Identification of levee strenght for early warning system using fuzzy logic

Abstract

There are still much potency of levee breaches in Indonesia. The levee strength is mostly influenced by the changing of its constituents. One of the key parameter of this phenomenon is the changing of soil water content in levee body. The increasing of soil water content will loosen the bonds among soil granules that may increase the potential of the levee breaches. The sequence of the changing parameter before levee breach is a crucial data. In this research, a monitoring system have been designed to collect the changing of soil water content using moisture sensor and to examine the changing of water level using ultrasonic sensor. These data will be further processed using fuzzy logic to identify the dangerous state describing the real of levee strength as an early warning system.