A method for uncertainty constraint of catchment discharge and phosphorus load estimates
River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge ra...
Gespeichert in:
Veröffentlicht in: | Hydrological processes 2018-08, Vol.32 (17), p.2779-2787 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2787 |
---|---|
container_issue | 17 |
container_start_page | 2779 |
container_title | Hydrological processes |
container_volume | 32 |
creator | Hollaway, Michael J. Beven, Keith J. Benskin, Clare Mc W. H. Collins, Adrian L. Evans, Robert Falloon, Peter D. Forber, Kirsty J. Hiscock, Kevin M. Kahana, Ron Macleod, Christopher J. A. Ockenden, Mary C. Villamizar, Martha L. Wearing, Catherine Withers, Paul J. A. Zhou, Jian G. Barber, Nicholas J. Haygarth, Philip M. |
description | River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site. |
doi_str_mv | 10.1002/hyp.13217 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2089155711</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2089155711</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3327-9e0fc805cbc2456e13777abbd249d301412573b724a0268312a8c31bf76de5fb3</originalsourceid><addsrcrecordid>eNp1kEFLxDAQhYMouK4e_AcBTx66O0maJj0ui7rCgh4U9BTSNLVddpuatEj__WatVw_DzINv5g0PoVsCCwJAl_XYLQijRJyhGYE8TwhIfo5mICVPMpDiEl2FsAOAFCTM0McKH2xfuxJXzuOhNdb3umn7ERvXht6fZuwqbHRv6oONomyCqbX_sli3Je5qF2L5IeC90yW2oW8OurfhGl1Ueh_szV-fo_fHh7f1Jtm-PD2vV9vEMEZFkluojARuCkNTnlnChBC6KEqa5iUDkhLKBSsETTXQTDJCtTSMFJXISsurgs3R3XS38-57iPZq5wbfRktFQeaEc0FIpO4nyngXgreV6nz804-KgDoFp2Jw6je4yC4n9qfZ2_F_UG0-X6eNI8wMb7I</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2089155711</pqid></control><display><type>article</type><title>A method for uncertainty constraint of catchment discharge and phosphorus load estimates</title><source>Wiley Online Library - AutoHoldings Journals</source><creator>Hollaway, Michael J. ; Beven, Keith J. ; Benskin, Clare Mc W. H. ; Collins, Adrian L. ; Evans, Robert ; Falloon, Peter D. ; Forber, Kirsty J. ; Hiscock, Kevin M. ; Kahana, Ron ; Macleod, Christopher J. A. ; Ockenden, Mary C. ; Villamizar, Martha L. ; Wearing, Catherine ; Withers, Paul J. A. ; Zhou, Jian G. ; Barber, Nicholas J. ; Haygarth, Philip M.</creator><creatorcontrib>Hollaway, Michael J. ; Beven, Keith J. ; Benskin, Clare Mc W. H. ; Collins, Adrian L. ; Evans, Robert ; Falloon, Peter D. ; Forber, Kirsty J. ; Hiscock, Kevin M. ; Kahana, Ron ; Macleod, Christopher J. A. ; Ockenden, Mary C. ; Villamizar, Martha L. ; Wearing, Catherine ; Withers, Paul J. A. ; Zhou, Jian G. ; Barber, Nicholas J. ; Haygarth, Philip M.</creatorcontrib><description>River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.</description><identifier>ISSN: 0885-6087</identifier><identifier>EISSN: 1099-1085</identifier><identifier>DOI: 10.1002/hyp.13217</identifier><language>eng</language><publisher>Chichester: Wiley Subscription Services, Inc</publisher><subject>Catchment area ; Data processing ; discharge ; epistemic and aleatory uncertainty ; Methods ; Mineral nutrients ; Nutrient concentrations ; nutrient load ; Phosphorus ; Physical characteristics ; Physical properties ; Power law ; rating curve ; Regression analysis ; River discharge ; River flow ; Rivers ; Uncertainty ; Voting ; voting point ; Water balance ; Water discharge</subject><ispartof>Hydrological processes, 2018-08, Vol.32 (17), p.2779-2787</ispartof><rights>2018 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3327-9e0fc805cbc2456e13777abbd249d301412573b724a0268312a8c31bf76de5fb3</citedby><cites>FETCH-LOGICAL-c3327-9e0fc805cbc2456e13777abbd249d301412573b724a0268312a8c31bf76de5fb3</cites><orcidid>0000-0003-0386-2696</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhyp.13217$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhyp.13217$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,45579,45580</link.rule.ids></links><search><creatorcontrib>Hollaway, Michael J.