Monitoring for temporal changes in soil salinity using electromagnetic induction techniques
Electromagnetic induction surveys are often used in practice to estimate field-scale soil salinity patterns, and to inferchanging salinity conditions with time. We developed a statistical monitoring strategy that uses electromagnetic induction data and repetitive soil sampling to measure changing so...
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Veröffentlicht in: | Soil Science Society of America journal 1998-01, Vol.62 (1), p.232-242 |
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description | Electromagnetic induction surveys are often used in practice to estimate field-scale soil salinity patterns, and to inferchanging salinity conditions with time. We developed a statistical monitoring strategy that uses electromagnetic induction data and repetitive soil sampling to measure changing soil salinity conditions. This monitoring approach requires (i) the estimation of a conditional regre ssion model that is capable of predicting soil salinity from electromagnetic (EM ) survey data, and (ii) the acquisition of new soil samples at two or more previously established survey sites, so that formal tests can be made on the differences between the predicted and observed salinity levels. We examined two test statistics in detail: a test for detecting dynamic spatial variation in the new salinity pattern and a test for detecting a change in the field median salinity level with time. We applied this monitoring and testing strategy to two EM survey-s oil salinity data sets collected at multiple points in time from the saline irrigation district of Flumen, Spain. Our results demonstrate that this monitoring approach was successfully able to quantify the temporal changes in the soil salinity patterns occurring within these two fields |
doi_str_mv | 10.2136/sssaj1998.03615995006200010030x |
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(USDA, ARS, Riverside, CA.) ; Herrero, J ; Rhoades, J.D</creator><creatorcontrib>Lesch, S.M. (USDA, ARS, Riverside, CA.) ; Herrero, J ; Rhoades, J.D</creatorcontrib><description>Electromagnetic induction surveys are often used in practice to estimate field-scale soil salinity patterns, and to inferchanging salinity conditions with time. We developed a statistical monitoring strategy that uses electromagnetic induction data and repetitive soil sampling to measure changing soil salinity conditions. This monitoring approach requires (i) the estimation of a conditional regre ssion model that is capable of predicting soil salinity from electromagnetic (EM ) survey data, and (ii) the acquisition of new soil samples at two or more previously established survey sites, so that formal tests can be made on the differences between the predicted and observed salinity levels. We examined two test statistics in detail: a test for detecting dynamic spatial variation in the new salinity pattern and a test for detecting a change in the field median salinity level with time. We applied this monitoring and testing strategy to two EM survey-s oil salinity data sets collected at multiple points in time from the saline irrigation district of Flumen, Spain. Our results demonstrate that this monitoring approach was successfully able to quantify the temporal changes in the soil salinity patterns occurring within these two fields</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj1998.03615995006200010030x</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison, WI: Soil Science Society of America</publisher><subject>Agronomy. Soil science and plant productions ; Biological and medical sciences ; CAMPO ELECTROMAGNETICO ; CHAMP ELECTROMAGNETIQUE ; CONDUCTIVIDAD ELECTRICA ; CONDUCTIVITE ELECTRIQUE ; CONTROLE CONTINU ; Deficiencies. Phytotoxicity of elements. Salinity ; Earth sciences ; Earth, ocean, space ; ELECTRICAL CONDUCTIVITY ; ELECTROMAGNETIC FIELD ; Electromagnetism ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General agronomy. Plant production ; METHODE STATISTIQUE ; METODOS ESTADISTICOS ; MODELE ; MODELOS ; MONITORING ; PROPIEDADES FISICO-QUIMICAS SUELO ; PROPRIETE PHYSICOCHIMIQUE DU SOL ; REGRESSION ANALYSIS ; SALINIDAD DEL SUELO ; SALINITE DU SOL ; Salt ; SOIL CHEMICOPHYSICAL PROPERTIES ; SOIL SALINITY ; SOIL VARIABILITY ; Soil-plant relationships. Soil fertility. Fertilization. Amendments ; Soils ; SPATIAL VARIATION ; STATISTICAL METHODS ; Surficial geology ; TEMPORAL VARIATION ; VIGILANCIA</subject><ispartof>Soil Science Society of America journal, 1998-01, Vol.62 (1), p.232-242</ispartof><rights>1998 Soil Science Society of America</rights><rights>1998 INIST-CNRS</rights><rights>Copyright American Society of Agronomy Jan 1998</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a549X-f5cd74f0c78154488df2c13990e52633b32d1321387389eaa839cc9fe602f0bf3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.2136%2Fsssaj1998.03615995006200010030x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.2136%2Fsssaj1998.03615995006200010030x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2208727$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lesch, S.M. (USDA, ARS, Riverside, CA.)