• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.174-189
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• 2015

The objective of this study was to reconstruct spatial information using the results of the investigation and evaluation of the health of the living organisms, habitat, and water quality at the investigation points for the aquatic ecosystem health of the Nakdong River basin, to support the rational decision making of the aquatic ecosystem preservation and restoration policies of the Nakdong River basin using spatial analysis techniques, and to present efficient management methods. To analyze the aquatic ecosystem health of the Nakdong River basin, punctiform data were constructed based on the position information of each point with the aquatic ecosystem health investigation and evaluation results of 250 investigation sections. To apply the spatial analysis technique, the data need to be reconstructed into areal data. For this purpose, spatial influence and trends were analyzed using the Kriging interpolation(ArcGIS 10.1, Geostatistical Analysis), and were reconstructed into areal data. To analyze the spatial distribution characteristics of the Nakdong River basin health based on these analytical results, hotspot(Getis-Ord Gi, $G^*_i$), LISA(Local Indicator of Spatial Association), and standard deviational ellipse analyses were used. The hotspot analysis results showed that the hotspot basins of the biotic indices(TDI, BMI, FAI) were the Andong Dam upstream, Wangpicheon, and the Imha Dam basin, and that the health grades of their biotic indices were good. The coldspot basins were Nakdong River Namhae, the Nakdong River mouth, and the Suyeong River basin. The LISA analysis results showed that the exceptional areas were Gahwacheon, the Hapcheon Dam, and the Yeong River upstream basin. These areas had high bio-health indices, but their surrounding basins were low and required management for aquatic ecosystem health. The hotspot basins of the physicochemical factor(BOD) were the Nakdong River downstream basin, Suyeong River, Hoeya River, and the Nakdong River Namhae basin, whereas the coldspot basins were the upstream basins of the Nakdong River tributaries, including Andong Dam, Imha Dam, and Yeong River. The hotspots of the habitat and riverside environment factor(HRI) were different from the hotspots and coldspots of each factor in the LISA analysis results. In general, the habitat and riverside environment of the Nakdong River mainstream and tributaries, including the Nakdong river upstream, Andong Dam, Imha Dam, and the Hapcheon Dam basin, had good health. The coldspot basins of the habitat and riverside environment also showed low health indices of the biotic indices and physicochemical factors, thus requiring management of the habitat and riverside environment. As a result of the time-series analysis with a standard deviation ellipsoid, the areas with good aquatic ecosystem health of the organisms, habitat, and riverside environment showed a tendency to move northward, and the BOD results showed different directions and concentrations by the year of investigation. These aquatic ecosystem health analysis results can provide not only the health management information for each investigation spot but also information for managing the aquatic ecosystem in the catchment unit for the working research staff as well as for the water environment researchers in the future, based on spatial information.

• Korean Journal of Environmental Biology
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• v.35 no.4
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• pp.533-544
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• 2017

In this study, the fauna of freshwater fish were investigated from March until October of 2016 in 24 independent streams in the Jeonnam and Jeonbuk provinces, which were flowing into the Yellow Sea. The health of the aquatic ecosystem in those streams was assessed through the biological and abiological character index (BAc index). During the surveyed period, a total of 4,127 individuals were collected; they belonged to 59 species of 44 genera in 18 families. The most dominant species identified was Zacco platypus, and 12 species were endemic species of Korea, including Rhodeus uyekii. The BAc index indicated a statistically significant correlation (p<0.01 or 0.05). The stage distribution of the aquatic ecosystem health assessment showed the highest rating of 41.7% at the "Fair" stage. The "Good" and "Poor" stages accounted for 20.8% while the "Excellent" stage took up 16.7%. It has been confirmed that the aquatic ecosystem health of independent streams is influenced more by the abiological character index as a consequence of geographical characteristics and artificial/natural limiting factors, than by the biological character index.

• Korean Journal of Ecology and Environment
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• v.43 no.3
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• pp.356-368
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• 2010

In this study, we applied approach of integrative star-plot area (SPA), chemical water quality and habitat conditions (QHEI) to diagnoze ecological conditions at the eight sampling sites of Sapkyo Stream. These outcomes were compared with biological health based on the Index of Biological Integrity (IBI) using fish assemblage. And then, we evaluated the integrative ecological health condition using the star-plot method. This approach based on the sum of all the star-plot areas over these water and habitat characteristics. It was developed to reflect an integrative assessment of the ecological health in the stream. The biological health, based on the model values of IBI indicating "fair-poor" condition according to the criteria. Physical habitat health, based on the QHEI, averaged 123 indicating a "good-fair" condition. Also, chemical health, based on simply BOD values indicating "poor grade" according to the criteria of the Ministry of Environment Korea (MEK). The SPA indicating that 50% of the all was impaired condition and the most sampling sites were downstream sites influenced by the point and non-point sources. Overall our results suggest that the ecological health impact was a combined effect of eutrophication and habitat degradations in the stream. The approach of SPA can be used as a tool to evaluate the integrative health of stream environment and to identify possible causes of observed effects.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.467-467
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• 2022

