利用电阻率层析成像技术监测海水入侵的数字孪生概念

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
J. A. D. Leon, Ronnie S. Concepcion, R. Billones, Jonah Jahara G. Baun, Jose Miguel F. Custodio, R. R. Vicerra, A. Bandala, E. Dadios
{"title":"利用电阻率层析成像技术监测海水入侵的数字孪生概念","authors":"J. A. D. Leon, Ronnie S. Concepcion, R. Billones, Jonah Jahara G. Baun, Jose Miguel F. Custodio, R. R. Vicerra, A. Bandala, E. Dadios","doi":"10.20965/jaciii.2023.p0012","DOIUrl":null,"url":null,"abstract":"Electrical resistivity tomography (ERT) has been seen as an appropriate instrument in several works to monitor and aid in the control of seawater intrusion (SWI) in coastal groundwater systems. This study seeks to discuss the synthesis of a digital twin that couples information between the physical space through ERT as a monitoring sensor and the digital space using SWI simulations to accurately model the behavior of SWI in the present and future settings. To showcase the concept, a Python-based simulation was presented that shows (a) the joint forward modeling-simulation scheme for calculating expected ERT apparent resistivity values from simulated SWI and (b) the calibration of the digital coastal aquifer system through genetic algorithm to accurately match the outputs of the SWI simulations with the ERT measurements.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"20 1","pages":"12-18"},"PeriodicalIF":0.7000,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital Twin Concept Utilizing Electrical Resistivity Tomography for Monitoring Seawater Intrusion\",\"authors\":\"J. A. D. Leon, Ronnie S. Concepcion, R. Billones, Jonah Jahara G. Baun, Jose Miguel F. Custodio, R. R. Vicerra, A. Bandala, E. Dadios\",\"doi\":\"10.20965/jaciii.2023.p0012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electrical resistivity tomography (ERT) has been seen as an appropriate instrument in several works to monitor and aid in the control of seawater intrusion (SWI) in coastal groundwater systems. This study seeks to discuss the synthesis of a digital twin that couples information between the physical space through ERT as a monitoring sensor and the digital space using SWI simulations to accurately model the behavior of SWI in the present and future settings. To showcase the concept, a Python-based simulation was presented that shows (a) the joint forward modeling-simulation scheme for calculating expected ERT apparent resistivity values from simulated SWI and (b) the calibration of the digital coastal aquifer system through genetic algorithm to accurately match the outputs of the SWI simulations with the ERT measurements.\",\"PeriodicalId\":45921,\"journal\":{\"name\":\"Journal of Advanced Computational Intelligence and Intelligent Informatics\",\"volume\":\"20 1\",\"pages\":\"12-18\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Computational Intelligence and Intelligent Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20965/jaciii.2023.p0012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Computational Intelligence and Intelligent Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20965/jaciii.2023.p0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

电阻率层析成像(ERT)已被认为是监测和控制沿海地下水系统海水入侵(SWI)的一种合适的工具。本研究旨在讨论数字孪生的合成,通过ERT作为监测传感器将物理空间与使用SWI模拟的数字空间之间的信息耦合起来,以准确地模拟当前和未来设置中的SWI行为。为了展示这一概念,本文提出了一个基于python的模拟,展示了(a)通过模拟SWI计算ERT视电阻率值的联合正演模拟-模拟方案,以及(b)通过遗传算法校准数字沿海含水层系统,以精确匹配SWI模拟输出与ERT测量结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Twin Concept Utilizing Electrical Resistivity Tomography for Monitoring Seawater Intrusion
Electrical resistivity tomography (ERT) has been seen as an appropriate instrument in several works to monitor and aid in the control of seawater intrusion (SWI) in coastal groundwater systems. This study seeks to discuss the synthesis of a digital twin that couples information between the physical space through ERT as a monitoring sensor and the digital space using SWI simulations to accurately model the behavior of SWI in the present and future settings. To showcase the concept, a Python-based simulation was presented that shows (a) the joint forward modeling-simulation scheme for calculating expected ERT apparent resistivity values from simulated SWI and (b) the calibration of the digital coastal aquifer system through genetic algorithm to accurately match the outputs of the SWI simulations with the ERT measurements.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信