• 한국지리정보학회지
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• 제22권2호
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• pp.82-96
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• 2019

본 연구는 금강유역을 대상으로 SWAT(Soil and Water Assessment Tool)을 이용하여 유역 수문 및 수질에 대한 유역건전성 (Watershed Healthiness)을 평가하였다. 유역 수문과 수질에 대한 건전성은 다변수 정규분포를 이용하여 0(불량)에서 1(양호)의 범위로 산정하였다. 유역 건전성 평가에 앞서, SWAT 수문 검보정 결과 5개 지점에 대한 11년(2005~2015) 동안의 하천유출량의 Nash-Sutcliffe 모델효율(NSE)은 0.50~0.77이었고, 3개 지점에 대한 suspended solid(SS), total nitrogen(T-N), and total phosphorus(T-P)의 결정계수($R^2$)는 각각 0.67~0.94, 0.59~0.79, 0.61~0.79이었다. 총 24년(1985~2008)에 대한 토지이용변화에 따른 유역 건전성 분석을 위하여 1985년, 1990년, 1995년 2000년, 2008년 5개의 토지이용자료를 준비하였다. 기준년도인 1985년 대비 2008년 SWAT 총유출은 불투수면적의 증가로 40.6% 증가하였고, 토양수분과 기저유출은 각각 6.8%, 3.0 % 감소하였으며, SS, T-N, T-P는 특히 농업활동으로 인해 각각 29.2%, 9.3%, 16.7% 증가하였다. 1985년 토지이용조건 대비 2008년의 유역 수문과 수질의 건전성은 각각 1에서 0.94와 0.69로 감소하였다. 본 연구의 결과는 과거 자연상태 대비 인간활동에 의한 유역 환경변화를 감지할 수 있을 것으로 판단된다.

• 대한토목학회논문집
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• 제28권6B호
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• pp.653-663
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• 2008

본 연구에서는 안성천 공도수위관측소 상류유역을 대상으로 SWAT(Soil and Water Assessment Tool) 모형을 이용하여 현재의 유역 수문환경조건을 보다 현실적으로 분석하기 위해서 기상, 수문 자료와 점오염원 운영자료, 저수지의 방류량 자료 및 경작관리 형태의 자료를 구축하여 후속연구인 "미래 기후변화 및 토지이용 변화에 따른 안성천 유역 수문-수질 변화 분석 (II)"의 기본 자료로 활용하는데 목적이 있다. 유역 현실에 보다 가까운 분석을 위해 유역특성 자료인 점오염원 운영자료, 저수지의 방류량 자료 및 경작관리 형태의 자료를 구축, 분석한 후 모형의 검 보정을 실시하였다. 유역 특성 자료에 따른 분석 결과, 경작관리의 경우 농경지로 인한 수질 부하량의 경향과 흐름이 바뀌게 되며, 저수지 적용자료 적용시는 4-5월 시기의 관개를 위하여 방류를 시도한 패턴을 확인 할 수 있었다. 또한 환경기초시설, 경작관리를 미적용 및 적용시 약 10%의 하천수질 모의결과 차이가 발생하기 때문에 유역의 실제적인 상황에 근접하게 적용하기 위해서는 대상유역내의 정확한 자료의 구축과 적용이 중요하다고 판단되며, 유역 특성 자료를 통한 검보정 결과는 (II) 연구에서 기후변화와 토지이용에 따른 유역 수문-수질 변화 분석에 활용되어 보다 신뢰도 높은 결과를 도출 할 수 있을 것으로 판단된다.

• 한국물환경학회지
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• 제24권4호
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• pp.488-498
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• 2008

Soil and Water Assessment Tool (SWAT) model have been widely used in simulating hydrology and water quality analysis at watershed scale. The SWAT model extracts topographic feature using the Digital Elevation Model (DEM) for hydrology and pollutant generation and transportation within watershed. Use of various DEM cell size in the SWAT leads to different results in extracting topographic feature for each subwatershed. So, it is recommended that model users use very detailed spatial resolution DEM for accurate hydrology analysis and water quality simulation. However, use of high resolution DEM is sometimes difficult to obtain and not efficient because of computer processing capacity and model execution time. Thus, the SWAT Topographic Feature Extraction Error (STOPFEE) Fix module, which can extract topographic feature of high resolution DEM from low resolution and updates SWAT topographic feature automatically, was developed and evaluated in this study. The analysis of average slope vs. DEM cell size revealed that average slope of watershed increases with decrease in DEM cell size, finer resolution of DEM. This falsification of topographic feature with low resolution DEM affects soil erosion and sediment behaviors in the watershed. The annual average sediment for Soyanggang-dam watershed with DEM cell size of 20 m was compared with DEM cell size of 100 m. There was 83.8% difference in simulated sediment without STOPFEE module and 4.4% difference with STOPFEE module applied although the same model input data were used in SWAT run. For Imha-dam watershed, there was 43.4% differences without STOPFEE module and 0.3% difference with STOPFEE module. Thus, the STOPFEE topographic database for Soyanggang-dam watershed was applied for Chungju-dam watershed because its topographic features are similar to Soyanggang-dam watershed. Without the STOPFEE module, there was 98.7% difference in simulated sediment for Chungju-dam watershed for DEM cell size of both 20 m and 100 m. However there was 20.7% difference in simulated sediment with STOPFEE topographic database for Soyanggang-dam watershed. The application results of STOPFEE for three watersheds showed that the STOPFEE module developed in this study is an effective tool to extract topographic feature of high resolution DEM from low resolution DEM. With the STOPFEE module, low-capacity computer can be also used for accurate hydrology and sediment modeling for bigger size watershed with the SWAT. It is deemed that the STOPFEE module database needs to be extended for various watersheds in Korea for wide application and accurate SWAT runs with lower resolution DEM.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.82-84
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• 2003

