Annual patterns of mountain runoff and its long-term trends in Japan based on dam inflow data

Annual patterns in mountain runoff in Japan and its long-term trends were analyzed from dam inflow observational data. In this study, inflow into dams, which is often found in mountainous areas of Japan, was regarded as runoff in mountainous areas. Cluster analysis based on dam inflow revealed that mountain runoff in Japan has distinct regional characteristics. For dams on the Japan Sea side, inflow was predominately during the snowmelt season. For dams on the Pacific Ocean side, inflow was predominately during the summer rainy season. Greater inter-annual variability in annual inflow was identified for dams on the Pacific Ocean side due to the substantial inflow variability in summer. An analysis of dam inflow trends found annual dam inflows showed no significant trends for the majority of dams. In contrast, inflow in March and May at many dams in snowy regions showed notable changes. The findings suggest that the total available water resources in mountainous regions in Japan have not seen significant changing trends, but that climate warming has already led to changes in the timing of dam inflows (i.e. mountain runoff) due to earlier snowmelt in snowy regions in Japan.

Authors

Institutions

Publication Details

Journal
Hydrological Research Letters
Published
2025-01-01
DOI
https://doi.org/10.3178/hrl.25-00009
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Annual patterns of mountain runoff and its long-term trends in Japan based on dam inflow data

Tsuyoshi Hoshino
Hydrological Research Letters
Hydrology and Watershed Management Studies
article

Annual patterns of mountain runoff and its long-term trends in Japan based on dam inflow data

Tsuyoshi Hoshino
article en

Abstract

Annual patterns in mountain runoff in Japan and its long-term trends were analyzed from dam inflow observational data. In this study, inflow into dams, which is often found in mountainous areas of Japan, was regarded as runoff in mountainous areas. Cluster analysis based on dam inflow revealed that mountain runoff in Japan has distinct regional characteristics. For dams on the Japan Sea side, inflow was predominately during the snowmelt season. For dams on the Pacific Ocean side, inflow was predominately during the summer rainy season. Greater inter-annual variability in annual inflow was identified for dams on the Pacific Ocean side due to the substantial inflow variability in summer. An analysis of dam inflow trends found annual dam inflows showed no significant trends for the majority of dams. In contrast, inflow in March and May at many dams in snowy regions showed notable changes. The findings suggest that the total available water resources in mountainous regions in Japan have not seen significant changing trends, but that climate warming has already led to changes in the timing of dam inflows (i.e. mountain runoff) due to earlier snowmelt in snowy regions in Japan.

Hydrological Research LettersVol. 19(3)
Hokkaido University (JP), Civil Engineering Research Institute for Cold Region (JP)
Ministry of Education, Culture, Sports, Science and Technology, Cabinet Office, Government of Japan, Council for Science, Technology and Innovation, Japan Society for the Promotion of Science, National Research Institute for Earth Science and Disaster Prevention
Climate action
Openalex Percentile: Top 83%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.