Rainfall erosivity mapping for Santiago Island, Cape Verde
Erosivity, the potential of rainfall to detach soil particles, is a parameter used in several models to link rainfall and soil losses. Erosivity is usually calculated from high temporal resolution rainfall during a long period of time, and data is not always available. For Cape Verde, off the west c...
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description | Erosivity, the potential of rainfall to detach soil particles, is a parameter used in several models to link rainfall and soil losses. Erosivity is usually calculated from high temporal resolution rainfall during a long period of time, and data is not always available. For Cape Verde, off the west coast of Africa, where data is limited, researchers have calculated erosivity using 7year precipitation data at 15min time interval and using rainfall kinetic energy–intensity relationships developed for temperate areas. In this paper, using additional data collected with an optical disdrometer between 2008 and 2010 with a temporal resolution of 3min, storm erosivity (EI30) was re-evaluated using a new rainfall kinetic energy–intensity relationship developed for Cape Verde. A new equation for storm erosivity as a function of daily rainfall was developed. Annual erosivity R-factor resulting from adding EI30 values was correlated to annual precipitation and to the Modified Fournier Index, calculated from long term monthly data available in Cape Verde. Monthly and long term annual erosivity were mapped using the Modified Fournier Index, and the erosivity R-factor as a function of annual precipitation was mapped for a dry, a wet and an average year. Annual erosivity R-factor in Cape Verde can reach values above 1700Jmmm−2h−1. Given the strong relationship between rainfall and elevation, high erosivity in Santiago Island occurs on higher elevations, coinciding with steep slopes and shallow soils, which makes these areas susceptible to erosion.
•Daily erosivity EI30 was calculated with a new KE–I relationship.•EI30 was correlated to daily precipitation P24 with a power-law equation.•Erosivity was calculated with the Modified Fournier Index (MFI).•Erosivity R-factor was calculated and correlated to MFI and annual precipitation.•Highest erosivity occurs on top of the mountains, coinciding with shallow soils. |
doi_str_mv | 10.1016/j.geoderma.2013.10.026 |
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•Daily erosivity EI30 was calculated with a new KE–I relationship.•EI30 was correlated to daily precipitation P24 with a power-law equation.•Erosivity was calculated with the Modified Fournier Index (MFI).•Erosivity R-factor was calculated and correlated to MFI and annual precipitation.•Highest erosivity occurs on top of the mountains, coinciding with shallow soils.</description><identifier>ISSN: 0016-7061</identifier><identifier>EISSN: 1872-6259</identifier><identifier>DOI: 10.1016/j.geoderma.2013.10.026</identifier><identifier>CODEN: GEDMAB</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Agronomy. Soil science and plant productions ; Annual precipitation ; Biological and medical sciences ; Cape Verde ; Disdrometer ; Earth sciences ; Earth, ocean, space ; Elevation ; Exact sciences and technology ; Fournier index ; Fundamental and applied biological sciences. Psychology ; Kriging ; Mathematical models ; Rainfall ; Rainfall erosivity ; Soil (material) ; Soils ; Storms ; Surficial geology ; Temporal resolution</subject><ispartof>Geoderma, 2014-04, Vol.217-218, p.74-82</ispartof><rights>2013 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a479t-ec9aaf84c16833120557f7b55d038b1043a790ef0f5b3c0a4fed220bc64d8383</citedby><cites>FETCH-LOGICAL-a479t-ec9aaf84c16833120557f7b55d038b1043a790ef0f5b3c0a4fed220bc64d8383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.geoderma.2013.10.026$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28322348$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanchez-Moreno, Juan Francisco</creatorcontrib><creatorcontrib>Mannaerts, Chris M.</creatorcontrib><creatorcontrib>Jetten, Victor</creatorcontrib><title>Rainfall erosivity mapping for Santiago Island, Cape Verde</title><title>Geoderma</title><description>Erosivity, the potential of rainfall to detach soil particles, is a parameter used in several models to link rainfall and soil losses. Erosivity is usually calculated from high temporal resolution rainfall during a long period of time, and data is not always available. For Cape Verde, off the west coast of Africa, where data is limited, researchers have calculated erosivity using 7year precipitation data at 15min time interval and using rainfall kinetic energy–intensity relationships developed for temperate areas. In this paper, using additional data collected with an optical disdrometer between 2008 and 2010 with a temporal resolution of 3min, storm erosivity (EI30) was re-evaluated using a new rainfall kinetic energy–intensity relationship developed for Cape Verde. A new equation for storm erosivity as a function of daily rainfall was developed. Annual erosivity R-factor resulting from adding EI30 values was correlated to annual precipitation and to the Modified Fournier Index, calculated from long term monthly data available in Cape Verde. Monthly and long term annual erosivity were mapped using the Modified Fournier Index, and the erosivity R-factor as a function of annual precipitation was mapped for a dry, a wet and an average year. Annual erosivity R-factor in Cape Verde can reach values above 1700Jmmm−2h−1. Given the strong relationship between rainfall and elevation, high erosivity in Santiago Island occurs on higher elevations, coinciding with steep slopes and shallow soils, which makes these areas susceptible to erosion.