Watershed boundaries and flow paths within the watershed are the most important factors required in watershed analysis. Most often the derivation of watershed boundaries and stream network and flow paths is based on topographical maps but spatial variation of flow direction is not clearly understandable using this method. Water resources projects currently use 1: 50, 000-scale ground survey or aerial photography-based topographical maps to derive watershed boundary and stream network. In basins, where these maps are not available or not accessible it creates a real barrier to watershed geo-spatial analysis. Such situations require the use of global datasets, like GTOPO30. Global data sets like ETOPO5, GTOPO30 are the only data sets, which can be used to derive basin boundaries and stream network and other terrain variations like slope aspects and flow direction and flow accumulation of the watershed in the absence of topographic maps. Approximately 1-km grid-based GTOPO 30 data sets can derive better outputs for larger basins, but they fail in flat areas like the Karkheh basin in Iran and the Amudarya in Uzbekistan. A new window in geo-spatial hydrology has opened after the launching of the space-borne satellite stereo pair of the Terra ASTER sensor. ASTER data sets are available at very low cost for most areas of the world and global coverage is expected within the next four years. The DEM generated from ASTER data has a reasonably good accuracy, which can be used effectively for hydrology application, even in small basins. This paper demonstrates the use of stereo pairs in the generation of ASTER DEMs, the application of ASTER DEM for watershed boundary delineation, sub-watershed delineation and explores the possibility of understanding the drainage flow paths in irrigation command areas. All the ASTER derived products were compared with GTOPO and 1:50,000-based topographic map products and this comparison showed that ASTER stereo pairs can derive very good data sets for all the basins with good spatial variation, which are equal in quality to 1:50,000 scale maps-based products.

• Ecology and Resilient Infrastructure
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• 제6권1호
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• pp.23-33
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• 2019

내성천은 경북 북부지역을 흐르는 모래하천으로 계절적 변동이 큰 수문학적 특성에 반응하여 발달하는 모래 하상의 역동성과 이른바 '화이트 리버'라고 하는 경관상 고유성으로 대표되는 하천이다. 하지만 2010년부터 영주댐이 건설되기 시작하고 2015년 전후로 식생이 광범위하게 활착하는 등 하천 변화가 발생하였다. 본 논문의 목적은 하천 변화의 원인이 될 수 있는 기후, 수문, 수질의 변화를 분석하고, 이에 따른 하천 변화의 가능성을 검토하기 위함이다. 분석 결과, 2015년에 1982년 다음으로 적은 강우량이 발생하였으며 이로 인해 여름철 첨두유량은 50년래 최저를 기록하였다. 내성천의 유사량 특성은 상하류가 크게 다르지 않았으나, 댐 건설과 무관하게 내성천의 연 최저수위가 지속적으로 감소하고 있었음을 확인하였다. 이는 간헐적 가뭄과 수질의 변화가 하천식생의 활착에 유리하게 작용하고, 이에 따른 물리적 변화가 하도 및 식생 활착에 영향을 준 것으로 추정된다. 그러므로 하천 변화의 원인 분석을 위해서는 하천 식생 변화와 연계한 다각적인 모니터링이 필요함을 확인하였다.

• 한국환경농학회지
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• 제33권1호
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• pp.37-43
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• 2014

BACKGROUND: Water quality data are collected less frequently than flow data because of the cost to collect and analyze, while water quality data corresponding to flow data are required to compute pollutant loads or to calibrate other hydrology models. Regression models are applicable to interpolate water quality data corresponding to flow data. METHODS AND RESULTS: A regression model was suggested which is capable to consider flow and time variance, and the regression model coefficients were calibrated using various measured water quality data with genetic-algorithm. Both LOADEST and the regression using genetic-algorithm were evaluated by 19 water quality data sets through calibration and validation. The regression model using genetic-algorithm displayed the similar model behaviors to LOADEST. The load estimates by both LOADEST and the regression model using genetic-algorithm indicated that use of a large proportion of water quality data does not necessarily lead to the load estimates with smaller error to measured load. CONCLUSION: Regression models need to be calibrated and validated before they are used to interpolate pollutant loads, as separating water quality data into two data sets for calibration and validation.

