한국해양대학교

Detailed Information

Metadata Downloads

통합수질지표 개발을 위한 오염하천에서의 미생물, 조류 및 저서생물 군집의 유형화

DC Field Value Language
dc.contributor.author 이세은 -
dc.date.accessioned 2017-02-22T07:11:21Z -
dc.date.available 2017-02-22T07:11:21Z -
dc.date.issued 2005 -
dc.date.submitted 56823-03-29 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002176079 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/10414 -
dc.description.abstract The eventual goal of this syudy was to develop integrated water quality indices used for the effective wastewater management. As a first step to accomplish this goal, various polluted streams were pattern-recognized by analyzing microbial, algal and invertebrate communities through artificial neural networks (ANNs) techniques. The sampling sites were selected based on different sources of pollution: farming, livestock, domestic and industrial sites. Physico-chemical environmental factors were measured at all the sampling sites. Grouping of collected microbial and benthic macro-invertebrate communities revealed the impact of sources of pollution. Microbial taxa were diverse at the clean sites while microbial communities were tolerant at the polluted sites. SOM results showed that the sampling sites were essentially categorized into a few areas of SOM map: reference site-dominant area, polluted site-dominant area and mixed area of the two different sites. The eubacterial populations and their distribution in the SOM map appeared to be significantly affected by organic substrates and nutrients in the sites. If the identification of eubacterial communities were completed, more specific relations of the microbial communities with environmental and other biological data would be revealed. In macro-invertebrate communities, species richness was high and the taxa were diversely distributed at the clean sites. At the polluted sites, in contrast, a few species tolerant to organic pollution were dominantly present. The taxa occurring at the intermediate range of pollution were distributed differently depending upon the sources of pollution. For algal community analysis, the population was identified up to a genus level and the data showed a specific distribution according to the sampling sites and dates, to a certain extent. However, it may be possible to obtain more specific data useful for the community patterning if the population could be identified up to species level. Once the biological and environmental data are integratively processed using a neural network, multilayer receptron (MLP), a target integrative water quality index(e.g., species richness) will be developed. The index will be quite useful for an ecosystem-wise monitoring of the water quality status in various kinds of water bodies. -
dc.description.tableofcontents Ⅰ. 서론 1 Ⅱ. 문헌 연구 3 2.1 우리나라의 하천현황 3 2.2 수계환경에서의 저서무척추 생물 군집구조의 분석 4 2.3 수계환경에서 미생물군집구조 및 조류의 군집구조 분석 7 2.4 수리분석을 통합 효율적 통합수질지표 모델 개발 방법 확립9 2.4.1 Self-organizing mapping(SOM) 9 2.4.2 다층퍼셉트론을 이용한 군집과 환경과의 관계 11 2.4.3 통합수질지표모델개발 12 Ⅲ. 실험재료 및 실험방법 13 3.1 조사지점 13 3.2 이화학적 환경요인 조사 16 3.3 무기영양염류 농도 측정 17 3.4 미생물 군집분석 17 3.5 부착조류 조사 21 3.6 저서성 대형무척추동물 조사 21 3.7 SOM을 이용한 생물군집의 통합적 유형화 22 Ⅳ. 결과 및 고찰 23 4.1. 물리적 환경요인 23 4.1.1. 수온 23 4.1.2. 수심 24 4.1.3. 유속 25 4.2 화학적 환경요인 26 4.2.1 전기전도도 26 4.2.2 탁도 27 4.2.3 BOD5 28 4.2.4. COD 30 4.2.5. 총유기탄소량(TOC)과 용존유기탄소량(DOC) 31 4.2.6. 총인(TP) 32 4.2.7. 총유기질소(TKN) 34 4.2.8. 질산성질소(NO3--N) 35 4.2.9. 총질소(TN) 36 4.2.10. 암모니아성 질소(NH4-N) 37 4.3. 미소 생태계(Sediment 위 및 내부)의 군집구조 분석 38 4.3.1. 미생물 군집구조분석 38 4.3.2. 저서성 대형무척추동물 군집구조 49 4.3.3. SOM을 이용한 주요 환경 요인의 그룹핑 58 4.3.4. 군집자료를 이용한 그룹핑 60 4.3.4.1 미생물 군집 그룹핑 60 4.3.4.2 조류군집의 분석 및 그룹핑 67 4.3.4.3 저서생물 그룹핑 79 Ⅴ. 결론 82 참고문헌 83 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.title 통합수질지표 개발을 위한 오염하천에서의 미생물, 조류 및 저서생물 군집의 유형화 -
dc.title.alternative Patterning of Microbial, Algal and Macroinvertebrate Communities from Polluted Streams for Development of Integrative Water Quality Index -
dc.type Thesis -
dc.date.awarded 2005-02 -
Appears in Collections:
토목환경공학과 > Thesis
Files in This Item:
000002176079.pdf Download

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse