• 환경영향평가
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• 제28권5호
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• pp.483-491
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• 2019

파리 협약에 따른 post-2020에 대비하기 위한 환경영향평가(EIA : Environmental Impact Assessment) 측면에서의 온실가스 감축방안을 모색하였다. 2010~2019년 금강유역환경청의 EIA대상사업 중 26건의 환경영향평가서(EIS : Environmental Impact Statement)를 사례분석한 결과로, '온실가스 항목'은 대부분 형식적으로 작성된 것으로 분석되었다. 본 연구에서는 EIA시 '온실가스 항목'의 형식적 평가를 개선하기 위한 방안으로서, 1) EIA대상사업별 온실가스 배출량에 따른 배출부과금 할당, 2) "환경오염시설의 통합관리에 관한 법률"에 근거한 '허가배출기준 설정'에 '온실가스 항목'의 추가, 3)이해당사자들이 EIA대상 개발사업의 초기단계에 참여하는 거버넌스 확립으로 온실가스 감축 등을 제안하였고, 구체적인 내용을 논의하였다.

• 환경영향평가
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• 제20권2호
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• pp.107-121
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• 2011

To assess the impact of climate change on water quality in an impounded river basin, this study estimated future air temperature and rainfall in the years of 2020, 2050 and 2080 by statistically downscaling the simulation results from two GCM models combined with two emission scenarios (A2 and B1). Both scenarios were selected from the Special Report on Emission Scenarios (SRES) suggested by IPCC. The A2 scenario represents an extreme condition whereas the B1 scenario represents a clean and energy efficient condition which is similar to that of study basin. With the results of estimated climate factors and land use data, the discharge and the concentrations of BOD, TN and TP in the Andong dam basins were simulated using the SWAT model. The change in BOD concentration for the B1 emission scenario was greater than the A2 scenario in the annual increase range and the pollution level. The concentration of TN was decreased during March? June which is drought period and increased again afterward. In contrast to TN, the concentration of TP was generally decreased. The change in TP concentration was greater for the B1 scenario than the A2 scenario.

• 환경영향평가
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• 제22권6호
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• pp.677-693
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• 2013

IPCC showed that calculation of climate vulnerability index requires standardization process of various proxy variables for the estimation of climate exposure, sensitivity, and adaptive capacity. In this study, four different methodologies of standardization methods: Z-score, Rescaling, Ranking, and Distance to the reference country, are employed to evaluate climate vulnerability-VRI (Vulnerability-Resilience Indicator) over Korean peninsula, and the error ranges of VRI, arising from employing the different standardization are estimated. All of proxy variables are provided by CCGIS (Climate Change adaptation toolkit based on GIS) which hosts information on both past and current socio-economic data and climate and environmental IPCC SRES (A2, B1, A1B, A1T, A1FI, and A1 scenarios) climate data for the decades of 2000s, 2020s, 2050s, and 2100s. The results showed that Z-score and Rescaling methods showed statistically undistinguishable results with minor differences of spatial distribution, while Ranking and Distance to the reference country methods showed some possibility to lead the different ranking of VRI among South Korean provinces, depending on the local characteristics and reference province. The resultant VRIs calculated from different standardization methods showed Cronbach's alpha of more than 0.84, indicating that all of different methodologies were overall consistent. Similar horizontal distributions were shown with the same trends: VRI increases as province is close to the coastal region and/or it close toward lower latitude, and decreases as it is close to urbanization area. Other characteristics of the four different standardization are discussed in this study.

• 한국수자원학회논문집
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• 제42권10호
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• pp.877-889
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• 2009

본 연구에서는 SWAT(Soil and Water Assessment Tool) 모형을 이용하여 미래 기후변화가 충주댐 유역(6,585.1 km$^2$)의 하천수질에 미치는 영향을 분석하고자 하였다. 미래 기상자료는 IPCC에서 제공하는 A2, A1B, B1 배출시나리오를 포함하는 ECHAM5-OM 모형의 결과를 과거 30년(1977-2006, baseline period) 기후자료를 바탕으로 편이보정(bias correction)과 Change Factor Method로 Downscaling 하였다. 6년(1998-2003) 동안의 일별 유출량 및 월별 수질(SS, T-N, T-P) 자료를 이용하여 모형의 보정 및 검증을 실시한 후, Downscaling된 ECHAM5-OM의 A2, A1B, B1 시나리오에 대해 2020s, 2050s, 2080s로 대별되는 미래의 수문학적 거동 변화 및 하천수질 변화를 전망하였다.

