Study on Potential Influence of Runoff on Observatory-Based Watershed in Japan


  •  Donglai Ma    
  •  Seiko Yoshikawa    
  •  Yoshiaki Ohsawa    
  •  Tadamasa Saito    
  •  Masahiro Kobayashi    
  •  Sadao Eguchi    

Abstract

Land use shows the interaction between human and nature, and its impacts especially on runoff have received global attention and required more research studies. However, watershed database is generally available only for very large scales and not yet adapted to small scales. This paper presents a methodology for watershed delineation and potential influence assessment of runoff on the small watersheds in Japan based on the locations of the official observatory point data. Flow direction, flow accumulation, snap pour point and watershed recognition were analyzed by using the D8 algorithm and 10 m × 10 m DEM data of Japan. Totally 3831 watersheds were delineated by defining snapping pour point distance of 50 m as the input value, and the nation-wide watershed database was established. According to the suggestion of Notification No. 521 from the Ministry of Land, Infrastructure and Transport of Japan and land use/land cover data from JAXA satellite Alos-2, comprehensive runoff coefficient (CRC) was calculated by the weighted average method and divided into 10 levels by the equal interval method using ArcGIS. The obtained watershed boundary lines were almost identical to the ridge lines in the mountain area which accounts for more than half of Japan. The CRC values in the biggest cities such as Tokyo and Osaka were the highest, indicating these cities would receive the highest impacts of runoff. These results can provide the technical support for the decision-making on watershed management. The creation of small-scale watershed database would provide basic materials for the subsequent research such as flood prevention, water shortage and biogeochemical cycle of the sustainable regional development.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1913-9063
  • Issn(Onlne): 1913-9071
  • Started: 2008
  • Frequency: bimonthly

Journal Metrics

Google Scholar Citations

Google-based Impact Factor (2017): 3.25

h-index (2017):  33

i10-index (2017): 81

h5-Index (2017): 18

h5-Media (2017): 25

Contact