9:30 AM - 9:45 AM
[HTT16-03] Identification of snow characteristics in the basin to applied chemical composition and meteorological hydrological data
Keywords:short time scale, stable isotope ratio analysis, regional water cycle
Changes in the water environment due to climate change have been pointed out, and data development is being undertaken to guide the future image of the quantity and quality of the water cycle. As part of these efforts, we have analyzed the chemical composition of snowfall and snowfall in the Agano River basin, which is a heavy snowfall area. The Agano River depends on snow resources and is responsible for water resources such as power generation. In addition, multiple national parks are distributed, and ecotourism associated with the natural environment is formed. Therefore, the impact of climate change on the water environment is positioned as a large basin. Due to the changes in the chemical composition of snowfall and snowfall that have been carried out since 2014, snowfall other than that derived from the Sea of Japan was rarely observed in the Urabandai area and Tajima area located in the upstream, northeastern, and southeastern parts of the basin. It was suggested that the Tajima area was mostly covered with snow from the Pacific Ocean. On the other hand, the results suggest that the Urabandai area is covered with snow that does not originate from both the Sea of Japan and the Pacific Ocean. In order to verify the results of these chemical properties, we compared the relationship with meteorological hydrological data. As a result, there was a tendency that the weather was more related to the short-term scale than the yearly scale. We report on this characteristic.