A decision support framework for pollution source detection via coupled forward-inverse optimization and multi-information fusion

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）研究论文《耦合正反演优化与多信息融合的污染源探测决策支持框架》的补充材料（Supporting Information，SI），包含以下内容：文本S1：扩展方法——方差分析（ANOVA，Analysis of Variance）。图S1：案例T-1中污染物浓度分布的传感器数据。图S2：案例T-2中污染物浓度分布与分解的化学需氧量（COD，Chemical Oxygen Demand）传感器数据。图S3：案例T-2中污染物浓度分布与分解的NH传感器数据。表S1：GB 3838-2002中化学需氧量（COD，Chemical Oxygen Demand）、总磷（TP，Total Phosphorus）及氨氮（NH）的标准限值。表S2：案例T-2中的非唯一性候选解。本案例研究所用的模拟数据（多水质数据）。