Tsunami exposure estimation with land-cover data: Oregon and the Cascadia subduction zone |
| |
| Authors: | Nathan Wood |
| |
| Institution: | 1. School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331-2302, USA;2. Dept. of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA 90089-2531, USA;3. Department of Energy Plant, College of Engineering, Kwandong University, 522 Naegok-dong, Gangneung, Gangwon-do 210-701, South Korea;1. Departamento de Análisis Matemático, Facultad de Ciencias, Universidad de Málaga, Campus de Teatinos s/n, 29080 Málaga, Spain;2. Instituto Español de Oceanografía, Centro Oceanográfico de Málaga, Puerto Pesquero s/n, 29640 Fuengirola, Spain;3. Instituto Español de Oceanografía, Centro Oceanográfico de Cádiz, Puerto Pesquero, Muelle de Levante s/n, 11006 Cádiz, Spain;4. Departamento de Matemática Aplicada, Escuela Politécnica Superior, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain;5. Instituto de Ciencias del Mar, CSIC, Passeig Maritim, 37–49, 08003, Barcelona, Spain |
| |
| Abstract: | A Cascadia subduction-zone earthquake has the potential to generate tsunami waves which would impact more than 1000 km of coastline on the west coast of the United States and Canada. Although the predictable extent of tsunami inundation is similar for low-lying land throughout the region, human use of tsunami-prone land varies, creating variations in community exposure and potential impacts. To better understand such variations, land-cover information derived from midresolution remotely-sensed imagery (e.g., 30-m-resolution Landsat Thematic Mapper imagery) was coupled with tsunami-hazard information to describe tsunami-prone land along the Oregon coast. Land-cover data suggest that 95% of the tsunami-prone land in Oregon is undeveloped and is primarily wetlands and unconsolidated shores. Based on Spearman rank correlation coefficients (rs), correlative relationships are strong and statistically significant (p < 0.05) between city-level estimates of the amount of land-cover pixels classified as developed (impervious cover greater than 20%) and the amount of various societal assets, including residential and employee populations, homes, businesses, and tax-parcel values. Community exposure to tsunami hazards, described here by the amount and relative percentage of developed land in tsunami-prone areas, varies considerably among the 26 communities of the study area, and these variations relate to city size. Correlative relationships are strong and significant (p < 0.05) for community exposure rankings based on land-cover data and those based on aggregated socioeconomic data. In the absence of socioeconomic data or community-based knowledge, the integration of hazards information and land-cover information derived from midresolution remotely-sensed imagery to estimate community exposure may be a useful first step in understanding variations in community vulnerability to regional hazards. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
