This study analyzed the monitoring results of fishways at 16 weirs constructed on four large Rivers to provide data helpful for the operation and management of fishways. The average utilization rate of the fishways at the weirs was confirmed to be 64.9%. When comparing the dominant species in the mainstream and fishway monitoring results, differences were observed in 9 weirs (56.3%). This indicated that the species prevalent in the mainstream were not necessarily the ones most frequently using the fishways. The average number of individuals using the fishways per day was 336. When classifying the fish species using the fishway by life type, 92.3% were primary freshwater fish, and migratory species accounted for only 5.6%. Analysis based on the season of fishway usage revealed that an average or higher number of fish species used the fishways from May to October, with the highest number of individual users occurring from June to August. Between May and July, 80% of the fish species using the fishways were in their spawning period, while during other season, less than 40% were species that move during the spawning period. The fishways that showed a significant alignment between the spawning period and the fishway passage period were Rhinogobius brunneus, Leiocassis nitidus, Squalidus chankaensis tsuchigae, Pseudogobio esocinus, Acheilognathus rhombeus, and Pungtungia herzi, in that order. When comparing the fishway monitoring results of the Gangjeong-Goryeong Weir and the Dalseong Weir with the upper part water level of the weir, both the number of fish species and individuals using the fishway showed positive correlations with the upper part water level of the weir. This suggests that a higher water level of the weir increases the inflow discharge within the fishway, leading to increased use by fish (number of individuals in Gangjeong-Goryeong Weir, P<0.001; number of species in Dalseong Weir, P<0.05). This study summarized and analyzed the results of fishway monitoring at 16 weirs built on four large Rivers, considering fishway efficiency, operation and management, monitoring period, and regulation of water level in the upper part of the weir. It is thought that this will help understand the status of fish use in fishways on large River and aid the construction, operation, and management of fishways in the future.

하천시설물은 정보의 관리주체가 국가하천과 지방하천 등에 따라 달라서 통합되어 관리되지 못하고 있는 점, 설계 및 시공 단계의 정보화 축적이 미흡하여 시설물 정보의 망실이 우려되는 점 등 하천분야로 BIM 도입을 하기 위해서는 해결해야 할 과제들이 산재해 있다. 또한, 이로 인해 유지운영단계에서의 시설물 정보 활용 수준 역시 상당히 미흡한 편이다. 따라서, 하천시설물의 효과적인 유지 운영을 위해서는 표준분류체계에 따라 시설물 정보를 정리함으로 데이터의 일관성을 확보하고 효율성을 증대시킬 필요가 있다. 본 연구에서는 이러한 하천분야의 시설물 특성을 고려하여 하천분야의 BIM 정보모델 도입과 3차원 기반의 하천시설의 효율적인 유지 운영 전환을 위한 BIM 표준분류체계를 적용하는 방안을 제시한다.

Recently, in relation to climate change, many studies have been conducted to predict the potential habitat area and distribution range of tilapia and the suitability of habitat for each species. Most tilapia are tropical fish that cannot survive at water temperatures below 10 to 12°C, although some tilapia can survive at 6 to 8°C. This study predicted habitable areas and the possibility of spreading of habitat ranges of tilapia (Oreochromis niloticus and Oreochromis aureus) known to inhabit domestic streams. Due to climate change, it was found that habitats in the Geum River, Mangyeong River, Dongjin River, Seomjin River, Taehwa River, Hyeongsan River, and the flowing in East Sea were possible by 2050. In addition, it was confirmed that tilapia could inhabit the preferred lentic ecosystem such as Tamjin Lake, Naju Lake, Juam Lake, Sangsa Lake, Jinyang Lake, Junam Reservoir, and Hoedong Reservoir. In particular, in the case of tilapia, which lives in tributaries of the Geumho River, Dalseo Stream, and the Nakdong River, its range of habitat is expected to expand to the middle and lower of the Nakdong River system. Therefore, it is judged that it is necessary to prepare physical and institutional management measures to prevent the spread of the local population where tilapia currently inhabits and to prevent introduction to new habitats.