• 한국농공학회논문집
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• 제63권6호
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• pp.1-16
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• 2021

Global warming due to climate change is expected to significantly affect the hydrological cycle of agriculture. Therefore, in order to predict the magnitude of climate impact on agricultural water resources in the future, it is necessary to estimate the water demand for irrigation as the climate change. This study aimed at evaluating the future changes in water demand for irrigation under two Shared Socioeconomic Pathways (SSPs) (SSP2-4.5 and SSP5-8.5) scenarios for paddy rice in Gimje, South Korea. The APEX-Paddy model developed for the simulation of paddy environment was used. The model was calibrated and validated using the H₂O flux observation data by the eddy covariance system installed at the field. Sixteen General Circulation Models (GCMs) collected from the Climate Model Intercomparison Project phase 6 (CMIP6) and downscaled using Simple Quantile Mapping (SQM) were used. The future climate data obtained were subjected to APEX-Paddy model simulation to evaluate the future water demand for irrigation at the paddy field. Changes in water demand for irrigation were evaluated for Near-future-NF (2011-2040), Mid-future-MF (2041-2070), and Far-future-FF (2071-2100) by comparing with historical data (1981-2010). The result revealed that, water demand for irrigation would increase by 2.3%, 4.8%, and 7.5% for NF, MF and FF respectively under SSP2-4.5 as compared to the historical demand. Under SSP5-8.5, the water demand for irrigation will worsen by 1.6%, 5.7%, 9.7%, for NF, MF and FF respectively. The increasing water demand for irrigating paddy field into the future is due to increasing evapotranspiration resulting from rising daily mean temperatures and solar radiation under the changing climate.

• 한국기후변화학회지
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• 제9권1호
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• pp.47-58
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• 2018

In this study, we evaluated the uncertainty in the process of selecting GCM and downscaling method for assessing the impact of climate change, and influence of user-centered climate change information on reproducibility of Chungju Dam inflow was analyzed. First, we selected the top 16 GCMs through the evaluation of spatio-temporal reproducibility of 29 raw GCMs using 30-year average of 10-day precipitation without any bias-correction. The climate extreme indices including annual total precipitation and annual maximum 1-day precipitation were selected as the relevant indices to the dam inflow. The Simple Quantile Mapping (SQM) downscaling method was selected through the evaluation of reproducibility of selected indices and spatial correlation among weather stations. SWAT simulation results for the past 30 years period by considering limitations in weather input showed the satisfactory results with monthly model efficiency of 0.92. The error in average dam inflow according to selection of GCMs and downscaling method showed the bests result when 16 GCMs selected raw GCM analysi were used. It was found that selection of downscaling method rather than selection of GCM is more is important in overall uncertainties. The average inflow for the future period increased in all RCP scenarios as time goes on from near-future to far-future periods. Also, it was predicted that the inflow volume will be higher in the RCP 8.5 scenario than in the RCP 4.5 scenario in all future periods. Maximum daily inflow, which is important for flood control, showed a high changing rate more than twice as much as the average inflow amount. It is also important to understand the seasonal fluctuation of the inflow for the dam management purpose. Both average inflow and maximum inflow showed a tendency to increase mainly in July and August during near-future period while average and maximum inflows increased through the whole period of months in both mid-future and far-future periods.

• 한국관개배수논문집
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• 제21권1호
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• pp.89-98
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• 2014

This study is to evaluate the future potential impact of climate change on soil erosion loss in a metropolitan area using Revised Universal Soil Loss Equation(RUSLE) with land use information of the Ministry of Environment and rainfall data for present and future years(30-year period). The spatial distribution map of vulnerable areas to soil erosion was prepared to provide the basis information for soil conservation and long-term land use planning. For the future climate change scenario, the MIROC3.2 HiRes A1B($CO_2720ppm$ level 2100) was downscaled for 2040-2069(2040s) and 2070-2099(2080s) using the stochastic weather generator(LARS-WG) with average rainfall data during past 30 years(1980-2010, baseline period). By applying the climate prediction to the RUSLE, the soil erosion loss was evaluated. From the results, the soil erosion loss showed a general tendency to increase with rainfall intensity. The soil loss increased up to 13.7%(55.7 ton/ha/yr) in the 2040s and 29.8%(63.6 ton/ha/yr) in the 2080s based on the baseline data(49.0 ton/ha/yr).

