• Journal of Korean Society on Water Environment
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• v.36 no.6
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• pp.568-580
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• 2020

Calibrating a conceptual hydrologic model necessitates selection of a calibration period that produces the most reliable prediction. This often must be chosen randomly, however, since there is no objective guidance. Observation plays the most important role in the calibration or uncertainty evaluation of hydrologic models, in which the key factors are the length of the data and the hydro-climate conditions in which they were collected. In this study, we investigated the effect of the calibration period selected on the predictive performance and uncertainty of a model. After classifying the inflows of the Hapcheon Dam from 1991 to 2019 into four hydro-climate conditions (dry, wet, normal, and mixed), a conceptual hydrologic partitioning model was calibrated using data from the same hydro-climate condition. Then, predictive performance and post-parameter statistics were analyzed during the verification period under various hydro-climate conditions. The results of the study were as follows: 1) Hydro-climate conditions during the calibration period have a significant effect on model performance and uncertainty, 2) calibration of a hydrologic model using data in dry hydro-climate conditions is most advantageous in securing model performance for arbitrary hydro-climate conditions, and 3) the dry calibration can lead to more reliable model results.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.243-243
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• 2022

댐은 일반적으로 하천관리에 있어서 인간에게 용수를 공급하고 홍수를 조절하는 등의 발전을 목적으로 건설되어 운영되고 있다. 그러나 하류하천은 댐 건설에 의해 흐름에 대한 연속성이 차단되어 첨두 홍수량과 유사량이 현저하게 감소한다. 첨두 홍수량의 감소로 퇴적된 유사는 이동하지 못해 고착화가 진행되고 식생이 침입하여 번성하게 된다. 하천에 식생이 발달하게 되면, 안정성이 증가하고 생태계 서식처를 형성하며 하천경관을 개선시키는 이점이 있다. 그러나 조도의 증가와 통수능의 감소로 인한 유속감소와 수위상승을 발생시켜 홍수범람을 야기할 수 있다. 따라서 이러한 상황에 대응하기 위해서는 식생대의 밀도에 따른 흐름을 분석하여 바람직한 하천관리방안 연구가 필요할 것으로 판단된다. 본 연구에서는 2차원 흐름모형을 활용하여 황강 합천조정지댐 직하류 구간의 수목군을 고려한 부정류 계산을 통해 하도의 수위 및 유속을 예측모의하는 방법론을 제시하고 모의결과를 분석하였다. 상류단 경계조건은 과거 집중호우로 인하여 대홍수가 발생하였던 2020년 합천조정지댐 방류량 중 첨두발생 기간의 유량을 입력하였으며, 하도의 식생밀도를 산정하고 입력하기 위해 현장조사를 수행하였다. 수치모의 시 식생밀도는 총 4가지 Case(식생현황, 전체벌채, 식생개선, 식생존치)로 나누어 모의를 수행하였다. 모의결과, 직하류 만곡부 유입구간에서 외측으로 흐름이 집중되어 수심과 유속이 증가하였으며, 만곡부 외측의 식생대로 인해 식생대에서는 유속이 감소하고 수심이 증가하며, 식생대 주변 하류의 내측으로 흐름이 집중되어 수심과 유속이 증가하는 것으로 나타났다. 본 연구에서는 합천조정지댐의 실운영방류량과 황강의 실제식생밀도를 반영하여 수치모의를 하였기 때문에 흐름과 식생관리에 따른 실무적 대책방안 마련에 도움이 될 것으로 판단된다. 또한, 본 연구에서 활용한 분석방법과 결과들은 합리적인 하천관리방안을 구축하기 위한 기초자료로 활용될 수 있을 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.238-238
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• 2022