본 연구는 Fuzzy-Delphi법과 DEMATEL-ANP법으로 경관평가 모형을 구축한 뒤 하북성 형태시 소재 칠리하(七裏河)를 사례로 실증 분석한 결과이다. Delphi법에 따른 1차 설문지를 이용하여 최초 54개 지표를 40개 지표로 줄인 후 전문가 Fuzzy-Delphi법에 따른 2차 설문지 및 데이터 처리 결과 모든 평가 지표는 수렴기준에 도달하였다. 평가지표 중간값이 임계값보다 낮은 지표를 삭제한 뒤 최종적으로 22개 지표를 중심으로 도시 하천 호안지역 경관 평가체계를 구성하였다. 도출된 모델은 치수, 친수, 이수, 보수 등 4개 방면의 기능분류이며, 다시 기능적 측면, 안전성 측면, 경관적 측면, 생태적 측면, 사 회경제적 측면 등 5가지 기준으로 유형화되었다. 평가지표 중 영향력이 큰 상위 5개 요인은 수역경관 (C11), 건설투자(C19), 식물피복률(C16), 호안의 친수성(C10), 시각적 조화(C9) 순이었다. 그러나 인문 경관의 다양성(C12)요인의 가중치가 최하위임을 볼 때 도시 하천의 호안경관과 인문경관은 거의 배 제된 상태이며, 자연경관과 수역경관의 상호작용에 더 많은 관심을 기울이고 있음이 확인되었다. 한편 도시 경관평가 체계에서 5개 준칙층의 순서는 경관 미학성> 생태성 > 사회경제성 > 기능성 > 안 전성 순으로 나타났는데 이는 도시 내 수로의 호안 지역 경관의 전체적인 경관 감지와 흡인력을 반영 한 결과로 평가되었다. 칠리하 호안구역의 종합적 경관 평가치는 70.93점으로 만족스러운 수준이지 만 익수사고에 대비한 구조시설(C6) 인문경관의 다양성(C12) 그리고 역사문화 풍습의 구현(C22) 항 목에 있어서는 시급한 개선이 필요한 것으로 밝혀졌다.

본 연구는 수치지도에 표기되어 있는 하천명의 불일치 현황을 파악하였다. 이를 위해 실폭하천 연속수치지형도와 1:25,000 축척의 수치지형도, 하천관리지리정보시스템, 하천명 표지판 등 하천명과 관련된 다양한 정보를 비교･분석하였다. 연구지역은 충청남도 일대 7개의 중권역 유역이다. 연구 결과 연구지역 내에 22개 지점의 하천명이 지도 간에 불일치하는 것으로 확인되었다. 주요한 불일치 유형은 두 가지로 구분하였다. 하나는 하천 전체의 이름이 상이한 경우이고, 다른 하나는 하천의 상류 또는 하류에서 본류와 지류의 이름이 서로 바뀐 경우이다. 하천명의 불일치는 하천명의 오기에 의해 발생하고 있었으며, 이러한 오기는 자료의 유형과 관계없이 발견되었다. 오기 사례 수는 실폭하천 연속수치지형도에서 가장 많았고, 하천관리지리정보시스템에서 가장 적었다. 연구의 결과는 다른 지역에서도 하천명 오기 가능성을 조사할 필요가 있음을 시사한다. 이 연구는 연구지역의 하천명을 수정한 실폭하천 연속수치지형도를 제시하였다.

