A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions
Identifieur interne : 000603 ( Istex/Corpus ); précédent : 000602; suivant : 000604A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions
Auteurs : Angel Utset ; Matilde BorrotoSource :
- Agricultural Water Management [ 0378-3774 ] ; 2001.
English descriptors
- KwdEn :
Abstract
Soil salinisation is very often due to excessive irrigation. However, irrigation is absolutely essential for obtaining reliable crop yields, particularly under predicted global warming conditions. A simple methodology for assessing the salinisation risk for any water management situation and under predicted global warming conditions is presented. The methodology is illustrated by the assessment of irrigation effects on soil salinity at San Antonio del Sur Valley, in the southeast of Cuba. Irrigation from a new dam will support agriculture in the Valley, but at the same time soil salinity is expected to increase. Soil electrical conductivity at several depths and topographical altitudes were used to create raster layers in a Geographic Information System (GIS), thus, determining the border of the saline-affected zones by a GIS analysis. Water-table depth at the border of the saline zones was assumed to be 2m. The physically based SWAP model was used to predict future water-table depths after irrigation begins and under global warming conditions. Future temperature and precipitation daily values were calculated from a linear increase/decrease of the daily values corresponding to a typical year, according to a global-change forecast for the zone. Soil hydraulic properties were estimated from pedotransfer function and published soil data. Simulated results predict a fast water-table raise of 1m, due to the increase of irrigation water. Borders of the new saline zones under these conditions (i.e. the places where the water-table is at a 2m depth) were calculated using a digital terrain model, assuming that the water-table rose 1m over the whole valley. According to the simulation results, the original saline zones of the valley will be enlarged from 31.4 to 96.8ha 15 years after the scheduled start of irrigation. The methodology could be used by farmers and decision-makers to select the most suitable water management solution considering both economical and environmental criteria.
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DOI: 10.1016/S0378-3774(01)00090-7
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Tel.: +53-64-63013; fax: +53-72-40942</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: utsets@yahoo.com</mods:affiliation></affiliation></author><author><name sortKey="Borroto, Matilde" sort="Borroto, Matilde" uniqKey="Borroto M" first="Matilde" last="Borroto">Matilde Borroto</name><affiliation><mods:affiliation>Institute of Soils, Finca “Las Margaritas”, Capdevila, Havana, Cuba</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:E896F74BB07C09AB532E2A0B337ED62D3F324EF9</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1016/S0378-3774(01)00090-7</idno><idno type="url">https://api.istex.fr/document/E896F74BB07C09AB532E2A0B337ED62D3F324EF9/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000603</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000603</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</title><author><name sortKey="Utset, Angel" sort="Utset, Angel" uniqKey="Utset A" first="Angel" last="Utset">Angel Utset</name><affiliation><mods:affiliation>Agricultural University of Havana, Agrophysics Research Unit (GIAF), Apdo. Postal 18, San José de las Lajas, Havana 32700, Cuba</mods:affiliation></affiliation><affiliation><mods:affiliation>Corresponding author. Tel.: +53-64-63013; fax: +53-72-40942</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: utsets@yahoo.com</mods:affiliation></affiliation></author><author><name sortKey="Borroto, Matilde" sort="Borroto, Matilde" uniqKey="Borroto M" first="Matilde" last="Borroto">Matilde Borroto</name><affiliation><mods:affiliation>Institute of Soils, Finca “Las Margaritas”, Capdevila, Havana, Cuba</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Agricultural Water Management</title><title level="j" type="abbrev">AGWAT</title><idno type="ISSN">0378-3774</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001">2001</date><biblScope unit="volume">50</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="53">53</biblScope><biblScope unit="page" to="63">63</biblScope></imprint><idno type="ISSN">0378-3774</idno></series><idno type="istex">E896F74BB07C09AB532E2A0B337ED62D3F324EF9</idno><idno type="DOI">10.1016/S0378-3774(01)00090-7</idno><idno type="PII">S0378-3774(01)00090-7</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0378-3774</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Geographic Information System</term><term>Global warming</term><term>Hydrological modeling</term><term>Soil electrical conductivity</term><term>Soil salinity</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Soil