• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.33-44
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• 2019

Due to the recent climate change realization (timing, rainfall pattern changes), the flow regime is changing according to the watershed. The long-term change of flow regime is causing a significant change in structure and function of aquatic ecosystems. However, there is no analysis from the viewpoint of the aquatic ecosystem including flow rate alteration and ecological characteristics as well as the climate change connection in Korea yet. Therefore, We quantitatively assessed the impact of present-future flow regime alteration due to climate change on the Pseudopungtungia nigra habitat in the Mankyung river and floodplain area. As a result, it was confirmed that extreme hydrological conditions such as flood and drought are intensified in the future than the present. Especially, the changes of flow regime characteristics were clarified by comparing and analyzing the magnitude, frequency, duration, rate of change, and by linking flow regime characteristics with physical habitat analysis, it could be suggested that climate change would significantly increase the risk of future ecological changes.

• Journal of Korea Water Resources Association
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• v.54 no.6
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• pp.355-363
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• 2021

The conventional Flow Duration Curve has limitations that it does not consider hydrologic persistence of daily discharge, that the daily discharge is greatly affected by the maximums or minimums, and that the date of occurrence and duration of a specific discharge cannot be known. In this study, we propose a Daily Mode Discharge Curve, which consists of aligning the daily discharge each year by the date of occurrence, calculating the daily mode discharge, and averaging them every 5 days. As a result of reviewing the long-term observational daily discharge data at 8 points upstream and downstream of the mainstream of the 4 major rivers in Korea, it was found that the daily discharge at all points shows hydrological persistence, and the distortion of it was alleviated by using Daily Mode Discharge Curve. We also suggest that the Daily Mode Discharge Curve is useful for utilizing reference discharge such as Drought, Low, Normal, Plentiful, and Flood Discharge.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.294-294
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• 2022

In 2013, the Asian Development Bank classified the Philippines among the countries facing high food security risks. Evidence has suggested that climate change has affected agricultural productivity, and the effect of extreme climatic events notably drought has worsened each year. This had resulted in serious hydrological repercussions by limiting the timely water availability for the agriculture sector. Laguna is the 3^rd most populated province in the country, and it serves as one of the food baskets that feed the region and nearby provinces. In addition to climate change, population growth, rapid industrialization, and urban encroachment are also straining the delicate balance between water demand and supply. Studies have projected that the province will experience less rainfall and an increase in temperature, which could simultaneously affect water availability and crop yield. Hence, understanding the composite threat of climate change for crop yield and water consumption is imperative to devise mitigation plans and judicious use of water resources. The water footprint concept elaborates the water used per unit of crop yield production and it can approximate the dual impacts of climate change on water and agricultural production. In this study, the water footprint (WF) of six main crops produced in Laguna were estimated during 2010-2020 by following the methodology proposed by the Water Footprint Network. The result of this work gives importance to WF studies in a local setting which can be used as a comparison between different provinces as well as a piece of vital information to guide policy makers to adopt plans for crop-related use of water and food security in the Philippines.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.343-343
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• 2021