In stream ecosystem assessment, RIVPACS, which makes a simple but clear evaluation based on macroinvertebrate community, is widely used. In this study, a preliminary study was conducted to develop a RIVPACS-type model suitable for Korean streams nationwide. Reference streams were classified into two types (upstream and downstream), and a prediction model for macroinvertebrates was developed based on each family. A model for upstream was divided into 7 (train): 3 (test), and that for downstream was made using a leave-one-out method. Variables for the models were selected by non-metric multidimensional scaling, and seven variables were chosen, including elevation, slope, annual average temperature, stream width, forest ratio in land use, riffle ratio in hydrological characteristics, and boulder ratio in substrate composition. Stream order classified 3,224 sites as upstream and downstream, and community compositions of sites were predicted. The prediction was conducted for 30 macroinvertebrate families. Expected (E) and observed fauna (O) were compared using an ASPT biotic index, which is computed by dividing the BMWPK score into the number of families in a community. EQR values (i.e. O/E) for ASPT were used to assess stream condition. Lastly, we compared EQR to BMI, an index that is commonly used in the assessment. In the results, the average observed ASPT was 4.82 (±2.04 SD) and the expected one was 6.30 (±0.79 SD), and the expected ASPT was higher than the observed one. In the comparison between EQR and BMI index, EQR generally showed a higher value than the BMI index.

Urban areas in watersheds increase the impervious surface, and agricultural areas deteriorate the water quality of rivers due to the use of fertilizers. As such, anthropogenic land use affects the type, intensity and quantity of land use and is closely related to the amount of substances and nutrients discharged to nearby streams. Riparian vegetation reduce the concentration of pollutants entering the watershed and mitigate the negative impacts of land use on rivers. This study analyzes the data through correlation analysis and regression analysis through point data measured twice a year in spring and autumn in 21 selected damaged tributary rivers within the Han River area, and then uses a structural equation model to determine the area land use. In the negative impact on water quality, the mitigation effect of riparian vegetation was estimated. As a result of the correlation analysis, the correlation between the agricultural area and water quality was stronger than that of the urban area, and the area ratio of riparian vegetation showed a negative correlation with water quality. As a result of the regression analysis, it was found that agricultural areas had a negative effect on water quality in all models, but the results were not statistically significant in the case of urban areas. As a result of the model estimated through the structural equation, BOD, COD, TN, and TP showed a mitigation effect due to the accumulation effect of river water quality through riparian vegetation in agricultural areas, but the effect of riparian vegetation through riparian vegetation was found in urban areas. There was no These results were interpreted as having a fairly low distribution rate in urban areas, and in the case of the study area, there was no impact due to riparian forests due to the form of scattered and distributed settlements rather than high-density urbanized areas. The results of this study were judged to be unreasonable to generalize by analyzing the rivers where most of the agricultural areas are distributed, and a follow-up to establish a structural equation model by expanding the watershed variables in urban areas and encompassing the variables of various factors affecting water quality research is required.

The community temperature index (CTI) reflects the temperature and environmental preferences of the community. We investigated the distribution patterns of major aquatic insect assemblages (Ephemeroptera, Plecoptera, and Trichoptera; EPT) based on CTI in streams of South Korea. We selected unpolluted 151 study sites at upper streams (less than 3rd) with less than 1.5 mg L-1 of biochemical oxygen demand. Study sites were clustered into six groups based on the similarities of their EPT composition. All three orders showed a continuous decrease in the number of species as CTI increased, especially in Plecoptera. In addition, the functional feeding groups were also significantly changed according the CTI changes. Temperature tolerance range of each group’s indicator species varied according to the CTI of the group. Finally, changes of CTI reflected differences of EPT assemblages according to the differences of environmental condition including temperature. Therefore, CTI can be applied to the evaluation and preservation of stream ecosystems and prediction of community changes due to climate change.