• 생태와환경
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• 제46권3호
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• pp.343-359
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• 2013

우리나라 저수지에서 호안 환경의 특성을 파악하기 위하여, 수위변동폭과 이용 목적에 따라서 35개 저수지를 선정하여 지형, 수문, 수질 및 토양 환경요인을 조사하여 이들 사이의 관계를 분석하고 환경 특성에 따라 저수지의 유형을 구분하였다. 저수지의 지형적, 수문적 특성은 그 조성된 곳의 환경과 크기에 따라서 다양하였다. 저수지의 연수위변동폭은 1~27 m로서 변이가 컸다. 저수지의 수질은 대부분 중영양 혹은 부영양 상태이었다. 호안의 토양 환경은 모래 함량이 많았다. 저수지의 수위변동폭, 빈도 및 기간은 저수지의 이용 목적에 따라서 독특한 특성을 보였다. 홍수조절용 저수지는 수위변동 폭이 크고 빈도는 낮았으며 수력발전용 저수지는 수위변동 폭이 크고 빈도가 높았다. 회귀분류 나무(CART) 분석 결과에 의하면 저수지의 수질은 수심, 수위변동폭 및 고도에 의하여 구분되었다. 주요인분석(PCA)의 결과에 의하면 환경요인에 의하면 저수지의 유형은 저수지의 크기, 수위변동폭, 수질 및 토양의 토성과 유기물 함량에 의하여 구분되었다. 이상의 결과를 종합하면, 우리나라 저수지의 호안에서 저수지의 크기, 수위변동폭, 수질 및 호안 토양의 특성이 중요한 환경요인인 것으로 판단되었다.

• 한국농공학회논문집
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• 제61권1호
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• pp.9-20
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• 2019

The primary objective of this study was to analyze the delivery ratio using Hydrological Simulation Program - Fortran (HSPF) in Okdong-cheon watershed. Model parameters related to hydrology and water quality were calibrated and validated by comparing model predictions with the 8-day interval filed data collected for ten years from the Korea Ministry of Environment. The results indicated that hydrology and water quality parameters appeared to be reasonably comparable to the field data. The pollutant delivery loads of the watershed in 2015 were simulated using the HSPF model. The delivery ratios of each subwatershed were also estimated by the simple ratio calculation of pollutant discharge load and pollutant delivery load. Coefficients of the regression equation between the delivery ratio and specific discharge were also computed using the delivery ratio. Based on the results, multiple regression analysis was performed using the discharge and the physical characteristics of the subwatershed such as the area. The equation of delivery ratio derived in this study is only for the Okdong-cheon watershed, so the larger studies are needed to apply the findings to other watersheds.

• 한국물환경학회지
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• 제28권4호
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• pp.495-504
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• 2012

In recent years, urbanization has been a hot issues in watershed management due to increased pollutant loads from impervious urban areas. The Soil and Water Assessment Tool (SWAT) model has been widely used in hydrology and water quality studies at watershed scale. However, the SWAT has limitations in simulating water flows between HRUs and hydrological effects of LID practices. The Storm Water Management Model (SWMM) has LID capabilities, but it does not simulate non-urban areas, especially agricultural areas. In this study, a SWAT-SWMM coupled model was developed to evaluate effects of LID practices on hydrology and water quality at mixed-landuse watersheds. This coupled SWAT-SWMM was evaluated by comparing calibrated flow with and without coupled SWAT-SWMM. As a result of this study, the $R^2$ and NSE values with SWAT are 0.951 and 0.937 for calibration period, and 0.882 and 0.875 for validation period, respectively. the $R^2$ and NSE values with SWAT-SWMM are 0.877 and 0.880 for validation period. Out of four LID scenarios simulated by SWAT-SWMM model, the green roof scenario was found to be most effective which reduces about 25% of rainfall-runoff flows.

• 한국습지학회지
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• 제4권1호
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• pp.51-61
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• 2002

The wetland is a biologically integrated system consisting of water, soil, bacteria, plants, and animals. The wetland helps sustain the ecosystem, control the micro-climate and flood, maintain the ground water level, and provide fishing grounds. From the environmental standpoint, the wetland plays a vital role in reducing water pollution by filtering out sand and other polluted matters, producing oxygen, absorbing chemicals and nutrients. For these reasons, interest in restoring the wetlands has been steadily increasing. Artificial wetland, which is also referred to as created wetland or constructed wetland, is an alternative to natural wetland. Like natural wetland, artificial wetland is environmentally friendly and can effectively lower pollutant levels. The Korea government is actively reviewing the construction of artificial wetlands in mining and water supply areas to decrease nonpoint pollutant sources. This paper attempts to develop a pollutant removal model for the water quality improvement function of artificial wetlands. Artificial wetland can improve the quality of the water; however, depending on the type of water inflow, vegetation and hydrology, its effect can be different.