Hydrologic Web-Mapping Application of Hofmann Forest with GIS Approach: Case Study
Publication: Journal of Hydrologic Engineering
Volume 22, Issue 5
Abstract
In this study, a hydrologic web-mapping application for North Carolina State University’s Hofmann Forest is developed using geospatial information science (GIS) resources, measured point precipitation, and radar precipitation data obtained from the National Weather Service (NWS). The development of such a web application will enhance the visualization and manipulation techniques for hydrologic modeling. This paper’s main focus is on the various steps involved in the development of the web-mapping application and the hydrologic analysis. The two different interpolation methods, one a deterministic method, inverse distance weighting (IDW), and another, a probabilistic method, Kriging, are used to obtain NWS precipitation estimates at 14 forest rain gauge locations. The eventual goal of this project is to use the rain gauge data from the Hofmann Forest to calibrate the spatial pattern of daily radar estimates for use in research and forest operations; however, the accuracy of radar estimates has yet to reach that stage of capability.
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Published In
Journal of Hydrologic Engineering
Volume 22 • Issue 5 • May 2017
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Jan 23, 2015
Accepted: Jun 26, 2015
Published online: Sep 17, 2015
Discussion open until: Feb 17, 2016
Published in print: May 1, 2017
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