•Daily erosivity EI30 was calculated with a new KE–I relationship.•EI30 was correlated to daily precipitation P24 with a power-law equation.•Erosivity was calculated with the Modified Fournier Index (MFI).•Erosivity R-factor was calculated and correlated to MFI and annual precipitation.•Highest erosivity occurs on top of the mountains, coinciding with shallow soils.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Annual precipitation</subject><subject>Biological and medical sciences</subject><subject>Cape Verde</subject><subject>Disdrometer</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Elevation</subject><subject>Exact sciences and technology</subject><subject>Fournier index</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Kriging</subject><subject>Mathematical models</subject><subject>Rainfall</subject><subject>Rainfall erosivity</subject><subject>Soil (material)</subject><subject>Soils</subject><subject>Storms</subject><subject>Surficial geology</subject><subject>Temporal resolution</subject><issn>0016-7061</issn><issn>1872-6259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouK7-BelF8GDXSdImrSdl8QsEQcVrmE0nS5ZuW5Mq7L83y6pXT0OG552ZPIydcphx4OpyNVtS31BY40wAl6k5A6H22IRXWuRKlPU-m0Aicw2KH7KjGFfpqUHAhF29oO8ctm1GoY_-y4-bbI3D4Ltl5vqQvWI3elz22WNssWsusjkOlL1TaOiYHaRgpJOfOmVvd7dv84f86fn-cX7zlGOh6zEnWyO6qrBcVVJyAWWpnV6UZQOyWnAoJOoayIErF9ICFo4aIWBhVdFUspJTdr4bO4T-45PiaNY-WmrTOdR_RsNVISSA1PJ_tORKF7VK7JSpHWrTt2MgZ4bg1xg2hoPZajUr86vVbLVu-0lrCp797MBosXUBO-vjX1pUUghZbM--3nGU1Hx5CiZaT52lxgeyo2l6_9-qb6h8jyw</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Sanchez-Moreno, Juan Francisco</creator><creator>Mannaerts, Chris M.</creator><creator>Jetten, Victor</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20140401</creationdate><title>Rainfall erosivity mapping for Santiago Island, Cape Verde</title><author>Sanchez-Moreno, Juan Francisco ; Mannaerts, Chris M. ; Jetten, Victor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a479t-ec9aaf84c16833120557f7b55d038b1043a790ef0f5b3c0a4fed220bc64d8383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Annual precipitation</topic><topic>Biological and medical sciences</topic><topic>Cape Verde</topic><topic>Disdrometer</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Elevation</topic><topic>Exact sciences and technology</topic><topic>Fournier index</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Kriging</topic><topic>Mathematical models</topic><topic>Rainfall</topic><topic>Rainfall erosivity</topic><topic>Soil (material)</topic><topic>Soils</topic><topic>Storms</topic><topic>Surficial geology</topic><topic>Temporal resolution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanchez-Moreno, Juan Francisco</creatorcontrib><creatorcontrib>Mannaerts, Chris M.</creatorcontrib><creatorcontrib>Jetten, Victor</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Geoderma</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanchez-Moreno, Juan Francisco</au><au>Mannaerts, Chris M.</au><au>Jetten, Victor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rainfall erosivity mapping for Santiago Island, Cape Verde</atitle><jtitle>Geoderma</jtitle><date>2014-04-01</date><risdate>2014</risdate><volume>217-218</volume><spage>74</spage><epage>82</epage><pages>74-82</pages><issn>0016-7061</issn><eissn>1872-6259</eissn><coden>GEDMAB</coden><abstract>Erosivity, the potential of rainfall to detach soil particles, is a parameter used in several models to link rainfall and soil losses. Erosivity is usually calculated from high temporal resolution rainfall during a long period of time, and data is not always available. For Cape Verde, off the west coast of Africa, where data is limited, researchers have calculated erosivity using 7year precipitation data at 15min time interval and using rainfall kinetic energy–intensity relationships developed for temperate areas. In this paper, using additional data collected with an optical disdrometer between 2008 and 2010 with a temporal resolution of 3min, storm erosivity (EI30) was re-evaluated using a new rainfall kinetic energy–intensity relationship developed for Cape Verde. A new equation for storm erosivity as a function of daily rainfall was developed. Annual erosivity R-factor resulting from adding EI30 values was correlated to annual precipitation and to the Modified Fournier Index, calculated from long term monthly data available in Cape Verde. Monthly and long term annual erosivity were mapped using the Modified Fournier Index, and the erosivity R-factor as a function of annual precipitation was mapped for a dry, a wet and an average year. Annual erosivity R-factor in Cape Verde can reach values above 1700Jmmm−2h−1. Given the strong relationship between rainfall and elevation, high erosivity in Santiago Island occurs on higher elevations, coinciding with steep slopes and shallow soils, which makes these areas susceptible to erosion.
•Daily erosivity EI30 was calculated with a new KE–I relationship.•EI30 was correlated to daily precipitation P24 with a power-law equation.•Erosivity was calculated with the Modified Fournier Index (MFI).•Erosivity R-factor was calculated and correlated to MFI and annual precipitation.•Highest erosivity occurs on top of the mountains, coinciding with shallow soils.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.geoderma.2013.10.026</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agronomy. Soil science and plant productions Annual precipitation Biological and medical sciences Cape Verde Disdrometer Earth sciences Earth, ocean, space Elevation Exact sciences and technology Fournier index Fundamental and applied biological sciences. Psychology Kriging Mathematical models Rainfall Rainfall erosivity Soil (material) Soils Storms Surficial geology Temporal resolution |
title | Rainfall erosivity mapping for Santiago Island, Cape Verde |
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