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| Created: | May 27, 2022 at 7:13 a.m. | |
| Last updated: | Nov 23, 2022 at 9:25 a.m. | |
| DOI: | 10.4211/hs.cd13bbac5e6a48c380facd4c2fea55af | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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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
How to Cite
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