Classifying pollutant flush signals in stormwater using functional data analysis on TSS MV curves
文献类型：期刊论文
| 作者 | Jensen, Ditte Marie Reinholdt; Sandoval, Santiago; Aubin, Jean-Baptiste; Bertrand-Krajewski, Jean-Luc; Li Xuyong ; Mikkelsen, Peter Steen; Vezzaro, Luca
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| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2022-06-15 |
| 卷号 | 217期号:0页码:118394 |
| ISSN号 | 0043-1354 |
| 关键词 | 1ST FLUSH QUALITY RUNOFF TIME DISCHARGES MODELS VOLUME LOADS MASS TOOL |
| 英文摘要 | Pollution levels in stormwater vary significantly during rain events, with pollutant flushes carrying a major fraction of an event pollutant load in a short period. Understanding these flushes is thus essential for stormwater management. However, current studies mainly focus on describing the first flush or are limited by predetermined flush categories. This study provides a new perspective on the topic by applying data-driven approaches to categorise Mass Volume (MV) curves for TSS into distinct classes of flush tailored to specific monitoring location. Functional Data Analysis (FDA) was used to investigate the dynamics of MV curves in two large data sets, consisting of 343 measured events and 915 modelled events, respectively. Potential links between classes of MV curves and combinations of rain characteristics were explored through a priori clustering. This yielded correct class assignments for 23-63% of the events using different combinations of MV curve clustering and rainfall characteristics. This suggests that while global rainfall characteristics influence flush, they are not sufficient as sole explanatory variables of different flush phenomena, and additional explanatory variables are needed to assign MV curves into classes with a predictive power that is suitable for e.g. design of stormwater control measures. Our results highlight the great potential of the FDA methodology as a new approach for classifying, describing, and understanding pollutant flush signals in stormwater. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/47214]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 通讯作者 | Jensen, Ditte Marie Reinholdt |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci RCEES, State Key Lab Urban & Reg Ecol, 18 Shuangqing Rd, Beijing 100085, Peoples R China 2.Tech Univ Denmark DTU, Dept Environm & Resource Engn, Bygningstorvet 115, DK-2800 Lyngby, Denmark 3.Univ Lyon, DEEP, INSA Lyon, EA 7429, F-69621 Villeurbanne, France 4.Sino Danish Ctr Educ & Res SDC, Aarhus, Peoples R China 5.Univ Chinese Acad Sci UCAS, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jensen, Ditte Marie Reinholdt,Sandoval, Santiago,Aubin, Jean-Baptiste,et al. Classifying pollutant flush signals in stormwater using functional data analysis on TSS MV curves[J]. WATER RESEARCH,2022,217(0):118394. |
| APA | Jensen, Ditte Marie Reinholdt.,Sandoval, Santiago.,Aubin, Jean-Baptiste.,Bertrand-Krajewski, Jean-Luc.,Li Xuyong.,...&Vezzaro, Luca.(2022).Classifying pollutant flush signals in stormwater using functional data analysis on TSS MV curves.WATER RESEARCH,217(0),118394. |
| MLA | Jensen, Ditte Marie Reinholdt,et al."Classifying pollutant flush signals in stormwater using functional data analysis on TSS MV curves".WATER RESEARCH 217.0(2022):118394. |
入库方式： OAI收割
来源：生态环境研究中心
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