최근 국내외적으로 발생되는 대규모의 가뭄에 대하여 여러 과학자들은 자연적인 현상의 가뭄이 아니라 인간의 영향으로 변형된 유역 상황으로 증발산과 토양수분량 그리고 하천유량 등이 자연적인 상태와 다르게 변화되면서 지속된 가뭄으로 평가하고 있다. 우리나라는 대부분의 지역에서 댐과 저류지를 중심으로 수자원 관리가 이루어지고 있으며, 자연적인 수문과정에 의한 유출에 따른 수문학적 가뭄과는 차이가 존재한다. 사회경제적 인자(인구밀도, 농업 및 산업 경제규모 등)는 댐 및 저수지의 용수사용에 큰 영향을 미치며, 저류지의 저류량을 활용하여 판단한 인위적 용수사용이 고려된 수문학적 가뭄(인위적 수문학적 가뭄)과 자연 상태로의 수문학적 가뭄의 특성은 크게 다를 수 있다. 하지만, 사회경제적 인자들이 수문학적 가뭄에 미치는 영향에 대하여 비교한 연구는 상관성 분석을 토대로한 연구가 대부분이다. 본 연구에서는 인자들이 인위적 수문학적 가뭄에 미치는 정도를 정량적으로 비교하기 위하여 베이지안 네크워크 모형을 활용하여 사회경제적 인자와 인위적 수문학적 가뭄과의 관계를 분석하였다. 해당 관계를 바탕으로 코플라 함수를 활용함으로써 베이지안 네트워크 내의 결합확률을 산정하였다. 다양한 사회경제적 인자들에 중에서 인과지도를 바탕으로 활용 가능한 인자로 농업용수 사용량, 생공용수 사용량 자료를 구축하였으며, 기상학적 가뭄지수를 추가적으로 고려하여 한강유역 충주댐 유역에 적용하였다. 그 결과 기상학적 가뭄과 농업용수 사용량과 생공용수 사용량은 값이 증가함에 따라 인위적 수문학적 가뭄의 발생확률이 증가하였다. 사회경제적 인자 중에서는 생공용수 사용량(0.39~0.49)이 전반적으로 농업용수 사용량(0.36~0.48)보다 인위적 수문학적 가뭄에 보다 큰 영향을 미치고 있으며, 값이 적을수록 생공용수 사용량의 영향이 보다 더 크다는 것이 확인되었다. 이를 바탕으로 인위적 수문학적 가뭄의 대응을 위해서는 농업용수 사용량보다 생공용수 사용량의 감축이 우선적으로 이루어져야 그 효과가 클 것으로 판단된다. 본 연구에서 제시한 모형은 베이지안 네트워크를 기반으로 하므로, 둘 이상의 인자에 대하여 복합적으로 가뭄에 영향을 미치는 영향에 대한 추가적인 연구가 가능하다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.516-516
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• 2022

Agricultural reservoirs are critical water resources structures to ensure continuous water supplies for rice cultivation in Korea. Climate change has increased the risk of reservoir failure by exacerbating discrepancies in upstream runoff generation, downstream irrigation water demands, and evaporation losses. In this study, the variations in water balance components of 400 major reservoirs during 1973-2017 were examined to identify the reservoirs with reliable storage capacities and resilience. A conceptual lumped hydrological model was used to transform the incident rainfall into the inflows entering the reservoirs and the paddy water balance model was used to estimate the irrigation water demand. Historical climate data analysis showed a sharp warming gradient during the last 45 years that was particularly evident in the central and southern regions of the country, which were also the main agricultural areas with high reservoir density. We noted a country-wide progressive increase in average annual cumulative rainfall, but the forcing mechanism of the rainfall increment and its spatial-temporal trends were not fully understood. Climate warming resulted in a significant increase in irrigation water demand, while heavy rains increased runoff generation in the reservoir watersheds. Most reservoirs had reliable storage capacities to meet the demands of a 10-year return frequency drought but the resilience of reservoirs gradually declined over time. This suggests that the recovery time of reservoirs from the failure state had increased which also signifies that the duration of the dry season has been prolonged while the wet season has become shorter and/or more intense. The watershed-irrigated area ratio (W-I_ratio) was critical and the results showed that a slight disruption in reservoir water balance under the influence of future climate change would seriously compromise the performance of reservoirs with W-I_ratio< 5.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.124-124
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• 2022

