Author(s): Ngoc Dung Nguyen; Minh Duc Bui; Peter Rutschmann
Linked Author(s): Peter Rutschmann
Keywords: No Keywords
Abstract: In rivers, connectivity between downstream and upstream habitats is essential for fish movement and migration. Man-made structures on rivers (e. g. flumes, sluices, weirs, dams, culverts, barrages and river crossings) can have significant effects on hydromophodynamic regime and river habitat. Furthermore, these structures can be a barrier to fish movement. Hence, improving longitudinal connectivity in rivers is a chall enge. Conventional approaches to validate efficiency of a connective structure in a river (e. g. fish pathway) are to observe the successful migration rate of river creatures (e. g. fish) through the structure over time using a physical model or field studies. These empirical approaches are costly but no doubt inefficiently. In order to evaluate more efficiently and optimize these river structures, understanding and modeling fish movement in response to environmental cues are necessary. However, fish behaviors are not yet well comprehended, so that modeling fish movement remains a difficult task. In this paper, we develop a model system called FSIM, which considers an individual fish as a behavior based robotic fish (in short called “robot fish”). Similar to the work conducted by Goodwin et al. [1], FSIM applied also a concept of individual-based model (IBM). However, our present model is valid for upstream fish movement. The model is tested for fish tracking through a laboratory pathway, which has been investi gated by Aurelien at the Universite de Poitiers. A comparison with the observed data shows the performance quality of the developed model.
Year: 2018