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| Kondolf, G. Mathias; University of California, Berkeley; kondolf@berkeley.edu; Boulton, Andrew J.; Ecosystem Management, University of New England; aboulton@une.edu.au; O'Daniel, Scott; University of California-Santa Barbara; sodaniel@icess.ucsb.edu; Poole, Geoffrey C; Eco-metrics, Inc. and University of Georgia; gpoole@eco-metrics.com; Rahel, Frank J.; University of Wyoming; frahel@uwyo.edu; Stanley, Emily H.; University of Wisconsin; ehstanley@wisc.edu; Wohl, Ellen; Colorado State University; ellenw@cnr.colostate.edu; Carlstrom, Julia; National Board of Fisheries; julia.carlstrom@fiskeriverket.se; Cristoni, Chiara; ; c.cristoni@tiscali.it; Huber, Harald; University of Munich; harry.nat@t-online.de; Louhi, Pauliina; Finnish Game and Fisheries Research Institute; pauliina.louhi@rktl.fi; Nakamura, Keigo; Public Works Research Institute, Japan; knakamu@pwri.go.jp. |
| Human impacts to aquatic ecosystems often involve changes in hydrologic connectivity and flow regime. Drawing upon examples in the literature and from our experience, we developed conceptual models and used simple bivariate plots to visualize human impacts and restoration efforts in terms of connectivity and flow dynamics. Human-induced changes in longitudinal, lateral, and vertical connectivity are often accompanied by changes in flow dynamics, but in our experience restoration efforts to date have more often restored connectivity than flow dynamics. Restoration actions have included removing dams to restore fish passage, reconnecting flow through artificially cut-off side channels, setting back or breaching levees, and removing fine sediment deposits... |
| Tipo: Peer-Reviewed Insight |
Palavras-chave: Connectivity; Flow dynamics; Hyporheic zone; River restoration.. |
| Ano: 2006 |
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| Siddiqui, Numair A.; Ramkumar, Mu.; Rahman, Abdul Hadi A.; Mathew, Manoj J.; Santosh, M.; Sum, Chow W.; Menier, David. |
| Advances in photogrammetry have eased the acquisition of high-resolution digital information from outcrops, enabling faster, non-destructive data capturing and improved reservoir modeling. Geocellularmodels for flow dynamics with in the virtual outcrop in siliciclastic deposits at different sets of sandstone facies architecture remain, however, a challenge. Digital maps of bedding, lithological contrast, spatial-temporal variations of bedding and permeability characteristics make it more easy to understand flow tortuosity in a particular architecture. An ability to precisely model these properties can improve reservoir characterization and flow modeling at different scales. Here we demonstrate the construction of realistic 2D sandstone facies based models... |
| Tipo: Text |
Palavras-chave: Siliciclastic sandstone facies; Connectivity; Heterogeneity; Digital outcrop model; Flow dynamics. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00637/74937/76048.pdf |
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