2016
DOI: 10.2112/si76-009
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Hydrologic Connectivity: Quantitative Assessments of Hydrologic-Enforced Drainage Structures in an Elevation Model

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

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Cited by 10 publications
(24 citation statements)
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“…Regardless of the technique, notice that both Figures 3 and 4 show that road elevations overlaying drainage structures prevent hydrologic connectivity from inland areas to ocean waters. In the lidar elevation surface, these types of elevated (road) features can be identified and hydrologicallyenforced [9,10,12,13] to consider inland areas prior to inundation analysis. Figures 3 and 4 are just a few examples shown at a fine scale to illustrate the need for hydrologic connectivity between inland and ocean waters.…”
Section: Hydrologically Disconnected Inland Areasmentioning
confidence: 99%
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“…Regardless of the technique, notice that both Figures 3 and 4 show that road elevations overlaying drainage structures prevent hydrologic connectivity from inland areas to ocean waters. In the lidar elevation surface, these types of elevated (road) features can be identified and hydrologicallyenforced [9,10,12,13] to consider inland areas prior to inundation analysis. Figures 3 and 4 are just a few examples shown at a fine scale to illustrate the need for hydrologic connectivity between inland and ocean waters.…”
Section: Hydrologically Disconnected Inland Areasmentioning
confidence: 99%
“…Planners and water resource managers responsible for mitigating associated risks and costs to communities and ecosystems also rely on elevation-based predictions for coastal inundation mapping. Thus, lidar elevation surfaces are critical for modeling the volume of water flow over the topography to determine elevations at risk from coastal inundation [12][13][14][15][16][17]. The accuracy of coastal inundation predictions, however, is dependent upon inundation methods that account for hydrologic connectivity of inland and ocean waters in a highly detailed lidar elevation surface [12][13][14][15].…”
Section: Introduction/backgroundmentioning
confidence: 99%
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