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Strong evidence on climate change underscores the need for actions to reduce the impacts of sea-level rise. Global mean sea level may rise 0.18–0.48 m by mid-century1, 2 and 0.5–1.4 m by the end of the century2. Besides marine inundation, it is largely unrecognized that low-lying coastal areas may also be vulnerable to groundwater inundation, which is localized coastal-plain flooding due to a rise of the groundwater table with sea level. Measurements of the coastal groundwater elevation and tidal influence in urban Honolulu, Hawaii, allow estimates of the mean water table, which was used to assess vulnerability to groundwater inundation from sea-level rise. We find that 0.6 m of potential sea-level rise causes substantial...
Sea-level rise (SLR) threatens islands and coastal communities due to vulnerable infrastructure and populations concentrated in low-lying areas. LiDAR (Light Detection and Ranging) data were used to produce high-resolution DEMs (Digital Elevation Model) for Kahului and Lahaina, Maui, to assess the potential impacts of future SLR. Two existing LiDAR datasets from USACE (U.S. Army Corps of Engineers) and NOAA (National Oceanic and Atmospheric Administration) were compared and calibrated using the Kahului Harbor tide station. Using tidal benchmarks is a valuable approach for referencing LiDAR in areas lacking an established vertical datum, such as in Hawai‘i and other Pacific Islands. Exploratory analysis of the USACE...
Global sea-level rise (SLR) is projected to accelerate over the next century, with research indicating that global mean sea level may rise 18–48 cm by 2050, and 50–140 cm by 2100. Decision-makers, faced with the problem of adapting to SLR, utilize elevation data to identify assets that are vulnerable to inundation. This paper reviews techniques and challenges stemming from the use of Light Detection and Ranging (LiDAR) digital elevation models (DEMs) in support of SLR decision-making. A significant shortcoming in the methodology is the lack of comprehensive standards for estimating LiDAR error, which causes inconsistent and sometimes misleading calculations of uncertainty. Workers typically aim to reduce uncertainty...
Coastal strand and wetland habitats in the Hawaiian Islands are often intensively managed to restore and maintain biodiversity. Due to the low gradient of most coastal plain environments, the rate and aerial extent of sea-level rise (SLR) impact will rapidly accelerate once the height of the sea surface exceeds a critical elevation. Here, we develop this concept by calculating a SLR critical elevation and joint uncertainty that distinguishes between slow and rapid phases of flooding. We apply the methodology to three coastal wetlands on the Hawaiian Islands of Maui and O‘ahu to exemplify the applicability of this methodology for wetlands in the Pacific island region. Using high-resolution LiDAR digital elevation...
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