Xu-dong Qiao, Xiu-lin Wang, Shengkang Liang, Xiao-yong Shi, Keqiang Li
{"title":"基于胶州湾陆海准同步监测的COD分布反演及定量评价","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":"{\"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}","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}
Notice of RetractionModeling COD Distribution Based on Land-Sea Quasi-Simultaneous Monitoring of Jiaozhou Bay and Its Quantitative Assessment
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.