가뭄시 유역 수문량은 하천수/지하수 취·배수, 하·폐수방류량, 용수재이용 등 복잡한 물이용체계에 따른 영향이 크지만 기존 가뭄시 수문량 평가는 이러한 복잡한 물이용체계를 고려하지 않아 정도 높은 예측에 어려움이 있다. 따라서 가뭄시 유력 내 상세물이용체계 및 수문환경특성 인자들의 상호작용 규명을 통한 정도 높은 수문량 평가 기술의 개발이 시급하다. 대하천 주변 광역상수도 공급지역은 가뭄 발생시에도 안정적으로 물이용이 가능하나, 중소하천을 수원으로 하는 하천의 상류지역은 가뭄시 물공급 안정성이 취약하다. 따라서 중소하천을 대상으로 가뭄시 물 공급시설의 효율적 운영, 물부족 위험도 평가, 가용수자원의 최적이용 등 종합적인 대책 마련을 위해서는 신뢰성 높은 수문량(하천유출량 및 수자원가용량) 예측이 필요하다. 가뭄에 따른 중소하천유역의 수문학적 유출거동을 평가하기 위한 해석 모형으로는 국내의 복잡한 유역 수문환경특성을 평가하기 위해 개발된CAT (Catchment hydrologic cycle Assessment Tool)(김현준 등, 2012)을 이용하였다. CAT은 기후변화나 토지이용변화에 따른 유역의 수문환경특성 변동성을 정량적으로 평가하기 위해 개발된 모형이다. CAT은 인위적인 물이용체계 즉, 광역급수, 용수재이용, 지하수 취수, 하천수 취·배수 등을 분석하기 위한 툴을 제공하므로 가뭄시 상세물이용체계에 따른 시·공간적 수문환경특성 분석 및 수문량 평가를 위한 최적의 모형으로 선정하였다. 본 연구에서는 중소하천유역의 수문량 예측기술 실용화 기반을 마련하기 위하여 낙동강, 금강, 영산/섬진강 중권역을 대상으로 정밀 시공간 수문량을 평가하였다. 각 권역별 보정지점을 기준으로 관측유량 자료와 모의자료의 1:1비교를 통해 수문량 예측정확도를 산정하였으며, 모형효율(Nash Sutcliffe Efficiency, NSE) 및 결정계수(Coefficient of Determination, R²)의 권역별 평균은 NSE 72%, R2 79%로 나타났으며, 대부분의 지점에서 70% 이상을 나타내어 환경부 및 지자체의 가뭄시 물관리 정책을 지원하기 위한 실용화 기반을 마련하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.299-299
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• 2022

수문학적 가뭄 발생의 직접적 영향은 강수부족량이나, 다양한 사회경제적 인자들은 수문학적 가뭄에 간접적으로 영향을 미치고 있다. 물관리 선진기관에서는 인간의 활동 및 물관리 방식에 따라 수문학적 가뭄을 심화시키거나 완화시킬 수 있음을 인지하고, 인간의 물사용이 가뭄에 미치는 영향을 평가하기 위한 다양한 연구가 이루어지고 있다. 본 연구에서는 강수량 및 미래의 인구변화에 따른 수문학적 가뭄의 영향의 정도를 판단함으로써, 인간의 활동이 가뭄에 미치는 영향을 정량적으로 제시하고자 한다. 충정북도 시군지역을 대상지역으로 선정하였으며, 시군 장래인구 추정값을 미래 인구자료로, 미래 유출량이 산정되어 제공되는 RCP 4.5와 RCP 8.5시나리오를 활용하여 미래 가뭄상황 예측하였다. 강수량 및 인구변화가 수문학적 가뭄에 미치는 영향 평가를 위하여 코플라함수 기반의 베이지안 네트워크 모형이 활용하였다. 베이지안 네트워크는 강수량, 인구밀도, 수문학적 가뭄사이의 관계 도출을 위하여 활용되었으며, 베이지안 네트워크 내의 결합확률의 산정을 위하여 코플라 함수가 활용되었다. 미래의 강수량 및 인구밀도의 변화에 따른 수문학적 가뭄의 영향 관계를 분석한 결과는 다음과 같다. 강수량이 인구밀도보다 수문학적 가뭄의 발생에 영향을 미치며, 약 0.2~0.3 정도 발생확률이 크게 산정되었다. 두 인자를 동시에 고려할 경우, 강수량이 적고, 인구밀도가 높아지는 조건(F(강수량)=0.1, F(인구밀도)=0.9)에서는 조건부 CDF 변화율이 크게 나타나, 곧 수문학적 가뭄의 위험성이 높음을 확인할 수 있었다. 인구밀도는 수문학적 가뭄의 발생 위험성을 높이 알려져 있으나, 정량적으로 그 값을 제시한 연구 사례는 찾기 어렵다. 이에 따라 본 연구에서는 가뭄의 영향정도를 정량적으로 표현하였으며, 한 인자만의 영향이 아닌 두 개 이상의 인자들의 복합적인 영향 정도를 제시함으로써 수치적인 비교가 가능하게 하였다. 미래 추정 인자가 인구자료가 한정적이라 인구 자료만을 활용하여 수문학적 가뭄에 미치는 영향을 분석하였으나, 다른 사회경제적 지표를 활용하여 미래 변화에 따른 미래 수문학적 가뭄의 영향 정도의 비교 및 분석 결과를 바탕으로 가뭄 대응 우선순위 선정을 위한 연구자료로 활용 가능할 것으로 사료된다.

