|本期目录/Table of Contents|

[1]崔伟哲,郝奇琛*,陈康,等.不同网格加密方法在河流回补地下水模拟中的对比[J].地球科学与环境学报,2020,42(03):394-404.[doi:10.19814/j.jese.2019.11001]
 CUI Wei-zhe,HAO Qi-chen*,CHEN Kang,et al.Comparison of Different Grid Refinement Methods in Simulations of Groundwater Recharge by Rivers[J].Journal of Earth Sciences and Environment,2020,42(03):394-404.[doi:10.19814/j.jese.2019.11001]
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不同网格加密方法在河流回补地下水模拟中的对比(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第42卷
期数:
2020年第03期
页码:
394-404
栏目:
水资源与环境
出版日期:
2020-05-15

文章信息/Info

Title:
Comparison of Different Grid Refinement Methods in Simulations of Groundwater Recharge by Rivers
文章编号:
1672-6561(2020)03-0394-11
作者:
崔伟哲1郝奇琛2*陈康1陈飞3唐世南3朱玉晨2曹胜伟2
(1. 河北地质大学 水资源与环境学院,河北 石家庄 050031; 2. 中国地质科学院水文地质环境地质研究所,河北 石家庄 050061; 3. 水利部水利水电规划设计总院,北京 100120)
Author(s):
CUI Wei-zhe1 HAO Qi-chen2* CHEN Kang1 CHEN Fei3 TANG Shi-nan3 ZHU Yu-chen2 CAO Sheng-wei2
(1. College of Water Resources and Environment, Hebei GEO University, Shijiazhuang 050031, Hebei, China; 2. Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, Hebei, China; 3. Water Resources and Hydropower Planning and Design General Institute, Beijing 100120, China)
关键词:
地下水 人工回补 数值模拟 网格加密 四叉树网格 嵌套网格 模拟精度 非结构化网格
Keywords:
groundwater artificial recharge numerical simulation grid refinement Q-tree grid nested grid simulation accuracy unstructured grid
分类号:
P641.6
DOI:
10.19814/j.jese.2019.11001
文献标志码:
A
摘要:
河流回补地下水是线状回补过程,河道附近地下水位高精度模拟是回补效果准确评估的关键。基于非结构化网格加密方法,设定4种不同的网格剖分方案(两种结构化网格和两种局部加密的非结构化网格),在不同边界条件下对河流回补地下水过程进行模拟。通过对末流场、距离河道不同范围回补前后水位变差、地下水均衡和模型运行效率的对比分析,阐明线状回补模拟中不同网格加密方法的优劣。结果表明:与粗结构网格模型相比,两种局部加密的非结构化网格模型以及细结构网格模型的模拟精度高,能更准确刻画因河道回补导致的地下水位变化; 两种局部加密的非结构化网格模型比细结构网格模型运行时间短,在没有大幅降低模拟精度的条件下,运行效率更高; 四叉树网格模型相对于嵌套网格模型具有长期模拟的优势,在河流回补期末,模拟精度要稍高于嵌套网格模型; 同时,四叉树网格模型具有多级加密的优势,加密级次越多,剖分的网格数量相对越少,运行时间相对更短。综上所述,四叉树网格加密方法既保证了模拟精度,又一定程度上提高了模型运行效率,是值得推广的一种局部网格加密方法。
Abstract:
Groundwater recharge by river is a linear recharge process, and high-precision simulation of the groundwater level near the river is a key to accurately assessing the effect of recharge. Based on unstructured grid refinement method, four different grid generation methods(two structural grids and two locally refined unstructured grids)were set, and different boundary conditions and subdivision of two unstructured grids were used to numerically simulate the process of groundwater recharge by river. Through a comparison of the final flow field, water level variations before and after recharge under different distances with river, groundwater balance and operation efficiency of model, the advantages and disadvantages of different grid refinement methods in the linear recharge simulation were demonstrated. The results show that two locally refined unstructured grid models and fine structured grid model are more accurate than coarse structured grid model, resulting in more accurately description of the changes in groundwater levels caused by river recharge; two locally refined unstructured grid models have a shorter running time than fine structured grid model, and run more efficiently without significantly reducing the accuracy of the simulation; Q-tree grid model has some advantages over nested grid model in long-term simulation, and the simulation accuracy is slightly higher than nested grid model in the later period of river recharge; moreover, Q-tree grid model has the advantage of multilevel refinement with fewer grids and shorter running time than nested grid model. In conclusion, the Q-tree grid refinement method not only guarantees simulation accuracy, but also reduces running time to a large extent, which indicates that the Q-tree grid refinement method should be recommended for simulations of groundwater recharge by river.

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备注/Memo

备注/Memo:
收稿日期:2019-11-03; 修回日期:2020-03-30; 网络首发日期:2020-05-18投稿网址:http:∥jese.chd.edu.cn/
基金项目:国家自然科学基金项目(41702282); 国家科技基础资源调查专项项目(2017FY100405); 中国地质调查局地质调查项目(DD20190303,DD20160238)
作者简介:崔伟哲(1994-),男,河北保定人,工学硕士研究生,E-mail:846494889@qq.com。
*通讯作者:郝奇琛(1986-),男,山东滕州人,助理研究员,工学博士,E-mail:haoqichen2008@163.com。
更新日期/Last Update: 2020-05-27