A new approach of monitoring and physically-based modelling to investigate urban wash-off process on a road catchment near Paris

Effects of Using Different Sources of Remote Sensing and Geographic Information System Data on Urban Stormwater 2D–1D Modeling

“…The monitoring was performed between 20 September 2014 and 27 April 2015. In our previous work [19], 56 rainfall events were identified during this study period, in which more than 88% of the events had a rain depth of less than 8 mm, nearly 89% of the events had a mean intensity smaller than 3 mm/h, and 87% of the events had a duration shorter than 7 h.…”

“…In fact, detailed RS data can be used for developing and analyzing physically-based urban stormwater quality models. As the descriptions of spatially-variable processes can be supported by spatial measurements, researchers will be able to test new theories and gain a new understanding of the physical mechanisms with higher-resolution data, which will help improve the modeling techniques [19,27]. On the contrary, in the aspect of operational applications, lower-resolution images have the advantages of greater spatial and temporal coverage, lower costs, and a lack of copyright restrictions, hence, they are preferred by urban stormwater practitioners [1].…”

Development and Assessment of the Physically-Based 2D/1D Model “TRENOE” for Urban Stormwater Quantity and Quality Modelling

“…Yet, it is contrary to the road dust samples (<10%). This phenomenon is caused by the fact that the finest particles of road dry deposits are transferred to the sewer network during typical rainfall events, whereas the coarser particles remain on the urban surface [37]. Based on these measurements, we tested two configurations for assessing the sensitivity to the characteristics of the road surface sediments (Table 4): (i) 3 particle classes based on dry deposit samples, which can represent all the available particles on the urban surfaces; (ii) 3 particle classes based on stormwater samples, which can only represent the removeable particles of the total dry stocks.…”

“…In Figure 7, [37]. Based on these measurements, we tested two configurations for assessing the sensitivity to the characteristics of the road surface sediments (Table 4): (i) 3 particle classes based on dry deposit samples, which can represent all the available particles on the urban surfaces; (ii) 3 particle classes based on stormwater samples, which can only represent the removeable particles of the total dry stocks.…”

Evaluation of the Performance and the Predictive Capacity of Build-Up and Wash-Off Models on Different Temporal Scales

“…Shaw et al [9] proposed in their study a saltation mechanistic wash-off model that describes the detachment of pollutant loads by raindrop while Massoudieh et al [19] simulated pollutant concentrations using a wash-off model that includes the detachment and reattachment processes. In a recent study, Hong et al [20] developed a physical model that considers both rainfall impact and overland flow as the driving mechanism of sediment erosion and suggested that raindrop is the major actor in detaching sediments of the urban surface. Physical approaches are very useful to have an in depth insight into the corresponding process, however, the implementation of physically based models is not always possible especially if they are destined for operational use because they require the availability of large data sets that answer to the detailed description of the system.…”