CITIAB
A Monte Carlo simulation and sensitivity analysis framework demonstrating the advantages of probabilistic forecasting over deterministic forecasting in terms of flood warning reliability
Despite the significant progress in probabilistic forecasting science in the last two decades, particularly in the quantification of predictive uncertainty (PU), most operational flood early warning systems (FEWSs) continue to be based on deterministic forecasts. Thereupon, additional work is needed to demonstrate the advantages of using PU over deterministic forecasting to enhance the uptake of probabilistic forecasts in flood warning decision-making.
Application of LPWAN Technologies Based on LoRa in the Monitoring of Water Sources of The Andean Wetlands
This paper presents the design of a water source monitoring system based on LoRa technology for the Tres Lagunas Andean high-altitude wetlands ecosystem (Ecuador). The solution has been implemented using mainly an ATmega1284p microcontroller, an SX1278 transceiver and hydrological sensors. The data is transmitted from the study site to the TTN server and sent via the MQTT protocol to the Node-RED platform.
