Abstract
Snow water equivalent (SWE) distribution in time series was acquired from SWE model with AMeDAS data, remote sensing data, and elevation data. The SWE model was composed of the snowfall model and the snowmelt model. The snowfall distribution was presumed using the weighted average distance method with AMeDAS data in the snowfall model. The snowmelt was estimated using the degree-day method in the snowmelt model. The snowmelt rate factor was decided by comparing the snow map with SWE distribution. To discuss the regional vulnerability of snow water resource, difference between SWEs of the little snow year and the heavy one was estimated. As results, the difference was 1000mm and over in Yamagata, Niigata, Toyama and its surroundings, which were considered as vulnerable region of SWE in Japan.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call