A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks
High-precision and efficiently distributed discrete element models for water environment simulation are urgently needed in large-scale river network areas, but most distributed discrete element models are serially computed and need performance improving. Parallel computing and other common methods f...
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Veröffentlicht in: | Water (Basel) 2019-03, Vol.11 (3), p.437 |
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creator | Kang, Jin Wang, Yonggui Xu, Jing Yang, Shuihua Hou, Haobo |
description | High-precision and efficiently distributed discrete element models for water environment simulation are urgently needed in large-scale river network areas, but most distributed discrete element models are serially computed and need performance improving. Parallel computing and other common methods for models’ high performance have large labor costs and are complicated. We put forward a new mesh reduced method for promoting computational efficiency with grid re-organization according to the structure and algorithm characteristics of 2D and 3D numerical models. This simple and cheap method was adapted to a classical three-dimensional hydrodynamic and sediment model (ECOMSED) for model improvement and effective evaluation. Six schemes with different grids were made to investigate the performance of this method in the river network area of the Three Gorges Reservoir Basin. It showed good characteristics of simulation performance and model speed-up. We concluded that the method is viable and efficient for optimizing distributed discrete element models. |
doi_str_mv | 10.3390/w11030437 |
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Parallel computing and other common methods for models’ high performance have large labor costs and are complicated. We put forward a new mesh reduced method for promoting computational efficiency with grid re-organization according to the structure and algorithm characteristics of 2D and 3D numerical models. This simple and cheap method was adapted to a classical three-dimensional hydrodynamic and sediment model (ECOMSED) for model improvement and effective evaluation. Six schemes with different grids were made to investigate the performance of this method in the river network area of the Three Gorges Reservoir Basin. It showed good characteristics of simulation performance and model speed-up. 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We concluded that the method is viable and efficient for optimizing distributed discrete element models.</description><subject>Algorithms</subject><subject>Canyons</subject><subject>Computer applications</subject><subject>Discrete element method</subject><subject>Efficiency</subject><subject>Environment simulation</subject><subject>Finite volume method</subject><subject>Flow velocity</subject><subject>Labor costs</subject><subject>Mathematical models</subject><subject>Numerical models</subject><subject>Partial differential equations</subject><subject>River networks</subject><subject>Rivers</subject><subject>Simulation</subject><subject>Structured grids (mathematics)</subject><subject>Two dimensional models</subject><subject>Water quality</subject><subject>Water supply</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkFFLwzAUhYsoOOYe_AcBn3yoJk2ytI9z6BQ2xc3hY7lLbrbO2tYkdQz_vB2KeF_uOfDde-BE0TmjV5xn9HrHGOVUcHUU9RKqeCyEYMf_9Gk08H5LuxFZmkrai75GZIZ-Q-ZoWo2mM2FTG2JrRxYNoimqNVk2ZBFcq0PrOmLiChPfgO_kKwR05LmFKhRhT6AyB1Me9Kw2WHpSVGQKbo3xQkOJZF58dgePGHa1e_Nn0YmF0uPgd_ej5d3ty_g-nj5NHsajaQyJkiG2mTJCgAJDuaAZBcWo1CtqJUuBK2Fslmi0QwBqkA1R2ZU2Wq7AZpkSUvN-dPHzt3H1R4s-5Nu6dVUXmSdSUpEKMeQddflDaVd779DmjSvewe1zRvNDvflfvfwbZcRszg</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Kang, Jin</creator><creator>Wang, Yonggui</creator><creator>Xu, Jing</creator><creator>Yang, Shuihua</creator><creator>Hou, Haobo</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></search><sort><creationdate>20190301</creationdate><title>A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks</title><author>Kang, Jin ; Wang, Yonggui ; Xu, Jing ; Yang, Shuihua ; Hou, Haobo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a275t-f97d44a7ad034090a7105cb0f518a374df92cef6aa0de16e7fbcdc5baf99745c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Canyons</topic><topic>Computer applications</topic><topic>Discrete element method</topic><topic>Efficiency</topic><topic>Environment simulation</topic><topic>Finite volume method</topic><topic>Flow velocity</topic><topic>Labor costs</topic><topic>Mathematical models</topic><topic>Numerical models</topic><topic>Partial differential equations</topic><topic>River networks</topic><topic>Rivers</topic><topic>Simulation</topic><topic>Structured grids (mathematics)</topic><topic>Two dimensional models</topic><topic>Water quality</topic><topic>Water supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Jin</creatorcontrib><creatorcontrib>Wang, Yonggui</creatorcontrib><creatorcontrib>Xu, Jing</creatorcontrib><creatorcontrib>Yang, Shuihua</creatorcontrib><creatorcontrib>Hou, Haobo</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>Kang, Jin</au><au>Wang, Yonggui</au><au>Xu, Jing</au><au>Yang, Shuihua</au><au>Hou, Haobo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks</atitle><jtitle>Water (Basel)</jtitle><date>2019-03-01</date><risdate>2019</risdate><volume>11</volume><issue>3</issue><spage>437</spage><pages>437-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>High-precision and efficiently distributed discrete element models for water environment simulation are urgently needed in large-scale river network areas, but most distributed discrete element models are serially computed and need performance improving. Parallel computing and other common methods for models’ high performance have large labor costs and are complicated. We put forward a new mesh reduced method for promoting computational efficiency with grid re-organization according to the structure and algorithm characteristics of 2D and 3D numerical models. This simple and cheap method was adapted to a classical three-dimensional hydrodynamic and sediment model (ECOMSED) for model improvement and effective evaluation. Six schemes with different grids were made to investigate the performance of this method in the river network area of the Three Gorges Reservoir Basin. It showed good characteristics of simulation performance and model speed-up. We concluded that the method is viable and efficient for optimizing distributed discrete element models.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w11030437</doi><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Canyons Computer applications Discrete element method Efficiency Environment simulation Finite volume method Flow velocity Labor costs Mathematical models Numerical models Partial differential equations River networks Rivers Simulation Structured grids (mathematics) Two dimensional models Water quality Water supply |
title | A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks |
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