Drohnenbasierte optische Ermittlung von heterogenen Oberflächenströmungsmustern in der Nähe von Fischaufstiegshilfen / Drone-based Optical Detection of Heterogeneous Surface Flow Patterns in the Vicinity of Fish Ladders
Dariia Strelnikova, Gernot Paulus, Sabine Käfer, Karl Anders, P. Mayr, H. Mader, Ulf Scherling, Rudi Schneeberger
{"title":"Drohnenbasierte optische Ermittlung von heterogenen Oberflächenströmungsmustern in der Nähe von Fischaufstiegshilfen / Drone-based Optical Detection of Heterogeneous Surface Flow Patterns in the Vicinity of Fish Ladders","authors":"Dariia Strelnikova, Gernot Paulus, Sabine Käfer, Karl Anders, P. Mayr, H. Mader, Ulf Scherling, Rudi Schneeberger","doi":"10.14627/537698019","DOIUrl":null,"url":null,"abstract":"Flow patterns are an important indicator that helps fish to discover fish ladders. This feasibility study investigates the possibility of a non-intrusive detection of surface flow patterns near a fish ladder in an Alpine river. The newly developed method concept involves the use of high-resolution drone based videos and the optical analysis method “Particle Image Velocimetry” (PIV). The flow patterns calculated with PIV are in good agreement with the hydraulic reference measurements, which were performed with the help of a propeller current meter. The results of this feasibility study can be seen as a first step towards the creation of an efficient and standardized methodology for flow analysis in the vicinity of fish ladders.","PeriodicalId":36308,"journal":{"name":"AGIT- Journal fur Angewandte Geoinformatik","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AGIT- Journal fur Angewandte Geoinformatik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14627/537698019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Flow patterns are an important indicator that helps fish to discover fish ladders. This feasibility study investigates the possibility of a non-intrusive detection of surface flow patterns near a fish ladder in an Alpine river. The newly developed method concept involves the use of high-resolution drone based videos and the optical analysis method “Particle Image Velocimetry” (PIV). The flow patterns calculated with PIV are in good agreement with the hydraulic reference measurements, which were performed with the help of a propeller current meter. The results of this feasibility study can be seen as a first step towards the creation of an efficient and standardized methodology for flow analysis in the vicinity of fish ladders.