• 한국물환경학회지
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• 제25권4호
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• pp.507-514
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• 2009

In this study, a dynamic modeling scheme is presented to describe the probabilistic structure of soil water and plant water stress index under stochastic precipitation conditions. The proposed model has the form of the Fokker-Planck equation, and its applicability as a model for the probabilistic evolution of the soil water and plant water stress index is investigated under a climate change scenario. The simulation results of soil water confirm that the proposed soil water model can properly reproduce the observations and show that the soil water behaves with consistent cycle based on the precipitation pattern. The simulation results of plant water stress index show two different PDF patterns according to the precipitation. The simple impact assessment of climate change to soil water and plant water stress is discussed with Korean Meteorological Administration regional climate model.

• 대한원격탐사학회지
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• 제33권6_2호
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• pp.1119-1137
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• 2017

본 연구는 서울과 경기도 지역 도시숲의 수자원 공급 생태계서비스와 기후완화 생태계서비스를 평가하였다. 생태계서비스를 자연기능기반 서비스, 산림의 자연기능과 인구분포를 고려한 생태계서비스, 산림의 자연기능과 수혜자 분포를 고려한 생태계서비스의 세 가지 서비스로 구분하여 평가하고, 이후 기후변화가 생태계서비스에 미치는 영향을 평가하였다. 평가 결과, 토지피복과 토양 등 자연조건을 반영한 도시림의 수자원 공급서비스의 경우, 경기도가 서울보다 높은 서비스를 제공하는 것으로 나타났으며, 지역별 인구분포를 추가적으로 반영한 서비스 평가에서는 인구가 많은 곳에서 서비스가 높게 나타나는 양상을 보였다. 그러나 도시림의 수자원 수혜자 분포를 추가로 반영한 수자원 공급 생태계서비스 평가 결과는 인구분포를 반영한 서비스 평가 결과와 공간적으로 다르게 나타났다. 같은 수원함양 기능을 가진 지역이라도 인구분포나 물 사용 수혜자의 분포가 많은 지역일수록 높은 서비스 결과가 나타났다. 또한 기후변화가 수자원 공급 생태계에 서비스에 미치는 영향을 평가한 결과, 기후변화에 따른 수자원 공급 서비스는 평균적으로 26%정도 줄어들어 전반적인 수자원 공급 생태계서비스가 낮아지는 경향을 보였다. 기후완화부문의 경우, 산림으로부터 가까운 거리에 있을수록 높은 온도저감 효과가 나타나 산림주변지역에서 높은 기후완화서비스가 나타났으며, 기후 완화 서비스의 수혜자 인구를 고려한 생태계서비스 평가에서는 수혜인구의 밀도가 높은 서울 도심지역에서 높은 서비스가 나타났다. 기후변화에 따른 산림 생장량 변화를 반영하여 산림의 기후완화 생태계서비스의 변화를 평가한 결과, 평균적으로 약 33%의 서비스 감소가 나타났다. 본 연구의 결과는 도시림을 관리하기 위해서 산림청에서 제시하고 있는 공급기능기반의 6가지(자연환경보전, 산지재해방지, 목재생산, 산림휴양, 생활환경보전, 수원함양) 기능구분 외에 서비스를 수혜하는 수요자 기반의 기능 및 서비스가 평가의 필요성을 제시한다. 이는 기존의 산림의 공급기능기반의 평가에서 간과할 수 있는, 자연기능은 낮지만 수혜를 받는 시민들이 많아 높은 서비스 가치를 갖는 산림을 재평가하고 올바른 관리 계획을 수립하는데 기여할 수 있을 것으로 판단된다.

• 농업과학연구
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• 제48권2호
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• pp.311-331
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• 2021

Climate change with extreme hydrological events has become a significant concern for agricultural water systems. Climate change affects not only irrigation availability but also agricultural water requirement. In response, adaptation strategies with soft and hard options have been considered to mitigate the impacts from climate change. However, their implementation has become progressively challenging and complex due to the interconnected impacts of climate change with socio-economic change in agricultural circumstances, and this can generate more uncertainty and complexity in the adaptive management of the agricultural water systems. This study was carried out for the agricultural water supply system in Seongju dam watershed in Seonju-gun, Gyeongbuk in South Korea. The first step is to identify system disturbances. Climate variation and socio-economic components with historical and forecast data were investigated Then, as the second step, problematic trends of the critical performance were identified for the historical and future climate scenarios. As the third step, a system structure was built with a dynamic hypothesis (causal loop diagram) to understand Seongju water system features and interactions with multiple feedbacks across system components in water, agriculture, and socio-economic sectors related to the case study water system. Then, as the fourth step, a mathematical SD (system dynamics) model was developed based on the dynamic hypothesis, including sub-models related to dam reservoir, irrigation channel, irrigation demand, farming income, and labor force, and the fidelity of the SD model to the Seongju water system was checked.