Modelling aeration efficiency of hydraulic structures by using adaptive network based fuzzy inference system

The amount of dissolved oxygen (DO) in the waters of rivers and streams is very important to the quality and existence of aquatic life. Hydraulic structures have an impact on the amount of dissolved oxygen in a river system, even though the water is in contact with the structure for only a short time. The same quantity of oxygen transfer that normally would occur over several kilometers in a river can occur at a single hydraulic structure. The primary reason for this accelerated oxygen transfer is that air is entrained into the flow, which produces a large number of bubbles. These air bubbles greatly increase the surface area available for mass transfer. Plunging overfall jets from weirs are a particular instance of this, and the aeration properties of such structures have been studied widely in the laboratory and field over a number of years.In the past few years computation on civil engineering has been concentrated primarily on artificial intelligence (AI) applications, which generally consider expert systems. This article deals with a different AI approach using the benefits of Adaptıve Network Based Fuzzy Inference System (ANFIS) and presents its usefulness on three applications.In this study, predicting flow conditions over stepped cascades, and aeration efficiencies of stepped cascades and sharp-crested weirs are modelled by using Adaptıve Network Based Fuzzy Inference System (ANFIS).Keywords: Adaptive Network Based Fuzzy Inference System (ANFIS), stepped cascades, aeration eficiency, sharp-crested weir