</creatorcontrib><creatorcontrib>Herrero, J</creatorcontrib><creatorcontrib>Rhoades, J.D</creatorcontrib><title>Monitoring for temporal changes in soil salinity using electromagnetic induction techniques</title><title>Soil Science Society of America journal</title><description>Electromagnetic induction surveys are often used in practice to estimate field-scale soil salinity patterns, and to inferchanging salinity conditions with time. We developed a statistical monitoring strategy that uses electromagnetic induction data and repetitive soil sampling to measure changing soil salinity conditions. This monitoring approach requires (i) the estimation of a conditional regre ssion model that is capable of predicting soil salinity from electromagnetic (EM ) survey data, and (ii) the acquisition of new soil samples at two or more previously established survey sites, so that formal tests can be made on the differences between the predicted and observed salinity levels. We examined two test statistics in detail: a test for detecting dynamic spatial variation in the new salinity pattern and a test for detecting a change in the field median salinity level with time. We applied this monitoring and testing strategy to two EM survey-s oil salinity data sets collected at multiple points in time from the saline irrigation district of Flumen, Spain. Our results demonstrate that this monitoring approach was successfully able to quantify the temporal changes in the soil salinity patterns occurring within these two fields</description><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>CAMPO ELECTROMAGNETICO</subject><subject>CHAMP ELECTROMAGNETIQUE</subject><subject>CONDUCTIVIDAD ELECTRICA</subject><subject>CONDUCTIVITE ELECTRIQUE</subject><subject>CONTROLE CONTINU</subject><subject>Deficiencies. Phytotoxicity of elements. Salinity</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>ELECTRICAL CONDUCTIVITY</subject><subject>ELECTROMAGNETIC FIELD</subject><subject>Electromagnetism</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>METHODE STATISTIQUE</subject><subject>METODOS ESTADISTICOS</subject><subject>MODELE</subject><subject>MODELOS</subject><subject>MONITORING</subject><subject>PROPIEDADES FISICO-QUIMICAS SUELO</subject><subject>PROPRIETE PHYSICOCHIMIQUE DU SOL</subject><subject>REGRESSION ANALYSIS</subject><subject>SALINIDAD DEL SUELO</subject><subject>SALINITE DU SOL</subject><subject>Salt</subject><subject>SOIL CHEMICOPHYSICAL PROPERTIES</subject><subject>SOIL SALINITY</subject><subject>SOIL VARIABILITY</subject><subject>Soil-plant relationships. Soil fertility. Fertilization. Amendments</subject><subject>Soils</subject><subject>SPATIAL VARIATION</subject><subject>STATISTICAL METHODS</subject><subject>Surficial geology</subject><subject>TEMPORAL VARIATION</subject><subject>VIGILANCIA</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqV0E1rVDEUBuAgFhxrf4JwEaGrW0--k5WUorZS6WJaKLgIaSaZZriTjMm96Px7c5nShXTjJmfz8L4nB6FTDGcEU_Gp1mo3WGt1BlRgrjUHEAQAMACFP6_QAjPKexACv0aL2fQzeoPe1rppimuABfr5I6c45hLTugu5dKPf7nKxQ-cebVr72sXU1RyHrtohNrnvpjpbP3g3lry16-TH6BpbTW6MObUE95jir8nXd-go2KH6k6d5jO6-frm9uOyvb75dXZxf95Yzfd8H7laSBXBSYc6YUqtAHKZag-dEUPpAyQrT9mclqdLeWkW1czp4ASTAQ6DH6PSQuyt57h3NNlbnh8Emn6dqJKNCMy1Ykx_-kZs8ldSWMwQL4FJi3tDnA3Il11p8MLsSt7bsDQYzn948n968ePqW8PGpxlZnh1BscrE-xxACShLZmDmw33Hw-_9tMcvz72S5bO9sXiL3reH9oSHYbOy6tCXulo1LUMApo38BCI2pmA</recordid><startdate>199801</startdate><enddate>199801</enddate><creator>Lesch, S.M. (USDA, ARS, Riverside, CA.)