• Korean Journal of Ecology and Environment
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• v.34 no.1 s.93
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• pp.1-8
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• 2001

During April 1993 to November 1994, cations, anions, and conductivity were analyzed to examine how summer monsoon influences the ionic content of Taechung Reservoir, Korea. Interannual variability of ionic content reflected hydrological characteristics between the two years(high-flood year in 1993 vs. draught year in 1994). Cations, anions and conductivity were lowest during peak inflow in 1993 and highest during a drought in 1994. Floods in 1993 markedly decreased total salinity as a result of reduced Ca$^{2+}$ and HCO$_{3}\;^{-}$ and produced extreme spatial heterogeneity (i.e., longitudinal, vertical, and horizontal variation) in ionic concentrations. The dominant process modifying the longitudinal (the headwaters-to-downlake) and vertical (top-to-bottom) patterns in salinity was an interflow current during the 1993 monsoon. The interflow water plunged near a 27${\sim}$37 km-location (from the dam) of the mid-lake and passed through the 10${\sim}$30m stratum of the reservoir, resulting in an isolation of epilimnetic high conductivity water (>100 ${\mu}$S/cm) from advected river water with low conductivity (65${\sim}$75 ${\mu}$S/cm), During postmonsoon 1993, the factors regulating salinity differed spatially; salinity of downlake markedly declined as a result of dilution through the mixing of lake water with river water, whereas in the headwaters it increased due to enhanced CaCO$_{3}$ (originated from limestone/metamorphic rock) of groundwaters entering the reservoir. This result suggests an importance of the basin geology on ion compositions with hydrological characteristics. In 1994, salinity was markedly greater (p<0.001) relative to 1993 and ionic dilution did not occur during the monsoon due to reduced inflow. Overall data suggest that the primary factor influencing seasonal ionic concentrations and compositions in this system is the dilution process depending on the intensity of monsoon rainfall.

• 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.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.761-774
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• 2022

Accurate hydrologic prediction is essential to analyze the effects of drought, flood, and climate change on flow rates, water quality, and ecosystems. Disentangling the uncertainty of the hydrological model is one of the important issues in hydrology and water resources research. Hydrologic data assimilation (DA), a technique that updates the status or parameters of a hydrological model to produce the most likely estimates of the initial conditions of the model, is one of the ways to minimize uncertainty in hydrological simulations and improve predictive accuracy. In this study, the two ensemble-based sequential DA techniques, ensemble Kalman filter, and particle filter are comparatively analyzed for the daily discharge simulation at the Yongdam catchment using airGRdatassim. The results showed that the values of Kling-Gupta efficiency (KGE) were improved from 0.799 in the open loop simulation to 0.826 in the ensemble Kalman filter and to 0.933 in the particle filter. In addition, we analyzed the effects of hyper-parameters related to the data assimilation methods such as precipitation and potential evaporation forcing error parameters and selection of perturbed and updated states. For the case of forcing error conditions, the particle filter was superior to the ensemble in terms of the KGE index. The size of the optimal forcing noise was relatively smaller in the particle filter compared to the ensemble Kalman filter. In addition, with more state variables included in the updating step, performance of data assimilation improved, implicating that adequate selection of updating states can be considered as a hyper-parameter. The simulation experiments in this study implied that DA hyper-parameters needed to be carefully optimized to exploit the potential of DA methods.