• Journal of Korea Water Resources Association
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• v.39 no.2 s.163
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• pp.109-120
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• 2006

Permeable pavement and release of treated wastewater into streams can increase streamflow of urban streams for a dry weather period. A SWMM code was modified to have a permeable pavement option. The modified SWMM was applied to continuous simulations of urban runoff from Hakuicheon watershed and it was used to analyse the effect of a permeable pavement installation and the reuse of treated wastewater. A critical error in the pan coefficient multiplication was also corrected in the modification. The analysis results of the reuse of treated wastewater is as follows: The low flow ($Q_{275}$) increases by 1.63 times as much as the current one and the drought flow ($Q_{355}$) increases by 3.57 times as much as the current one. If the impervious area in the Hakuicheon watershed is replaced with the permeable pavement area by 10 percent, the low flow and the drought flow increases by 3 percent and 17 percent, respectively. The results shows the effectiveness of the release of treated wastewater into stream to increase urban streamflow. The permeable pavement installation also play a minor role in the drought flow increase.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.33 no.1
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• pp.13-29
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• 2021

A 3-D hydrodynamic model is applied in the Han River Estuary system, Gyeonggi Bay, to understand the mechanisms of salt transport. The model run is conducted for 245 days (January 20 to September 20, 2020), including dry and wet seasons. The reproducibility of the model about variation of current velocity and salinity is validated by comparing model results with observation data. The salt transport (FS) is calculated for the northern and southern part of Yeomha channel where salt exchange is active. To analyze the mechanisms of salt transport, FS is decomposed into three components, i.e. advective salt transport derived from river flow (QfS0), diffusive salt transport due to lateral and vertical shear velocity (FE), and tidal oscillatory salt transport due to phase lag between current velocity and salinity (FT). According to the monthly average salt transport, the salt in both dry and wet seasons enters through the southern channel of Ganghwa-do by FT. On the other hand, the salt exits through the eastern channel of Yeongjong-do by QfS0. The salt at Han River Estuary enters towards the upper Han River by FT in dry season, whereas that exits to the open sea by QfS0 in wet season. As a result, mechanisms of salt transport in the Han River Estuary depend on the interaction between QfS0 causing transport to open sea and FT causing transport to the upper Han River.

• Journal of Wetlands Research
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• v.21 no.spc
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• pp.39-50
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• 2019

This study aims to assess the influence of climate change on the hydrological cycle at a basin level in North Korea. The selected model for this study is MRI-CGCM 3, the one used for the Coupled Model Intercomparison Project Phase 5 (CMIP5). Moreover, this study adopted the Spatial Disaggregation-Quantile Delta Mapping (SDQDM), which is one of the stochastic downscaling techniques, to conduct the bias correction for climate change scenarios. The comparison between the preapplication and postapplication of the SDQDM supported the study's review on the technique's validity. In addition, as this study determined the influence of climate change on the hydrological cycle, it also observed the runoff in North Korea. In predicting such influence, parameters of a runoff model used for the analysis should be optimized. However, North Korea is classified as an ungauged region for its political characteristics, and it was difficult to collect the country's runoff observation data. Hence, the study selected 16 basins with secured high-quality runoff data, and the M-RAT model's optimized parameters were calculated. The study also analyzed the correlation among variables for basin characteristics to consider multicollinearity. Then, based on a phased regression analysis, the study developed an equation to calculate parameters for ungauged basin areas. To verify the equation, the study assumed the Osipcheon River, Namdaecheon Stream, Yongdang Reservoir, and Yonggang Stream as ungauged basin areas and conducted cross-validation. As a result, for all the four basin areas, high efficiency was confirmed with the efficiency coefficients of 0.8 or higher. The study used climate change scenarios and parameters of the estimated runoff model to assess the changes in hydrological cycle processes at a basin level from climate change in the Amnokgang River of North Korea. The results showed that climate change would lead to an increase in precipitation, and the corresponding rise in temperature is predicted to cause elevating evapotranspiration. However, it was found that the storage capacity in the basin decreased. The result of the analysis on flow duration indicated a decrease in flow on the 95th day; an increase in the drought flow during the periods of Future 1 and Future 2; and an increase in both flows for the period of Future 3.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1B
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• pp.11-22
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• 2009

Long-term rainfall-runoff modeling is a key element in the Earth's hydrological cycle, and associated with many different aspects such as dam design, drought management, river management flow, reservoir management for water supply, water right permission or coordinate, water quality prediction. In this regard, hydrologists have used the hydrologic models for design criteria, water resources assessment, planning and management as a main tool. Most of rainfall-runoff studies, however, were not carefully performed in terms of considering reservoir effects. In particular, the downstream where is severely affected by reservoir was poorly dealt in modeling rainfall-runoff process. Moreover, the effects can considerably affect overall the rainfallrunoff process. An objective of this study, thus, is to evaluate the impact of reservoir operation on rainfall-runoff process. The proposed approach is applied to Anseong watershed, where is in a mixed rural/urban setting of the area and in Korea, and has been experienced by flood damage due to heavy rainfall. It has been greatly paid attention to the agricultural reservoirs in terms of flood protection in Korea. To further investigate the reservoir effects, a comprehensive assessment for the results are discussed. Results of simulations that included reservoir in the model showed the effect of storage appeared in spring and autumn when rainfall was not concentrated. In periods of heavy rainfall, however, downstream runoff increased in simulations that do not consider reservoir factor. Flow duration curve showed that changes in streamflow depending upon the presence or absence of reservoir factor were particularly noticeable in ninety-five day flow and low flow.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.743-750
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• 2019