</creator><creator>Herrero, J</creator><creator>Rhoades, J.D</creator><general>Soil Science Society of America</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>KR7</scope></search><sort><creationdate>199801</creationdate><title>Monitoring for temporal changes in soil salinity using electromagnetic induction techniques</title><author>Lesch, S.M. (USDA, ARS, Riverside, CA.) ; Herrero, J ; Rhoades, J.D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a549X-f5cd74f0c78154488df2c13990e52633b32d1321387389eaa839cc9fe602f0bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>CAMPO ELECTROMAGNETICO</topic><topic>CHAMP ELECTROMAGNETIQUE</topic><topic>CONDUCTIVIDAD ELECTRICA</topic><topic>CONDUCTIVITE ELECTRIQUE</topic><topic>CONTROLE CONTINU</topic><topic>Deficiencies. Phytotoxicity of elements. Salinity</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>ELECTRICAL CONDUCTIVITY</topic><topic>ELECTROMAGNETIC FIELD</topic><topic>Electromagnetism</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agronomy. Plant production</topic><topic>METHODE STATISTIQUE</topic><topic>METODOS ESTADISTICOS</topic><topic>MODELE</topic><topic>MODELOS</topic><topic>MONITORING</topic><topic>PROPIEDADES FISICO-QUIMICAS SUELO</topic><topic>PROPRIETE PHYSICOCHIMIQUE DU SOL</topic><topic>REGRESSION ANALYSIS</topic><topic>SALINIDAD DEL SUELO</topic><topic>SALINITE DU SOL</topic><topic>Salt</topic><topic>SOIL CHEMICOPHYSICAL PROPERTIES</topic><topic>SOIL SALINITY</topic><topic>SOIL VARIABILITY</topic><topic>Soil-plant relationships. Soil fertility. Fertilization. Amendments</topic><topic>Soils</topic><topic>SPATIAL VARIATION</topic><topic>STATISTICAL METHODS</topic><topic>Surficial geology</topic><topic>TEMPORAL VARIATION</topic><topic>VIGILANCIA</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lesch, S.M. (USDA, ARS, Riverside, CA.)</creatorcontrib><creatorcontrib>Herrero, J</creatorcontrib><creatorcontrib>Rhoades, J.D</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Soil Science Society of America journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lesch, S.M. (USDA, ARS, Riverside, CA.)</au><au>Herrero, J</au><au>Rhoades, J.D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring for temporal changes in soil salinity using electromagnetic induction techniques</atitle><jtitle>Soil Science Society of America journal</jtitle><date>1998-01</date><risdate>1998</risdate><volume>62</volume><issue>1</issue><spage>232</spage><epage>242</epage><pages>232-242</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>Electromagnetic induction surveys are often used in practice to estimate field-scale soil salinity patterns, and to inferchanging salinity conditions with time. We developed a statistical monitoring strategy that uses electromagnetic induction data and repetitive soil sampling to measure changing soil salinity conditions. This monitoring approach requires (i) the estimation of a conditional regre ssion model that is capable of predicting soil salinity from electromagnetic (EM ) survey data, and (ii) the acquisition of new soil samples at two or more previously established survey sites, so that formal tests can be made on the differences between the predicted and observed salinity levels. We examined two test statistics in detail: a test for detecting dynamic spatial variation in the new salinity pattern and a test for detecting a change in the field median salinity level with time. We applied this monitoring and testing strategy to two EM survey-s oil salinity data sets collected at multiple points in time from the saline irrigation district of Flumen, Spain. Our results demonstrate that this monitoring approach was successfully able to quantify the temporal changes in the soil salinity patterns occurring within these two fields</abstract><cop>Madison, WI</cop><pub>Soil Science Society of America</pub><doi>10.2136/sssaj1998.03615995006200010030x</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agronomy. Soil science and plant productions Biological and medical sciences CAMPO ELECTROMAGNETICO CHAMP ELECTROMAGNETIQUE CONDUCTIVIDAD ELECTRICA CONDUCTIVITE ELECTRIQUE CONTROLE CONTINU Deficiencies. Phytotoxicity of elements. Salinity Earth sciences Earth, ocean, space ELECTRICAL CONDUCTIVITY ELECTROMAGNETIC FIELD Electromagnetism Exact sciences and technology Fundamental and applied biological sciences. Psychology General agronomy. Plant production METHODE STATISTIQUE METODOS ESTADISTICOS MODELE MODELOS MONITORING PROPIEDADES FISICO-QUIMICAS SUELO PROPRIETE PHYSICOCHIMIQUE DU SOL REGRESSION ANALYSIS SALINIDAD DEL SUELO SALINITE DU SOL Salt SOIL CHEMICOPHYSICAL PROPERTIES SOIL SALINITY SOIL VARIABILITY Soil-plant relationships. Soil fertility. Fertilization. Amendments Soils SPATIAL VARIATION STATISTICAL METHODS Surficial geology TEMPORAL VARIATION VIGILANCIA |
title | Monitoring for temporal changes in soil salinity using electromagnetic induction techniques |
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