• Journal of Korea Water Resources Association
• /
• v.47 no.1
• /
• pp.25-35
• /
• 2014

The objective of this study is to evaluate TOPLATS land surface model performance through comparison of results of water and energy balance analysis. The study area is selected Nakdong river basin and high resolution hydrometeorological components of which spatio-temporal resolution is 1 hr and 1 km are simulated during 2003 to 2013. The simulated daily and monthly depth of flows are well fitted with the observed one on Andong and Hapcheon dam basin. In results of diurnally analysis of energy components, change pattern throughout the day of net radiation, latent heat, sensible heat, and ground heat under energy balance analysis have higher accuracy than ones under water balance analysis at C3 and C4 sites. Especially, root mean square errors of net radiation and latent heat at C4 site are shown very low as 22.18 $W/m^2$ and 7.27 $W/m^2$, respectively. Mean soil moisture and evapotranspiration in summer and winter are simulated as 36.80%, 33.08% and 222.40 mm, 59.95 mm, respectively. From this result, when we need high resolution hydrometeorological components, energy balance analysis is more reasonable than water balance analysis. And this results will be used for monitor and forecast of weather disaster like flood and draught using spatial hydrometeorological information.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2012.05a
• /
• pp.608-608
• /
• 2012

현재 기후변화의 기상변동성이 커짐에 따라 태풍 및 집중호우 등의 이상기후 현상이 전 지구상에 걸쳐 광역적으로 나타나고 있다. IPCC에서는 이러한 기후변화가 기온 상승에 따른 증발산량의 증가, 강수량 및 유출량의 시공간적 분포의 변동 등을 초래하여 수자원의 효율적 관리 및 안정적인 공급에 어려움을 증대시킬 것으로 전망하였다. 뿐만 아니라 현재 국내 전반에 걸쳐 4대강 사업이 진행되고 있고, 낙동강에서도 낙동강 살리기 사업이 실시되어 주변 지형들의 변화가 진행되고 있다. 이러한 지형의 변화는 현재까지 구축되어 있는 기존자료의 대폭적인 변화를 의미하므로 홍수관련 연구결과에도 변화를 의미하고 있다. 이에 따라 4대강 사업 이후의 기후 변화에 따른 낙동강유역에서의 유출량의 증가를 분석하여 극한홍수의 발생가능성을 제시하고 이러한 극한홍수발생에 따른 위험지역도 과거에 의해 변경될 것으로 판단되어 국내외적으로 하천의 수리검토에 널리 사용되고 있는 1차원 수리해석 프로그램인 FLDWAV를 이용하여 취약지점을 분석하고 위험도를 분석하고자 한다. 낙동강 살리기 사업으로 낙동강에 건설된 8개의 보를 고려한 본류 및 지류에서의 제내지 및 제외지 지형데이터를 구축하고 구축된 자료을 이용해 낙동강 본류 및 지류에 대해서 극한홍수시 200년 빈도, 500년 빈도 홍수량 및 홍수위를 FLDWAV를 통해 정상류로 계산해서 예측하고 500년 빈도 홍수량과 홍수위를 부정류로 계산하여 제방고와 홍수위를 비교하여 범람위험지역을 선정하였다. 그리고 그 결과를 통해 GIS를 통하여 범람위험지역 제내지의 주요도심 구간 포함, 범람 범위를 분석함과 동시에 극한홍수에 따른 도심구간, 비도시구간 등의 범람범위를 분석하였다. 또한 선정한 범람위험지역의 범람 피해규모를 산정하고 피해범위의 현황을 파악하였다. 연구의 결과는 다음과 같이 나타났다. 500년 빈도 홍수시 범람위험지역은 낙동강 본류의 하류부에서 각각 154.7km, 123.2km, 12.9km에 위치한 지점이 선정되었으며 각 지점의 피해규모는 제내지에 범람된 유출량의 수위는 각각 21.7m, 24.3m, 2.11m로 계산되었고 이때의 피해면적은 각각 $2.68km^2$, $2.64km^2$, $1.25km^2$로 나타났다. 이 결과는 기후변화로 인한 극한홍수 발생 가능성과 취약지점의 분석을 통한 지역의 홍수피해 저감과 정책개발에 기본 자료로 활용될 것이며 낙동강 살리기 사업으로 인한 하천주변 지형의 변화를 제공함으로서 앞으로 진행될 연구의 기본 자료로서 이용가능 할 것으로 판단된다. 또한 이전의 홍수방어계획을 개선한 새로운 홍수방어계획의 수립을 통하여 향후 발생될 홍수의 예방 및 대응방안 수립의 참고자료로 이용될 것이며 제내지 및 제외지의 공간확보 연구를 통해 해당 지자체의 토지매수계획의 참고자료로 이용 가능할 것으로 기대된다.

