Uncertainty in flow and water quality measurement data: A case study in the Daning River watershed in the Three Gorges Reservoir region, China
Measurement data are used to calibrate and validate the effect of models. In this study, four types of uncertainty categories covering flow measurement, sample collection, sample preservation/storage and laboratory analysis were quantified for flow, sediment and water quality measurement data under...
Gespeichert in:
| Veröffentlicht in: | Desalination and water treatment 2013-05, Vol.51 (19-21), p.3995-4001 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4001 |
|---|---|
| container_issue | 19-21 |
| container_start_page | 3995 |
| container_title | Desalination and water treatment |
| container_volume | 51 |
| creator | Shen, Zhenyao Huang, Qin Liao, Qian Chen, Lei Liu, Ruimin Xie, Hui |
| description | Measurement data are used to calibrate and validate the effect of models. In this study, four types of uncertainty categories covering flow measurement, sample collection, sample preservation/storage and laboratory analysis were quantified for flow, sediment and water quality measurement data under best-, typical- and worst-case scenarios. The root mean square error propagation method was used to calculate the overall uncertainty. A case study was conducted in the Daning River with the Soil and Water Assessment Tool. Based on the results, the probable error range values of flow were lower than those of sediment and nutrients, indicating greater uncertainty in the sediment and total phosphorus results. It is also indicated that the uncertainty was smaller when the model outputs had a normal distribution. This research provides scientific data of measurement uncertainty in China, which can assist modelers in evaluating model performance by quantifying the “quality” of the response data. |
| doi_str_mv | 10.1080/19443994.2013.781001 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1777999269</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1944398624187541</els_id><sourcerecordid>1777999269</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-e972faae708d9169b5384d0d8949b4df8030c4c7798d9f3e55e6b5e7d8f2ea793</originalsourceid><addsrcrecordid>eNqNkc1KJDEUhYthhBH1DVxkMzCL6TZ_VanMYkDa8QcEQXQdbie3ujNUpzRJdeNLzDObtlVmJWaTcM937r3kVNUxo1NGW3rCtJRCaznllImpahml7Eu1vy1PhG6br_-9v1VHKf2l5dRS1ZLvV__ug8WYwYf8RHwgXT9sCARHNpAxkscRel-UFUIaI64wZOIgwy9ySiwkJCmP7sWYl0jOIPiwILd-XawvDdIS3Zt6t4yI5GKIC0zkFhPG9eAjibjwQ_hJZksf4LDa66BPePR6H1T353_uZpeT65uLq9np9cRKyvMEteIdACraOs0aPa9FKx11rZZ6Ll3XUkGttErponcC6xqbeY3KtR1HUFocVD92fR_i8Dhiymblk8W-h4DDmAxTxas1bz6BSqZFU0BaULlDbRxSitiZh-hXEJ8Mo2YblnkLy2zDMruwiu376wRIFvouQrA-vXu5kg3nYrvJ7x2H5WfWHqNJ1mPJz_mINhs3-I8HPQOD46hH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1419366930</pqid></control><display><type>article</type><title>Uncertainty in flow and water quality measurement data: A case study in the Daning River watershed in the Three Gorges Reservoir region, China</title><source>Alma/SFX Local Collection</source><creator>Shen, Zhenyao ; Huang, Qin ; Liao, Qian ; Chen, Lei ; Liu, Ruimin ; Xie, Hui</creator><creatorcontrib>Shen, Zhenyao ; Huang, Qin ; Liao, Qian ; Chen, Lei ; Liu, Ruimin ; Xie, Hui</creatorcontrib><description>Measurement data are used to calibrate and validate the effect of models. In this study, four types of uncertainty categories covering flow measurement, sample collection, sample preservation/storage and laboratory analysis were quantified for flow, sediment and water quality measurement data under best-, typical- and worst-case scenarios. The root mean square error propagation method was used to calculate the overall uncertainty. A case study was conducted in the Daning River with the Soil and Water Assessment Tool. Based on the results, the probable error range values of flow were lower than those of sediment and nutrients, indicating greater uncertainty in the sediment and total phosphorus results. It is also indicated that the uncertainty was smaller when the model outputs had a normal distribution. This research provides scientific data of measurement uncertainty in China, which can assist modelers in evaluating model performance by quantifying the “quality” of the response data.