Identifying historical and future potential lake drainage events on the western Arctic coastal plain of Alaska

• Main Authors: Jones, Benjamin M., Arp, Christopher D., Grosse, Guido (Prof. Dr.), Nitze, Ingmar (Dr.), Lara, Mark J., Whitman, Matthew S., Farquharson, Louise M., Kanevskiy, Mikhail, Parsekian, Andrew D., Breen, Amy L., Ohara, Nori, Rangel, Rodrigo Correa, Hinkel, Kenneth M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2020
• Subjects: ddc:550; Institut für Geowissenschaften; permafrost; Alaska
• Online Access: https://publishup.uni-potsdam.de/frontdoor/index/index/docId/61043; https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-610435; https://doi.org/10.25932/publishup-61043; https://publishup.uni-potsdam.de/files/61043/zmnr1376.pdf

Arctic lakes located in permafrost regions are susceptible to catastrophic drainage. In this study, we reconstructed historical lake drainage events on the western Arctic Coastal Plain of Alaska between 1955 and 2017 using USGS topographic maps, historical aerial photography (1955), and Landsat Imagery (ca. 1975, ca. 2000, and annually since 2000). We identified 98 lakes larger than 10 ha that partially (>25% of area) or completely drained during the 62-year period. Decadal-scale lake drainage rates progressively declined from 2.0 lakes/yr (1955-1975), to 1.6 lakes/yr (1975-2000), and to 1.2 lakes/yr (2000-2017) in the ~30,000-km(2) study area. Detailed Landsat trend analysis between 2000 and 2017 identified two years, 2004 and 2006, with a cluster (five or more) of lake drainages probably associated with bank overtopping or headward erosion. To identify future potential lake drainages, we combined the historical lake drainage observations with a geospatial dataset describing lake elevation, hydrologic connectivity, and adjacent lake margin topographic gradients developed with a 5-m-resolution digital surface model. We identified ~1900 lakes likely to be prone to drainage in the future. Of the 20 lakes that drained in the most recent study period, 85% were identified in this future lake drainage potential dataset. Our assessment of historical lake drainage magnitude, mechanisms and pathways, and identification of potential future lake drainages provides insights into how arctic lowland landscapes may change and evolve in the coming decades to centuries.