Non-intrusive bedload granulometry using automated image analysis

Abstract

This paper presents a proprietary open source code for analysis of granulometric properties of bed load material based on non-intrusive automated image analysis. Vertical bedsurface images are processed using the proposed tool and verified with results obtained by well tested optical granulometry tool Basegrain. The practical application of the proposed tool yields accuracy comparable that of the tested framework and traditional sampling methods. Additionally, results showed that the average D 50 grain-size sampled from riverbed of studied river section of river Danube agrees up to 95% with the average D 50 sampled from riverbanks.

The impact of hydropeaking on sediment transport

“…In case of scarcity or absence of sediment data, alternative means of sediment data acquisition, e.g. optical granulometry can be utilized [29]. The studied section of Danube River benefits from several studies [11,12] and [30,31].…”