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

• Korean Journal of Environmental Biology
• /
• v.38 no.4
• /
• pp.714-723
• /
• 2020

This study was conducted to investigate the community stability and similarity of benthic macroinvertebrates in the Giran stream between August and September 2018, and compare results to those reported by Lee (2004). As relates to the total number of species in each taxon in 2018, 45 species were additionally discovered compared to the 2003 study; the number of EPT taxa increased by 14 species and OCH taxa increased by 18 species. The diversity and richness indexes increased while the dominance index tended to decrease. According to analysis of functional feeding groups, 11 more Gathering-collector species were found, making it the highest functional feeding group with 24 species. According to analysis of functional habitat groups, 15 more clinger species were found than in the past, making it the highest functional habitat group with 41 species. A community stability comparison showed that species belonging to 'Stability Group I' had the highest stability rate at 57.1% in 2003 and 61.5% in 2018. According to the biological water quality assessment, in 2018, the average water quality level at each survey site was 'Ia' and 'Very Good' in terms of environmental conditions. As a result of the similarity analysis between the survey points for the species that appeared, two large groups of similarities were classified (similarity group 1: 2003 sites, similarity group 2: 2018 sites).

• Journal of Wetlands Research
• /
• v.9 no.2
• /
• pp.57-69
• /
• 2007

This study focused on coastal water quality response to land-based and sediment pollution loads and estimation of the carrying capacity in Masan Bay using an ecological model with the data in summer of 2002. A residual current was simulated to have a slightly complicated pattern with ranging from 0.1 to 1.5 cm/s. In Masan Bay, pollutant materials cannot flow from the inner to the outer bay easily because of residual currents flow southward at surface and northward at the bottom. The simulation results of COD distribution showed high concentrations over 3 mg/L in the inner part of Masan Bay related pollutant discharge. For improvement seawater quality grade I in Masan Bay, it is necessary to reduce the organic and inorganic loads from point sources by more than 80%. For improvement seawater quality grade II, it is necessary to reduce the organic and inorganic loads from point sources by more than 50% and ameliorate severe polluted sediment. The carrying capacity for COD is 2.32 ton/day and 7.16 ton/day for each grade.

• Journal of the Korean Society for Marine Environment & Energy
• /
• v.6 no.1
• /
• pp.68-77
• /
• 2003

The Water quality of Namdae and Yeongok stream, located in the Kangnung City, and pollutants discharged to the east sea of Korea were investigated during april to November 2002 in order to understand the costal pollution phenomena. The water qualify grade of Namdae stream vary between II and V of water standard. On the other hand, that of Yeongok Stream is keeping I or II. The temporal and spacial variation of Namdae stream are higher than Yeongok stream. The water pollutants discharged to the east sea of Korea from Yeongok stream are lower 15.5 times for BOD, 2.6 times for COD, 1.7 times for T-N, 6.9 times for T-P than from Namdae stream, of which water flux are 1.4 times higher and contain much more of pollutants than Yeongok stream. It may have some effect on the costal ecosystem according to their pollutant flux.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.463-463
• /
• 2022

도시하천은 급속한 경제성장과 개발 등 여건변화에 따라 크게 변화되어왔다. 이에 하천은 본연의 모습과 가치를 잃고 인공적인 모습으로 변해 하천의 주요 기능인 자정작용, 생태계 건강성 유지 등의 기능을 잃고 도시 활동에 따른 오염물질에 노출되어가고 있는 실정이다. 이로 인한 부정적인 영향으로 도시민의 삶의 질과 만족도 또한 하락되고 있다. 본 연구에서는 부산의 대표하천인 수영강을 대상으로 도시하천 수질 개선을 위한 도시민의 지불의사를 추정하였다. 비시장가치를 추정하기 위해 조건부가치측정법(CVM, Contingent Valuation Method)을 적용하여 수질개선에 따른 지불의사(WTP, Willingness To Pay)를 파악하고 경제적 가치를 추정하였다. 가상시나리오는 EPA, water quality ladder의 개념을 이용하여 현재 수영강 수질이 오염된 물(4등급)이라고 가상시장을 설정하고 낚시가 가능한 수준(2등급)까지 개선을 시키고자 할 때의 지불의사를 물었다. 이때 지불수단은 기부금의 형태로 연 1회 향후 5년간 지불기간을 설정하였다. WTP 모형추정은 KDI에서 제시하고 있는 로지스틱분포 함수와 스파이크 모형을 사용하여 WTP를 추정하였다. 스파이크 모형의 추정결과 평균 지불의사액은 12,255원으로 부산광역시 전체 가구 수인 1,392,291가구(2019년)에 적용할 경우 향후 5년간 연 170억 원의 재원을 확보할 수 있는 것으로 나타났다. 지불의사 추정결과 수영강 인접 지역주민의 지불의사가 높게 추정되었고, 부산시민이 수영강을 자연과 생태보전 기능하천으로 인지하고 있음(56.5%)을 고려 할 때, 하천환경개선을 통한 지불의사의 상승은 도시하천 가치 향상이 될 수 있을 것으로 판단된다. 또한 도시민의 기대수준 충족과 더불어 도시하천 가치상승을 위한 부족한 재원까지도 조달 할 수 있는 방안의 기초를 마련 할 수 있을 것이라 판단된다.