• Journal of Bio-Environment Control
• /
• v.31 no.3
• /
• pp.246-254
• /
• 2022

Domestic facility agriculture grows rapidly, such as modernization and large-scale. And the production scale increases significantly compared to the area, accounting for about 60% of the total agricultural production. Greenhouses require energy input to create an appropriate environment for stable mass production throughout the year, but the energy load per unit area is large because of low insulation properties. Through the rooftop greenhouse, one of the types of urban agriculture, energy that is not discarded or utilized in the building can be used in the rooftop greenhouse. And the cooling and heating load of the building can be reduced through optimal greenhouse operation. Dynamic energy analysis for various environmental conditions should be preceded for efficient operation of rooftop greenhouses, and about 40% of the solar energy introduced in the greenhouse is energy exchange for crops, so it should be considered essential. A major analysis is needed for each sensible heat and latent heat load by leaf surface temperature and evapotranspiration, dominant in energy flow. Therefore, an experiment was conducted in a rooftop greenhouse located at the Korea Institute of Machinery and Materials to analyze the energy exchange according to the growth stage of crops. A micro-meteorological and nutrient solution environment and growth survey were conducted around the crops. Finally, a regression model of leaf temperature and evapotranspiration according to the growth stage of leafy vegetables was developed, and using this, the dynamic energy model of the rooftop greenhouse considering heat transfer between crops and the surrounding air can be analyzed.

• Journal of Wetlands Research
• /
• v.21 no.spc
• /
• pp.39-50
• /
• 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 the Korean Association of Geographic Information Studies
• /
• v.23 no.2
• /
• pp.53-69
• /
• 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.

• Economic and Environmental Geology
• /
• v.54 no.2
• /
• pp.161-176
• /
• 2021

In this study, one of the distributed hydrologic models, VELAS, was used to analyze the variation of hydrologic elements based on water balance analysis to evaluate the groundwater recharge in more detail than the annual time scale for the past and future. The study area is located in Yanggok-ri, Seobu-myeon, Hongseong-gun, Chungnam-do, which is very vulnerable to drought. To implement the VELAS model, spatial characteristic data such as digital elevation model (DEM), vegetation, and slope were established, and GIS data were constructed through spatial interpolation on the daily air temperature, precipitation, average wind speed, and relative humidity of the Korea Meteorological Stations. The results of the analysis showed that annual precipitation was 799.1-1750.8 mm, average 1210.7 mm, groundwater recharge of 28.8-492.9 mm, and average 196.9 mm over the past 18 years from 2001 to 2018 in the study area. Annual groundwater recharge rate compared to annual precipitation was from 3.6 to 28.2% with a very large variation and average 14.9%. By the climate change RCP 8.5 scenario, the annual precipitation from 2019 to 2100 was 572.8-1996.5 mm (average 1078.4 mm) and groundwater recharge of 26.7-432.5 mm (average precipitation 16.2%). The annual groundwater recharge rates in the future were projected from 2.8% to 45.1%, 18.2% on average. The components that make up the water balance were well correlated with precipitation, especially in the annual data rather than the daily data. However, the amount of evapotranspiration seems to be more affected by other climatic factors such as temperature. Groundwater recharge in more detailed time scale rather than annual scale is expected to provide basic data that can be used for groundwater development and management if precipitation are severely varied by time, such as droughts or floods.