Notice of RetractionModeling COD Distribution Based on Land-Sea Quasi-Simultaneous Monitoring of Jiaozhou Bay and Its Quantitative Assessment

Xu-dong Qiao, Xiu-lin Wang, Shengkang Liang, Xiao-yong Shi, Keqiang Li
{"title":"Notice of RetractionModeling COD Distribution Based on Land-Sea Quasi-Simultaneous Monitoring of Jiaozhou Bay and Its Quantitative Assessment","authors":"Xu-dong Qiao, Xiu-lin Wang, Shengkang Liang, Xiao-yong Shi, Keqiang Li","doi":"10.1109/ICBBE.2011.5780749","DOIUrl":null,"url":null,"abstract":"A numerical chemical oxygen demand (COD) transport and transformation model of Jiaozhou Bay was developed, which hydrodynamic sub-model was based on ECOM. The model was calibrated and confirmed using the quasi-simultaneous monitoring data over land runoffs and surface water of the bay in 2007. The simulations reproduced COD horizontal distributions under different input scenarios. The distribution was mainly influenced by Dagu River in Aug., where the isopleths decreased from the northwest to the bay mouth. The distribution was mostly affected by the external inputs from east in Nov., where the isopleths generally descended from the northeast. Relative standard deviation (RSD) and similarity index (SI) were applied to quantify the agreement between model and data distributions in term of magnitude and trend, respectively. Best fittings were achieved when the COD decay rate was 0.03 d-1 (RSD<;30%, SI>;0.8). RSD and SI provided objective and quantitative comparison of spatial maps, which could be used in the assessment of other numerical models.","PeriodicalId":6438,"journal":{"name":"2011 5th International Conference on Bioinformatics and Biomedical Engineering","volume":"11 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 5th International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2011.5780749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A numerical chemical oxygen demand (COD) transport and transformation model of Jiaozhou Bay was developed, which hydrodynamic sub-model was based on ECOM. The model was calibrated and confirmed using the quasi-simultaneous monitoring data over land runoffs and surface water of the bay in 2007. The simulations reproduced COD horizontal distributions under different input scenarios. The distribution was mainly influenced by Dagu River in Aug., where the isopleths decreased from the northwest to the bay mouth. The distribution was mostly affected by the external inputs from east in Nov., where the isopleths generally descended from the northeast. Relative standard deviation (RSD) and similarity index (SI) were applied to quantify the agreement between model and data distributions in term of magnitude and trend, respectively. Best fittings were achieved when the COD decay rate was 0.03 d-1 (RSD<;30%, SI>;0.8). RSD and SI provided objective and quantitative comparison of spatial maps, which could be used in the assessment of other numerical models.
基于胶州湾陆海准同步监测的COD分布反演及定量评价
建立了胶州湾化学需氧量(COD)运移转化数值模型,其中水动力子模型是基于ECOM的。利用2007年海湾陆地径流和地表水的准同步监测数据对模型进行了标定和验证。模拟重现了不同输入情景下COD的水平分布。8月主要受大沽河影响,从西北向湾口方向等面线逐渐减少。11月的分布主要受来自东部的外部输入影响,等值线总体上由东北方向下降。采用相对标准偏差(RSD)和相似指数(SI)分别量化模型与数据分布在量级和趋势上的一致性。当COD衰减率为0.03 d-1 (RSD;0.8)时,拟合效果最佳。RSD和SI提供了空间图的客观定量比较,可用于其他数值模式的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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