</creatorcontrib><creatorcontrib>Beven, Keith J.</creatorcontrib><creatorcontrib>Benskin, Clare Mc W. H.</creatorcontrib><creatorcontrib>Collins, Adrian L.</creatorcontrib><creatorcontrib>Evans, Robert</creatorcontrib><creatorcontrib>Falloon, Peter D.</creatorcontrib><creatorcontrib>Forber, Kirsty J.</creatorcontrib><creatorcontrib>Hiscock, Kevin M.</creatorcontrib><creatorcontrib>Kahana, Ron</creatorcontrib><creatorcontrib>Macleod, Christopher J. A.</creatorcontrib><creatorcontrib>Ockenden, Mary C.</creatorcontrib><creatorcontrib>Villamizar, Martha L.</creatorcontrib><creatorcontrib>Wearing, Catherine</creatorcontrib><creatorcontrib>Withers, Paul J. A.</creatorcontrib><creatorcontrib>Zhou, Jian G.</creatorcontrib><creatorcontrib>Barber, Nicholas J.</creatorcontrib><creatorcontrib>Haygarth, Philip M.</creatorcontrib><title>A method for uncertainty constraint of catchment discharge and phosphorus load estimates</title><title>Hydrological processes</title><description>River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.</description><subject>Catchment area</subject><subject>Data processing</subject><subject>discharge</subject><subject>epistemic and aleatory uncertainty</subject><subject>Methods</subject><subject>Mineral nutrients</subject><subject>Nutrient concentrations</subject><subject>nutrient load</subject><subject>Phosphorus</subject><subject>Physical characteristics</subject><subject>Physical properties</subject><subject>Power law</subject><subject>rating curve</subject><subject>Regression analysis</subject><subject>River discharge</subject><subject>River flow</subject><subject>Rivers</subject><subject>Uncertainty</subject><subject>Voting</subject><subject>voting point</subject><subject>Water balance</subject><subject>Water discharge</subject><issn>0885-6087</issn><issn>1099-1085</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kEFLxDAQhYMouK4e_AcBTx66O0maJj0ui7rCgh4U9BTSNLVddpuatEj__WatVw_DzINv5g0PoVsCCwJAl_XYLQijRJyhGYE8TwhIfo5mICVPMpDiEl2FsAOAFCTM0McKH2xfuxJXzuOhNdb3umn7ERvXht6fZuwqbHRv6oONomyCqbX_sli3Je5qF2L5IeC90yW2oW8OurfhGl1Ueh_szV-fo_fHh7f1Jtm-PD2vV9vEMEZFkluojARuCkNTnlnChBC6KEqa5iUDkhLKBSsETTXQTDJCtTSMFJXISsurgs3R3XS38-57iPZq5wbfRktFQeaEc0FIpO4nyngXgreV6nz804-KgDoFp2Jw6je4yC4n9qfZ2_F_UG0-X6eNI8wMb7I</recordid><startdate>20180815</startdate><enddate>20180815</enddate><creator>Hollaway, Michael J.</creator><creator>Beven, Keith J.</creator><creator>Benskin, Clare Mc W. H.</creator><creator>Collins, Adrian L.</creator><creator>Evans, Robert</creator><creator>Falloon, Peter D.</creator><creator>Forber, Kirsty J.</creator><creator>Hiscock, Kevin M.</creator><creator>Kahana, Ron</creator><creator>Macleod, Christopher J. A.</creator><creator>Ockenden, Mary C.</creator><creator>Villamizar, Martha L.</creator><creator>Wearing, Catherine</creator><creator>Withers, Paul J. A.</creator><creator>Zhou, Jian G.</creator><creator>Barber, Nicholas J.</creator><creator>Haygarth, Philip M.</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-0386-2696</orcidid></search><sort><creationdate>20180815</creationdate><title>A method for uncertainty constraint of catchment discharge and phosphorus load estimates</title><author>Hollaway, Michael J. ; Beven, Keith J. ; Benskin, Clare Mc W. H. ; Collins, Adrian L. ; Evans, Robert ; Falloon, Peter D. ; Forber, Kirsty J. ; Hiscock, Kevin M. ; Kahana, Ron ; Macleod, Christopher J. A. ; Ockenden, Mary C. ; Villamizar, Martha L. ; Wearing, Catherine ; Withers, Paul J. A. ; Zhou, Jian G. ; Barber, Nicholas J. ; Haygarth, Philip M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3327-9e0fc805cbc2456e13777abbd249d301412573b724a0268312a8c31bf76de5fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Catchment area</topic><topic>Data processing</topic><topic>discharge</topic><topic>epistemic and aleatory uncertainty</topic><topic>Methods</topic><topic>Mineral nutrients</topic><topic>Nutrient concentrations</topic><topic>nutrient load</topic><topic>Phosphorus</topic><topic>Physical characteristics</topic><topic>Physical properties</topic><topic>Power law</topic><topic>rating curve</topic><topic>Regression analysis</topic><topic>River discharge</topic><topic>River flow</topic><topic>Rivers</topic><topic>Uncertainty</topic><topic>Voting</topic><topic>voting point</topic><topic>Water balance</topic><topic>Water discharge</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hollaway, Michael J.