Statistical Analysis of Longshore Currents on a Barred Beach
Suzuki, T. and Cox, D.T., 2019. Statistical analysis of longshore currents on a barred beach. Journal of Coastal Research, 35(6), 1215–1224. Coconut Creek (Florida), ISSN 0749-0208. Longshore currents were observed using a horizontally mounted acoustic Doppler current profiler in the nearshore on a...
Gespeichert in:
Veröffentlicht in: | Journal of coastal research 2019-11, Vol.35 (6), p.1215-1224 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1224 |
---|---|
container_issue | 6 |
container_start_page | 1215 |
container_title | Journal of coastal research |
container_volume | 35 |
creator | Suzuki, Takayuki Cox, Daniel T. |
description | Suzuki, T. and Cox, D.T., 2019. Statistical analysis of longshore currents on a barred beach. Journal of Coastal Research, 35(6), 1215–1224. Coconut Creek (Florida), ISSN 0749-0208. Longshore currents were observed using a horizontally mounted acoustic Doppler current profiler in the nearshore on a dissipative barred beach. The data were taken for 20 days from 13 May to 2 June 2016. Wave, current, water level, and wind data were continuously observed. From a statistical point of view, the exceedance probability/occurrence ratio of higher currents is important. Therefore, in this research, the hourly data were used to investigate the spatial and wave-energetic distributions of exceedance probability of the longshore currents. Moreover, the effect of tidal range on this exceedance probability is discussed. From the analysis, the exceedance probabilities of longshore currents were well predicted by the Weibull distribution, with parameters estimated using the normalized wave energy flux, relative surf-zone location, and normalized water depth. The exceedance probability of the longshore current was largely affected by water level (tidal elevation): during high tide it was the same or lower than that of the full data set. However, the exceedance probability was approximately two times larger during low tide than that using the full data set. |
doi_str_mv | 10.2112/JCOASTRES-D-18-00151.1 |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_2348807121</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26819855</jstor_id><sourcerecordid>26819855</sourcerecordid><originalsourceid>FETCH-LOGICAL-b416t-6aa47d74a858cf22a9f68b35943a218007f5b37a1ff676192ac4835b5814d4de3</originalsourceid><addsrcrecordid>eNqNkFtLwzAUx4MoOKcfQSn4nJmT5lbwZevmjcHAzeeQtonrmM1Muod9ezsre_bpcM7_wuGH0B2QEQWgD2_5Yrxcvc-WeIpBYUKAwwjO0AA4B8xJKs7RgEiWYUKJukRXMW46k1BMDtDjsjVtHdu6NNtk3JjtIdYx8S6Z--Yzrn2wSb4PwTZtd20Sk0xMt1XJxJpyfY0unNlGe_M3h-jjabbKX_B88fyaj-e4YCBaLIxhspLMKK5KR6nJnFBFyjOWGgqKEOl4kUoDzgkpIKOmZCrlBVfAKlbZdIju-95d8N97G1u98fvQPRs1TZlSRAKFziV6Vxl8jME6vQv1lwkHDUQfSekTKT3VoPQvKX0M3vbBTWx9OKWoUJApzjud9XpRe9_Y_9b-AEG3dUY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2348807121</pqid></control><display><type>article</type><title>Statistical Analysis of Longshore Currents on a Barred Beach</title><source>Jstor Complete Legacy</source><creator>Suzuki, Takayuki ; Cox, Daniel T.</creator><creatorcontrib>Suzuki, Takayuki ; Cox, Daniel T.</creatorcontrib><description>Suzuki, T. and Cox, D.T., 2019. Statistical analysis of longshore currents on a barred beach. Journal of Coastal Research, 35(6), 1215–1224. Coconut Creek (Florida), ISSN 0749-0208. Longshore currents were observed using a horizontally mounted acoustic Doppler current profiler in the nearshore on a dissipative barred beach. The data were taken for 20 days from 13 May to 2 June 2016. Wave, current, water level, and wind data were continuously observed. From a statistical point of view, the exceedance probability/occurrence ratio of higher currents is important. Therefore, in this research, the hourly data were used to investigate the spatial and wave-energetic distributions of exceedance probability of the longshore currents. Moreover, the effect of tidal range on this exceedance probability is discussed. From the analysis, the exceedance probabilities of longshore currents were well predicted by the Weibull distribution, with parameters estimated using the normalized wave energy flux, relative surf-zone location, and normalized water depth. The exceedance probability of the longshore current was largely affected by water level (tidal elevation): during high tide it was the same or lower than that of the full data set. However, the exceedance probability was approximately two times larger during low tide than that using the full data set.