• Journal of Environmental Impact Assessment
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• v.27 no.3
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• pp.267-278
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• 2018

With climate change and population growth, there are significant increases in water scarcity. There have been water security assessments to abate the gap between water demand and availability to support water resource management. However, most of the assessments are focusing on the water that flows through either on or below the land surface, failing to consider water that infiltrates and can be used by vegetation. This study presents water scarcity assessment accounting for Blue and Green water concept, and applied the method to Boryung region. Monthly streamflow, evapotranspiration, and soil moisture were estimated by SWAT modeling, and each of them was used to analyze Blue and Green water scarcity. Blue and Green water scarcity had different aspect, and the result indicated the time when water scarcity is more likely to happen. The water scarcity assessment framework presented in this paper provides novel assessment method integrating hydrologic and ecosystem aspects, thereby improving the understanding of how water resources should be managed.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.1
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• pp.11-20
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• 2018

This study is to calibrate the SWAT (Soil and Water Assessment Tool) water quality of SS (Suspended Solid), T-P (Total Phosphorus), and T-N (Total Nitrogen) by focusing on 2014~2015 drought periods and identify the important parameters. For Gongdo watershed ($366.5km^2$), the SWAT was calibrated for 2 cases of 2002~2006 normal year focusing calibration and 2014~2015 drought focusing calibration respectively. The parameters of N_UPDIS (Nitrogen uptake distribution parameter) and CMN (Rate factor for humus mineralization of active organic nutrients) played important roles for T-N calibration during drought periods. The SWAT SS, T-N, and T-P average $R^2$ (Coefficient of determination) results by focusing on 2014~2015 drought periods calibration showed 0.71, 0.65 and 0.62 while 2002~2006 normal year focusing calibration showed 0.63, 0.58 and 0.50 respectively. Also SWAT SS, T-N, and T-P model efficiency NSE (Nash-Sutcliffe efficiency) results by focusing on drought period (2014~2015) calibrated showed 0.76, 0.77, 0.87 respectively. Even though the SS, T-P parameters were unchanged during the calibration, the SS and T-P results were improved by the hydrological parameters (SCS-CN, SOL_K, SLSOIL) during the drought periods. The SWAT water quality calibration needs to be considered for the movement of SS and nutrients transport especially focusing on the drought characteristics.

• Journal of The Korean Society of Agricultural Engineers
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• v.51 no.5
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• pp.69-78
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• 2009

In order to improve water quality of upper watershed of Paldang reservoir, it is necessary to evaluate non-point source pollution loads and identify critical watershed pollution sources. A GIS based Soil and Water Assessment Tool was applied to evaluate model application and reliability, estimate NPS pollution load, identify critical watershed by NPS pollution sources, and suggest various best management practices for Kyongan Stream watershed. Yearly NPS pollution loads were estimated 30.0% SS, 60.1% TN and 35.4% TP, respectably. The watershed pollution load is mainly decided by precipitation condition and SS and nutrients load have a significant regression relationship. Based on 10-year average yearly NPS pollution load, critical sub-watersheds were identified. The No. 5 and 17 which have lots of relatively intensive agricultural fields and scattered industrial area were vary critical sub-watersheds and under more intensive pollution load. In order to control critical watershed, watershed best management practices such as scientific fertilizer, contour farming and parallel terrace, transferring the sloppy farmland to grass or forest and constructing a buffer zone, and constructing wetlands and retention ponds will be applied. Overall the SWAT model can be efficiently used for identification of critical sub-watersheds in order to develop a priority watershed management plan to reduce water pollutions.

• Journal of Korea Water Resources Association
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• v.52 no.spc2
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• pp.777-789
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• 2019

The purpose of this study is to evaluate changes in water quality and aquatic ecosystem health by additional dam release of stream maintenance flow from multipurpose dams in Han river basin ($34,148km^2$) using SWAT (Soil and Water Assessment Tool). The period of additional release was spring (April to June) and autumn (August to October) to evaluate the changes with the data of aquatic ecosystem health survey. The amount of additional release was set proportional to the present dam release, and the maximum release amount was controlled not to exceed the officially notified stream maintenance flow from dam. The 10 percent to 50 percent additional releases showed that the stream water quality (T-N, $NH_4$, T-P, and $PO_4-P$) concentrations except $NO_3-N$ decreased in spring while increased in autumn period. Using the stream water quality results and applying with Random Forest algorithm, the grade of aquatic ecosystem health index (FAI, TDI, and BMI) was improved for both periods especially in the downstream of basin. This study showed that the additional release of stream maintenance flow was more effective in spring than autumn period for the improvement of water quality and aquatic ecosystem.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.3
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• pp.91-101
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• 2012

