Earticle

초록

영어

Spatial analysis method is one of the most common methods. This research selects an appropriate interpolation method to generate the precipitation data for the grid of mostly urban area missing South Korean detailed precipitation data according to RCP 8.5 scenario provided by Korea Meteorological Administration (KMA) and considers the applicability of 1km*1km grid precipitation date to the administrative district of Korea. To generate the precipitation data of missing area, ESRI ArcGIS was used, and an optimum interpolation method will be selected to generate the precipitation data for the missing areas according to the future climate change scenario, the used interpolation method includes Inverse Distance Weighting (IDW) method, Ordinary Kriging, Universal Kriging, and Spline methods. The most accurate value was found with the Ordinary Kriging in the calculation of suitable interpolation methods using the precipitation data of August, where the precipitation was the highest in the period of 2015 through 2019 with the RCP 8.5 scenario.

목차

Abstract
 1. Introduction
 2. Background Theory
  2.1. Spatial Interpolation
  2.2. Verification of Estimated Results
 3. Grid Supplementation in Urban Area
 4. Accuracy Evaluation Result of Spatial Interpolation
 5. Conclusions
 Acknowledgement
 References

키워드

저자

• DongWoo Jang [ Civil & Environmental Engineering, Incheon National University, 119 Academy-ro, Songdo-dong, Yeonsu- gu, Incheon, South Korea ]
• HyoSeon Park [ Civil & Environmental Engineering, Incheon National University, 119 Academy-ro, Songdo-dong, Yeonsu- gu, Incheon, South Korea ]
• JinTak Choi [ Civil & Environmental Engineering, Incheon National University, 119 Academy-ro, Songdo-dong, Yeonsu- gu, Incheon, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605