Most of the water supply facilities that use rivers as sources do not have monitoring facilities such as precipitation and stream flow measurement, and there is no judgment standard for drought response such as water intake control in river flow during dry season. In addition, it was confirmed that local government officials, who deal with actual drought work, have limitations in applying the drought index (SPI, PDSI, etc.) and diffusion models that have been proposed so far in advance. Therefore, in this study, the drought prediction system was constructed to determine the number of water-intake available days using SWAT (Soil and Water Assessment Tool) and the water supply network from the intake source to the beneficiary area, suggesting the drought spreading time and space.

• Journal of Korea Water Resources Association
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• v.45 no.11
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• pp.1121-1130
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• 2012

Projected changes and their impacts on water quality are simulated in response to climate change stressors. CGHR (T63) simulation on the A1B scenario is converted to regional scale data using a statistical down-scaling method and applied to SWAT model to assess water quality impacts in Nakdong River basin. The results demonstrate that rainfall-runoff and pollutant loading in the future (2011~2100) will clearly increase as compared to the last 30-year average. The rate of pollutant loading increase is expected to continue its acceleration until 2040s. Runoff also shows similar patterns to the precipitation, increasing by 60%. Accordingly, the runoff increase results in escalation of pollutant loading by 35~45% for TSS and 5~20% for T-P. This phenomenon is more pronounced in the upper basin during winter and spring season.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.132-136
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• 2007

최근 지구온난화로 인한 이상기후의 영향으로 강우일수는 줄고 있으나 강수량은 예년과 비슷한 수준을 보이고 있다. 이로 인해 갈수기의 용수부족 현상은 더욱 심해지고. 장마철의 홍수피해와 게릴라성 집중호우로 인한 피해가 커지는 등 해가 갈수록 홍수 예경보의 중요성은 더욱 높아지고 있다. 그럼에도 불구하고 현재 홍수 예경보 체계는 몇 가지 문제를 가지고 있다. 기존 예경보 체계의 경우 한 번의 예측을 수행하기 위해 수반되는 전처리과정과 주계산과정을 거치는 동안 각 과정에서 발생한 오차들이 반복, 누적되어 최종 결과물(예측된 유출량) 속에 모두 포함된다. 또한 기존 체계에서는 유출모형을 적용하기 위해서 토양형. 피복상태 등에 관련된 매개변수들이 필요한데. 이러한 매개변수의 결정에 어려움이 있고. 불확실성을 갖고 있다. 본 연구에서는 불확실성을 적극적으로 인정하고 수학적으로 해석하려는 fuzzy 이론을 신경망 이론에 도입하여 홍수 예경보 시스템의 운영과정에서 발생하는 불확실성의 문제를 해결하고자 하였다. 본 연구에서 사용한 ANFIS(Adaptive Neuro-Fuzzy Inference System)은 data driven model(자료에 기반을 둔 모형)의 하나로 다음과 같은 장점을 가진다. 우선 data driven model은 유역의 물리적, 지형적 특성을 고려하지 않고(매개변수설정에서 발생하는 문제 해결 가능), 입력자료와 출력자료만을 고려하여 구축되는 모형이므로, 유역의 물리적 자료나 지형 자료와 같은 방대한 양의 자료 수집이 필요 없고, 일단 모형이 구축되면 자료의 입력만으로도 신뢰성 높은 결과를 단시간 내에 효율적으로 획득할 수 있다. 그리고 유역 내의 상황이 변화하더라도, 이들의 영향을 고려하여 쉽게 모형을 갱신할 수 있다. 마지막으로 모형의 구축 과정이 물리적 모형에 비해 비교적 간편하다는 장점이 있다. 본 연구에서는 ANFIS를 통해 탄천유역의 강수량 자료와 대곡교의 수위자료를 입력자료로 사용하여 대곡교의 수위를 예측하였다. 입력 자료는 시간차 계열의 강우량과 수위 자료를 사용하였으며 모형을 통하여 t+1, t+2, t+3 시간 후의 수위를 예측하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.589-589
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• 2015