This study is to assess the runoff characteristics of nonpoint source pollution loads for Jecheon and Jangpyeong stream watersheds located in the upstream of Chungju lake. The SWAT (Soil and Water Assessment Tool), a physically based distributed hydrological model was calibrated and verified using 5 years (2006 to 2010) streamflow and water quality data. The Nash-Sutcliffe model efficiency for streamflow was 0.60~0.92 and the determination coefficients for sediment, Total Nitrogen (T-N), and Total Phosphorous (T-P) were 0.53~0.71, 0.51~0.91 and 0.38~0.85 respectively. The results showed that the Sediment, T-N, and T-P of Jangpyeong stream were 40.0~60.9 %, 34.8~64.1 % and 76.5~83.9 % higher than Jecheon stream watershed during wet days. The results evaluated high NPS loads at Jangpyeong stream because the percentage of urban and upland crop cultivation area Jangpyeong stream watershed was higher than Jecheon stream watershed.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.130-130
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• 2020

수자원장기종합계획에 따르면 전국 지하수위는 지하수 이용의 지속적인 증가와 도시화에 따른 지하수 함양감소 등으로 최근 매년 조금씩 감소하고 있다. 특히, 환경부의 지하수조사연보(2018)에 따르면 남한강하류 중권역은 한강수계 전체 지하수 사용량의 약 34.5 %를 차지하고 있는 것으로 분석되었으며, 2009년에 비하여 2017년의 지하수위는 1.4 m의 감소 되었다. 본 연구는 한강유역에서 지하수 개발밀도가 높은 이천시에 위치해 있는 복하천 유역(303.8㎢)을 대상으로 지하수위 감소에 따른 기저유량 변동특성을 파악하기 위하여 SWAT-MODFLOW(Soil And Water Assessment Tool-MODFLOW)을 적용하고자 한다. SWAT-MODFLOW는 준분포형 장기유출모형 SWAT과 3차원 분포형 지하수 모의가 가능한 MODFLOW를 연계한 모형이며, MODFLOW만으로는 해결할 수 없는 일별 지하수 함양량의 분포와 SWAT만으로는 계산 불가능했던 지하수위의 시공간 분포를 보완하여 재생함으로써 두 모형의 한계를 극복한 모델이다. SWAT의 검보정 결과로서는 RMSE는 10.6 mm/day, NSE는 0.72, R²는 0.69 효율이 나타났으나, 지하수 유출이 보정되지 않아 MODFLOW의 입력자료인 토양두께(m), 수리전도도(m/day), 비저류량(1/m), 비산출율을 토양통에 따라 분류한 해외논문(Steven et.al 2005) 자료를 산정하여 SWAT-MODFLOW 두모형을 연계한 프로그램에 입력하여 지하수 유출을 보완하였고 SWAT과 SWAT-MDFLOW 지하수 유출량 비교뿐만이 아닌 SWAT-MODFLOW의 출력자료인 지하수위 및 지하수 충진량을 검토하였다.

• Journal of Korea Water Resources Association
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• v.56 no.1
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• pp.35-43
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• 2023

Future runoff analysis is influenced by climate change scenarios and hydrologic model parameters, with uncertainties. In this study, the uncertainty of future runoff analysis according to the shared socioeconomic pathway (SSP) scenario and hydrologic model parameters was analyzed. Among the SSP scenarios, the SSP2-4.5 and SSP5-8.5 scenarios were used, and the soil and water assessment tool (SWAT) model was used as the hydrologic model. For the parameters of the SWAT model, a total of 11 parameter were optimized to the observed runoff data using SWAT-CUP. Then, uncertainty analysis of future estimated runoff compared to the observed runoff was performed using jensen-shannon divergence (JS-D), which can calculate the difference in distribution. As a result, uncertainty of future runoff was analyzed to be larger in SSP5-8.5 than in SSP2-4.5, and larger in the far future (2061-2100) than in the near future (2021-2060). In this study, the uncertainty of future runoff using future climate data according to the parameters of the hydrologic model is as follows. Uncertainty was greatly analyzed when parameters used observed runoff data in years with low flow rates compared to average years. In addition, the uncertainty of future runoff estimation was analyzed to be greater for the parameters of the period in which the change in runoff compared to the average year was greater.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.105-105
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• 2018