1990년대 후반부터 시작된 자연형 하천정비 사업은 기존의 수질보전정책 외에도 하천생태계에 대한 관심이 부각되는 계기로 작용하고 있다. 이 중 환경생태유량은 기존의 하천유지유량보다 확대된 개념으로 수생태계 건강성 회복을 위한 중요한 요소이다. 본 연구에서는 도시하천 수생태계 건강성 회복방안 마련을 위한 기초자료 마련을 위해 부산의 대표적인 도시하천인 온천천과 학장천을 대상으로 환경생태유량을 산정하였다. 환경생태유량은 하천의 물리적 특성 및 어류·유량을 조사하는 하천현장조사, 서식지적합도지수 산정의 과정을 통해 산정된다. 온천천과 학장천에서 각각 3개의 대표지점을 선정하고 각 지점별로 2회의 현장조사를 통해 각 지점에서의 수심, 유속, 하상재료, 어류 조성을 조사하였다. 조사결과를 바탕으로 붕어와 참갈겨니를 대표어종으로 선정하고 Instream Flow and Aquatic Systems Group(IFASG, 1986)에서 제시한 방법을 이용하여 서식지적합도지수를 산정한 후, 미국지질조사국의 물리적서식지모의시스템(PHABSIM)을 이용하여 하천별, 어종별 환경생태유량을 산정하였다. 온천천의 경우, 붕어와 참갈겨니 모두 약 0.7~0.8m³/s에서 가용서식지면적이 가장 크게 산정되어 일 60,000~70,000m³ 가량의 환경생태유량 공급이 필요한 것으로 나타났다. 학장천의 경우, 붕어는 약 0.6~0.7m³/s, 참갈겨니는 약 0.3~0.4m³/s에서 가용서식지면적이 가장 크게 산정되어, 각각 일 50,000~60,000m³, 25,000~35,000m³ 가량의 환경생태유량이 필요한 것으로 나타났다. 본 연구로부터 산정된 환경생태유량을 금번 관측유량 및 현재의 하천유지용수 공급계획량과 비교해보면 온천천에서는 일 15,000m³ 이상, 학장천에서는 어종에 따라 일 7,000m³ 이상의 추가유량 확보가 필요한 것을 알 수 있었다. 특히 학장천의 경우, 어종에 따른 환경생태유량의 차이가 크게 나타나 하천 구간별 유량조사를 통해 어종별 주요 서식지 구간 설정 및 관리가 필요할 것으로 판단된다.

• Journal of Environmental Impact Assessment
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• v.30 no.6
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• pp.355-360
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• 2021

As the domestic water management policy shifted from concentration-oriented water management to load management-centered Total Maximum Daily Load (TMDL), water quality and aquatic ecosystems brought changed. However, it was difficult to determine whether the water quality and the health of the aquatic ecosystem improved after the implementation of the TMDL due to changes in pollutant sources and discharge fluctuations ect, so the effect was analyzed using a log-linear model and biological indicators (Benthic Macroinvertebrates). As a result, BOD and T-P concentrations in the Jinwi River Watershed were reduced by 30% and 35%, showed the effect of improving water quality, however the benthic macroinvertebrates index (BMI) downgraded from grade D to grade E. Therefore, efforts to cultivate ecologicalrivers are necessary to upgrade the health of the aquatic ecosystem in the river watershed.

• River and Culture
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• v.5 no.4
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• pp.92-96
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• 2009

이번 호에서는 낙후된 수생태복원기술을 21세기 녹색성장사업으로 육성하며, 이를 통하여 수생태계의 건강성을 회복하고 국민의 삶의 질 향상에 기여함을 목표로 하고 있는 '수생태복원사업단'을 소개하는 글로 구성하였습니다.

• Korean Journal of Ecology and Environment
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• v.55 no.1
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• pp.60-75
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• 2022

The Bayesian algorithm model is a model algorithm that calculates probabilities based on input data and is mainly used for complex disasters, water quality management, the ecological structure between living things or living-non-living factors. In this study, we analyzed the main factors affected Korean Estuary Trophic Diatom Index (KETDI) change based on the Bayesian network analysis using the diatom community and physicochemical factors in the domestic estuarine aquatic ecosystem. For Bayesian analysis, estuarine diatom habitat data and estuarine aquatic diatom health (2008~2019) data were used. Data were classified into habitat, physical, chemical, and biological factors. Each data was input to the Bayesian network model (GeNIE model) and performed estuary aquatic network analysis along with the nationwide and each coast. From 2008 to 2019, a total of 625 taxa of diatoms were identified, consisting of 2 orders, 5 suborders, 18 families, 141 genera, 595 species, 29 varieties, and 1 species. Nitzschia inconspicua had the highest cumulative cell density, followed by Nitzschia palea, Pseudostaurosira elliptica and Achnanthidium minutissimum. As a result of analyzing the ecological network of diatom health assessment in the estuary ecosystem using the Bayesian network model, the biological factor was the most sensitive factor influencing the health assessment score was. In contrast, the habitat and physicochemical factors had relatively low sensitivity. The most sensitive taxa of diatoms to the assessment of estuarine aquatic health were Nitzschia inconspicua, N. fonticola, Achnanthes convergens, and Pseudostaurosira elliptica. In addition, the ratio of industrial area and cattle shed near the habitat was sensitively linked to the health assessment. The major taxa sensitive to diatom health evaluation differed according to coast. Bayesian network analysis was useful to identify major variables including diatom taxa affecting aquatic health even in complex ecological structures such as estuary ecosystems. In addition, it is possible to identify the restoration target accurately when restoring the consequently damaged estuary aquatic ecosystem.

