• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2000.12a
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• pp.28-37
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• 2000

• Proceedings of the Zoological Society Korea Conference
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• 1997.10b
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• pp.152.2-152
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• 1997

• Korean Journal of Ecology and Environment
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• v.40 no.2
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• pp.184-192
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• 2007

This study was to evaluate ecological health of Sumjin River during April${\sim}$June 2006. The ecological health assessments was based on the Index of Biological Integrity (IBI), Qualitative Babitat Evaluation Index (QHEI), and water chemistry. For the study, the models of IBI and QHEI were modified as 10 and 11 metric attributes, respectively. We also analyzed spatial patterns of chemical water quality over the period of $2002{\sim}2005$, using the water chemistry dataset, obtained from the Ministry of Environment, Korea. In Sumjin River, values of IBI averaged 33 (n= 12), which is judged as a "Fair${\sim}$Good" condition after the criteria of Barbour at al. (1999). There was a distinct spatial variation. Mean IBI score at Site 5 was estimated as 40, indicating a "Good" condition whereas, the mean at Site 3 was 23, indicating a "Poor${\sim}$Fair" condition. Habitat analysis showed that QHEI values in the river averaged 109 (n=6), indicating a "Marginal" condition after the criteria of Harbour et al. (1999). Values of BOD and COD averaged 1.3 mg $L^{-1}$ (scope: $0.9{\sim}1.8$ mg $L^{-1}$) and 3.3 mg $L^{-1}$ (scope: $2.8{\sim}4.0$ mg $L^{-1}$), respectively during the study. It was evident that chemical pollutions by organic matter were minor in the river. Total nitrogen (TN) and total phosphorus (TP) averaged 2.5 mg $L^{-1}$ and 0.067 mg $L^{-1}$, respectively, and the nutrients did not show large longitudinal gradients between the upper and lower reach. Overall, dataset of IBI, QHEI, and water chemistry suggest that river health has been well maintained, compared to other major watersheds in Korea and should be protected from habitat disturbance and chemical pollutions.

• Korean Journal of Ecology and Environment
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• v.39 no.3 s.117
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• pp.310-319
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• 2006

The objective of study was to evaluate ecological health from seven sampling locations of Yoogu Stream, one of the tributaries of Guem River, July and September 2005. The research approach was based on the Index of Biological Integrity (IBI) using fish assemblage and Qualitative Habitat Evaluation Index (QHEI) using fish assemblage. The models of IBI and QHEI were modified as 10 metric model and 11 metric model, respectively, for the regional applications. In Yoogu Stream, value of IBI were averaged 29.5 (n=7) which is judged as a 'fair condition'. The IBI model scores, at the site 3 and 7, were estimated as 23 and 24, indicating a 'poor${\sim}$fair condition' while, site 5 was estimated as 28, 'fair condition'. The remaining sites were between 31 and 34, indicating 'fair${\sim}$good condition'. According to the analysis of QHEI, the average was estimated as 136, 'fair${\sim}$good condition'. Spatial variation the QHEI were evident; site 1 and site 4 were 186 and 120 respectively, indicating an 'excellent and fair${\sim}$good conditions'. Site 3 was 69, fair condition while the other sites were 128${\sim}$156, good condition.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.238-238
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• 2023

최근 이상기후현상으로 홍수와 가뭄의 발생 빈도 증가 및 하천유지유량 부족 등 하천에서 유량 변동이 크게 나타나고 하천 환경 변화에 따른 수질오염, 갈수기 수질악화 등 하천에서 다양한 문제들이 발생하고 있다. 수질은 매개변수별 기준 농도와 측정 농도를 비교하여 평가하지만 직독식 측정 항목과 실험실 분석 항목 및 미측정 항목을 포함하기 때문에 수질 상태를 정확하게 나타내기 어렵다. 물리적, 화학적 및 생물학적 특성의 매개변수를 분석하여 수질을 평가하지만, 복잡한 수질 데이터를 단순하고 논리적으로 수질을 요약하기 위해 단일 값으로 매개변수를 통합한 수질지수가 개발되었다. 다양한 국가 및 기관에서 개발된 수질지수는 방법론, 최종산출 방법의 차이로 동일한 지점 및 기간에서 측정되는 자료를 각각의 수질지수 방법론을 적용하였을 때 상이한 점수 및 등급이 발생하여 유역 특성에 적절한 수질지수를 활용하는 것이 필요하며, 유량 변동이 고려되어야 한다. 따라서 본 연구에서는 기존의 수질지수 산정 매개변수를 유역 특성 및 관리기준을 고려하여 매개변수를 수정하고 매개변수별 중요도에 따른 가중치를 재산정하고 유량 인자를 추가하여 복합적인 하천 수질을 종합적으로 평가하고자 한다. 또한, 물리모형과 데이터 모형을 활용하여 기후변화에 따른 수질 변동 평가를 통해 수문학적 변화가 하천 수질에 미치는 영향을 평가하고자 한다.

• Korean Journal of Ecology and Environment
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• v.40 no.2
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• pp.254-263
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• 2007

The objective of this study was to evaluate biological water quality using fish assemblages in Nakdong River watershed. We selected 6 sites along the main axis of the river and evaluated the Index of Biological Integrity (IBI), Qualitative Habitat Evaluation Index (QHEI) and chemical water quality during July 2004${\sim}$March 2006. For the study, we applied the 10 metric IBI model, which was developed for national biological water quality criteria. Nakdong River's IBI value averaged 20.8 (n=14) during the study which means poor biological water quality. Physical habitat health at all sites, based on QHEI model, was measured as 110, indicating fair${\sim}$good condition. The habitat health varied depending on the locations sampled. Habitat health in sites 1 and 6 was judged as good, while the health in sites 3 and 4 was $poor{\sim}fair$. Especially, we found the metric values of $M1{\sim}M5$, M7, M10 were low in sites 3 and 4 compared to other sites. In these sites, thus, habitat restoration of substrate composition, riffles, and bank vegetation may be necessary. In the mean time, chemical water quality, based on BOD, COD, TSS, and nutrients, had no large spatial and temporal variations. Overall data analysis indicated that site 3 was largely impacted by the polluted-tributary, Keumho River and the downstreams showed better water quality due to the dilution of the polluted river water by Nam River and Hwang River.

