{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825896157007360.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1190/1.2907156"}},{"identifier":{"@type":"URI","@value":"https://pubs.geoscienceworld.org/seg/geophysics/article-pdf/73/3/G7/3211717/gsgpy_73_3_G7.pdf"}}],"dc:title":[{"@value":"Application of time-lapse ERT imaging to watershed characterization"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title>\n                  <jats:p>Time-lapse electrical resistivity tomography (ERT) has many practical applications to the study of subsurface properties and processes. When inverting time-lapse ERT data, it is useful to proceed beyond straightforward inversion of data differences and take advantage of the time-lapse nature of the data. We assess various approaches for inverting and interpreting time-lapse ERT data and determine that two approaches work well. The first approach is model subtraction after separate inversion of the data from two time periods, and the second approach is to use the inverted model from a base data set as the reference model or prior information for subsequent time periods. We prefer this second approach. Data inversion methodology should be consideredwhen designing data acquisition; i.e., to utilize the second approach, it is important to collect one or more data sets for which the bulk of the subsurface is in a background or relatively unperturbed state. A third and commonly used approach to time-lapse inversion, inverting the difference between two data sets, localizes the regions of the model in which change has occurred; however, varying noise levels between the two data sets can be problematic. To further assess the various time-lapse inversion approaches, we acquired field data from a catchment within the Dry Creek Experimental Watershed near Boise, Idaho, U.S.A. We combined the complimentary information from individual static ERT inversions, time-lapse ERT images, and available hydrologic data in a robust interpretation scheme to aid in quantifying seasonal variations in subsurface moisture content.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382825896157007362","@type":"Researcher","foaf:name":[{"@value":"Carlyle R. Miller"}],"jpcoar:affiliationName":[{"@value":"1Formerly Boise State University, Department of Geosciences, Boise, Idaho, U.S.A.; presently MSE Technology Applications Inc., Earth Sciences, Butte, Montana, U.S.A. E-mail: carl.miller@mse-ta.com."}]},{"@id":"https://cir.nii.ac.jp/crid/1382825896157007363","@type":"Researcher","foaf:name":[{"@value":"Partha S. Routh"}],"jpcoar:affiliationName":[{"@value":"2Formerly Boise State University, Department of Geosciences, Boise, Idaho, U.S.A.; presently Subsurface Technology, ConocoPhillips, Houston, Texas, U.S.A. E-mail: partha.s.routh@conocophillips.com."}]},{"@id":"https://cir.nii.ac.jp/crid/1382825896157007361","@type":"Researcher","foaf:name":[{"@value":"Troy R. Brosten"}],"jpcoar:affiliationName":[{"@value":"3Boise State University, Department of Geosciences, Boise, Idaho, U.S.A. E-mail: troybrosten@mail.boisestate.edu; jmcnamar@boisestate.edu."}]},{"@id":"https://cir.nii.ac.jp/crid/1382825896157007360","@type":"Researcher","foaf:name":[{"@value":"James P. McNamara"}],"jpcoar:affiliationName":[{"@value":"3Boise State University, Department of Geosciences, Boise, Idaho, U.S.A. E-mail: troybrosten@mail.boisestate.edu; jmcnamar@boisestate.edu."}]}],"publication":{"publicationIdentifier":[{"@type":"EISSN","@value":"19422156"},{"@type":"PISSN","@value":"00168033"}],"prism:publicationName":[{"@value":"Geophysics"}],"dc:publisher":[{"@value":"Society of Exploration Geophysicists"}],"prism:publicationDate":"2008-01-01","prism:volume":"73","prism:number":"3","prism:startingPage":"G7","prism:endingPage":"G17"},"reviewed":"false","url":[{"@id":"https://pubs.geoscienceworld.org/seg/geophysics/article-pdf/73/3/G7/3211717/gsgpy_73_3_G7.pdf"}],"createdAt":"2008-05-08","modifiedAt":"2025-12-11","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360004238404398592","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Spatial and Temporal Monitoring of Water Content in Weathered Granitic Bedrock Using Electrical Resistivity Imaging"}]},{"@id":"https://cir.nii.ac.jp/crid/1390290548652894976","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Geological survey of the Seino area in Nobi Plain by drone airborne electromagnetic survey method"},{"@language":"ja","@value":"ドローン空中電磁探査法による濃尾平野西濃地域の地質構造調査"},{"@language":"ja-Kana","@value":"ドローン クウチュウ デンジ タンサホウ ニ ヨル ノウビ ヘイヤ セイノウ チイキ ノ チシツ コウゾウ チョウサ"}]},{"@id":"https://cir.nii.ac.jp/crid/1390291767608858496","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Time-lapse electrical resistivity tomography for assessment of seasonal moisture variations in a tropical regolith"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1190/1.2907156"},{"@type":"CROSSREF","@value":"10.2136/vzj2011.0029_references_DOI_aTz9hCrQnpt5FSD8mb8je3woH7j"},{"@type":"CROSSREF","@value":"10.3178/hrl.16.18_references_DOI_aTz9hCrQnpt5FSD8mb8je3woH7j"},{"@type":"CROSSREF","@value":"10.3124/segj.74.142_references_DOI_aTz9hCrQnpt5FSD8mb8je3woH7j"}]}