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Estimation of transverse velocity and concentration profile using Kumaraswamy distribution
To measure the transverse distribution of the velocity is very important as it is associated with riverine flow processes like distribution of shear stress, sediment concentration distribution, diffusion coefficients, secondary current’s distribution, etc. Many formulations were proposed for transve...
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| Published in: | Stochastic environmental research and risk assessment 2024, Vol.38 (1), p.251-261 |
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| container_title | Stochastic environmental research and risk assessment |
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| creator | Sharma, H. Joshi, N. |
| description | To measure the transverse distribution of the velocity is very important as it is associated with riverine flow processes like distribution of shear stress, sediment concentration distribution, diffusion coefficients, secondary current’s distribution, etc. Many formulations were proposed for transverse distribution of velocity with each being somehow complex in its application. In present study Kumaraswamy’s distribution was utilized to propose a transverse velocity distribution which uses mean velocity and Kumaraswamy’s parameters
a
and
b
. It was observed in the study that skewness in the velocity distribution is a function of both
a
and
b
. Kumaraswamy’s distribution have been observed to predict the velocity profile in a satisfactory manner and when utilized to predict the transverse concentration profile along-with a method developed by Ahmad, predicted it satisfactorily. |
| doi_str_mv | 10.1007/s00477-023-02576-0 |
| format | article |
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a
and
b
. It was observed in the study that skewness in the velocity distribution is a function of both
a
and
b
. Kumaraswamy’s distribution have been observed to predict the velocity profile in a satisfactory manner and when utilized to predict the transverse concentration profile along-with a method developed by Ahmad, predicted it satisfactorily.</description><identifier>ISSN: 1436-3240</identifier><identifier>EISSN: 1436-3259</identifier><identifier>DOI: 10.1007/s00477-023-02576-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Chemistry and Earth Sciences ; Computational Intelligence ; Computer Science ; Creeks & streams ; Diffusion coefficient ; Earth and Environmental Science ; Earth Sciences ; Effluents ; Environment ; Environmental research ; Math. Appl. in Environmental Science ; Original Paper ; Physics ; Pollutants ; Probability Theory and Stochastic Processes ; riparian areas ; risk ; Risk assessment ; Rivers ; Sediment concentration ; sediments ; Shear stress ; Skewness ; Statistics for Engineering ; Stress concentration ; Velocity ; Velocity distribution ; Waste Water Technology ; Water Management ; Water Pollution Control ; Water quality</subject><ispartof>Stochastic environmental research and risk assessment, 2024, Vol.38 (1), p.251-261</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c303t-942beafa277e983f3d857a25ffd6058fb3e4a9ab1c618776af52284cfff28b2d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Sharma, H.</creatorcontrib><creatorcontrib>Joshi, N.</creatorcontrib><title>Estimation of transverse velocity and concentration profile using Kumaraswamy distribution</title><title>Stochastic environmental research and risk assessment</title><addtitle>Stoch Environ Res Risk Assess</addtitle><description>To measure the transverse distribution of the velocity is very important as it is associated with riverine flow processes like distribution of shear stress, sediment concentration distribution, diffusion coefficients, secondary current’s distribution, etc. Many formulations were proposed for transverse distribution of velocity with each being somehow complex in its application. In present study Kumaraswamy’s distribution was utilized to propose a transverse velocity distribution which uses mean velocity and Kumaraswamy’s parameters
a
and
b
. It was observed in the study that skewness in the velocity distribution is a function of both
a
and
b
. Kumaraswamy’s distribution have been observed to predict the velocity profile in a satisfactory manner and when utilized to predict the transverse concentration profile along-with a method developed by Ahmad, predicted it satisfactorily.</description><subject>Aquatic Pollution</subject><subject>Chemistry and Earth Sciences</subject><subject>Computational Intelligence</subject><subject>Computer Science</subject><subject>Creeks & streams</subject><subject>Diffusion coefficient</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Effluents</subject><subject>Environment</subject><subject>Environmental research</subject><subject>Math. 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Appl. in Environmental Science</topic><topic>Original Paper</topic><topic>Physics</topic><topic>Pollutants</topic><topic>Probability Theory and Stochastic Processes</topic><topic>riparian areas</topic><topic>risk</topic><topic>Risk assessment</topic><topic>Rivers</topic><topic>Sediment concentration</topic><topic>sediments</topic><topic>Shear stress</topic><topic>Skewness</topic><topic>Statistics for Engineering</topic><topic>Stress concentration</topic><topic>Velocity</topic><topic>Velocity distribution</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Water quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, H.</creatorcontrib><creatorcontrib>Joshi, N.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental 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><collection>DELNET Engineering & Technology Collection</collection><collection>Environment Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Stochastic environmental research and risk assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, H.</au><au>Joshi, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of transverse velocity and concentration profile using Kumaraswamy distribution</atitle><jtitle>Stochastic environmental research and risk assessment</jtitle><stitle>Stoch Environ Res Risk Assess</stitle><date>2024</date><risdate>2024</risdate><volume>38</volume><issue>1</issue><spage>251</spage><epage>261</epage><pages>251-261</pages><issn>1436-3240</issn><eissn>1436-3259</eissn><abstract>To measure the transverse distribution of the velocity is very important as it is associated with riverine flow processes like distribution of shear stress, sediment concentration distribution, diffusion coefficients, secondary current’s distribution, etc. Many formulations were proposed for transverse distribution of velocity with each being somehow complex in its application. In present study Kumaraswamy’s distribution was utilized to propose a transverse velocity distribution which uses mean velocity and Kumaraswamy’s parameters
a
and
b
. It was observed in the study that skewness in the velocity distribution is a function of both
a
and
b
. Kumaraswamy’s distribution have been observed to predict the velocity profile in a satisfactory manner and when utilized to predict the transverse concentration profile along-with a method developed by Ahmad, predicted it satisfactorily.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00477-023-02576-0</doi><tpages>11</tpages></addata></record> |
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| subjects | Aquatic Pollution Chemistry and Earth Sciences Computational Intelligence Computer Science Creeks & streams Diffusion coefficient Earth and Environmental Science Earth Sciences Effluents Environment Environmental research Math. Appl. in Environmental Science Original Paper Physics Pollutants Probability Theory and Stochastic Processes riparian areas risk Risk assessment Rivers Sediment concentration sediments Shear stress Skewness Statistics for Engineering Stress concentration Velocity Velocity distribution Waste Water Technology Water Management Water Pollution Control Water quality |
| title | Estimation of transverse velocity and concentration profile using Kumaraswamy distribution |
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