Anthropogenic disturbances on freshwater ecosystem are known to degrade biodiversity, especially on fish assemblage. In this study, we have conducted fish surveys to identify impact of a bridge construction on fish assemblages. A total of eight study sites were surveyed in the Danjang and the Dong Stream in southern part of South Korea from June to November in 2021. The fish samplings were carried out five times, using cast-nets (10×10 mm mesh size), scoop-nets (4×4 mm, 5×5 mm mesh size), set-nets (10×10 mm mesh size), and fish traps (3×3 mm mesh size), along with the Stream/River Ecosystem Survey and Health Assessment by the Ministry of Environment of Korea and basic water quality measurement. Also, we applied the species diversity index and length-weight relationship regressions on certain species to identify interspecific growth rate differences in accordance with study sites. As a result, a total of 782 individuals, 23 species and 10 families were collected. The dominant species was Zacco Koreanus and relative abundance was 50.89%. When applying the length-weight relationship regressions on certain species, the ‘b’ value for Z. Koreanus was lower at the downstream points than at the upstream points of the construction site. In addition, when comparing to the results of the past survey, relative density of demersal fish at the upstream and downstream points decreased from 26% to 1.4%, and from 18% to 6.3%, respectively. In conclusion, it is considered that bridge construction negatively affects the habitat of fishes, especially on demersal fishes. Therefore, appropriate conservation efforts such as installation of silt protector and sand sedimentation pond are needed to alleviate the disturbance in habitat such as occurrence of turbidity and destruction of micro-habitats.

연구대상 해역은 노량수로를 중심으로 서측에 광양만 권역(여수해협 포함), 동측에 진주만 권역(강진만, 사천만 포함)이 위치하 고, 연구대상 해역에 위치한 여러 하천에서 유출되는 유출수가 이들 만으로 유입되고 있으며, 특히 홍수시에는 광양만 권역은 섬진강의 하천유출수가, 진주만 권역은 가화천(남강댐 방류)의 하천유출수가 대량으로 유입되고 있다. 광양만 권역과 진주만 권역은 노량수로라는 협수로로 연결되어 있으며, 섬진강과 가화천의 하천유출수 또한 노량수로를 통해 서로 영향을 주고 있다. 연구대상 해역에 위치한 섬진강 과 가화천을 포함한 51개 하천의 하천유출수로 인한 평수시와 50년빈도 홍수시의 해수교환율, 체류시간 특성을 입자추적 실험을 통해 파 악하고자 하였다. 또한 홍수시 섬진강과 가화천의 하천유출수가 미치는 영향을 파악하기 위한 실험을 추가로 수행하였다. 수치실험 결과, 평수시와 홍수시 모두 광양만 권역에 투하한 입자는 노량수로를 통해 진주만 권역으로 이동하는 것으로 나타났고, 노량수로를 통해 진주 만 권역에서 광양만 권역으로 이동하는 입자는 상대적으로 작은 것으로 나타났다. 30일 후 각 실험안별 해수교환율은 광양만 권역은 44.40~67.21%로 나타났고, 진주만 권역은 각각 50.37~73.10%로 나타났고, 각 실험안별 평균 체류시간은 광양만 권역은 7.07~15.36일로 나타 났고, 진주만 권역은 6.45~12.75일로 나타났다. 그리고 홍수시에 해수교환을은 증가하고, 체류시간은 감소하는 것으로 나타났다. 광양만과 진주만 권역에서의 해수순환 구조를 살펴보기 위해 두 폐쇄성 해역에 대해서 7개 내부 영역과 5개 외부 영역에 대한 30일 동안의 단면유 량 flux를 산정하였다. 그 결과, 평수시와 홍수시 모두 전반적으로 광양만 권역에서 진주만 권역으로 유량 flux가 이동하는 것으로 나타났 다. 홍수시 유량을 적용할 경우 연구대상 해역의 유량 flux의 주 흐름 경로는 섬진강 하천유출수가 여수해협을 거쳐 외해로 이동하는 흐름 과 가화천 하천유출수가 사천만, 진주만, 대방수로를 거쳐 외해로 이동하는 흐름으로 나타났다.

