Task 5. Final Report
• Features: Appendices; Figures; Maps; References; Tables;
• Pagination: 156p

Subject/Index Terms

• TRT Terms: Data collection; Forecasting; Groundwater; Methodology; Pilot studies; Recommendations; Seasons; Statistical analysis; Water table
• Geographic Terms: Florida
• Subject Areas: Geotechnology; Highways; Hydraulics and Hydrology; Planning and Forecasting;

Filing Info

• Accession Number: 01634790
• Record Type: Publication
• Report/Paper Numbers: Report No. 11, 973-360
• Contract Numbers: BDX86
• Files: NTL, TRIS, ATRI, STATEDOT
• Created Date: May 16 2017 9:30AM