</description><identifier>ISSN: 1944-3986</identifier><identifier>ISSN: 1944-3994</identifier><identifier>EISSN: 1944-3986</identifier><identifier>DOI: 10.1080/19443994.2013.781001</identifier><language>eng</language><publisher>L'Aquila: Elsevier Inc</publisher><subject>Applied sciences ; Assessments ; Categories ; China ; Daning River watershed ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Flow ; Freshwater ; Hydrology ; Hydrology. Hydrogeology ; Measurement data ; Pollution ; Rivers ; Sediments ; SWAT model ; Uncertainty ; Water quality ; Water treatment and pollution</subject><ispartof>Desalination and water treatment, 2013-05, Vol.51 (19-21), p.3995-4001</ispartof><rights>2013 Elsevier Inc.</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-e972faae708d9169b5384d0d8949b4df8030c4c7798d9f3e55e6b5e7d8f2ea793</citedby><cites>FETCH-LOGICAL-c402t-e972faae708d9169b5384d0d8949b4df8030c4c7798d9f3e55e6b5e7d8f2ea793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>310,311,315,782,786,791,792,23939,23940,25149,27933,27934</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27462239$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Zhenyao</creatorcontrib><creatorcontrib>Huang, Qin</creatorcontrib><creatorcontrib>Liao, Qian</creatorcontrib><creatorcontrib>Chen, Lei</creatorcontrib><creatorcontrib>Liu, Ruimin</creatorcontrib><creatorcontrib>Xie, Hui</creatorcontrib><title>Uncertainty in flow and water quality measurement data: A case study in the Daning River watershed in the Three Gorges Reservoir region, China</title><title>Desalination and water treatment</title><description>Measurement data are used to calibrate and validate the effect of models. In this study, four types of uncertainty categories covering flow measurement, sample collection, sample preservation/storage and laboratory analysis were quantified for flow, sediment and water quality measurement data under best-, typical- and worst-case scenarios. The root mean square error propagation method was used to calculate the overall uncertainty. A case study was conducted in the Daning River with the Soil and Water Assessment Tool. Based on the results, the probable error range values of flow were lower than those of sediment and nutrients, indicating greater uncertainty in the sediment and total phosphorus results. It is also indicated that the uncertainty was smaller when the model outputs had a normal distribution. This research provides scientific data of measurement uncertainty in China, which can assist modelers in evaluating model performance by quantifying the “quality” of the response data.</description><subject>Applied sciences</subject><subject>Assessments</subject><subject>Categories</subject><subject>China</subject><subject>Daning River watershed</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Flow</subject><subject>Freshwater</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>Measurement data</subject><subject>Pollution</subject><subject>Rivers</subject><subject>Sediments</subject><subject>SWAT model</subject><subject>Uncertainty</subject><subject>Water quality</subject><subject>Water treatment and pollution</subject><issn>1944-3986</issn><issn>1944-3994</issn><issn>1944-3986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkc1KJDEUhYthhBH1DVxkMzCL6TZ_VanMYkDa8QcEQXQdbie3ujNUpzRJdeNLzDObtlVmJWaTcM937r3kVNUxo1NGW3rCtJRCaznllImpahml7Eu1vy1PhG6br_-9v1VHKf2l5dRS1ZLvV__ug8WYwYf8RHwgXT9sCARHNpAxkscRel-UFUIaI64wZOIgwy9ySiwkJCmP7sWYl0jOIPiwILd-XawvDdIS3Zt6t4yI5GKIC0zkFhPG9eAjibjwQ_hJZksf4LDa66BPePR6H1T353_uZpeT65uLq9np9cRKyvMEteIdACraOs0aPa9FKx11rZZ6Ll3XUkGttErponcC6xqbeY3KtR1HUFocVD92fR_i8Dhiymblk8W-h4DDmAxTxas1bz6BSqZFU0BaULlDbRxSitiZh-hXEJ8Mo2YblnkLy2zDMruwiu376wRIFvouQrA-vXu5kg3nYrvJ7x2H5WfWHqNJ1mPJz_mINhs3-I8HPQOD46hH</recordid><startdate>20130501</startdate><enddate>20130501</enddate><creator>Shen, Zhenyao</creator><creator>Huang, Qin</creator><creator>Liao, Qian</creator><creator>Chen, Lei</creator><creator>Liu, Ruimin</creator><creator>Xie, Hui</creator><general>Elsevier Inc</general><general>Desalination Publications</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20130501</creationdate><title>Uncertainty in flow and water quality measurement data: A case study in the Daning River watershed in