The clear-water phase (CWP) is a notable limnological phenomenon in freshwater systems caused by predatory interactions between large filter-feeding zooplankton and phytoplankton. However, the mechanisms and factors that influence the extent of CWP, particularly in complex water systems with both fluvial and lacustrine characteristics, remain poorly understood. The present study evaluated CWP occurrence patterns at different sites in a large reservoir located in a temperate monsoon region (Lake Paldang, Korea); the relationships among factors associated with CWP occurrence, such as transparency, zooplankton diversity, and chlorophyll a concentration were investigated. Transparency exhibited significant correlations with precipitation and retention time, as well as the relative abundance of zooplankton (p<0.01), suggesting that a change in the retention time due to precipitation can alter CWP. Data collected before and after CWP occurrence were analyzed using paired t-test to determine variations in CWP occurrence based on the water system characteristics. The results demonstrated that various factors were associated with CWP occurrence in the fluvial-type and lacustrine-type sites. The correlation between zooplankton biomass and transparency was stronger in the lacustrine-type sites than in the fluvial-type sites. The lacustrine-type sites, where cladoceran emergence is common and is associated with long retention times, favored CWP occurrence. The results suggest that lacustrine-type sites, which are conducive to zooplankton development and have relatively long retention times, enhance CWP occurrence. Furthermore, CWP occurrence was notable in spring, and the present study revealed that site-specific CWP could occur throughout the year, regardless of the season.

Algal bloom is an ongoing issue in the management of freshwater systems for drinking water supply, and the chlorophyll-a concentration is commonly used to represent the status of algal bloom. Thus, the prediction of chlorophyll-a concentration is essential for the proper management of water quality. However, the chlorophyll-a concentration is affected by various water quality and environmental factors, so the prediction of its concentration is not an easy task. In recent years, many advanced machine learning algorithms have increasingly been used for the development of surrogate models to prediction the chlorophyll-a concentration in freshwater systems such as rivers or reservoirs. This study used a light gradient boosting machine(LightGBM), a gradient boosting decision tree algorithm, to develop an ensemble machine learning model to predict chlorophyll-a concentration. The field water quality data observed at Daecheong Lake, obtained from the real-time water information system in Korea, were used for the development of the model. The data include temperature, pH, electric conductivity, dissolved oxygen, total organic carbon, total nitrogen, total phosphorus, and chlorophyll-a. First, a LightGBM model was developed to predict the chlorophyll-a concentration by using the other seven items as independent input variables. Second, the time-lagged values of all the input variables were added as input variables to understand the effect of time lag of input variables on model performance. The time lag (i) ranges from 1 to 50 days. The model performance was evaluated using three indices, root mean squared error-observation standard deviation ration (RSR), Nash-Sutcliffe coefficient of efficiency (NSE) and mean absolute error (MAE). The model showed the best performance by adding a dataset with a one-day time lag (i=1) where RSR, NSE, and MAE were 0.359, 0.871 and 1.510, respectively. The improvement of model performance was observed when a dataset with a time lag up of about 15 days (i=15) was added.

Pilot-scale coagulation and sedimentation processes were operated to investigate the T-P (Total phosphorus) removal efficiency. A multiple regression model was also derived to predict the water quality improvement effect with river water characteristics. The inflow rates for the pilot-scale facility were 157–576 m3/day, and the coagulant doses were in the range of 13.7–58.5 mg/L (average 38.9 mg/L) for PAC (Poly alum chloride) and 16.5–62.1 mg/L (average 36.0 mg/L) for alum. The results found that the influent BOD (Biochemical oxygen demand) and T-P concentrations were 4.9 mg/L and 0.115 mg/L, and the removal efficiencies were 52.7% and 59.4%, respectively. T-P removal efficiencies on wet weather days were higher by 10% than dry weather days because influent solids influenced T-P's coagulation process. The pH of river water was 6.9–7.8, and the average pH was 7.3. Although the pH variation was not significant, the trend showed that the treatment efficiency of T-P and PO4-P removal increased. Thus, the pH range considered in this study seems to be appropriate for the coagulation process, which is essential for phosphorous removal. The T-P removal efficiencies were 19.6–93.3% (average 59.2%) for PAC and 16.4–98.5%(average 55.9%) for alum; thus, both coagulants showed similar results. Furthermore, the average coagulant doses were similar at 42.4 mg/L for PAC and 41.3 mg/L for alum. When the T-P concentration of the effluent was compared by the [Al]/[P] ratio, the phosphorus concentration of the treated water decreased with an increasing [Al]/[P] ratio, and the lowest T-P concentration range appeared at the [Al]/[P] ratio of 10–30. A seasonal multiple regression analysis equations were derived from the relationships between 10 independent and dependent variables (T-P concentration of effluent). This study could help lake water quality maintenance, reduce eutrophication, and improve direction settings for urban planning, especially plans related to developing waterfront cities.