물은 인간생활에 있어 반드시 필요한 존재이다. 용수 수요량은 도시화로 인한 인구증가와 기상 이상화 현상으로 인해 점증되고 있는 실정이다. 특히 우리나라의 연평균강우량 2/3가 6, 7, 8월에걸쳐 3개월 동안의 강우량에 따라 가뭄빈도가 잦아지고 있어 이에 대한 피해는 앞으로 증가될 것으로 예상되어지고 있다. 실제로 2012년 5 ~ 6월 충남 서부지역에서는 예년평균의 20%로 관측되어 전국최대의 가뭄피해가 발생하였다. 이러한 문제점들을 해결하기 위한 방법으로 수자원의 안정적인 확보와 하천의 효율적인 이용 및 보전계획 등에 대한 관심이 증가되어지고 있다. 이러한 실정을 고려하여 한국건설기술연구원과 SEI-B(Stockholm Environment Institute-Boston Center)가 공동으로 개발한 통합수자원평가계획모형인 K-WEAP(Korea-Water Evaluation And Planning System) 을 이용하여 물수지 분석하였다. 본 연구에서는 K-WEAP 모형을 이용하여 금강유역의 물수지 분석을 기존 수자원장기종합계획의 중권역 단위의 물수지 분석에서 시군 행정구역단위로 분석을 통한 구체적인 공급방안 제시하였다. 이 때 이용된 권역별 유출량 자료는 강우-유출 모형인 Tank 모형을 통해 산정하였으며, 네트워크는 시군 행정구역단위 모의 목적에 따라 구현하여 적용하였다. 물수지 계산시간 간격은 최대 갈수년 1967년을 설정하여 목표연도 2025년까지 총 45년간 반순단위로 물수지 분석을 수행하였다. 개선된 물수급 분석 방안에 의한 산정결과 생공용수의 지역적 물수급 불균형과 농업용수의 월별 물부족량이 발생하는 것으로 검토되어 가뭄에 대비한 중장기적 이수전략, 다양한 수원을 이용한 수자원 안정성을 확보하는데 필요한 참고자료로 활용이 가능할 것으로 판단된다.

• Journal of The Geomorphological Association of Korea
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• v.17 no.1
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• pp.29-38
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• 2010

Oegogae wetland is sub-alpine wetland which is formed in piedmont area in Jirisan National Park. Apparently Oegogae wetland seems to be well-protected wetland. Most alpine wetlands are located in the summit area, but Oegogae wetland is located in piedmont area which is transitional zone between the steep slope and relatively flat valley bottom. Oegogae wetland is active in terms of sedimentation and exceeds 1m in depth. Penetration tests show that composing material is soft such as peat and organic-rich sediment. Basal rock of the basin is gneiss and gneissic schist in general, which is good for the formation of wetland because those rocks are easy to form low permeability layer. Baseflow from the wetland takes control of the most of stream flow during the wet season and this is especially true during the dry season. Precipitation during the wet season increases water content and base flow from the wetland.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.254-254
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• 2021

기후변화로 인한 자연재해는 해마다 크게 증가하고있으며, 홍수 및 가뭄의 강도와 빈도 증가, 지구온난화로 인한 하천 건천화 등 많은 문제들이 대두되고 있다. 특히, 물 순환과정의 핵심요소로 설명되는 유출량의 변동은 용수 공급과 홍수 대응 및 관리, 하천생태계 유지를 위한 환경에 영향을 미치고 있다. 따라서, 갈수량, 풍수량 등을 산정하여 하천별 유황특성을 결정하는 방법을 사용하고 있으나, 이와같은 지표는 계측자료가 과소한 경우 하천의 유황특성을 세부적으로 이해하고 정량적으로 제시하는데에 한계가있다. 따라서, 미계측 유역에서 Soil and Water Assessment Tool (SWAT)과 같은 수리해석모델이 광범위하게 이용되고있으며, SWAT 모델은 유역의 수치표고모형, 토양 특성, 토지이용 현황, 기상 현황, 유역의 매개변수 등을 반영하여 모델이 구동되고 있다. 하지만, 광범위하게 이용되고 적용성이 입증된 모델임에도 불구하고 입력자료의 불확실성 및 조사되지 않은 영농활동 등으로 인해 결과에 불확실성이 내포되어있으며, 불확실성을 줄이기 위해 실측된 하천의 유량 자료를 이용하여 검정 및 보정작업을 거치고 있다. 모델의 보정 방법으로는 SWAT-CUP과 같은 프로그램 이용되고 있지만, 모델에서 이용되는 매개변수로는 보정할수 있는 범위가 한정적이기 때문에 모델의 정확성을 높이는데에 한계가 있다. 따라서, 본 연구에서는 선암천 유역을 대상으로 모델의 매개변수를 보정하지 않고도 머신러닝 기법을 이용하여 모델의 결과를 향상시켰다. 보정 결과, 유량의 경우 R²가 0.42에서 0.91으로 향상되었으며, 특히 고유량 구간에서의 정확성이 매우 향상되었다. 본 연구에서 평가된 SWAT+머신러닝 결합 모형은 향후 모델 구동에 필요한 입력자료가 부족한 경우와 빠른 검정 및 보정 작업이 필요할 경우 활용될수 있을것으로 판단된다.