</description><identifier>ISSN: 0749-0208</identifier><identifier>EISSN: 1551-5036</identifier><identifier>DOI: 10.2112/JCOASTRES-D-18-00151.1</identifier><language>eng</language><publisher>Fort Lauderdale: Coastal Education and Research Foundation</publisher><subject>Bathymetry ; Beaches ; Coastal inlets ; Coastal research ; Coasts ; cross-shore location ; Datasets ; Doppler sonar ; Elevation ; Energy transfer ; Exceedance probability ; High tide ; Investigations ; Longshore currents ; Low tide ; Parameter estimation ; Probability ; Probability theory ; Sediment transport ; Sensors ; Standard deviation ; Statistical analysis ; Statistical methods ; Statistics ; Surf zone ; tidal effect ; Tidal effects ; Tidal range ; Tides ; Topography ; Water depth ; Water levels ; Wave energy ; Wave power ; waυe energy flux ; Weibull distribution ; Wind data</subject><ispartof>Journal of coastal research, 2019-11, Vol.35 (6), p.1215-1224</ispartof><rights>Coastal Education and Research Foundation, Inc. 2019</rights><rights>Copyright Allen Press Publishing Services Nov 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b416t-6aa47d74a858cf22a9f68b35943a218007f5b37a1ff676192ac4835b5814d4de3</citedby><cites>FETCH-LOGICAL-b416t-6aa47d74a858cf22a9f68b35943a218007f5b37a1ff676192ac4835b5814d4de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26819855$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26819855$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Suzuki, Takayuki</creatorcontrib><creatorcontrib>Cox, Daniel T.</creatorcontrib><title>Statistical Analysis of Longshore Currents on a Barred Beach</title><title>Journal of coastal research</title><description>Suzuki, T. and Cox, D.T., 2019. Statistical analysis of longshore currents on a barred beach. Journal of Coastal Research, 35(6), 1215–1224. Coconut Creek (Florida), ISSN 0749-0208. Longshore currents were observed using a horizontally mounted acoustic Doppler current profiler in the nearshore on a dissipative barred beach. The data were taken for 20 days from 13 May to 2 June 2016. Wave, current, water level, and wind data were continuously observed. From a statistical point of view, the exceedance probability/occurrence ratio of higher currents is important. Therefore, in this research, the hourly data were used to investigate the spatial and wave-energetic distributions of exceedance probability of the longshore currents. Moreover, the effect of tidal range on this exceedance probability is discussed. From the analysis, the exceedance probabilities of longshore currents were well predicted by the Weibull distribution, with parameters estimated using the normalized wave energy flux, relative surf-zone location, and normalized water depth. The exceedance probability of the longshore current was largely affected by water level (tidal elevation): during high tide it was the same or lower than that of the full data set. However, the exceedance probability was approximately two times larger during low tide than that using the full data set.</description><subject>Bathymetry</subject><subject>Beaches</subject><subject>Coastal inlets</subject><subject>Coastal research</subject><subject>Coasts</subject><subject>cross-shore location</subject><subject>Datasets</subject><subject>Doppler sonar</subject><subject>Elevation</subject><subject>Energy transfer</subject><subject>Exceedance probability</subject><subject>High tide</subject><subject>Investigations</subject><subject>Longshore currents</subject><subject>Low tide</subject><subject>Parameter estimation</subject><subject>Probability</subject><subject>Probability theory</subject><subject>Sediment transport</subject><subject>Sensors</subject><subject>Standard deviation</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Surf zone</subject><subject>tidal effect</subject><subject>Tidal effects</subject><subject>Tidal range</subject><subject>Tides</subject><subject>Topography</subject><subject>Water depth</subject><subject>Water levels</subject><subject>Wave energy</subject><subject>Wave power</subject><subject>waυe energy flux</subject><subject>Weibull distribution</subject><subject>Wind data</subject><issn>0749-0208</issn><issn>1551-5036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqNkFtLwzAUx4MoOKcfQSn4nJmT5lbwZevmjcHAzeeQtonrmM1Muod9ezsre_bpcM7_wuGH0B2QEQWgD2_5Yrxcvc-WeIpBYUKAwwjO0AA4B8xJKs7RgEiWYUKJukRXMW46k1BMDtDjsjVtHdu6NNtk3JjtIdYx8S6Z--Yzrn2wSb4PwTZtd20Sk0xMt1XJxJpyfY0unNlGe_M3h-jjabbKX_B88fyaj-e4YCBaLIxhspLMKK5KR6nJnFBFyjOWGgqKEOl4kUoDzgkpIKOmZCrlBVfAKlbZdIju-95d8N97G1u98fvQPRs1TZlSRAKFziV6Vxl8jME6vQv1lwkHDUQfSekTKT3VoPQvKX0M3vbBTWx9OKWoUJApzjud9XpRe9_Y_9b-AEG3dUY</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Suzuki, Takayuki</creator><creator>Cox, Daniel T.