Derivation and validation of a novel Semi Empirical Deposition Estimation Model (SEDEM)
Predictive models are necessary in order to minimize potential damages in the event of a nuclear or radiological release. For this reason, a novel model for the calculation of both wet and dry deposition from airborne radioactivity is proposed. Full derivation of the model and the estimation of unce...
Gespeichert in:
Veröffentlicht in: | Journal of environmental radioactivity 2016-12, Vol.165, p.206-218 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 218 |
---|---|
container_issue | |
container_start_page | 206 |
container_title | Journal of environmental radioactivity |
container_volume | 165 |
creator | Koivurova, Matias Leppänen, Ari-Pekka |
description | Predictive models are necessary in order to minimize potential damages in the event of a nuclear or radiological release. For this reason, a novel model for the calculation of both wet and dry deposition from airborne radioactivity is proposed. Full derivation of the model and the estimation of uncertainty are presented, and the validity of the model is evaluated by calculating deposition based on several measured airborne activities in different countries. The results are compared with the corresponding measured deposition activities and the predictive power of the model is found to be good, i.e. calculated depositions being within the limits of measurement uncertainty. Additionally, limitations of the model and possible sources of error in the calculations are discussed.
•Novel Semi Empirical Deposition Estimation Model based on probabilistic approach.•Takes into account both dry and wet deposition.•Dry deposition is found to be very susceptible to changes in the particle distribution.•Wet deposition is found to increase to the power of 0.315 of precipitation intensity, instead of increasing linearly. |
doi_str_mv | 10.1016/j.jenvrad.2016.10.008 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835531989</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0265931X16304830</els_id><sourcerecordid>1835531989</sourcerecordid><originalsourceid>FETCH-LOGICAL-c313t-cd25609b131a4dcd13838f38b57c377a6bb0862891daa74d239c6ed5104a35ef3</originalsourceid><addsrcrecordid>eNqFkMtOwzAQRS0EgvL4BFCWsEix4ya2VwjR8JCoWBQEO8uxJ5KrJC52Gom_xyWFLavRXJ2ZsQ9C5wRPCSbF9Wq6gm7wykyz2MZsijHfQxPCmUgJw3gfTXBW5Kmg5OMIHYewwjjmPDtERxljDBdCTND7HLwdVG9dl6jOJINqrBlbVycq6dwATbKE1iZlu7beatUkc1i7YH-gMvS2HfmFMxG9XJbzcnF1ig5q1QQ429UT9HZfvt49ps8vD093t8-ppoT2qTZZXmBREUrUzGhDKKe8przKmaaMqaKqMC8yLohRis1MRoUuwOQEzxTNoaYn6HLcu_bucwOhl60NGppGdeA2QRJO85wSwUVE8xHV3oXgoZZrH9_uvyTBcutUruTOqdw63cbRaZy72J3YVC2Yv6lfiRG4GQGIHx0seBm0hU6DsR50L42z_5z4BvCxicY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1835531989</pqid></control><display><type>article</type><title>Derivation and validation of a novel Semi Empirical Deposition Estimation Model (SEDEM)</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Koivurova, Matias ; Leppänen, Ari-Pekka</creator><creatorcontrib>Koivurova, Matias ; Leppänen, Ari-Pekka</creatorcontrib><description>Predictive models are necessary in order to minimize potential damages in the event of a nuclear or radiological release. For this reason, a novel model for the calculation of both wet and dry deposition from airborne radioactivity is proposed. Full derivation of the model and the estimation of uncertainty are presented, and the validity of the model is evaluated by calculating deposition based on several measured airborne activities in different countries. The results are compared with the corresponding measured deposition activities and the predictive power of the model is found to be good, i.e. calculated depositions being within the limits of measurement uncertainty. Additionally, limitations of the model and possible sources of error in the calculations are discussed.
•Novel Semi Empirical Deposition Estimation Model based on probabilistic approach.•Takes into account both dry and wet deposition.•Dry deposition is found to be very susceptible to changes in the particle distribution.•Wet deposition is found to increase to the power of 0.315 of precipitation intensity, instead of increasing linearly.</description><identifier>ISSN: 0265-931X</identifier><identifier>EISSN: 1879-1700</identifier><identifier>DOI: 10.1016/j.jenvrad.2016.10.008</identifier><identifier>PMID: 27770699</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>131I ; 134Cs ; 137Cs ; Aerosol ; Deposition model ; Fallout ; Models, Chemical ; Models, Statistical ; Radioactive Hazard Release - statistics & numerical data ; Risk Assessment - methods ; SEDEM ; Sedimentation</subject><ispartof>Journal of environmental radioactivity, 2016-12, Vol.165, p.206-218</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c313t-cd25609b131a4dcd13838f38b57c377a6bb0862891daa74d239c6ed5104a35ef3</cites><orcidid>0000-0001-6100-6316</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0265931X16304830$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27770699$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koivurova, Matias</creatorcontrib><creatorcontrib>Leppänen, Ari-Pekka</creatorcontrib><title>Derivation and validation of a novel Semi Empirical Deposition Estimation Model (SEDEM)</title><title>Journal of environmental radioactivity</title><addtitle>J Environ Radioact</addtitle><description>Predictive models are necessary in order to minimize potential damages in the event of a nuclear or radiological release. For this reason, a novel model for the calculation of both wet and dry deposition from airborne radioactivity is proposed. Full derivation of the model and the estimation of uncertainty are presented, and the validity of the model is evaluated by calculating deposition based on several measured airborne activities in different countries. The results are compared with the corresponding measured deposition activities and the predictive power of the model is found to be good, i.e. calculated depositions being within the limits of measurement uncertainty. Additionally, limitations of the model and possible sources of error in the calculations are discussed.