</creatorcontrib><creatorcontrib>Beven, Keith J.</creatorcontrib><creatorcontrib>Benskin, Clare Mc W. H.</creatorcontrib><creatorcontrib>Collins, Adrian L.</creatorcontrib><creatorcontrib>Evans, Robert</creatorcontrib><creatorcontrib>Falloon, Peter D.</creatorcontrib><creatorcontrib>Forber, Kirsty J.</creatorcontrib><creatorcontrib>Hiscock, Kevin M.</creatorcontrib><creatorcontrib>Kahana, Ron</creatorcontrib><creatorcontrib>Macleod, Christopher J. A.</creatorcontrib><creatorcontrib>Ockenden, Mary C.</creatorcontrib><creatorcontrib>Villamizar, Martha L.</creatorcontrib><creatorcontrib>Wearing, Catherine</creatorcontrib><creatorcontrib>Withers, Paul J. A.</creatorcontrib><creatorcontrib>Zhou, Jian G.</creatorcontrib><creatorcontrib>Barber, Nicholas J.</creatorcontrib><creatorcontrib>Haygarth, Philip M.</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Hydrological processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hollaway, Michael J.</au><au>Beven, Keith J.</au><au>Benskin, Clare Mc W. H.</au><au>Collins, Adrian L.</au><au>Evans, Robert</au><au>Falloon, Peter D.</au><au>Forber, Kirsty J.</au><au>Hiscock, Kevin M.</au><au>Kahana, Ron</au><au>Macleod, Christopher J. A.</au><au>Ockenden, Mary C.</au><au>Villamizar, Martha L.</au><au>Wearing, Catherine</au><au>Withers, Paul J. A.</au><au>Zhou, Jian G.</au><au>Barber, Nicholas J.</au><au>Haygarth, Philip M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A method for uncertainty constraint of catchment discharge and phosphorus load estimates</atitle><jtitle>Hydrological processes</jtitle><date>2018-08-15</date><risdate>2018</risdate><volume>32</volume><issue>17</issue><spage>2779</spage><epage>2787</epage><pages>2779-2787</pages><issn>0885-6087</issn><eissn>1099-1085</eissn><abstract>River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.</abstract><cop>Chichester</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/hyp.13217</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-0386-2696</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0885-6087 |
ispartof | Hydrological processes, 2018-08, Vol.32 (17), p.2779-2787 |
issn | 0885-6087 1099-1085 |
language | eng |
recordid | cdi_proquest_journals_2089155711 |
source | Wiley Online Library - AutoHoldings Journals |
subjects | Catchment area Data processing discharge epistemic and aleatory uncertainty Methods Mineral nutrients Nutrient concentrations nutrient load Phosphorus Physical characteristics Physical properties Power law rating curve Regression analysis River discharge River flow Rivers Uncertainty Voting voting point Water balance Water discharge |
title | A method for uncertainty constraint of catchment discharge and phosphorus load estimates |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T08%3A51%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20method%20for%20uncertainty%20constraint%20of%20catchment%20discharge%20and%20phosphorus%20load%20estimates&rft.jtitle=Hydrological%20processes&rft.au=Hollaway,%20Michael%20J.&rft.date=2018-08-15&rft.volume=32&rft.issue=17&rft.spage=2779&rft.epage=2787&rft.pages=2779-2787&rft.issn=0885-6087&rft.eissn=1099-1085&rft_id=info:doi/10.1002/hyp.13217&rft_dat=%3Cproquest_cross%3E2089155711%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2089155711&rft_id=info:pmid/&rfr_iscdi=true |