Figure 12 | Drifter tracking as seen on the web application.
Related Figures (18)
Figure 1 | Study area of Colima-Villa de Alvarez, Mexico. Left panel shows the city of Colima, the catchment area and its elevation and Colima river network Figure 2 | Distribution of rainfall and temperature (left panel) and storm events (right panel) from 1950 to 2017 Figure 3 | Location of the fixed nodes in Colima-Villa de Alvarez, Mexico (left). The right panel map shows the 3G/4G signal strength in the study area. format that allows the standardisation of information. This Manufacturer name Description Table 1 | Weather station node specifications Figure 4 | General diagram of the implemented network. Table 3 | Drifter specifications Table 2 | RiverCore specifications Table 4 | RiverDrone specifications events generated significant rainfall and damage such as collapse of bridges, the destruction of roads and the flood- ing of critical infrastructure (e.g. schools, hospitals and ‘able 5 | Tropical cyclone storms that affected Colima-villa de Alvarez metropolitan area in 2019 Figure 5 | Screen shot of the web application dashboard. Figure 6 | Tropical cyclone tracks of Lorena (upper map) Narda (left) and Priscilla (right). Figure 7 | Upper panel: (a) hyetograph of Lorena Tropical Cyclone. Bottom panel: (b) cumulative rainfall between 15:00 and 22:00 on 18 September, (c) cumulative rainfall between 15:00 on 18 September and 05:00 on 19 September and (d) total rainfall depth in mm. Figure 8 | Upper panel: (a) hyetograph of Narda Tropical Cyclone. Bottom panel: (b) cumulative rainfall in the first 7 h (29 September), (c) cumulative rainfall in the early 12 h (29-30 September) and (d) total rainfall (29-30 September). igure 9 | Upper panel: (a) hyetograph of Priscilla Tropical Cyclone. Bottom panel: (b) cumulative rainfall on 18 October, (c) cumulative rainfall on 19 October and (d) total rainfall (18-19 October). Figure 10 | Simulation of the rainfall-runoff process of the Colima river system (Node 14). Figure 11 | Location of the drifter experiment. water level across the main rivers in Colima city, (2) eight This paper presents development phases and experiments o an IoT-based network of sensors for fluvial water level moni toring and food warning system for the urban area o Colima-Villa de Alvarez in Mexico. The network is com posed of (1) eight fixed nodes (RiverCore) collecting fluvia water level across the main rivers in Colima city, (2) eigh Figure 14 | Photos from the project January 2020 workshop.