salinisation is very often due to excessive irrigation. However, irrigation is absolutely essential for obtaining reliable crop yields, particularly under predicted global warming conditions. A simple methodology for assessing the salinisation risk for any water management situation and under predicted global warming conditions is presented. The methodology is illustrated by the assessment of irrigation effects on soil salinity at San Antonio del Sur Valley, in the southeast of Cuba. Irrigation from a new dam will support agriculture in the Valley, but at the same time soil salinity is expected to increase. Soil electrical conductivity at several depths and topographical altitudes were used to create raster layers in a Geographic Information System (GIS), thus, determining the border of the saline-affected zones by a GIS analysis. Water-table depth at the border of the saline zones was assumed to be 2m. The physically based SWAP model was used to predict future water-table depths after irrigation begins and under global warming conditions. Future temperature and precipitation daily values were calculated from a linear increase/decrease of the daily values corresponding to a typical year, according to a global-change forecast for the zone. Soil hydraulic properties were estimated from pedotransfer function and published soil data. Simulated results predict a fast water-table raise of 1m, due to the increase of irrigation water. Borders of the new saline zones under these conditions (i.e. the places where the water-table is at a 2m depth) were calculated using a digital terrain model, assuming that the water-table rose 1m over the whole valley. According to the simulation results, the original saline zones of the valley will be enlarged from 31.4 to 96.8ha 15 years after the scheduled start of irrigation. The methodology could be used by farmers and decision-makers to select the most suitable water management solution considering both economical and environmental criteria.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Angel Utset</name><affiliations><json:string>Agricultural University of Havana, Agrophysics Research Unit (GIAF), Apdo. Postal 18, San José de las Lajas, Havana 32700, Cuba</json:string><json:string>Corresponding author. Tel.: +53-64-63013; fax: +53-72-40942</json:string><json:string>E-mail: utsets@yahoo.com</json:string></affiliations></json:item><json:item><name>Matilde Borroto</name><affiliations><json:string>Institute of Soils, Finca “Las Margaritas”, Capdevila, Havana, Cuba</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Soil salinity</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Hydrological modeling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Soil electrical conductivity</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Geographic Information System</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Global warming</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>Soil salinisation is very often due to excessive irrigation. However, irrigation is absolutely essential for obtaining reliable crop yields, particularly under predicted global warming conditions. A simple methodology for assessing the salinisation risk for any water management situation and under predicted global warming conditions is presented. The methodology is illustrated by the assessment of irrigation effects on soil salinity at San Antonio del Sur Valley, in the southeast of Cuba. Irrigation from a new dam will support agriculture in the Valley, but at the same time soil salinity is expected to increase. Soil electrical conductivity at several depths and topographical altitudes were used to create raster layers in a Geographic Information System (GIS), thus, determining the border of the saline-affected zones by a GIS analysis. Water-table depth at the border of the saline zones was assumed to be 2m. The physically based SWAP model was used to predict future water-table depths after irrigation begins and under global warming conditions. Future temperature and precipitation daily values were calculated from a linear increase/decrease of the daily values corresponding to a typical year, according to a global-change forecast for the zone. Soil hydraulic properties were estimated from pedotransfer function and published soil data. Simulated results predict a fast water-table raise of 1m, due to the increase of irrigation water. Borders of the new saline zones under these conditions (i.e. the places where the water-table is at a 2m depth) were calculated using a digital terrain model, assuming that the water-table rose 1m over the whole valley. According to the simulation results, the original saline zones of the valley will be enlarged from 31.4 to 96.8ha 15 years after the scheduled start of irrigation. The methodology could be used by farmers and decision-makers to select the most suitable water management solution considering both economical and environmental criteria.