</creator><general>Coastal Education and Research Foundation</general><general>Allen Press Publishing</general><general>Allen Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TN</scope><scope>7U5</scope><scope>7U9</scope><scope>7XB</scope><scope>88I</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M2P</scope><scope>M7N</scope><scope>M7S</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20191101</creationdate><title>Statistical Analysis of Longshore Currents on a Barred Beach</title><author>Suzuki, Takayuki ; Cox, Daniel T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b416t-6aa47d74a858cf22a9f68b35943a218007f5b37a1ff676192ac4835b5814d4de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bathymetry</topic><topic>Beaches</topic><topic>Coastal inlets</topic><topic>Coastal research</topic><topic>Coasts</topic><topic>cross-shore location</topic><topic>Datasets</topic><topic>Doppler sonar</topic><topic>Elevation</topic><topic>Energy transfer</topic><topic>Exceedance probability</topic><topic>High tide</topic><topic>Investigations</topic><topic>Longshore currents</topic><topic>Low tide</topic><topic>Parameter estimation</topic><topic>Probability</topic><topic>Probability theory</topic><topic>Sediment transport</topic><topic>Sensors</topic><topic>Standard deviation</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Surf zone</topic><topic>tidal effect</topic><topic>Tidal effects</topic><topic>Tidal range</topic><topic>Tides</topic><topic>Topography</topic><topic>Water depth</topic><topic>Water levels</topic><topic>Wave energy</topic><topic>Wave power</topic><topic>waυe energy flux</topic><topic>Weibull distribution</topic><topic>Wind data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suzuki, Takayuki</creatorcontrib><creatorcontrib>Cox, Daniel T.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ProQuest Science Journals</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of coastal research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suzuki, Takayuki</au><au>Cox, Daniel T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical Analysis of Longshore Currents on a Barred Beach</atitle><jtitle>Journal of coastal research</jtitle><date>2019-11-01</date><risdate>2019</risdate><volume>35</volume><issue>6</issue><spage>1215</spage><epage>1224</epage><pages>1215-1224</pages><issn>0749-0208</issn><eissn>1551-5036</eissn><abstract>Suzuki, T. and Cox, D.T., 2019. Statistical analysis of longshore currents on a barred beach. Journal of Coastal Research, 35(6), 1215–1224. Coconut Creek (Florida), ISSN 0749-0208. Longshore currents were observed using a horizontally mounted acoustic Doppler current profiler in the nearshore on a dissipative barred beach. The data were taken for 20 days from 13 May to 2 June 2016. Wave, current, water level, and wind data were continuously observed. From a statistical point of view, the exceedance probability/occurrence ratio of higher currents is important. Therefore, in this research, the hourly data were used to investigate the spatial and wave-energetic distributions of exceedance probability of the longshore currents. Moreover, the effect of tidal range on this exceedance probability is discussed. From the analysis, the exceedance probabilities of longshore currents were well predicted by the Weibull distribution, with parameters estimated using the normalized wave energy flux, relative surf-zone location, and normalized water depth. The exceedance probability of the longshore current was largely affected by water level (tidal elevation): during high tide it was the same or lower than that of the full data set. However, the exceedance probability was approximately two times larger during low tide than that using the full data set.</abstract><cop>Fort Lauderdale</cop><pub>Coastal Education and Research Foundation</pub><doi>10.2112/JCOASTRES-D-18-00151.1</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0749-0208 |
ispartof | Journal of coastal research, 2019-11, Vol.35 (6), p.1215-1224 |
issn | 0749-0208 1551-5036 |
language | eng |
recordid | cdi_proquest_journals_2348807121 |
source | Jstor Complete Legacy |
subjects | Bathymetry Beaches Coastal inlets Coastal research Coasts cross-shore location Datasets Doppler sonar Elevation Energy transfer Exceedance probability High tide Investigations Longshore currents Low tide Parameter estimation Probability Probability theory Sediment transport Sensors Standard deviation Statistical analysis Statistical methods Statistics Surf zone tidal effect Tidal effects Tidal range Tides Topography Water depth Water levels Wave energy Wave power waυe energy flux Weibull distribution Wind data |
title | Statistical Analysis of Longshore Currents on a Barred Beach |
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%3A24%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Statistical%20Analysis%20of%20Longshore%20Currents%20on%20a%20Barred%20Beach&rft.jtitle=Journal%20of%20coastal%20research&rft.au=Suzuki,%20Takayuki&rft.date=2019-11-01&rft.volume=35&rft.issue=6&rft.spage=1215&rft.epage=1224&rft.pages=1215-1224&rft.issn=0749-0208&rft.eissn=1551-5036&rft_id=info:doi/10.2112/JCOASTRES-D-18-00151.1&rft_dat=%3Cjstor_proqu%3E26819855%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2348807121&rft_id=info:pmid/&rft_jstor_id=26819855&rfr_iscdi=true |