摘要：This paper deals with the practical application of a local
ood warning
system. The system is built on the mathematical model of a selected area. The
rainfall-runo processes are simulated in real-time. The warning system is designed
as an on-line, real-time data inputs-processing system so that it can provide a timely
warning. The warning system is based on a mathematical model and it uses modern
information and communication technology tools. For the system to work properly,
it is absolutely necessary to adhere to a real mathematical model, and thereforea calibration on real historical data and direct measurements is required. This
article describes the tasks of data collection, of building the mathematical model
of the rainfall-runo process, and the monitoring system design. The composed
algorithm is able, based on the measured input data and the modeled situation, send
a noti cation message to the monitoring centre and warn respective civil protection
authorities via SMS messages.
其他摘要：This paper deals with the practical application of a local flood warning system. The system is built on the mathematical model of a selected area. The rainfall-runoff processes are simulated in real-time. The warning system is designed as an on-line, real-time data inputs-processing system so that it can provide a timely warning. The warning system is based on a mathematical model and it uses modern information and communication technology tools. For the system to work properly, it is absolutely necessary to adhere to a real mathematical model, and therefore a calibration on real historical data and direct measurements is required. This article describes the tasks of data collection, of building the mathematical model of the rainfall-runoff process, and the monitoring system design. The composed algorithm is able, based on the measured input data and the modeled situation, send a notification message to the monitoring centre and warn respective civil protection authorities via SMS messages.
关键词：Flood warning system; mathematical modeling; hydro-informatics; data mining; rainfall-runoff processes; MIKE 21; MIKE URBAN
