Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements
Sediment transport can be observed within the flow of water in rivers, canals, and coastal regions, encompassing both suspended-load transport and bed-load transport. Bed-load transport specifically occurs near the riverbed, playing a crucial role in the formation of the riverbed itself. The current...
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creator | Bahmanpouri, Farhad Yadav, Anshul Massari, Christian De Santis, Domenico Sharma, Ashutosh Agarwal, Ankit Sen, Sumit Fraccarollo, Luigi Moramarco, Tommaso Barbetta, Silvia |
description | Sediment transport can be observed within the flow of water in rivers, canals, and coastal regions, encompassing both suspended-load transport and bed-load transport. Bed-load transport specifically occurs near the riverbed, playing a crucial role in the formation of the riverbed itself. The current study aimed to explore the process of sediment transport by employing the entropy concept as a theoretical approach. To this end, field data collected using a current meter in the Alaknanda River at Srinagar in India were utilized. A comparison was made between the calculated mean velocity and discharge values and the observed data obtained from the Central Water Commission (CWC), demonstrating a maximum error percentage of 9%. Subsequently, shear velocity was determined for various cross-sections under different flow scenarios. The Shields parameter was then derived from the shear-velocity distribution to evaluate the transport potential of the sediment particles. The model results showed varying bed-load transport rates that increased as the particle size decreased and the discharge rate increased. In conclusion, the study findings highlight the efficacy of utilizing the entropy theory for estimating flow discharge and sediment transport in developing countries. |
doi_str_mv | 10.3390/w16243684 |
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Bed-load transport specifically occurs near the riverbed, playing a crucial role in the formation of the riverbed itself. The current study aimed to explore the process of sediment transport by employing the entropy concept as a theoretical approach. To this end, field data collected using a current meter in the Alaknanda River at Srinagar in India were utilized. A comparison was made between the calculated mean velocity and discharge values and the observed data obtained from the Central Water Commission (CWC), demonstrating a maximum error percentage of 9%. Subsequently, shear velocity was determined for various cross-sections under different flow scenarios. The Shields parameter was then derived from the shear-velocity distribution to evaluate the transport potential of the sediment particles. The model results showed varying bed-load transport rates that increased as the particle size decreased and the discharge rate increased. In conclusion, the study findings highlight the efficacy of utilizing the entropy theory for estimating flow discharge and sediment transport in developing countries.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w16243684</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Entropy ; Flow velocity ; Grain size ; Morphology ; Parameter estimation ; Probability distribution ; Rivers ; Sediment transport ; Shear stress ; Soil erosion ; Stream flow ; Time series ; Unmanned aerial vehicles</subject><ispartof>Water (Basel), 2024-12, Vol.16 (24), p.3684</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c182t-ea64ed614a127fef861284585baf654003839566932072ebcbb4e795e9df6bfc3</cites><orcidid>0000-0002-9870-1694 ; 0000-0003-2613-2821 ; 0000-0003-2512-1549 ; 0000-0001-7037-3548 ; 0000-0001-8572-7046 ; 0000-0003-0983-1276</orcidid></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>Bahmanpouri, Farhad</creatorcontrib><creatorcontrib>Yadav, Anshul</creatorcontrib><creatorcontrib>Massari, Christian</creatorcontrib><creatorcontrib>De Santis, Domenico</creatorcontrib><creatorcontrib>Sharma, Ashutosh</creatorcontrib><creatorcontrib>Agarwal, Ankit</creatorcontrib><creatorcontrib>Sen, Sumit</creatorcontrib><creatorcontrib>Fraccarollo, Luigi</creatorcontrib><creatorcontrib>Moramarco, Tommaso</creatorcontrib><creatorcontrib>Barbetta, Silvia</creatorcontrib><title>Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements</title><title>Water (Basel)</title><description>Sediment transport can be observed within the flow of water in rivers, canals, and coastal regions, encompassing both suspended-load transport and bed-load transport. Bed-load transport specifically occurs near the riverbed, playing a crucial role in the formation of the riverbed itself. The current study aimed to explore the process of sediment transport by employing the entropy concept as a theoretical approach. To this end, field data collected using a current meter in the Alaknanda River at Srinagar in India were utilized. A comparison was made between the calculated mean velocity and discharge values and the observed data obtained from the Central Water Commission (CWC), demonstrating a maximum error percentage of 9%. Subsequently, shear velocity was determined for various cross-sections under different flow scenarios. The Shields parameter was then derived from the shear-velocity distribution to evaluate the transport potential of the sediment particles. The model results showed varying bed-load transport rates that increased as the particle size decreased and the discharge rate increased. In conclusion, the study findings highlight the efficacy of utilizing the entropy theory for estimating flow discharge and sediment transport in developing countries.