2017년 이상기후 보고서에 따르면, 지난해 장마기간(6월 24일~7월 29일) 동안 전국 평균 강수량은 291.7mm로 평년(356.1mm)의 81%에 그쳤고, 7월 전국 평균기온은 $26.4^{\circ}C$로 평년($24.5^{\circ}C$) 보다 $1.9^{\circ}C$ 높았으며, 폭염일수는 평년대비 1.5배 많았음을 보고했다. 이러한 극심한 기후변화는 유역환경에 영향을 미쳐 미래 수자원 계획과 관리에 어려움을 가중시킬 것으로 예상된다. 이에 본 연구에서는 금강유역($9,865km^2$)을 대상으로 SWAT(Soil and Water Assessment Tool)모형과 RCP(Representative Concentration Pathway) 기후변화 시나리오를 이용하여 극한 기후변화 사상에 따른 수문 수질 거동을 평가하고자 하였다. 유역의 물수지 분석을 위해 금강 유역을 표준단위유역으로 구분 하였고, 기상자료와 다목적댐 2개(대청댐, 용담댐)과 다기능 보 3개(공주보, 백제보, 세종보)의 운영 자료와 국가 수자원관리 종합 정보 시스템(WAMIS)에서 관측 및 관리하고 있는 수문, 기상 자료를 수집하였다. SWAT 모형의 신뢰성 있는 수문 및 수질 보정을 위해 금강 소유역 내 위치하는 다목적 댐 2개 및 다기능 보 3개의 실측 방류랑을 이용하여 댐 운영모의를 하였으며, 댐 운영 자료와 수질 자료를 이용하여 모형의 검정 및 보정(2000~2015)을 실시하였다. 미래 극한 기후변화 사상을 모의하기 위해 기후변화 시나리오는 APCC의 26개 CMIP5 GCM 자료 중 RCP 8.5 시나리오를 활용했으며, 극한 기후 시나리오 선정을 위해 STARDEX에서 제시한 강우관련 극한지수를 이용했다. 선정된 홍수 및 가뭄 시나리오에 대해 Historical기간(1976~2005)과 미래기간(2006~2099)을 설정하여 미래 극한 기후변화 사상에 따른 금강유역의 수문 및 수질의 거동을 평가하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.2
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• pp.82-98
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• 2009

This study applied SWAT model to analyze suspended sediment load that is influence on the high density turbid water in Donghyang and Cheoncheon basin, which are located in the upstream of Yongdam Dam. GIS data such as DEM, land cover map and soil map, and meteorological data were used as the input data of SWAT model. And the rating curve equation and Q-SS equation of Donghyang and Cheoncheon gauge station were applied as the measured values of them. As the result of flowout, the coefficient of determination ($R^2$) and the Nash-Sutcliffe coefficient of efficiency (EI) of model calibration showed high as 0.87 and 0.87 at Donghyang gauge station, and the $R^2$ and EI of model validation were high as 0.95 at Cheoncheon gauge station. Also, as the result of suspended sediment load, the $R^2$ and EI of model calibration were high as 0.77 and 0.76 at Donghyang gauge station, and the $R^2$ and EI of model validation marked high as 0.867 and 0.80 at Cheoncheon gauge station. It is considered that the suspended sediment load of 2003 showed the highest due to rainfall amounts and rainfall intensity in using SWAT model. The results of suspended sediment modeled in this study can be applied to the decision-making support data for the evaluation of soil erosion possibility and turbid water potential in the management of reservoir.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.436-440
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• 2007

ArcView와 연동하는 SWAT(Soil and Water Assessment Tool)은 수문평가 도구로써 사용되는 모형이다. 이러한 SWAT모형은 유역의 서로 다른 표면 특성을 반영할 수 있도록 대상유역을 몇 개의 소유역으로 나누고 소유역 내에서 유사한 특성을 나타내는 HRU으로 세분화한다. 모형에서는 유역부분과 수체부분으로 나누어 모의가 이루어지며 각 소유역에서 물수지식에 따라 강우량, 지하수로의 침투량, 증발산량, 그리고 표면 유출량을 산정한다. SWAT 모형은 많은 입력 자료가 있으며 그 중에서도 소유역 개수와 HRU개수가 SWAT 모형의 결과에 많은 영향을 미칠 것으로 생각되어 본 논문에서는 이에 대한 영향을 분석하였다. 연구 대상지역은 함평천 유역으로 전라남도 함평군과 무안군 사이에 위치하고 있으며 유역의 면적은 $196.4km^2$이고 유역의 대부분이 산지와 농업지역으로 이루어져 있다. SWAT 모형을 모의하기 위한 지형자료는 1:25,000 수치지도, 농업과학기술원의 1:25,000 정밀토양도, 환경부의 토지피복도를 사용하였고 기상자료와 강우자료는 목포기상관측소의 자료를 사용하였다. 매개변수를 추정하기위해 환경부의 오염총량관리 세유역을 사용하였으며 모의 결과를 실측치와 비교함으로서 매개변수를 추정하였다. 추정된 매개변수를 이용하고 연구대상지역의 소유역 개수와 HRU개수를 여러 가지로 변화시켜 모의하였으며 그 결과를 실측치와 비교하여 최적 소유역 개수와 HRU 개수를 추정하였다. 본 연구의 결과는 SWAT모형 수행시 소유역의 면적에 대한 객관적인 기준을 제시할 수 있을 것이다.