신천의 어류 군집 특성과 하천의 건강성을 밝히기 위해 2019년 4월부터 10월까지 조사를 시행하였다. 조사기간 동안 23개 지점에서 채집된 어류는 12과 30종 3,677개체였다. 우점종은 피라미(Zacco platypus, 28.4%), 아우점종은 대륙송사리(Oryzias sinensis, 13.6%), 그 다음으로 참갈겨니(Zacco koreanus, 11.8%), 버들치(Rhynchocypris oxycephalus, 11.7%), 붕어(Carassius auratus, 9.6%), 참붕어(Pseudorasbora parva, 7.9%) 등의 순으로 우세하게 출현하였다. 출현 종 중 한국고유종은 10종(33.3%)이었고, 외래종은 이스라엘잉어(Cyprinus carpio (Islaeli type), 떡붕어(Carassius cuvieri), 배스(Micropterus salmoides), 구피(Poecilia reticulata), 플래티(Xiphophorus maculatus) 5종(16.7%)이었으며, 육봉형 어류는 둑중개(Cottus koreanus)와 밀어(Rhinogobius brunneus) 2종(6.7%), 기후 변화 민감종은 둑중개 1종(3.3%)이 출현하였다. 어류 군집분석 결과, 신천본류와 수동천, 청담천은 우점도는 낮고 다양도는 높았으며, 동두천과 상패천은 우점도는 높고 다양도는 낮았다. 하천건강성은 최상류와 지류인 수동천이 매우 좋음, 좋음이었으나 상류부는 보통, 중·하류부는 나쁨, 매우 나쁨으로 나타났다. 수질도 중류부터 하류까지 대부분 나쁨 또는 매우 나쁨이었고 지류 수동천만 매우 좋음이었다. 따라서 수질이 어류서식에 큰 영향을 미치면서 결국 하천건강성에 큰 영향을 주는 것으로 판단되었다. 연도별 신천의 수질은 점점 좋아지는 경향을 보였으며 외래종의 도입은 매우 부정적인 요인이었다. 신천의 하천건강성을 향상시키기 위해서는 수질개선과 더불어 외래어종의 관리가 요구된다.

유사한 시기에 조사된 다른 위도의 저서성대형무척추동물 군집 구조의 시공간적 차이를 비교한 결과, 평창 조사지역에서는 3문 5강 12목 44과 69분류군 13,042개체, 완도 조사지역에서는 4문 5강 12목 37과 52분류군 8,887개체가 채집되었다. 평창이 완도보다 다양도와 균등도 또한 높게 나타났다. 우점종은 평창에서는 두점하루살이로 나타났고, 완도에서는 길쭉하루살이로 서로 달랐다. 집괴 분석 결과 평창과 완도 조사지역의 군집 특성이 명확하게 나누어졌으며 지역 내에서는 대체로 계절성의 영향이 컸다. 지표종 분석에서는 총 4종의 지표종이 선정되었으며 대체로 해당 조사시기 및 지점에만 나타난 종이 선정되었다. 기능적 군집으로는 주워 먹는 무리인 깔따구류를 제외하였을 때 평창 조사지점에서는 긁어먹는 무리가 가장 많았다. 완도 조사지점에서는 주워 먹는 무리가 가장 많았으며 평창 조사지역에 비해 걸러먹는 무리의 비율이 더 높았다. 군집 온도지수 산출 결과 평창이 9.8℃, 완도가 11.0℃으로 평창의 군집이 더 낮은 온도를 선호하는 것으로 나타났다. 이는 서식지 온도 특성이 저서성대 형무척추동물 군집 구성에 크게 영향을 미치고 있음을 반영해 주었다.