합천댐의 건설 이후, 댐직하류 구간에서는 10년 동안의 방류량 감소와 기후변화로 인한 강우패턴의 변화로 하도식생의 활착이 발생하여 식생이 증식하고 밀도가 점차 증가하고 있다. 식생밀도의 증가는 흐름에 대한 항력을 증가시켜 유속을 감소시키고 수심을 증가시킨다. 이는 통수능 저하를 초래하며, 홍수 시 수위증가에 따른 홍수범람의 위험성 증가시킨다. 따라서 식생영향에 대한 심화적인 이해를 제고하여 적절한 식생관리대책을 구축할 필요가 있다. 본 연구에서는 이러한 필요성에 맞추어 식생대 영향에 따른 흐름의 변화를 예측모의하여 흐름과 식생대의 상호작용에 대한 분석을 수행하였다. 이를 위해 2차원 흐름모형인 Nays2D를 이용하여 합천댐 직하류 구간을 대상으로 식생밀도의 변화에 따른 흐름의 변화를 부등류를 기반으로 모의하였다. 상류단의 경계조건은 162.99 m³/s(실운영 방류량), 995 m³/s(2년빈도 댐 조절 방류량), 2670 m³/s(100년빈도 댐 조절 방류량)로 3개의 유량으로 구분하여 모의하였다. 식생의 특성은 현장조사를 통해 밀도를 산정하여 수치모의에 적용하였다. 식생밀도는 4가지로 구분하여 모의시나리오를 구축하였으며 현장조사를 통해 산정된 2021년도 식생밀도를 기준으로 식생밀도를 증감하여 수치모의를 수행하였다. 수치모의 조건은 2021년 식생현황, 식생개선, 식생존치, 전벌채로서 식생개선의 경우, 2021년 식생밀도의 0.5배로, 식생존치의 경우, 식생밀도를 2배로 적용하였다. 전벌채는 식생이 없는 것으로 가정하였다. 수치모의 결과, 식생개선이 2021년 식생현황과 식생존치보다 상대적으로 수심이 낮게 나타났다. 식생을 전벌채한 경우, 식생이 존재하는 조건보다 수심이 낮고 유속이 빠르게 나타났으며 특히, 만곡부의 외측에서는 2차류의 발달로 흐름이 집중되었다. 이를 통해 식생개선의 경우, 식생현황과 식생존치보다 홍수범람의 가능성이 적을 것으로 판단되며 전벌채의 경우, 만곡부 외측에서 2차류 발달에 의한 세굴을 야기하여 제방의 안정성에 영향을 줄 것으로 예측된다. 본 연구는 댐 직하류에 식생대 밀도변화가 흐름변화에 미치는 영향을 분석한 수치모의 사례로서 이는 추후 식생을 고려하는 하천관리방안을 수립 시, 식생관리방법에 대한 근거자료로 활용될 수 있을 것으로 기대된다.

• Journal of Korea Water Resources Association
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• v.46 no.12
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• pp.1181-1191
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• 2013

This study have implemented finding the optimal water temperature parameter set for Hapcheon dam reservoir using CE-QUAL-W2 model. In particular the sensitivity analysis was carried out for four water temperature parameters of wind sheltering coefficient (WSC), radiation heat coefficient (BETA), light extinction coefficient (EXH2O), heat exchange coefficient at the channel bed (CBHE). Firstly, WSC, BETA, EXH2O shows relatively high sensitivity in common during April to September, and CBHE does during August to November. Secondly, as a result of identifying depth range of parameter influence, BETA and EXH2O show 0~9 m and 8~14 m which is thermocline layer close to water surface, CBHE is deep layer 12 m away from bottom. Finally, applying annual or monthly optimal parameter sets indicates that the bias between two sets does not show much differences for WSC and CBHE parameters, but BETA and EXH2O parameters show $0.20^{\circ}C$ and $0.51^{\circ}C$ of monthly average biases for two parameter sets. In particular the bias reveals to be $0.4^{\circ}C$ and $1.09^{\circ}C$ during May and August that confirms the necessity of use of monthly parameters during that season. It is claimed that the current operational custom use of annual parameters in calibration of reservoir water quality model requires the improvement of using monthly parameters.

• Journal of Korea Water Resources Association
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• v.48 no.7
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• pp.567-579
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• 2015

This study performed the non-stationary flood frequency analysis considering time-varying parameters of a probability density function. Also, return period and risk under non-stationary condition were estimated. A stationary model and three non-stationary models using Generalized Extreme Value(GEV) were developed. The only location parameter was assumed as time-varying parameter in the first model. In second model, the only scale parameter was assumed as time-varying parameter. Finally, the both parameters were assumed as time varying parameter in the last model. Relative likelihood ratio test and Akaike information criterion were used to select appropriate model. The suggested procedure in this study was applied to eight multipurpose dams in South Korea. Using relative likelihood ratio test and Akaike information criterion it is shown that the inflow into the Hapcheon dam and the Seomjingang dam were suitable for non-stationary GEV model but the other six dams were suitable for stationary GEV model. Also, it is shown that the estimated return period under non-stationary condition was shorter than those estimated under stationary condition.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.2
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• pp.53-69
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• 2020

