Temporal Geoprocessing for Hydroperiod Analysis
of the Kissimmee River
by Jennifer Kay Sorenson, M.S.E. and David R. Maidment, PhD
ABSTRACT
Considered the world's largest ecosystem restoration project, the Comprehensive Everglades Restoration Plan (CERP) seeks to restore the ecosystems of the Kissimmee River, Lake Okeechobee, and the Everglades while maintaining flood control; it is expected to cost $7.8 billion and take more than 30 years to complete in a joint state and federal effort. At the request of the South Florida Water Management District, the Center for Research in Water Resources (CRWR) used ArcGIS ModelBuilder to construct a series of models used to evaluate hydroperiod (depth and duration of inundation) in a small portion of the Kissimmee River . The study of values (such as water depth) as they change through space and time is described by an evolving concept of Temporal Geoprocessing. A mathematical framework was defined for calculating hydroperiod and was then translated into a collection of ModelBuilder models. It was determined that ModelBuilder is well-equipped to link existing ArcGIS geoprocessing tools together using visual programming but does not yet reliably support looping through time, thus restricting current implementation of a total solution for hydroperiod analysis. Comparison of measured and interpolated water depths produced using different interpolation methods and different land surface elevation grids suggests that depth prediction depends more on topographic quality than interpolation method utilized; therefore, accurate land surface elevation values are critical to predicting valid water depths. Output from hydroperiod models is used to graphically present the percent of the floodplain inundated, the duration of inundation, the percent of the floodplain in each user-defined depth and duration class, and more. The hydroperiod conceptual framework was developed to enable the state to evaluate ecological restoration and flood control effectiveness, but it is general enough to apply to other hydrologic analyses.
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