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Article

A Preliminary Study on the Establishment of Background Levels and Management Targets in the Coastal Ecosystem of Korean Peninsula Using Outlier Test

이상치 검증을 이용한 한반도 연안생태계의 배경 농도 및 관리 항목 도출에 대한 예비 연구

BYUNG SUN CHIN1
,
IN SEO HWANG2
,
YOUNG NAM KIM2
,
BYOUNG SEOL KOH2
,
JEONG KYU YOO2
,
HOE IN JUNG2
,
JUNG WON YEO2
,
SEUNG WOO2
,
GYUNG SOO PARK1*
진 병선1
,
황 인서2
,
김 영남2
,
고 병설2
,
유 정규2
,
정 회인2
,
여 정원2
,
우 승2
,
박 경수1*
1Department of Marine Biotechnology, Anyang University
2Korea Marine Environment Management Corporation
1안양대학교 해양바이오시스템공학과
2해양환경공단
* Corresponding Author
28 February 2019. pp. 170-186
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Abstract

해양생태계조사는 많은 항목을 다양한 장소로부터 다양한 시기에 조사/분석한다. 따라서 다항목의 복잡한 생태 자료를 효과적으로 분석하기는 매우 어려우며, 또한 자료 분석을 통하여 생태계의 현황을 파악하고, 문제점을 진단하기는 더욱 어렵다. 따라서 본 논문은 생태 조사 자료의 분포 특성과 이상치 분석을 통하여 복잡한 생태 자료의 합리적 해석에 대한 예시를 제시하고자한다. 주요 연구 내용은 각 생태 자료의 분포 특성을 고려한 한반도 연안의 생태 요소별 배경 농도 도출과 생태계 모니터링 지시자 도출 및 적응적 관리 체제 구축이다. 본 논문에 이용된 자료는 해양수산부와 해양환경공단이 주관하는 국가해양생태계종합조사의 연안생태조사 자료를 이용하였으며, 주요인용 시기는 2015~2017년 자료이다. 본 논문은 상기 과정을 정립하는 예비 연구이며, 국가해양생태계종합조사 중 연안생태조사가 한반도 전 연안에서 총 3회가 완료되는 시점인 2020년 이후에 연안생태계의 생태 요소별 배경 농도 및 관리 방안에 대한 최종 결과가 도출될 예정이다.

The marine ecosystem survey investigates and analyzes multi-parameters at various times from various sites. Therefore, it is very difficult to analyze the complex ecological data of multi-items effectively, and it is more difficult to identify the current status and diagnose the problems of ecosystem through data analysis. Therefore, this paper aims to provide an example of interpretation of complex ecological data through analysis of distribution characteristics and outliers of ecological survey data. The main contents of the study are to elucidate the background levels of coastal ecosystem parameters considering the distribution characteristics of data, and to establish ecosystem monitoring indicators and an adaptive management system for the coastal waters in Korean Peninsula. The data used in this paper are based on the coastal ecosystem survey of the National Marine Ecosystem Monitoring Program conducted by the Ministry of Oceans and Fisheries (MOF) and the Korea Marine Environment Management Corporation (KOEM), and the major citations are from year 2015 to 2017. This article is a preliminary study to establish the above processes and the final result will be derived in 2020 when the coastal ecosystem survey is completed three times along the Korean coast.

Keywords
Outlier test
Background levels
Monitoring indicators
Adaptive management
National Marine Ecosystem Monitoring Program
Coastal ecosystem
Korean Peninsula