• Korean Journal of Ecology and Environment
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• v.39 no.3 s.117
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• pp.320-330
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• 2006

An integrated health of a lotic ecosystem, Cho River, was evaluated by various approaches such as conventional water quality analysis, physical assessments of Qualitative Habitat Evaluation Index (QHEI), and the bioassay of Index of Biological Integrity (IBI) durin August${\sim}$September 2005. The IBI model used in the study was based on original multivariate metric model and then modified the metric attributes of the model for the regional application. Physical habitat health, based on the QHEI, was estimated using eleven metrics. During the study, values of IBI model averaged 36, which was judged as 'fair' to 'good' conditions. Spatial variations in the model values were evident: the headwater site (S1) was estimated as 48, indicating an 'excellent' condition, and the other sites were estimated 32${\sim}$38, 'good' condition. Values of the QHEI in the all sites averaged 148, which is judged as a good condition. The QHEI values varied from 120 (fair condition) to 199 (excellent condition) depending on the location of the stream. Site 5 (S5) was estimated as 'fair${\sim}$good' condition, while Site 7 (S7) was estimated as 'excellent' condition. The biological health, based on the IBI, reflected the habitat health. However, chemical conditions in terms of pH, turbidity, electric conductivity, dissolved oxygen (DO) did not make a difference in the biological health because of minor chemical differences among the locations.

• Journal of Environmental Impact Assessment
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• v.30 no.2
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• pp.61-74
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• 2021

In this study, we used marine environment assessment indices to evaluate impacts of various development projects on the marine environment. TheWaterQuality Index (WQI) was applied in the field of marine water quality and the Cleanup Index of Harmful Chemicals (CIHC), the Cleanup Index of Eutrophication (CIET), the Enrichment Factor(EF) were used in the field of marine sediment. In the field of marine benthic organisms, the Benthic Health Index (BHI) and the Benthic Pollution Index (BPI) were utilized. Each assessment index was calculated using the data observed in the development project, and its characteristics and usefulness were evaluated. The assessment method and criteria were clearly defined for WQI, CIHC, and BHI. Furthermore, through these indices, an integrated environment impact analysis was possible. Apart from the indices presented in this study, there are various indices that can be used for evaluating the marine environment. Therefore, it is important to utilize appropriate indices according to the characteristics of each project.

• Korean Journal of Ecology and Environment
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• v.42 no.2
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• pp.183-191
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• 2009

This study was to evaluate ecological health of Dongjin River in October 2007. The ecological health assessments was based on the Index of Biological Integrity (IBI), Qualitative Habitat Evaluation Index (QHEI), and water chemistry. For the study, the models of IBI and QHEI were modified as 8 and 11 metric attributes, respectively. We also analyzed spatial patterns of chemical water quality over the period of 2005${\sim}$2008, using the water chemistry dataset, obtained from the Ministry of Environment, Korea. In Dongjin River, values of IBI averaged 19 (n=3), which is judged as a "Fair" condition after the criteria of Barbour et al. (1999). There was a distinct spatial variation. IBI score at Site 1 was estimated as 28, indicating a "Good" condition whereas, IBI at Site 2 and Site 3 were as 18 and 12, indicating "Fair" and "Poor" condition, respectively. Habitat analysis showed that QHEI values in the river averaged 117 (n=3), indicating a "Fair${\sim}$Good" condition after the criteria of Barbour et al. (1999). Values of BOD and COD averaged 2.3 mg $L^{-1}$ (scope: 0.1${\sim}$8.9 mg $L^{-1}$) and 5.5 mg $L^{-1}$ (scope: 1.8${\sim}$12.6 mg $L^{-1}$), respectively during the study. Total nitrogen (TN) and total phosphorus (TP) averaged 2.7mg $L^{-1}$ and 0.127mg $L^{-1}$, respectively, and the nutrients showed large longitudinal gradients between the upper and lower reach. Overall, dataset of IBI, QHEI, and water chemistry showed that river health was a gradual decline at upstream to downstream. So, Dongjin River should be protected from habitat disturbance and chemical pollutions.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.358-358
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• 2011

수자원 관리 및 평가를 위하여 수자원, 환경 및 경제 자료들을 지표화 하여 이를 평가하는 연구가 활발히 진행중에 있다. 이는 수자원 관리를 위한 여러 가지 조건들을 통합하여 하나의 지표로 만들어 평가함으로써 객관적인 값을 도출할 수 있게된다. 또한 최근에는 기후변화가 심해짐에 따라 미래 수자원관리에 대한 중요성이 배가 되어가고 있는 실정이다. 기후변화는 지구상의 모든 물리적 및 생물학적 변동에 영향을 미치는 것으로 오늘날 인정되고 있으며(Sullivan and Huntingford, 2009), 현재 기후변화를 고려한 통합수자원관리지표의 개발도 국외에서는 활발히 진행중에 있다. 이에 본 연구에서는 물 부문 정책, 투자 및 적용에 대한 우선순위를 결정하는데 도움이 되며 국외에서 개발된 CVI(Climate Vulnerability Index, 기후취약성지수)에 대하여 분석을 실시하였다.