</abstract><qualityIndicators><score>6.556</score><pdfVersion>1.2</pdfVersion><pdfPageSize>468 x 681 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>5</keywordCount><abstractCharCount>2010</abstractCharCount><pdfWordCount>3556</pdfWordCount><pdfCharCount>20922</pdfCharCount><pdfPageCount>11</pdfPageCount><abstractWordCount>303</abstractWordCount></qualityIndicators><title>A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</title><pii><json:string>S0378-3774(01)00090-7</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>50</volume><pii><json:string>S0378-3774(00)X0064-9</json:string></pii><pages><last>63</last><first>53</first></pages><issn><json:string>0378-3774</json:string></issn><issue>1</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Agricultural Water Management</title><publicationDate>2001</publicationDate></host><publicationDate>2001</publicationDate><copyrightDate>2001</copyrightDate><doi><json:string>10.1016/S0378-3774(01)00090-7</json:string></doi><id>E896F74BB07C09AB532E2A0B337ED62D3F324EF9</id><score>0.048961665</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/E896F74BB07C09AB532E2A0B337ED62D3F324EF9/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/E896F74BB07C09AB532E2A0B337ED62D3F324EF9/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/E896F74BB07C09AB532E2A0B337ED62D3F324EF9/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2001 Elsevier Science B.V.</p></availability><date>2001</date></publicationStmt><notesStmt><note type="content">Fig. 1: Salinity map of the agricultural areas of San Antonio del Sur Valley superimposed over the digital terrain model (DTM).</note><note type="content">Fig. 2: Meteorological variables generated from the global change climate scenario. (A) Yearly averaged mean daily temperature for the simulated period. (B) Daily precipitation values for the first and the last simulated years.</note><note type="content">Fig. 3: Electrical conductivity values at 0–20cm depth meeting the condition that surface EC is higher than deeper EC values.</note><note type="content">Fig. 4: Simulation results. (A) Simulated yearly potential evapotranspiration. (B) Yearly averaged ratio between simulated actual and potential evapotranspiration. (C) Simulated water-table depths.</note><note type="content">Fig. 5: Saline areas in the agricultural zones of San Antonio del Sur valley. (A) Actual saline zones (year 2000). (B) Predicted saline zones (year 2015).</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</title><author xml:id="author-1"><persName><forename type="first">Angel</forename><surname>Utset</surname></persName><email>utsets@yahoo.com</email><affiliation>Agricultural University of Havana, Agrophysics Research Unit (GIAF), Apdo. Postal 18, San José de las Lajas, Havana 32700, Cuba</affiliation><affiliation>Corresponding author. Tel.: +53-64-63013; fax: +53-72-40942</affiliation></author><author xml:id="author-2"><persName><forename type="first">Matilde</forename><surname>Borroto</surname></persName><affiliation>Institute of Soils, Finca “Las Margaritas”, Capdevila, Havana, Cuba</affiliation></author></analytic><monogr><title level="j">Agricultural Water Management</title><title level="j" type="abbrev">AGWAT</title><idno type="pISSN">0378-3774</idno><idno type="PII">S0378-3774(00)X0064-9</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001"></date><biblScope unit="volume">50</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="53">53</biblScope><biblScope unit="page" to="63">63</biblScope></imprint></monogr><idno type="istex">E896F74BB07C09AB532E2A0B337ED62D3F324EF9</idno><idno type="DOI">10.1016/S0378-3774(01)00090-7</idno><idno type="PII">S0378-3774(01)00090-7</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Soil salinisation is very often due to excessive irrigation. However, irrigation is absolutely essential for obtaining reliable crop yields, particularly under predicted global warming conditions. A simple methodology for assessing the salinisation risk for any water management situation and under predicted global warming conditions is presented. The methodology is illustrated by the assessment of irrigation effects on soil salinity at San Antonio del Sur Valley, in the southeast of Cuba. Irrigation from a new dam will support agriculture in the Valley, but at the same time soil salinity is expected to increase. Soil electrical conductivity at several depths and topographical altitudes were used to create raster layers in a Geographic Information System (GIS), thus, determining the border of the saline-affected zones by a GIS analysis. Water-table depth at the border of the saline zones was assumed to be 2m. The physically based SWAP model was used to predict future water-table depths after irrigation begins and under global warming conditions. Future temperature and precipitation daily values were calculated from a linear increase/decrease of the daily values corresponding to a typical year, according to a global-change forecast for the zone. Soil hydraulic properties were estimated from pedotransfer function and published soil data. Simulated results predict a fast water-table raise of 1m, due to the increase of irrigation water. Borders of the new saline zones under these conditions (i.e. the places where the water-table is at a 2m depth) were calculated using a digital terrain model, assuming that the water-table rose 1m over the whole valley. According to the simulation results, the original saline zones of the valley will be enlarged from 31.4 to 96.8ha 15 years after the scheduled start of irrigation. The methodology could be used by farmers and decision-makers to select the most suitable water management solution considering both economical and environmental criteria.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Soil salinity</term></item><item><term>Hydrological modeling</term></item><item><term>Soil electrical conductivity</term></item><item><term>Geographic Information System</term></item><item><term>Global warming</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2001">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/E896F74BB07C09AB532E2A0B337ED62D3F324EF9/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>AGWAT</jid><aid>1638</aid><ce:pii>S0378-3774(01)00090-7</ce:pii><ce:doi>10.1016/S0378-3774(01)00090-7</ce:doi><ce:copyright type="full-transfer" year="2001">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</ce:title><ce:author-group><ce:author><ce:given-name>Angel</ce:given-name><ce:surname>Utset</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>utsets@yahoo.com</ce:e-address><ce:e-address>utset@isch.edu.cu</ce:e-address></ce:author><ce:author><ce:given-name>Matilde</ce:given-name><ce:surname>Borroto</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Agricultural University of Havana, Agrophysics Research Unit (GIAF), Apdo. Postal 18, San José de las Lajas, Havana 32700, Cuba</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Institute of Soils, Finca “Las Margaritas”, Capdevila, Havana, Cuba</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +53-64-63013; fax: +53-72-40942</ce:text></ce:correspondence></ce:author-group><ce:date-accepted day="14" month="12" year="2000"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>Soil salinisation is very often due to excessive irrigation. However, irrigation is absolutely essential for obtaining reliable crop yields, particularly under predicted global warming conditions. A simple methodology for assessing the salinisation risk for any water management situation and under predicted global warming conditions is presented. The methodology is illustrated by the assessment of irrigation effects on soil salinity at San Antonio del Sur Valley, in the southeast of Cuba. Irrigation from a new dam will support agriculture in the Valley, but at the same time soil salinity is expected to increase. Soil electrical conductivity at several depths and topographical altitudes were used to create raster layers in a Geographic Information System (GIS), thus, determining the border of the saline-affected zones by a GIS analysis. Water-table depth at the border of the saline zones was assumed to be 2<ce:hsp sp="0.25"></ce:hsp>m. The physically based SWAP model was used to predict future water-table depths after irrigation begins and under global warming conditions. Future temperature and precipitation daily values were calculated from a linear increase/decrease of the daily values corresponding to a typical year, according to a global-change forecast for the zone. Soil hydraulic properties were estimated from pedotransfer function and published soil data. Simulated results predict a fast water-table raise of 1<ce:hsp sp="0.25"></ce:hsp>m, due to the increase of irrigation water. Borders of the new saline zones under these conditions (i.e. the places where the water-table is at a 2<ce:hsp sp="0.25"></ce:hsp>m depth) were calculated using a digital terrain model, assuming that the water-table rose 1<ce:hsp sp="0.25"></ce:hsp>m over the whole valley. According to the simulation results, the original saline zones of the valley will be enlarged from 31.4 to 96.8<ce:hsp sp="0.25"></ce:hsp>ha 15 years after the scheduled start of irrigation. The methodology could be used by farmers and decision-makers to select the most suitable water management solution considering both economical and environmental criteria.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword" xml:lang="en"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Soil salinity</ce:text></ce:keyword><ce:keyword><ce:text>Hydrological modeling</ce:text></ce:keyword><ce:keyword><ce:text>Soil electrical conductivity</ce:text></ce:keyword><ce:keyword><ce:text>Geographic Information System</ce:text></ce:keyword><ce:keyword><ce:text>Global warming</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>A modeling-GIS approach for assessing irrigation effects on soil salinisation under global warming conditions</title></titleInfo><name type="personal"><namePart type="given">Angel</namePart><namePart type="family">Utset</namePart><affiliation>Agricultural University of Havana, Agrophysics Research Unit (GIAF), Apdo. Postal 18, San José de las Lajas, Havana 32700, Cuba</affiliation><affiliation>Corresponding author. Tel.: +53-64-63013; fax: +53-72-40942</affiliation><affiliation>E-mail: utsets@yahoo.