Ecohydraulic Modelling to Support Fish Habitat Restoration Measures

Ana Adeva-Bustos, Knut Alfredsen, Hans-Petter Fjeldstad and Kenneth Ottosson
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Ana Adeva-Bustos: Department of Civil and Engineering, Norwegian University of Science and Technology, 7031 Trondheim, Norway
Knut Alfredsen: Department of Civil and Engineering, Norwegian University of Science and Technology, 7031 Trondheim, Norway
Hans-Petter Fjeldstad: SINTEF Energy Research, 7034 Trondheim, Norway
Kenneth Ottosson: Hushållningssällskapet, 861 33 Timrå, Sweden

Sustainability, 2019, vol. 11, issue 5, 1-20

Abstract: Despite that hydromorphological restoration projects have been implemented since the 1940s, the key to improve the effectiveness of future restoration measures remains a challenge. This is in part related to the lack of adequate aims and objectives together with our limitations in understanding the effects on the physical habitat and ecosystems from interventions. This study shows the potential of using remote sensing techniques combined with hydraulic modelling to evaluate the success of physical restoration measures using habitat suitability as a quantifiable objective. Airborne light detection and ranging (LiDAR) was used to build a high-resolution two-dimensional model for Ljungan River, Sweden, using HEC-RAS 5.0. Two types of instream restoration measures were simulated according to the physical measures carried out in the river to improve salmonid habitat: (a) stones and rocks were moved from the bank sides to the main channel, and (b) a concrete wall was broken to open two channels to connect a side channel with the main river. Results showed that the hydraulic model could potentially be used to simulate the hydraulic conditions before and after instream modifications were implemented. A general improvement was found for the potential suitable habitat based on depth, velocity and shear stress values after the instream measures.

Keywords: instream; restoration; HEC-RAS 2D; LiDAR; cost-effectiveness; fish habitat (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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