Breaking the Window of Detection: Using Multi‐Scale Solute Tracer Studies to Assess Mass Recovery at the Detection Limit.
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| Title: | Breaking the Window of Detection: Using Multi‐Scale Solute Tracer Studies to Assess Mass Recovery at the Detection Limit. |
|---|---|
| Authors: | Ward, Adam S.1,2 (AUTHOR) adam.ward@oregonstate.edu, Wondzell, Steven M.3 (AUTHOR), Gooseff, Michael N.4 (AUTHOR), Covino, Tim5 (AUTHOR), Herzog, Skuyler1,6 (AUTHOR), McGlynn, Brian7 (AUTHOR), Payn, Robert A.8 (AUTHOR) |
| Source: | Water Resources Research. Mar2023, Vol. 59 Issue 3, p1-16. 16p. |
| Subjects: | Detection limit, Experimental design, Empirical research |
| Abstract: | Stream solute tracers are commonly injected to assess transport and transformation in study reaches, but results are biased toward the shortest and fastest storage locations. While this bias has been understood for decades, the impact of an experimental constraint on our understanding has yet to be considered. Here, we ask how different our understanding of reach‐ and segment‐scale transport would be if our empirical limits were extended. We demonstrate a novel approach to manipulate experimental conditions and observe mass that is stored at timescales beyond the traditional reach‐scale window of detection. We are able to explain the fate of an average of 26% of solute tracer mass that would have been considered as "lost" in a traditional study design across our 14 replicates, extending our detection limits to characterize flowpaths that would have been previously unmeasured. We demonstrate how this formerly lost mass leads to predicting lower magnitudes of gross gains and losses in individual reaches, and ultimately show that the network turnover we infer from solute tracers represents an upper limit on actual, expected behavior. Finally, we review the evolution of tracer studies and their interpretation including this approach and provide a proposed future direction to extend empirical studies to not‐before‐seen timescales. Key Points: With careful design, solute tracer studies can be used to assess the fate of solute mass along flowpaths that would not normally be detectedExtended mass recovery allows us to understand the formerly unknown fate of more than 26% of all lost tracer massAccounting for mass recovery beyond the typical window of detection reduced inferred channel water turnover, changing interpreted spatial sources of gains [ABSTRACT FROM AUTHOR] |
| Copyright of Water Resources Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 162730276 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Breaking the Window of Detection: Using Multi‐Scale Solute Tracer Studies to Assess Mass Recovery at the Detection Limit. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ward%2C+Adam+S%2E%22">Ward, Adam S.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> adam.ward@oregonstate.edu</i><br /><searchLink fieldCode="AR" term="%22Wondzell%2C+Steven+M%2E%22">Wondzell, Steven M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gooseff%2C+Michael+N%2E%22">Gooseff, Michael N.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Covino%2C+Tim%22">Covino, Tim</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Herzog%2C+Skuyler%22">Herzog, Skuyler</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McGlynn%2C+Brian%22">McGlynn, Brian</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Payn%2C+Robert+A%2E%22">Payn, Robert A.</searchLink><relatesTo>8</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Water+Resources+Research%22">Water Resources Research</searchLink>. Mar2023, Vol. 59 Issue 3, p1-16. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Detection+limit%22">Detection limit</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Stream solute tracers are commonly injected to assess transport and transformation in study reaches, but results are biased toward the shortest and fastest storage locations. While this bias has been understood for decades, the impact of an experimental constraint on our understanding has yet to be considered. Here, we ask how different our understanding of reach‐ and segment‐scale transport would be if our empirical limits were extended. We demonstrate a novel approach to manipulate experimental conditions and observe mass that is stored at timescales beyond the traditional reach‐scale window of detection. We are able to explain the fate of an average of 26% of solute tracer mass that would have been considered as "lost" in a traditional study design across our 14 replicates, extending our detection limits to characterize flowpaths that would have been previously unmeasured. We demonstrate how this formerly lost mass leads to predicting lower magnitudes of gross gains and losses in individual reaches, and ultimately show that the network turnover we infer from solute tracers represents an upper limit on actual, expected behavior. Finally, we review the evolution of tracer studies and their interpretation including this approach and provide a proposed future direction to extend empirical studies to not‐before‐seen timescales. Key Points: With careful design, solute tracer studies can be used to assess the fate of solute mass along flowpaths that would not normally be detectedExtended mass recovery allows us to understand the formerly unknown fate of more than 26% of all lost tracer massAccounting for mass recovery beyond the typical window of detection reduced inferred channel water turnover, changing interpreted spatial sources of gains [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Water Resources Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1029/2022WR032736 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Subjects: – SubjectFull: Detection limit Type: general – SubjectFull: Experimental design Type: general – SubjectFull: Empirical research Type: general Titles: – TitleFull: Breaking the Window of Detection: Using Multi‐Scale Solute Tracer Studies to Assess Mass Recovery at the Detection Limit. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ward, Adam S. – PersonEntity: Name: NameFull: Wondzell, Steven M. – PersonEntity: Name: NameFull: Gooseff, Michael N. – PersonEntity: Name: NameFull: Covino, Tim – PersonEntity: Name: NameFull: Herzog, Skuyler – PersonEntity: Name: NameFull: McGlynn, Brian – PersonEntity: Name: NameFull: Payn, Robert A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00431397 Numbering: – Type: volume Value: 59 – Type: issue Value: 3 Titles: – TitleFull: Water Resources Research Type: main |
| ResultId | 1 |