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Matilde</namePart><namePart type="family">Borroto</namePart><affiliation>Institute of Soils, Finca “Las Margaritas”, Capdevila, Havana, Cuba</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2001</dateIssued><copyrightDate encoding="w3cdtf">2001</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Soil salinisation is very often due to excessive irrigation. However, irrigation is absolutely essential for obtaining reliable crop yields, particularly under predicted global warming conditions. A simple methodology for assessing the salinisation risk for any water management situation and under predicted global warming conditions is presented. The methodology is illustrated by the assessment of irrigation effects on soil salinity at San Antonio del Sur Valley, in the southeast of Cuba. Irrigation from a new dam will support agriculture in the Valley, but at the same time soil salinity is expected to increase. Soil electrical conductivity at several depths and topographical altitudes were used to create raster layers in a Geographic Information System (GIS), thus, determining the border of the saline-affected zones by a GIS analysis. Water-table depth at the border of the saline zones was assumed to be 2m. The physically based SWAP model was used to predict future water-table depths after irrigation begins and under global warming conditions. Future temperature and precipitation daily values were calculated from a linear increase/decrease of the daily values corresponding to a typical year, according to a global-change forecast for the zone. Soil hydraulic properties were estimated from pedotransfer function and published soil data. Simulated results predict a fast water-table raise of 1m, due to the increase of irrigation water. Borders of the new saline zones under these conditions (i.e. the places where the water-table is at a 2m depth) were calculated using a digital terrain model, assuming that the water-table rose 1m over the whole valley. According to the simulation results, the original saline zones of the valley will be enlarged from 31.4 to 96.8ha 15 years after the scheduled start of irrigation. The methodology could be used by farmers and decision-makers to select the most suitable water management solution considering both economical and environmental criteria.</abstract><note type="content">Fig. 1: Salinity map of the agricultural areas of San Antonio del Sur Valley superimposed over the digital terrain model (DTM).</note><note type="content">Fig. 2: Meteorological variables generated from the global change climate scenario. (A) Yearly averaged mean daily temperature for the simulated period. (B) Daily precipitation values for the first and the last simulated years.</note><note type="content">Fig. 3: Electrical conductivity values at 0–20cm depth meeting the condition that surface EC is higher than deeper EC values.</note><note type="content">Fig. 4: Simulation results. (A) Simulated yearly potential evapotranspiration. (B) Yearly averaged ratio between simulated actual and potential evapotranspiration. (C) Simulated water-table depths.</note><note type="content">Fig. 5: Saline areas in the agricultural zones of San Antonio del Sur valley. (A) Actual saline zones (year 2000). (B) Predicted saline zones (year 2015).</note><subject lang="en"><genre>Keywords</genre><topic>Soil salinity</topic><topic>Hydrological modeling</topic><topic>Soil electrical conductivity</topic><topic>Geographic Information System</topic><topic>Global warming</topic></subject><relatedItem type="host"><titleInfo><title>Agricultural Water Management</title></titleInfo><titleInfo type="abbreviated"><title>AGWAT</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">20010824</dateIssued></originInfo><identifier type="ISSN">0378-3774</identifier><identifier type="PII">S0378-3774(00)X0064-9</identifier><part><date>20010824</date><detail type="volume"><number>50</number><caption>vol.</caption></detail><detail type="issue"><number>1</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>82</end></extent><extent unit="pages"><start>53</start><end>63</end></extent></part></relatedItem><identifier type="istex">E896F74BB07C09AB532E2A0B337ED62D3F324EF9</identifier><identifier type="DOI">10.1016/S0378-3774(01)00090-7</identifier><identifier type="PII">S0378-3774(01)00090-7</identifier><accessCondition type="use and reproduction" contentType="copyright">©2001 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2001</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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