• Korean Journal of Ecology and Environment
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• v.53 no.1
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• pp.1-10
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• 2020

The Stream/River Ecosystem Survey and Health Assessment has been carried out regarding the ecological health of the streams by the Ministry of Environment (MOE), South Korea. However, the sources of impairment of the stream ecosystem and the interactions between the sources, stressors, and the responses of impaired streams have not been taken into consideration. The purpose of this study is to propose the establishment of diagnosis systems for the impaired stream ecosystem because of the need to incorporate the same in the making of the policy to enable the recovery and improvement of the health of the impaired streams or river ecosystem. First, we define the concept of a diagnosis of the impaired stream or river ecosystem through a literature review. Second, through case studies [e.g., US CADDIS (Causal Analysis/Diagnosis Decision Information System), AUS. Eco Evidence, EU WFD (Water Framework Directive)], we try to develop the diagnosis system for the making of policy. In this study, the diagnosis system that is proposed consists of eight steps including the basic data collection, detecting or suspecting impairment, defining the impaired stream reach, identifying the biological impaired cases and listing the candidate causes, illustrating the interactive conceptual diagrams between stressors and responses, investigating the stressors-responses in the field, verifying causes and identifying the probable causes of the impaired cases, and summarizing and proposing the restoration of the streams. The results of this study will support and enable efficient decision-making for sustainable stream restoration and management based on the diagnosis of the probable causes for the impaired complex and the diverse stream ecosystem.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.464-464
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• 2022

건강한 수생태계 유지·관리를 위하여 다양한 수생생물을 활용한 각 분류군의 종별 서식지 적합도 지수 DB 구축의 필요성이 증대되고 있다. 대부분의 수생생물의 경우 문헌 연구를 통해 서식지 적합도 지수를 산정하기는 어려우므로 현장 모니터링 자료를 이용한 어류, 저서생물 등의 서식지 적합도 지수를 산정하여 하천 복원 및 수생생물의 서식에 필요한 생태유량 결정에 중요한 인자로 활용하고 있다. 국내에서 하천 건강성 평가 등을 통해 수계별 다양한 조사를 수행하고 있으나 대부분의 연구는 출현 종 분류 및 출현율 등에 국한되어 있다. 또한, 부족한 현장 모니터링 자료로 인해 서식지 적합도 지수를 산정하기 위한 객관적이고 과학적인 물리적 인자를 도출하기 어려운 실정이며, 이는 전문가의 경험을 바탕으로 한 주관적 판단으로 이어져 결과의 신뢰성 측면에서 한계가 있을 수 있다. 따라서, 수계별 장기적인 모니터링 및 자료 구축을 위한 연구가 필요하며, 기존 서식지 적합도 지수 산정에 관한 방법의 장단점을 명확히 파악하여 국내 하천환경 및 특성에 적합한 서식지 적합도 지수 구축이 반드시 선행되어야 할 것이다.

• Journal of Korea Water Resources Association
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• v.51 no.10
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• pp.863-874
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• 2018

The purpose of this study is to evaluate the future climate change impact on stream aquatic ecology health of Han River watershed ($34,148km^2$) using SWAT (Soil and Water Assessment Tool) and random forest. The 8 years (2008~2015) spring (April to June) Aquatic ecology Health Indices (AHI) such as Trophic Diatom Index (TDI), Benthic Macroinvertebrate Index (BMI) and Fish Assessment Index (FAI) scored (0~100) and graded (A~E) by NIER (National Institute of Environmental Research) were used. The 8 years NIER indices with the water quality (T-N, $NH_4$, $NO_3$, T-P, $PO_4$) showed that the deviation of AHI score is large when the concentration of water quality is low, and AHI score had negative correlation when the concentration is high. By using random forest, one of the Machine Learning techniques for classification analysis, the classification results for the 3 indices grade showed that all of precision, recall, and f1-score were above 0.81. The future SWAT hydrology and water quality results under HadGEM3-RA RCP 4.5 and 8.5 scenarios of Korea Meteorological Administration (KMA) showed that the future nitrogen-related water quality in watershed average increased up to 43.2% by the baseflow increase effect and the phosphorus-related water quality decreased up to 18.9% by the surface runoff decrease effect. The future FAI and BMI showed a little better Index grade while the future TDI showed a little worse index grade. We can infer that the future TDI is more sensitive to nitrogen-related water quality and the future FAI and BMI are responded to phosphorus-related water quality.