标题: A Mesh Reduced Method for Speeding Up Structured Grid-Based Water Quantity and Quality Models in Large-Scale River Networks

作者: Kang, J (Kang, Jin); Wang, YG (Wang, Yonggui); Xu, J (Xu, Jing); Yang, SH (Yang, Shuihua); Hou, HB (Hou, Haobo)

来源出版物: WATER  卷: 11  期: 3  文献号: 437  DOI: 10.3390/w11030437  出版年: FEB 28 2019  

摘要: 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.

入藏号: WOS:000464998300010

语言: English

文献类型: Article

作者关键词: mesh reduced method; structured grid; discrete element models; large-scale river network; Three Gorges Reservoir Basin

KeyWords Plus: FINITE-ELEMENT; UNSTRUCTURED GRIDS; FLOW; SIMULATION; SCHEME; DIFFERENCE; SEDIMENT; DYNAMICS; STRATEGY

地址: [Kang, Jin; Hou, Haobo] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Wang, Yonggui; Xu, Jing; Yang, Shuihua] China Univ Geosci, Sch Earth Sci, Hubei Key Lab Crit Zone Evolut, Wuhan 430074, Peoples R China.

[Kang, Jin] Hubei Prov Res Inst Environm Sci, Wuhan 430072, Peoples R China.

通讯作者地址: Hou, HB (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: kangjin314@163.com; wangyg@cug.edu.cn; xujing@cug.edu.cn; yangshuihua@cug.edu.cn; houhb@whu.edu.cn

影响因子：2.069