A multiscale statistical method to identify potential areas of hyporheic exchange for river restoration planning. (January 2019)

• Record Type: Journal Article
• Authors: Magliozzi, Chiara; Coro, Gianpaolo; Grabowski, Robert C.; Packman, Aaron I.; Krause, Stefan
• Is Part Of: Environmental modelling & software. Volume 111(2019)
• Page Start: 311
• Page End: 323
• Publication Date: 2019-01
• Subjects: Hyporheic zone -- Statistics -- Hyporheic exchange flow -- Cluster analysis -- Catchment management -- River basin management; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2018.09.006
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The hyporheic zone (HZ) is an area of interaction between surface and ground waters present in and around river beds. Bidirectional mixing within the HZ, termed hyporheic exchange flow (HEF), plays significant roles in nutrient transport, organic matter and biogeochemical processing in rivers. The functional importance of the HZ in river ecology and hydrology suggests that river managers should consider the HZ in their planning to help compromised systems recover. However, current river restoration planning tools do not take into account the HZ. This paper describes a novel multiscale, transferable method that combines existing environmental information at different spatial scales to identify areas with potentially significant HEF for use in restoration prioritization and planning. It uses a deductive approach that is suited for data-poor case studies, which is common for most rivers, given the very limited data on the spatial occurrence of areas of hyporheic exchange. Results on nine contrasting European rivers, demonstrate its potential to inform river management. Graphical abstract: Image 1 Highlights: A multiscale statistical method is proposed to predict potentially suitable areas for HEF-focused restoration of rivers. Existing hydrological, hydrogeological, topographic, anthropogenic and ecological data are analysed at 3 spatial scales. Results on 9 rivers across Europe indicate reliable categorisations and general alignment with published empirical data. The method can inform the selection of river restoration locations and measures, in the channel, valley and catchment.