zhe zhu
Dalian University of Technology
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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"
ABSTRACT:
The data The simulated data used in the case study（multi-water quality data）
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）
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）
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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）
Created: Nov. 23, 2022, 9:31 a.m.
Authors: zhu, zhe
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）
Created: Dec. 7, 2022, 1:39 a.m.
Authors: zhu, zhe
ABSTRACT:
The data The simulated data used in the case study（multi-water quality data）
ABSTRACT:
Supporting Information (SI) for Research Article "A decision support framework for pollution source detection via coupled forward-inverse optimization and multi-information fusion"