The increase of the impermeable area due to industrialization and urban development distorts the hydrological circulation system and cause serious stream drying phenomena. In order to manage this, it is necessary to develop a technology for impact assessment of stream drying phenomena, which enables quantitative evaluation and prediction. In this study, the cause of streamflow reduction was assessed for dam and weir watersheds in the five major river basins of South Korea by using distributed hydrological model DrySAT-WFT (Drying Stream Assessment Tool and Water Flow Tracking) and GIS time series data. For the modeling, the 5 influencing factors of stream drying phenomena (soil erosion, forest growth, road-river disconnection, groundwater use, urban development) were selected and prepared as GIS-based time series spatial data from 1976 to 2015. The DrySAT-WFT was calibrated and validated from 2005 to 2015 at 8 multipurpose dam watershed (Chungju, Soyang, Andong, Imha, Hapcheon, Seomjin river, Juam, and Yongdam) and 4 gauging stations (Osucheon, Mihocheon, Maruek, and Chogang) respectively. The calibration results showed that the coefficient of determination (R²) was 0.76 in average (0.66 to 0.84) and the Nash-Sutcliffe model efficiency was 0.62 in average (0.52 to 0.72). Based on the 2010s (2006~2015) weather condition for the whole period, the streamflow impact was estimated by applying GIS data for each decade (1980s: 1976~1985, 1990s: 1986~1995, 2000s: 1996~2005, 2010s: 2006~2015). The results showed that the 2010s averaged-wet streamflow (Q95) showed decrease of 4.1~6.3%, the 2010s averaged-normal streamflow (Q185) showed decreased of 6.7~9.1% and the 2010s averaged-drought streamflow (Q355) showed decrease of 8.4~10.4% compared to 1980s streamflows respectively on the whole. During 1975~2015, the increase of groundwater use covered 40.5% contribution and the next was forest growth with 29.0% contribution among the 5 influencing factors.

• Korean Journal of Ecology and Environment
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• v.43 no.2
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• pp.319-337
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• 2010

Major objective of this study was to determine interannual and seasonal water quality along with characteristics of longitudinal gradients along the reservoir axis of the riverine zone (Rz)-to-lacustrine zone (Lz). Water quality dataset of five years during 2003~2007 used here were obtained from Ministry of Environment, Korea and ten physical, chemical and biological parameters were analyzed in the study. Similarity analysis, based on moropho-hydrological variables of reservoir surface area, watershed area, total inflow, and outflow, showed that the reservoirs were categorized as three groups of large-dam reservoirs (Chungju Reservoir, Daecheong Reservoir and Soyang Reservoir), mid-size reservoirs (Andong Reservoir, Yongdam Reservoir, Juam Reservoir and Hapcheon Reservoir), and small-size reservoirs (Hoengseong Reservoir and Buan Reservoir). According to the data comparison of high-flow year (2003) vs. lowflow year (2005), dissolved oxygen (DO), pH, biological oxygen demand (BOD), suspended solids (SS), total nitrogen (TN), total phosphorus (TP), chlorophyll-a (CHL) and electrical conductivity (EC) declined along the longitudinal axis of Rz to Lz and water transparency, based on Secchi depth (SD), increased along the axis. These results indicate that transparency was a function of Values of pH, DO, SS, SD, and EC at each site were greater in the low-flow year (2005) than the high-flow year (2003), whereas values of BOD, COD, TN, TP and CHL were greater in the high-flow year (2003). When values of TN, TP, CHL and SD in nine reservoirs were compared in the three zones of Rz, Tz, and Lz, values of TN, TP and CHL declined along longitudinal gradients and SD showed the opposite due to the sedimentation processes from the water column. Values of TN were not statistically correlated with TP values. The empirical linear models of TP-CHL and CHL-SD showed significant (p<0.05, $R^2$>0.04). In the mid-size reservoirs, the variation of CHL was explained ($R^2$=0.2401, p<0.0001, n=239) by the variation of TP. The affinities in the correlation analysis of mid-size reservoirs were greater in the CHL-SD model than any other empirical models, and the CHL-SD model had an inverse relations. In the meantime, water quality variations was evidently greater in Daecheong Reservoir than two reservoirs of Andong Reservoir and Hoengseong Reservoir as a result of large differences of water quality by long distance among Rz, Tz and Lz.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.1
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• pp.74-80
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• 2006

