Abstract
 Spatial Interpolation of Rainfall Data Using ArcGIS: Comparative Study Track: Water Resources Author(s): Julie Earls, Barnali Dixon Many GIS models for environmental and watershed management decision-making require rainfall as an input, in discrete or continuous format. The objective of this study was to evaluate spatial interpolation techniques for interpreting 2km OneRain data into 30m resolution using ArcGIS Spatial Analyst. The 30m interpolated surfaces from OneRain were compared to 30m interpolated surfaces generated from rain gauge stations in and around the drainage basin. The interpolation methods used in this study were inverse distance weighting (variable & fixed), spline (regularized and tension) and kriging (Ordinary: spherical, circular, exponential, Gaussian, Linear, and Universal: linear with linear drift and linear with quadratic drift). The drainage basin studied was Charlie Creek, Central Florida, U.S.A., a basin largely untouched by urbanization but expected to undergo rapid change in the next 10 years. This expectation has driven residents and the local water management district to be proactive in planning the use of water resources. Julie Earls University of South Florida 140 7th Avenue South, PNM 103 St. Petersburg , FL 33701 US Phone: 727-873-4863 E-mail: jearls@mail.usf.edu Barnali Dixon University of South Florida St. Petersburg ESP&G 140 7th Ave. S., PNM 105 Tampa , FL 33701 US Phone: 727-873-4025 E-mail: bdixon@stpt.usf.edu |
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