본문 바로가기
KERD
논문KCI 등재

Google Earth를 활용한 포항 송도해수욕장의 해안선 변화 감시(2003-2010)

Monitoring Shoreline Changes at the Songdo Beach, Pohang, during 2003-2010, using Google Earth

2

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류환경공학

초록

This paper examines the spatial and temporal variability in the shoreline boundary caused by artificial structures in Songdo Beach of South Korea. Quickbird Images of 2003, 2005, 2007, and 2010 extracted from Google Earth were used to identify changing trends of shoreline boundary. The most significant changes were observed in area where groins were extensively established,inducing the sand beach much narrower than before in almost 75% of the area(15070.72m^2 in 2003 to 3877.46m^2 in 2010). The Google Earth made it possible to identify area-wide patterns of shoreline change subject to many different type of artificial structures, which cannot be acquired by traditional field sampling. Groin heights, lengths and profiles can be modified during maintenance operations if the Google Earth monitoring indicates that the initial layout is not operating properly as a physical barrier to control sediment transport. It is anticipated that this research could be used as a valuable reference to confirm the outputs from past field researches for coastal processes to respond to storms in more visual and quantitative manner.

Abstract

This paper examines the spatial and temporal variability in the shoreline boundary caused by artificial structures in Songdo Beach of South Korea. Quickbird Images of 2003, 2005, 2007, and 2010 extracted from Google Earth were used to identify changing trends of shoreline boundary. The most significant changes were observed in area where groins were extensively established,inducing the sand beach much narrower than before in almost 75% of the area(15070.72m^2 in 2003 to 3877.46m^2 in 2010). The Google Earth made it possible to identify area-wide patterns of shoreline change subject to many different type of artificial structures, which cannot be acquired by traditional field sampling. Groin heights, lengths and profiles can be modified during maintenance operations if the Google Earth monitoring indicates that the initial layout is not operating properly as a physical barrier to control sediment transport. It is anticipated that this research could be used as a valuable reference to confirm the outputs from past field researches for coastal processes to respond to storms in more visual and quantitative manner.

참고문헌 (18)

  1. "국토해양부 해양정책국"[URL]
  2. 권혁재, "지형학" (2005), 법문사
  3. 김명규, "부산 송도해수욕장의 해안선변화 특성 분석", 한국해양공학회지, 24(1), pp.53~59 (2010), 한국해양공학회
  4. 김백운, "해안 매립지에서 과거 해안선의 산정 (Ⅱ): 해안선변화 분석", 한국해안·해양공학회논문집, 21(5), pp.380~390 (2009), 한국해안,해양공학회
  5. 김용석, "항공사진을 이용한 해안선 변화에 대한 시계열 분석", 한국콘텐츠학회 논문지, 7(3), pp.160~167 (2007), 한국콘텐츠학회
  6. 김혜진, "인공 구조물이 해안 지형 형성에 미 치는 영향:포항 송도 해안지역을 대상으로", 석사, pp.2002
  7. 엄정섭, "Google Earth를 이용한 경북대와 홍콩대 캠퍼스의 불투수율 비교평가", 한국지역지리학회지, 15(3), pp.421~433 (2009), 한국지역지리학회
  8. 김병국, "서해연안 환경정보 관리를 위한 Web GIS 구축에 관한 연구", 2003년 춘계 공동학술대회 논문집, pp.419~424 (2003)
  9. 이재원, "해운대 해안의 시기별 해안선 변화량 분석", 대한토목학회 논문집D, 29(5), pp.655~662 (2009), 대한토목학회
  10. 이정만, "Mike21을 이용한 포항 송도 해수욕장의 유사이동", 동아대학교 해양자원 연구소 연구논문집, 13(1), pp.57~67 (2000)
  11. 정승진, "항공사진을 이용한 장기해안선 변화 해석", 박사, pp.2002
  12. 정승진, "항공사진을 이용한 장기해안선 변화 조사", 한국해안·해양공학회논문집, 16(1), pp.10~17 (2004), 한국해안,해양공학회
  13. 정지선, "해안선 변화로부터 연안표사량의 추정", 한국해안·해양공학회논문집, 16(4), pp.258~267 (2004), 한국해안,해양공학회
  14. 최철웅, "수치항공사진을 이용한 해운 대 해수욕장 해안선 변화에 관한 연구", 한국지리정보학회지, 13(2), pp.39~50 (2001)
  15. Gramling,C., "Google Planet:With Virtual Globes,earth scientists see a new world", Geotimes, 53(2), pp.38~39 (2007)
  16. Kajimura, T., "Sand movement and longterm beach evolution in an allu-vial system composed of the SAME river and the NAKO-ASO coast", Japan Soc of Civil Eng, 691, pp.121~132 (2001)
  17. "Land Info Worldwide Mapping"[URL]
  18. Mathew,A.Z., "The creative reconstruction of the internet:Google and the privatization of cyberspace and digiplace", Geoforum, 38, pp.1322~1343 (2007)

관련 논문AI추천

이 간행물의 다른 논문 (12건)