Benefit transfer is a method, which obtains an estimate for the economic valuation of non-marketed commodities at a given site through the analysis of studies that have been previously carried out to value similar commodities at a different location. The objective of this study was to estimate benefit transfer values for the construction of the integrated sewerage system in the catchment area of dams in Korea. For pooled data analysis, five models were suggested in this study. Among five models, model 2 showed only 6 to 7% errors when the willingness-to-pay(WTP) predicted in the policy-site, Dam Soyang was compared with that estimated using contingent valuation method(CVM) in the study-sites, Dams Namgang, Hapcheon, and Daecheong. However, the WTP estimate predicted by model 1 showed the absolute errors of 42 to 47% when it was compared with WTP estimated using CVM in Dams Andong and Imha. It seemed that residents of Dams Andong and Imha have feeling of being victimized since two dams were constructed very adjacently, the upstream area was designated as drinking water source protection zone, and thereafter their developmental economical actions have been significantly restricted.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.897-908
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• 2008

황강에는 1989년 합천다목적댐과 본댐 하류 6.5km 지점에 조정지댐이 건설되었는데 조정지댐의 건설 목적은 본댐에서 피크 발전에 의해 방류되는 유량을 하류로 조절방류하기 위한것이다. 황강은 두댐의 건설후 하천폭, 하상재료, 식생 및 하천구간내 사주의 형성 등 많은 하천 지형학적 변화가 있었다. 이러한 변화는 댐 건설후 흐름 및 유사이송의 변화에 기인한다. 2002년 합천댐 저수지 퇴사량 조사에 의하면 합천댐은 연간 약 600천$m^3$의 유사를 차단한 것으로 파악되었다. 조정지댐은 연최대피크 방류량을 654.7$m^3/s$에서 126.3$m^3/s$로 감소시켰는데 이는 댐건설전의 19.3%에 해당하는 양이다. 댐건설로 인한 하류 하천의 지형적인 변화를 파악하기 위하여 합천조정지댐 하류로부터 낙동강 합류점까지 45 km에 대하여 조사하였다. 1982, 1993 및 2004년의 항공사진을 분석한 결과 비식생하도폭(non-vegetated active channel width)은 평균 152m 감소되었는데 이는 1982년의 약 53%에 해당한다. 비식생하도의 면적 역시 평균 6.6$km^2$가 감소하였다. 평균 중앙하상재료(D50)의 크기는 1983년 1.07mm에서 2003년 5.72mm로 증가한 반면 평균 하상구배는 1983년 0.000943에서 2003년 0.000847로 감소하였다. 총 하상 세굴깊이는 조정지댐 하류 20km 구간에서 평균 약 2.6m였다. 1차원 유사모형인 GSTAR-1D를 이용하여 예측된 최심하상고는 2013-2015년 사이 (댐건설후 약 25년 후)에 안정된 상태에 도달하는 것으로 나타났다. 합천 조정지댐이 본 댐에서의 피크 방류량을 상당히 감소시키고 있지만 홍수기에 조정지댐 수문의 급격하고 주기적인 개폐로 인하여 하류에 흐름의 펄스를 발생시키고 있다. 이러한 펄스가 하류 하천 지형변화에 미치는 영향을 파악하기 위하여 유사모형과 해석적인 방법을 개발 적용하여 구한 값과 비교 검토 하였다. 결과에 따르면, 일 흐름의 펄스(daily pulse)와 홍수피크(flood peak)는 각각의 평균값이 흐를 때와 비교하여 하천지형변화에 훨씬 큰 영향을 미치는 것으로 나타났다. 일 흐름 펄스와 홍수피크는 각각의 평균값의 21%와 15%의 토사 이송량 (tons/day) 증가를 보여주었다.

• Journal of Korea Water Resources Association
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• v.47 no.8
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• pp.729-742
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• 2014

This study predicted long-term sediment distribution for 76 years by using RMA-2 which is two-dimensional numerical model and SED2D which is the sediment transport model to quantitatively analyze sediment distribution in the reservoir based on sediment intrusion and efficiently manage the reservoir. For water level-discharge-sediment data required in boundary conditions of the model, real-time data measured by the Korea Water Resources Corporation were used. The sediment input data was calculated using K-DRUM model. Sedimentation depth was compared with results of model by collecting cross-section core in the reservoir during the dry season. As the result of validation, the sediment depth in the reservoir was similar to actually measured value. For prediction of long-term sediment distribution, terrain data measured in 2012 was used as starting crosssection and simulations for 76 years until 2088 were made. As the results of simulations, sediment distributions of 1.63~1.26 m and 1.45~0.007 m were shown in upstream and downstream of Hapcheon Dam, respectively.