the Three Gorges Reservoir region, China</title><author>Shen, Zhenyao ; Huang, Qin ; Liao, Qian ; Chen, Lei ; Liu, Ruimin ; Xie, Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-e972faae708d9169b5384d0d8949b4df8030c4c7798d9f3e55e6b5e7d8f2ea793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Assessments</topic><topic>Categories</topic><topic>China</topic><topic>Daning River watershed</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Flow</topic><topic>Freshwater</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>Measurement data</topic><topic>Pollution</topic><topic>Rivers</topic><topic>Sediments</topic><topic>SWAT model</topic><topic>Uncertainty</topic><topic>Water quality</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Zhenyao</creatorcontrib><creatorcontrib>Huang, Qin</creatorcontrib><creatorcontrib>Liao, Qian</creatorcontrib><creatorcontrib>Chen, Lei</creatorcontrib><creatorcontrib>Liu, Ruimin</creatorcontrib><creatorcontrib>Xie, Hui</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Desalination and water treatment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Zhenyao</au><au>Huang, Qin</au><au>Liao, Qian</au><au>Chen, Lei</au><au>Liu, Ruimin</au><au>Xie, Hui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncertainty in flow and water quality measurement data: A case study in the Daning River watershed in the Three Gorges Reservoir region, China</atitle><jtitle>Desalination and water treatment</jtitle><date>2013-05-01</date><risdate>2013</risdate><volume>51</volume><issue>19-21</issue><spage>3995</spage><epage>4001</epage><pages>3995-4001</pages><issn>1944-3986</issn><issn>1944-3994</issn><eissn>1944-3986</eissn><abstract>Measurement data are used to calibrate and validate the effect of models. In this study, four types of uncertainty categories covering flow measurement, sample collection, sample preservation/storage and laboratory analysis were quantified for flow, sediment and water quality measurement data under best-, typical- and worst-case scenarios. The root mean square error propagation method was used to calculate the overall uncertainty. A case study was conducted in the Daning River with the Soil and Water Assessment Tool. Based on the results, the probable error range values of flow were lower than those of sediment and nutrients, indicating greater uncertainty in the sediment and total phosphorus results. It is also indicated that the uncertainty was smaller when the model outputs had a normal distribution. This research provides scientific data of measurement uncertainty in China, which can assist modelers in evaluating model performance by quantifying the “quality” of the response data.</abstract><cop>L'Aquila</cop><pub>Elsevier Inc</pub><doi>10.1080/19443994.2013.781001</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1944-3986 |
| ispartof | Desalination and water treatment, 2013-05, Vol.51 (19-21), p.3995-4001 |
| issn | 1944-3986 1944-3994 1944-3986 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1777999269 |
| source | Alma/SFX Local Collection |
| subjects | Applied sciences Assessments Categories China Daning River watershed Earth sciences Earth, ocean, space Exact sciences and technology Flow Freshwater Hydrology Hydrology. Hydrogeology Measurement data Pollution Rivers Sediments SWAT model Uncertainty Water quality Water treatment and pollution |
| title | Uncertainty in flow and water quality measurement data: A case study in the Daning River watershed in the Three Gorges Reservoir region, China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-02T21%3A49%3A50IST&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=Uncertainty%20in%20flow%20and%20water%20quality%20measurement%20data:%20A%20case%20study%20in%20the%20Daning%20River%20watershed%20in%20the%20Three%20Gorges%20Reservoir%20region,%20China&rft.jtitle=Desalination%20and%20water%20treatment&rft.au=Shen,%20Zhenyao&rft.date=2013-05-01&rft.volume=51&rft.issue=19-21&rft.spage=3995&rft.epage=4001&rft.pages=3995-4001&rft.issn=1944-3986&rft.eissn=1944-3986&rft_id=info:doi/10.1080/19443994.2013.781001&rft_dat=%3Cproquest_cross%3E1777999269%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=1419366930&rft_id=info:pmid/&rft_els_id=S1944398624187541&rfr_iscdi=true |