</description><subject>Entropy</subject><subject>Flow velocity</subject><subject>Grain size</subject><subject>Morphology</subject><subject>Parameter estimation</subject><subject>Probability distribution</subject><subject>Rivers</subject><subject>Sediment transport</subject><subject>Shear stress</subject><subject>Soil erosion</subject><subject>Stream flow</subject><subject>Time series</subject><subject>Unmanned aerial vehicles</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkFFLwzAUhYMoOOYe_AcXfPKhmjRpmj7OuanQ4ct8Lml74zK6piYZY__eykS8L-fC-biXcwi5ZfSB84I-HplMBZdKXJBJSnOeCCHY5b_9msxC2NFxRKFURifEz4ehs42O1vXgDMQtwrKP3g0nWLsWO4gOliHavY4Iq84d4dmGZqv9J4LuW3jCFkqnW9h43YfB-QhHG7dQ2r2No7ey2LWwRh0OHvfYx3BDrozuAs5-dUo-VsvN4jUp31_eFvMyaZhKY4JaCmwlE5qluUGjJEuVyFRWayMzQSlXvMikLPgYL8W6qWuBeZFh0RpZm4ZPyd357uDd1wFDrHbu4PvxZcWZKHKpGOMjdX-mGu9C8GiqwY9h_alitPpptfprlX8DeiBpTA</recordid><startdate>20241220</startdate><enddate>20241220</enddate><creator>Bahmanpouri, Farhad</creator><creator>Yadav, Anshul</creator><creator>Massari, Christian</creator><creator>De Santis, Domenico</creator><creator>Sharma, Ashutosh</creator><creator>Agarwal, Ankit</creator><creator>Sen, Sumit</creator><creator>Fraccarollo, Luigi</creator><creator>Moramarco, Tommaso</creator><creator>Barbetta, Silvia</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-9870-1694</orcidid><orcidid>https://orcid.org/0000-0003-2613-2821</orcidid><orcidid>https://orcid.org/0000-0003-2512-1549</orcidid><orcidid>https://orcid.org/0000-0001-7037-3548</orcidid><orcidid>https://orcid.org/0000-0001-8572-7046</orcidid><orcidid>https://orcid.org/0000-0003-0983-1276</orcidid></search><sort><creationdate>20241220</creationdate><title>Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements</title><author>Bahmanpouri, Farhad ; Yadav, Anshul ; Massari, Christian ; De Santis, Domenico ; Sharma, Ashutosh ; Agarwal, Ankit ; Sen, Sumit ; Fraccarollo, Luigi ; Moramarco, Tommaso ; Barbetta, Silvia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c182t-ea64ed614a127fef861284585baf654003839566932072ebcbb4e795e9df6bfc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Entropy</topic><topic>Flow velocity</topic><topic>Grain size</topic><topic>Morphology</topic><topic>Parameter estimation</topic><topic>Probability distribution</topic><topic>Rivers</topic><topic>Sediment transport</topic><topic>Shear stress</topic><topic>Soil erosion</topic><topic>Stream flow</topic><topic>Time series</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bahmanpouri, Farhad</creatorcontrib><creatorcontrib>Yadav, Anshul</creatorcontrib><creatorcontrib>Massari, Christian</creatorcontrib><creatorcontrib>De Santis, Domenico</creatorcontrib><creatorcontrib>Sharma, Ashutosh</creatorcontrib><creatorcontrib>Agarwal, Ankit</creatorcontrib><creatorcontrib>Sen, Sumit</creatorcontrib><creatorcontrib>Fraccarollo, Luigi</creatorcontrib><creatorcontrib>Moramarco, Tommaso</creatorcontrib><creatorcontrib>Barbetta, Silvia</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bahmanpouri, Farhad</au><au>Yadav, Anshul</au><au>Massari, Christian</au><au>De Santis, Domenico</au><au>Sharma, Ashutosh</au><au>Agarwal, Ankit</au><au>Sen, Sumit</au><au>Fraccarollo, Luigi</au><au>Moramarco, Tommaso</au><au>Barbetta, Silvia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements</atitle><jtitle>Water (Basel)</jtitle><date>2024-12-20</date><risdate>2024</risdate><volume>16</volume><issue>24</issue><spage>3684</spage><pages>3684-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>Sediment transport can be observed within the flow of water in rivers, canals, and coastal regions, encompassing both suspended-load transport and bed-load transport. Bed-load transport specifically occurs near the riverbed, playing a crucial role in the formation of the riverbed itself. The current study aimed to explore the process of sediment transport by employing the entropy concept as a theoretical approach. To this end, field data collected using a current meter in the Alaknanda River at Srinagar in India were utilized. A comparison was made between the calculated mean velocity and discharge values and the observed data obtained from the Central Water Commission (CWC), demonstrating a maximum error percentage of 9%. Subsequently, shear velocity was determined for various cross-sections under different flow scenarios. The Shields parameter was then derived from the shear-velocity distribution to evaluate the transport potential of the sediment particles. The model results showed varying bed-load transport rates that increased as the particle size decreased and the discharge rate increased. 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subjects | Entropy Flow velocity Grain size Morphology Parameter estimation Probability distribution Rivers Sediment transport Shear stress Soil erosion Stream flow Time series Unmanned aerial vehicles |
title | Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements |
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