Korean Journal of Agricultural and Forest Meteorology (한국농림기상학회지)

Korean Society of Agricultural and Forest Meteorology (한국농림기상학회)
권호 표지
DOI QR코드

DOI QR Code

Zoning Hydrologic Units for Geospatial Climatology in North Korea

북한지역의 소기후 추정을 위한 수문단위 설정

  • Kim, Jin-Hee (National Center for Agro-Meteorology, Seoul National University) ;
  • Yun, Jin-I. (Department of Ecosystem Engineering, Kyung Hee University)
  • Received : 2011.03.13
  • Accepted : 2011.03.28
  • Published : 2011.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

High-definition, geo-referenced digital climate maps can be produced by applying watershed-specific modules to adjust synoptic observations for local effects including cold air drainage. Since there is no information available on North Korean watersheds, existing geospatial technology for digital climate mapping cannot be transferred to North Korea. We applied a watershed extraction algorithm based on ArcHydro to the North Korean portion of ASTER GDEM and utilized geographical information on major rivers and mountains to adjust the products. Proposed hydrologic zoning system for North Korean watersheds consists of 21 river basins, 93 stream basins and 885 catchments. Combined with the existing 840 South Korean hydrologic units, we now have a complete set of 1,725 catchments which may serve a framework for digital climate modeling across whole land area of the Korean Peninsula.

북한지역에 대해 좌표내장 수치기후지도를 제작하기 위한 선결조건으로서 국지 소기후 추정모형의 최소 공간적용단위인 표준유역(Hydrologic Unit)이 설정되어야 한다. Arc Hydro 기반의 유역추출 알고리즘을 ASTER GDEM에 적용하고, 북한의 5대강(예성강, 대동강, 청천강, 압록강, 두만강) 및 산경도에 나타난 산맥체계에 의해 보완함으로써 신뢰성 높은 북한지역 표준유역도를 제작하였다. 이 표준유역도에 의하면 북한지역은 21개의 대권역, 93개의 중권역, 885개의 소유역으로 구성된다. 기존 남한 표준유역도 840개와 결합하고 각각 소기후모형을 적용할 경우 한반도 전역을 1,725개의 소기후구로 하는 상세 농업기후지대구분이 가능해진다.

Keywords

References

  1. Hellweger, F., 1997: AGREE - DEM Surface ReconditioningSystem. The University of Texas, Austin, TX, USA.
  2. Jenson, S. K., and J. O. Dominique, 1988: Extractingtopographic structure from digital elevation model data forgeographic information system analysis. PhotogrammetricEngineering and Remote Sensing 54, 1593-1600.
  3. Jung, I. K., and S. J. Kim, 2003: Comparison of DEMPreprocessing Method for Efficient Watershed andStream Network Extraction. Journal of Korean Societyof Civil Engineering 23, 393-400. (In Korean withEnglish abstract)
  4. Kim, N. S., 2009: Updating DEM for Improving GeomorphicDetails. Journal of the Korean Association of GeographicInformation Studies 12, 64-72. (In Korean with Englishabstract)
  5. Martz, L. W., and E. D. Jong, 1988: Catch: a FORTRANprogram for measuring catchment area from digitalelevation models. Computers and Geosciences 14, 627-640. https://doi.org/10.1016/0098-3004(88)90018-0
  6. Pfafstetter, O., 1989: Classification of hydrographic basins:coding methodology. Unpublished manuscript, DepartamentoNacional de Obras de Saneamento, August 18, 1989,Rio de Janeiro.
  7. Saunders, W. K., and D. R. Maidment, 1995: Grid-Basedwatershed and stream network delineation for the SanAntonio - Nueces Coastal Basin, Proceedings of TexasWater '95, Texas Section, American Society of CivilEngineers, San Antonio, Texas, 339-348.
  8. Sung, D. G., and G. S. Cho, 2002: A Study on theExtraction of Watershed and Stream Network in usingBurnDEM. Journal of Korean Society of Civil Engineering22, 293-301. (In Korean with English abstract)
  9. Yun, J. I., 2010: Agroclimatic maps augmented by a GIStechnology. Korean Journal of Agricultural and ForestMeteorology 12, 63-73. (In Korean with English abstract) https://doi.org/10.5532/KJAFM.2010.12.1.063
  10. 농어촌연구원, 2005: 북한의 농업기반정보 관리시스템 구축(II). 한국농어촌공사, 300pp.

Cited by

  1. Geographical Migration of Winter Barley in the Korean Peninsula under the RCP8.5 Projected Climate Condition vol.14, pp.4, 2012, https://doi.org/10.5532/KJAFM.2012.14.4.161
  2. Classification of Agro-climatic zones in Northeast District of China vol.17, pp.2, 2015, https://doi.org/10.5532/KJAFM.2015.17.2.102