References
1
장세경, 2015. 사범대생을 위한 확률과 통계. 경문사. 서울. 482 pp.
2
채영암, 구자옥, 서학수, 이영만, 정승근, 2005. 기초생물통계학. 향문사. 서울. 370 pp.
3
해양수산부와 해양환경공단, 2014. 해양생태계 기본조사 연보(제2권 해양보고구역특별조사/해양생태도). 249 pp.
4
해양수산부와 해양환경공단, 2015. 국가해양생태계종합조사 연보(2.서해·남해서부 연안생태계). 358 pp.
5
해양수산부와 해양환경공단, 2016. 국가해양생태계종합조사 연보(2.동해·남해동부·제주 연안생태계). 329 pp.
6
해양수산부와 해양환경공단, 2017. 국가해양생태계종합조사 연보(2.동해·서해·남해·제주 연안생태계). 641 pp.
7
Choi, J.W., S.M. Hyun and M. Chang, 2003. The summer benthic environmental conditions assessed by the functional groups of macrobiotic fauna in Gwangyang Bay, southern coast of Korea. Korean J. Environ. Biol., 21: 103-113.
8
Cousineau, D., U.D. Montreal and S. Chartier, 2010. Outlier detection and treatment: a review. International J. of Psychological Research, 3: 58-67.
10.21500/20112084.844
9
Elfwing, T., C. Folke, M. McLachlan, E. Gorokhova, L. Kautsky, C. Humborg, J. Ebbesson, B. Bergman and R. Elmgren, 2014. Baltic ecosystem adaptive management. mini report. Stockholm University. Stockholm. 32 pp.
10
Hirsch, R.M. and J.R. Slack, 1984. A nonparametric trend test for seasonal data with serial dependence. Water Resources Research, 20: 727-732.
10.1029/WR020i006p00727
11
Jackson, D.A. and Y. Chen, 2004, Robust principal component analysis and outlier detection with ecological data. Environmetrics, 15: 129-139.
10.1002/env.628
12
Jung, K.Y., I.J. Lee, K.L. Lee, S.U. Cheon, J.Y. Hong and J. M. Ahn, 2016. Long-term trend analysis and exploratory data analysis of Geumho river based on seasonal mann-kendall test. J. Env. Sci. Intnl, 25: 217-229.
10.5322/JESI.2016.25.2.217
13
Kim, J.E., 2018. A study on the applicability of outlier detection methods for efficient management of water quality Data. Master Thesis, Gyeongsang National University. Jinju. 55 pp.
14
Lee, C.H., 2008. Statistic method of detection outliers from irregularity data. Master Thesis, Kongju University, Kongju, 55 pp.
15
Leys, C., C. Ley, O. Klein, P. Bernard and L. Licata, 2013. Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. JESP, 49: 764-766.
10.1016/j.jesp.2013.03.013
16
Long, E.R., D.D. MacDonald, S.L. Smith and F.D. Calder, 1995. Incidence of adverse biological effects within ranges of chemical concentrations in marine and estuarine sediments. Environ. Manage, 19: 81-97.
10.1007/BF02472006
17
MOF and KOEM, 2014. National investigation of marine ecosystem protocol, Ministry of Oceans and Fisheries (MOF) and Korea Marine Environment Management Cooperation (KOEM), Seoul, 141 pp.
18
MOF and KOEM, 2016. Protocol of national survey on marine ecosystem, Ministry of Oceans and Fisheries (MOF) and Korea Marine Environment Management Cooperation (KOEM), Seoul, 148 pp.
19
Rho, T.K., T.S. Lee, S.R. Lee, M.S. Choi, C. Park, J.H. Lee, J.Y. Lee and S.S. Kim, 2012. Reference values and water quality assessment based on the regional environmental characteristics. The Sea, 17: 45-58.
10.7850/jkso.2012.17.2.045
20
Sokal, R.R. and F.J. Rohlf, 1995. Biometry: the principles and practice of statistics in biological research. W.H.Freeman & Co, New York, 915 pp.
21
Wang, C., J. Caja and E. Gómez, 2018. Comparison of methods for outlier identification in surface characterization. Measurement, 117: 312-325.
10.1016/j.measurement.2017.12.015
22
Yoo, J.W., Y.W. Lee, J.L. Ruesink, C.G. Lee, C.S. Kim, M.R. Park, K.T. Yoon, I.S. Hwang, J.H. Maeng, R. Rosenberg and J.S. Hong, 2010. Environmental quality of Korean coasts as determined by modified Shannon-Wiener evenness proportion. Environ. Monit. Assess., 170: 141-157.
10.1007/s10661-009-1222-019862634
Information
  • Publisher :The Korean Society of Oceanography
  • Publisher(Ko) :한국해양학회
  • Journal Title :The Sea Journal of the Korean Society of Oceanography
  • Journal Title(Ko) :한국해양학회지 바다
  • Volume : 24
  • No :1
  • Pages :170-186
  • Received Date : 2019-01-10
  • Revised Date : 2019-02-12
  • Accepted Date : 2019-02-18
  • DOI :https://doi.org/10.7850/jkso.2019.24.1.170
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