• Journal of the Korean Society for Marine Environment & Energy
• /
• v.13 no.4
• /
• pp.279-287
• /
• 2010

To identify characteristics of the water quality at Goseong bay, we analyzed long term monitoring data collected at surface and bottom water which was accumulated during the period of 1987~2009. The result showed that the waters of Goseong bay represented mesotrophic level that is based on chlorophyll-a, DIP and DIN and seasonal average of COD that indicates level by the COD criteria. This analysis can be translated that the waters is comparatively clean even though the waters is in the closed bay that slowly diffuses influx mass. We also did the time series analysis, correlation analysis and regression analysis on the moving average of the water parameter at Goseong bay. According to the results, DIP showed a increasing trend as time passed while DIN was on a decreasing trend under the same condition. In the waters of Goseong bay, the phyto-plankton growth was shown to be limited by DIN concentration. The chlrophyll-a was at the peak in August, at $4.60{\mu}g/L$. As the seasonal average and index were the highest in November, it was understood that the balance of nutrient at Goseong bay was dependent more on inner factors, ie, mass farming of aquatic species and release of bottom sediment rather than on inflow of fresh water. Accordingly, it is needed to consider the balance of nutrient like DIP and DIN to manage the water quality or estuaries at Goseong bay.

• Environmental and Resource Economics Review
• /
• v.22 no.3
• /
• pp.521-545
• /
• 2013

This study applied choice experiment(CE) method(which is included in the stated preference method) to estimate values of some important attributes(i.e. type of estuary, water quality of river in estuary, water quality of sea in estuary, biodiversity level of estuary) of 4 major river(Hangang, Guemgang, Yeongsangang, Nakdonggang) estuaries in Korea. Although the multinomial logit model(MNL) is generally applied to analyse the CE data, testing for IIA assumption with the Hausman and McFadden test in MNL model shows that the IIA assumption in our data is rejected. Therefore, the heteroscedastic extreme value model(HEV) and the multinomial probit model(MNP) which are not based on the IIA assumption are used to analyse our CE data. As results, the coefficients and the elicited economic values of MNL model are seriously distorted if the IIA assumption is not satisfied in MNL model. The estimation results of MNP model show that the economic values are elicited as 352.3 billion won(95% C.I. 261.1 - 477.8 billion won) for natural estuary, 411.5 billion won(95% C.I. 338.5 - 525.5 billion won) for one grade improvement of river water quality in estuary, 358.9 billion won(95% C.I. 292.5 - 457.0 billion won) for one grade improvement of sea water quality in estuary, and 151.9 billion won(95% C.I. 99.0 - 218.6 billion won) for one grade improvement of biodiversity level of estuary. Therefore, the value of estuary is reached to 2,197.0 billion won(95% C.I. 1,721.0 - 2,879.9 billion won) if any natural estuary in 4 major rivers has good water quality of river in estuary(i.e. 2nd grade), good water quality of sea in estuary(i.e. 1st grade), and good biodiversity level of estuary.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.3
• /
• pp.1465-1472
• /
• 2011

Water quality surveys has been performed to establish water quality improvement strategy for the lake Pyeungtaek, and WASP model was used to simulate to identify the effect of water quality improvement according to the reduction of pollutant loadings for the upstream watersheds. Assuming that present loadings was continued up to the future, the water quality of the lake was found to be getting worse resulting from the increase of pollutants due to the planned future development. In this study, we made various scenarios to predict the future water quality, scenario 6 made a large contribution to improve the lake water quality compared to others. Even the scenario 6, COD concentration of year 2016 in the lake was examined to be under the 4th rate of water quality level for the lake (COD less than 8 mg/L), similar to year 2021. Even though additional reduction of loadings for the scenario 6 was made, the water quality in lake was a little improvement, and was though to be inappropriate action in the economic point of view.

• Water for future
• /
• v.26 no.3
• /
• pp.75-85
• /
• 1993

In this study, reach boundaries in QUAL2E Model were set by the locations of point-waste discharge or tributary input and measured or direct calculated hydrologic factors were used in computation as much as possible. South Platte Experimental River in Colorado, USA was selected as a target river and data collected during September 1991 and January 1992 periods were used for calibration and verification, respectively. Constituents modeled in this study are 5-day carbonaceous biochemical oxygen demand(CBOD$) and dissolved oxygen(DO). The good agreement was obtained between a calculated using this model and observed, less than 5% to DO and about 20% to CBOD$. According to the result of water-quality prediction, experimental river is classified as the 4th category by the criteria of environmental protection agency in the USA in 2001.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2017.05a
• /
• pp.533-537
• /
• 2017

우리나라는 2012년에 4대강 사업을 통하여 수자원확보를 통한 가뭄대응전략으로 16개의 대형보가 건설되었고 영산강에는 승촌보와 죽산보 2개의 보가 건설되었다. 보의 건설로 흐름은 급격히 감소하여 정체구역의 수역이 확장되면서 여름에서 초가을까지 녹조현상은 매년 지속적으로 발생하고 있으며, 최근 국민들은 안전한 농산물의 안정적인 생산에 요구가 점증함에 따라 농업용수질 오염문제가 범국가적 문제로 대두되고 있고, 그 중요도 및 심각성이 점차 커져가고 있다(한강유역환경청, 2007). 많은 량의 물을 농업용수로 사용하고 있는 영산강의 녹조현상 및 수질개선이 절실하다. 따라서 본 연구에서는 영산강의 승촌보와 죽산보의 건설과 수질오염총량관리제의 시행에 따른 부영양화특성의 변화를 파악하기 위하여 환경부, 국립환경과학원(2006)에서 개발한 한국형 부영양화지수(TSIko) 평가법을 이용하여 영산강유역의 12개 주요지점에 대하여 수집한 자료를 봄(3월~5월), 여름(6월~8월), 가을(9월~11월), 겨울(12월~2월)로 분리하고, 다시 4대강 사업의 영향을 검토하기 위하여 2013년을 전후하여 분리하였으며, 계절별 수질인자 COD, T-P, Chl-a 값을 이용하여 계절별 $TSI_{Ko}$를 산정하여 영양상태를 4개의 등급으로 구분하여 부영양화특성을 파악하였다.