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Current Trends in Methods of the Efficient Automation of Data Processing
— This article considers the problem of automating the determination of daily water discharge rates based on continuously measured levels and individual water discharge measurements using discharge curves (DCs), which are the most basic characteristic of river (and floodplain) channel capacity and a...
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Published in: | Automatic control and computer sciences 2023-12, Vol.57 (8), p.875-880 |
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container_title | Automatic control and computer sciences |
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creator | Sikarev, I. A. Vekshina, T. V. Bol’shakov, V. A. Korinets, E. M. |
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This article considers the problem of automating the determination of daily water discharge rates based on continuously measured levels and individual water discharge measurements using discharge curves (DCs), which are the most basic characteristic of river (and floodplain) channel capacity and are widely used in river flow analysis and hydraulic calculations. Conclusions on the optimal analytical representation of the DC and the possibilities of constructing a universal model of hydrometric flow analysis are presented. |
doi_str_mv | 10.3103/S014641162308031X |
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This article considers the problem of automating the determination of daily water discharge rates based on continuously measured levels and individual water discharge measurements using discharge curves (DCs), which are the most basic characteristic of river (and floodplain) channel capacity and are widely used in river flow analysis and hydraulic calculations. Conclusions on the optimal analytical representation of the DC and the possibilities of constructing a universal model of hydrometric flow analysis are presented.</description><identifier>ISSN: 0146-4116</identifier><identifier>EISSN: 1558-108X</identifier><identifier>DOI: 10.3103/S014641162308031X</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Channel capacity ; Computer Science ; Control Structures and Microprogramming ; Data processing ; Floodplains ; River flow ; Water discharge</subject><ispartof>Automatic control and computer sciences, 2023-12, Vol.57 (8), p.875-880</ispartof><rights>Allerton Press, Inc. 2023. ISSN 0146-4116, Automatic Control and Computer Sciences, 2023, Vol. 57, No. 8, pp. 875–880. © Allerton Press, Inc., 2023. Russian Text © The Author(s), 2023, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c268t-d9f692f97d469af6942ea9607971d0cb4ec261ca23d24e5e84931ab6ae249e123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Sikarev, I. A.</creatorcontrib><creatorcontrib>Vekshina, T. V.</creatorcontrib><creatorcontrib>Bol’shakov, V. A.</creatorcontrib><creatorcontrib>Korinets, E. M.</creatorcontrib><title>Current Trends in Methods of the Efficient Automation of Data Processing</title><title>Automatic control and computer sciences</title><addtitle>Aut. Control Comp. Sci</addtitle><description>—
This article considers the problem of automating the determination of daily water discharge rates based on continuously measured levels and individual water discharge measurements using discharge curves (DCs), which are the most basic characteristic of river (and floodplain) channel capacity and are widely used in river flow analysis and hydraulic calculations. Conclusions on the optimal analytical representation of the DC and the possibilities of constructing a universal model of hydrometric flow analysis are presented.</description><subject>Channel capacity</subject><subject>Computer Science</subject><subject>Control Structures and Microprogramming</subject><subject>Data processing</subject><subject>Floodplains</subject><subject>River flow</subject><subject>Water discharge</subject><issn>0146-4116</issn><issn>1558-108X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kFFLwzAUhYMoWKc_wLeCz9XcJE2bx1GnEyYKTthbydqbrcM1M0kf_PemTPBBfLn3wvnOuXAIuQZ6y4HyuzcKQgoAyTgtKYfVCUkgz8sMaLk6JckoZ6N-Ti6831EatVImZF4NzmEf0mWcrU-7Pn3GsLXxtCYNW0xnxnRNNyLTIdi9Dp3tR-1eB52-Otug912_uSRnRn94vPrZE_L-MFtW82zx8vhUTRdZw2QZslYZqZhRRSuk0vEWDLWStFAFtLRZC4wcNJrxlgnMsRSKg15LjUwoBMYn5OaYe3D2c0Af6p0dXB9f1kxxnlMlFEQKjlTjrPcOTX1w3V67rxpoPRZW_yksetjR4yPbb9D9Jv9v-gYfhWvK</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Sikarev, I. A.</creator><creator>Vekshina, T. V.</creator><creator>Bol’shakov, V. A.</creator><creator>Korinets, E. M.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20231201</creationdate><title>Current Trends in Methods of the Efficient Automation of Data Processing</title><author>Sikarev, I. A. ; Vekshina, T. V. ; Bol’shakov, V. A. ; Korinets, E. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-d9f692f97d469af6942ea9607971d0cb4ec261ca23d24e5e84931ab6ae249e123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Channel capacity</topic><topic>Computer Science</topic><topic>Control Structures and Microprogramming</topic><topic>Data processing</topic><topic>Floodplains</topic><topic>River flow</topic><topic>Water discharge</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sikarev, I. A.</creatorcontrib><creatorcontrib>Vekshina, T. V.</creatorcontrib><creatorcontrib>Bol’shakov, V. A.</creatorcontrib><creatorcontrib>Korinets, E. M.</creatorcontrib><collection>CrossRef</collection><jtitle>Automatic control and computer sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sikarev, I. A.</au><au>Vekshina, T. V.</au><au>Bol’shakov, V. A.</au><au>Korinets, E. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Current Trends in Methods of the Efficient Automation of Data Processing</atitle><jtitle>Automatic control and computer sciences</jtitle><stitle>Aut. Control Comp. Sci</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>57</volume><issue>8</issue><spage>875</spage><epage>880</epage><pages>875-880</pages><issn>0146-4116</issn><eissn>1558-108X</eissn><abstract>—
This article considers the problem of automating the determination of daily water discharge rates based on continuously measured levels and individual water discharge measurements using discharge curves (DCs), which are the most basic characteristic of river (and floodplain) channel capacity and are widely used in river flow analysis and hydraulic calculations. Conclusions on the optimal analytical representation of the DC and the possibilities of constructing a universal model of hydrometric flow analysis are presented.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.3103/S014641162308031X</doi><tpages>6</tpages></addata></record> |
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ispartof | Automatic control and computer sciences, 2023-12, Vol.57 (8), p.875-880 |
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source | Springer Nature |
subjects | Channel capacity Computer Science Control Structures and Microprogramming Data processing Floodplains River flow Water discharge |
title | Current Trends in Methods of the Efficient Automation of Data Processing |
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