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자갈하천의 하상재료분석을 위한 화상해석법 적용: 남강을 중심으로

An application of image processing technique for bed materials analysis in gravel bed stream: focusing Namgang

  • 김기흥 (경남과학기술대학교 토목공학과) ;
  • 정혜련 (경남과학기술대학교 토목공학과)
  • Kim, Ki Heung (Department of Civil Engineering, Gyeongnam National University of Science and Technology) ;
  • Jung, Hea Reyn (Department of Civil Engineering, Gyeongnam National University of Science and Technology)
  • 투고 : 2018.02.28
  • 심사 : 2018.05.15
  • 발행 : 2018.08.31

초록

하상재료 조사는 유사량 계산 및 하상변동과 같은 하도 계획에 필요한 기초 자료로서 입도분포, 비중, 다공성 등을 조사하는 것이다. 원칙적으로, 조사 지점은 하천 종단 방향으로 1 km 간격이고 하나의 횡단면에 3 개 이상이다. 따라서 조사 대상 하천의 종단 길이에 따라 조사 지점이 아주 많아지기 때문에 조사에 소요되는 시간과 비용이 상당히 증가한다. 본 연구는 입도분석법인 체적법과 화상해석법의 작업 효율성과 비용을 비교하고, 화상해석법의 적용 가능성을 검토하였다. 화상해석법에 의하여 환산된 등가원의 직경이 하상재료 입도분석에 적용될 수 있음을 확인하였다. 또한, 체적법과 화상해석법의 작업효율성과 비용을 분석한 결과 약 80%의 절감효과가 있음을 입증하였다.

The riverbed material survey is to investigate the particle size distribution, specific gravity, porosity, etc. as basic data necessary for river channel plan such as calculation of sediment transport and change of river bed. In principle, the survey spots are 1 km interval in the longitudinal direction of the river and 3 points or more in the 1 cross section. Therefore, depending on longitudinal length of the river to be investigated, the number of surveyed sites is very large, and the time and cost for the investigation are correspondingly required. This study is to compare the particle size analysis method with the volumetric method and the image analysis method in work efficiency and cost and to examine the applicability of the image analysis method. It was confirmed that the diameter of the equivalent circle converted by the image analysis method can be applied to the analysis of bed material particle size. In the gravel stream with a particle size of less than 10 cm and a large shape factor, the analytical result of the bed material by the image analysis method is accurate. However, when the shape factor decreases as the particle size increases, the error increases. In addition, analysis results of the work efficiency and cost of the volume method and the image analysis method showed a reduction of about 80%.

키워드

참고문헌

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