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Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method
Abstract 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...
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Published in: | Journal of hydroinformatics 2021-01, Vol.23 (1), p.76-87 |
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container_issue | 1 |
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container_title | Journal of hydroinformatics |
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creator | Hernández-Guzmán, Rafael Ruiz-Luna, Arturo Mendoza, Eduardo |
description | Abstract
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. |
doi_str_mv | 10.2166/hydro.2020.087 |
format | article |
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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.</description><identifier>ISSN: 1464-7141</identifier><identifier>EISSN: 1465-1734</identifier><identifier>DOI: 10.2166/hydro.2020.087</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Antecedent moisture ; Freeware ; Geographical information systems ; Graphical user interface ; Handbooks ; Hydrology ; Land cover ; Land use ; Mathematical analysis ; Modular design ; Moisture effects ; Parameter modification ; Rainfall-runoff relationships ; Runoff ; Software ; Spatial analysis ; Surface runoff ; User interface ; Watershed management ; Watersheds</subject><ispartof>Journal of hydroinformatics, 2021-01, Vol.23 (1), p.76-87</ispartof><rights>Copyright IWA Publishing Jan 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c307t-ecd18dcf0937cc198f1b231133a31bbe5cdd05466ad27664b4ffb21720709c233</citedby><cites>FETCH-LOGICAL-c307t-ecd18dcf0937cc198f1b231133a31bbe5cdd05466ad27664b4ffb21720709c233</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,870,27957,27958</link.rule.ids></links><search><creatorcontrib>Hernández-Guzmán, Rafael</creatorcontrib><creatorcontrib>Ruiz-Luna, Arturo</creatorcontrib><creatorcontrib>Mendoza, Eduardo</creatorcontrib><title>Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method</title><title>Journal of hydroinformatics</title><description>Abstract
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.</description><subject>Antecedent moisture</subject><subject>Freeware</subject><subject>Geographical information systems</subject><subject>Graphical user interface</subject><subject>Handbooks</subject><subject>Hydrology</subject><subject>Land cover</subject><subject>Land use</subject><subject>Mathematical analysis</subject><subject>Modular design</subject><subject>Moisture effects</subject><subject>Parameter modification</subject><subject>Rainfall-runoff relationships</subject><subject>Runoff</subject><subject>Software</subject><subject>Spatial analysis</subject><subject>Surface runoff</subject><subject>User interface</subject><subject>Watershed management</subject><subject>Watersheds</subject><issn>1464-7141</issn><issn>1465-1734</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNotkLFOwzAQhi0EEqWwMp_EAkOCz3bjlA1VUCpVILV0thzHblq1SbATUJl4B96QJyGlLHc3fPpP_0fIJdKYYZLcFrvcVzGjjMY0lUekhyIZRCi5OP67RSRR4Ck5C2FNKUOeYo98zrXXwt-BLmEGS6_rYmX0BtpgPazKxnqnjYXr8WJyA00FNjSrrW4sfHTDh8LmENoD49uycg50XW92q3IJTWHheTaaw8_XN5jWv1so223W5W5tU1T5OTlxehPsxf_uk8Xjw-voKZq-jCej-2lkOJVNZE2OaW4cHXJpDA5ThxnjiJxrjllmBybP6UAkic6ZTBKRCecyhpJRSYeGcd4nV4fc2ldvbVdAravWl91LxaSUIk0F0o6KD5TxVQjeOlX7rqnfKaRq71f9-VV7v6rzy38BQP9vvg</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Hernández-Guzmán, Rafael</creator><creator>Ruiz-Luna, Arturo</creator><creator>Mendoza, Eduardo</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20210101</creationdate><title>Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method</title><author>Hernández-Guzmán, Rafael ; Ruiz-Luna, Arturo ; Mendoza, Eduardo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-ecd18dcf0937cc198f1b231133a31bbe5cdd05466ad27664b4ffb21720709c233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Antecedent moisture</topic><topic>Freeware</topic><topic>Geographical information systems</topic><topic>Graphical user interface</topic><topic>Handbooks</topic><topic>Hydrology</topic><topic>Land cover</topic><topic>Land use</topic><topic>Mathematical analysis</topic><topic>Modular design</topic><topic>Moisture effects</topic><topic>Parameter modification</topic><topic>Rainfall-runoff relationships</topic><topic>Runoff</topic><topic>Software</topic><topic>Spatial analysis</topic><topic>Surface runoff</topic><topic>User interface</topic><topic>Watershed management</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hernández-Guzmán, Rafael</creatorcontrib><creatorcontrib>Ruiz-Luna, Arturo</creatorcontrib><creatorcontrib>Mendoza, Eduardo</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Journal of hydroinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hernández-Guzmán, Rafael</au><au>Ruiz-Luna, Arturo</au><au>Mendoza, Eduardo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method</atitle><jtitle>Journal of hydroinformatics</jtitle><date>2021-01-01</date><risdate>2021</risdate><volume>23</volume><issue>1</issue><spage>76</spage><epage>87</epage><pages>76-87</pages><issn>1464-7141</issn><eissn>1465-1734</eissn><abstract>Abstract
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.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/hydro.2020.087</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | DOAJ Directory of Open Access Journals; Alma/SFX Local Collection |
subjects | Antecedent moisture Freeware Geographical information systems Graphical user interface Handbooks Hydrology Land cover Land use Mathematical analysis Modular design Moisture effects Parameter modification Rainfall-runoff relationships Runoff Software Spatial analysis Surface runoff User interface Watershed management Watersheds |
title | Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method |
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