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A decision support framework for pollution source detection via coupled forward-inverse optimization and multi-information fusion
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| Type: | Resource | |
| Storage: | The size of this resource is 1.2 MB | |
| Created: | Nov 23, 2022 at 9:31 a.m. | |
| Last updated: | Nov 28, 2022 at 5:24 p.m. | |
| Published date: | Dec 09, 2022 at 6:40 p.m. | |
| DOI: | 10.4211/hs.ebd3c73f946344d8adf0431f20576d1c | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Published |
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| Views: | 772 |
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Abstract
Supporting Information (SI) for Research Article "A decision support framework for pollution source detection via coupled forward-inverse optimization and multi-information fusion", which contains
Text S1. Extended methodology: the ANOVA (analysis of variance).
Figure S1. The sensor data shown in pollutant concentration distribution in Case-T1.
Figure S2. The COD sensor data shown in pollutant concentration distribution and decomposition in Case-T2.
Figure S3. The NH sensor data shown in pollutant concentration distribution and decomposition in Case-T2.
Table S1. Standard limit of COD, TP and NH in GB 3838-2002.
Table S2. The non-uniqueness candidate solutions n Case-T2.
The data The simulated data used in the case study（multi-water quality data）
Subject Keywords
Content
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