•Novel Semi Empirical Deposition Estimation Model based on probabilistic approach.•Takes into account both dry and wet deposition.•Dry deposition is found to be very susceptible to changes in the particle distribution.•Wet deposition is found to increase to the power of 0.315 of precipitation intensity, instead of increasing linearly.</description><subject>131I</subject><subject>134Cs</subject><subject>137Cs</subject><subject>Aerosol</subject><subject>Deposition model</subject><subject>Fallout</subject><subject>Models, Chemical</subject><subject>Models, Statistical</subject><subject>Radioactive Hazard Release - statistics & numerical data</subject><subject>Risk Assessment - methods</subject><subject>SEDEM</subject><subject>Sedimentation</subject><issn>0265-931X</issn><issn>1879-1700</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMtOwzAQRS0EgvL4BFCWsEix4ya2VwjR8JCoWBQEO8uxJ5KrJC52Gom_xyWFLavRXJ2ZsQ9C5wRPCSbF9Wq6gm7wykyz2MZsijHfQxPCmUgJw3gfTXBW5Kmg5OMIHYewwjjmPDtERxljDBdCTND7HLwdVG9dl6jOJINqrBlbVycq6dwATbKE1iZlu7beatUkc1i7YH-gMvS2HfmFMxG9XJbzcnF1ig5q1QQ429UT9HZfvt49ps8vD093t8-ppoT2qTZZXmBREUrUzGhDKKe8przKmaaMqaKqMC8yLohRis1MRoUuwOQEzxTNoaYn6HLcu_bucwOhl60NGppGdeA2QRJO85wSwUVE8xHV3oXgoZZrH9_uvyTBcutUruTOqdw63cbRaZy72J3YVC2Yv6lfiRG4GQGIHx0seBm0hU6DsR50L42z_5z4BvCxicY</recordid><startdate>201612</startdate><enddate>201612</enddate><creator>Koivurova, Matias</creator><creator>Leppänen, Ari-Pekka</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6100-6316</orcidid></search><sort><creationdate>201612</creationdate><title>Derivation and validation of a novel Semi Empirical Deposition Estimation Model (SEDEM)</title><author>Koivurova, Matias ; Leppänen, Ari-Pekka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-cd25609b131a4dcd13838f38b57c377a6bb0862891daa74d239c6ed5104a35ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>131I</topic><topic>134Cs</topic><topic>137Cs</topic><topic>Aerosol</topic><topic>Deposition model</topic><topic>Fallout</topic><topic>Models, Chemical</topic><topic>Models, Statistical</topic><topic>Radioactive Hazard Release - statistics & numerical data</topic><topic>Risk Assessment - methods</topic><topic>SEDEM</topic><topic>Sedimentation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koivurova, Matias</creatorcontrib><creatorcontrib>Leppänen, Ari-Pekka</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental radioactivity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koivurova, Matias</au><au>Leppänen, Ari-Pekka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Derivation and validation of a novel Semi Empirical Deposition Estimation Model (SEDEM)</atitle><jtitle>Journal of environmental radioactivity</jtitle><addtitle>J Environ Radioact</addtitle><date>2016-12</date><risdate>2016</risdate><volume>165</volume><spage>206</spage><epage>218</epage><pages>206-218</pages><issn>0265-931X</issn><eissn>1879-1700</eissn><abstract>Predictive models are necessary in order to minimize potential damages in the event of a nuclear or radiological release. For this reason, a novel model for the calculation of both wet and dry deposition from airborne radioactivity is proposed. Full derivation of the model and the estimation of uncertainty are presented, and the validity of the model is evaluated by calculating deposition based on several measured airborne activities in different countries. The results are compared with the corresponding measured deposition activities and the predictive power of the model is found to be good, i.e. calculated depositions being within the limits of measurement uncertainty. Additionally, limitations of the model and possible sources of error in the calculations are discussed.
•Novel Semi Empirical Deposition Estimation Model based on probabilistic approach.•Takes into account both dry and wet deposition.•Dry deposition is found to be very susceptible to changes in the particle distribution.•Wet deposition is found to increase to the power of 0.315 of precipitation intensity, instead of increasing linearly.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>27770699</pmid><doi>10.1016/j.jenvrad.2016.10.008</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6100-6316</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0265-931X |
ispartof | Journal of environmental radioactivity, 2016-12, Vol.165, p.206-218 |
issn | 0265-931X 1879-1700 |
language | eng |
recordid | cdi_proquest_miscellaneous_1835531989 |
source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | 131I 134Cs 137Cs Aerosol Deposition model Fallout Models, Chemical Models, Statistical Radioactive Hazard Release - statistics & numerical data Risk Assessment - methods SEDEM Sedimentation |
title | Derivation and validation of a novel Semi Empirical Deposition Estimation Model (SEDEM) |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T16%3A36%3A29IST&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=Derivation%20and%20validation%20of%20a%20novel%20Semi%20Empirical%20Deposition%20Estimation%20Model%20(SEDEM)&rft.jtitle=Journal%20of%20environmental%20radioactivity&rft.au=Koivurova,%20Matias&rft.date=2016-12&rft.volume=165&rft.spage=206&rft.epage=218&rft.pages=206-218&rft.issn=0265-931X&rft.eissn=1879-1700&rft_id=info:doi/10.1016/j.jenvrad.2016.10.008&rft_dat=%3Cproquest_cross%3E1835531989%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=1835531989&rft_id=info:pmid/27770699&rft_els_id=S0265931X16304830&rfr_iscdi=true |