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Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method
Author(s) -
Rafael HernándezGuzmán,
Arturo Ruíz-Luna,
Eduardo Mendoza
Publication year - 2020
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2020.087
Subject(s) - graphical user interface , surface runoff , raster graphics , computer science , antecedent moisture , watershed , modular design , runoff curve number , user interface , abstraction , data mining , hydrology (agriculture) , computer graphics (images) , geology , programming language , geotechnical engineering , ecology , philosophy , epistemology , machine learning , biology
This paper introduces a graphical user interface (GUI) for the R software that allows the rainfall-runoff relationship to be calculated, using the curve number method. This GUI is a raster-tool whose outputs are runoff estimates calculated using land use/land cover and hydrologic soil group maps. The package allows the user to select among three different antecedent moisture conditions and includes modifications about the initial abstraction parameter. We tested this GUI with data derived from two watersheds in Mexico and the outputs were compared with those produced using a well-established GIS tool in a vector environment. The results produced by these two approaches were practically the same. The main advantages of our package are: (1) ‘Sara4r’ is faster than previous vector based tools; (2) it is easy to use, even for people with no previous experience using R; (3) the modular design allows the integration of new routines; and (4) it is free and open source.

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