• Journal of Korea Water Resources Association
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• v.45 no.12
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• pp.1201-1211
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• 2012

This paper constructed the single country sequential dynamic CGE model to analyze the economic impacts of subsidizing water industry under the GHG emission abatement policy in Korea. We introduced the carbon tax to reduce the GHG emission and made two scenarios. One is to transfer the total tax revenue to household. The other is to mix the tax transfer and water industry support. Our Simulation results show that the macroeconomic effects might be positive by subsidizing water industry compared with the pure tax transfer. However, the support of water industry doesn't contribute to head for the non-energy intensive economy because it's economic activity highly depend on fossil energy and energy intensive products as intermediate demand. This means that it is important to make efforts on the cost effective measures such as energy technology progress, alternative energy development, and energy efficiency improvement in water industry against climate change policy.

• Journal of Korean Society of Rural Planning
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• v.26 no.1
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• pp.1-12
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• 2020

다수의 국가에서 농촌이 쇠퇴하는 현상을 확인할 수 있으며, 특히 경작 포기지의 비율이 빠른 속도로 향상되고 있다. 일본에서 경작 포기지의 증가는 농작물의 국내 자급률 감소, 농지의 중요한 기능 중 하나인 자연재해 방지 기능의 상실, 그리고 농촌 지역사회가 계승해 오던 다양한 형태의 무형적 자산의 소실 등을 야기하였다. 농지와 농촌 지역사회 활동의 보존은 지속가능한 개발을 위해 필수적인 요소이다. 생태계 서비스는 농지가 보유한 기능 중 하나이며, 일본의 중산간 지역 직불제는 농지의 보전과 농촌 지역사회 활동을 지원하여 생태계 서비스 보존 및 유지에 일조하기에 생태계 서비스에 대한 지불(PES)이라 볼 수 있다. 본 연구의 목표는 중산간지역 직접지불제도의 혜택을 받는 지역과 RCP8.5 시나리오 하에서의 자연재해 피해액 간의 관계를 파악하여 직불제의 효율성을 간접적으로 검증하는 것이다. 본 연구의 대상지는 일본 홋카이도의 농지 전체이며, 2005년, 2010년, 2015년의 강우량 예측 패널 데이터와 농업 센서스 패널 데이터를 이용하여 한계효과를 구하여 분석하였다. 분석 결과, 중산간지역 직불제 해당지역이면서 농촌 지역사회 활동이 활발할수록 자연재해 피해액이 적었다. 따라서 특히 중산간지역 직불제 해당지역일수록 재해피해 감소를 위해 농촌 지역사회 활동이 필수적으로 요구된다. 본 연구의 의의는 중산간지역 직불제의 효율성을 자연재해 피해액을 통해 검증한 데 있으며, 향후 직불제의 효율성에 대한 논의에 기초자료로 활용될 수 있다.

• Korean Journal of Environmental Biology
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• v.32 no.4
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• pp.327-334
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• 2014

Emission reduction of $CH_4$ (methane gas) from rice paddy soil is a very important measure for climate change mitigation in agricultural sector. In this study, we investigated the changes in crop yield and $CH_4$ emissions in response to application of biochar and fertilizers. The experimental site is located in Hwasung, Kyunggido and experimental design is the split-plot method with three replicates. Treatments included rice straw (RS) and biochar (BC) amendments nested with the conventional NPK fertilizer (NPK) and slow release fertilizer (SRF). Control was also prepared with the soil with the conventional NPK fertilization with no amendment. Measurement of $CH_4$ emission was conducted during the growing season of 2014 using a dynamic chamber method. The results showed that application of rice straw increased daily $CH_4$ emission rate by 15%, while application of biochar reduced daily $CH_4$ emission rate by 38%. When we combined biochar application with slow release fertilizer, $CH_4$ emission was reduced by 45%. Further, the crop yield was also increased in all treatments compared with the control except for the treatment of rice straw application with slow release fertilizer. Overall results imply that biochar amendment to agricultural soil can be an effective strategy to decrease annual $CH_4$ emission with no reduction in crop yield.

• Korean Journal of Environmental Agriculture
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• v.31 no.1
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• pp.75-95
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• 2012

BACKGROUND: Increase of heavy metals in agricultural ecosystem has become a social issue nationwide as it is related to public health. This review was performed to find out more systematic and integrated future researches on heavy metals using up to date articles published in the Korean journals related to agricultural environment. METHODS AND RESULTS: Researches on heavy metals in agricultural soils and plant uptake were categorized by the establishment of criteria, analytical methods, monitoring, management of source, characteristics and behavior in soil, plant uptake, bioavailability affecting physico -chemical properties in soil, risk assessment and soil remediation. In the early 1990s, the monitoring for heavy metals in soil has been widely performed. Accumulation of heavy metals in contaminated soil and availability to plants has also attracted interests to study the soil remediation using various physico-chemical methods. The phytoavailability and phytotoxicity of heavy metals have been mainly studied to assess the safety of agro-products using risk assessment techniques in the 2000s. CONCLUSION: Future direction of research on heavy metal in agricultural environment must be carried out by ensuring food safety and sustainability. A steady survey and proper management for polluted regions should be continued. Law and regulation must be modified systematically. Furthermore, studies should expand on mitigation of heavy metal uptake by crops and remediation of polluted fields.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.94-94
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• 2012

기후변화 대응은 온실가스 배출의 감축 및 흡수원을 확대하는 완화(mitigation)와 기후변화로 인한 영향과 취약성을 평가하여 피해를 최소화하는 적응(adaptation)이 상호 균형을 이루어야 한다. 지금까지 우리나라를 포함한 국제사회는 대부분 완화를 위해 노력해 왔지만 최근에 들어 완화만으로는 기후변화의 영향을 회피하기 어렵다는 사실이 인식되면서 적응 연구가 다양하게 이루어지고 있다. 이러한 상황 가운데 적응 계획의 실현화를 위해서 기후변화의 불확실성을 고려한 의사 결정에 관한 연구가 반드시 뒷받침 되어야 한다. 기존의 일반적인 의사결정은 다양한 미래 시나리오들 하에 가장 높은 효용을 가져오는 최적(Optimal)의 대안을 채택하는 고전적 결정분석(Classical Decision Analysis)의 프레임을 사용하였다. 그러나 기후변화로 인해 미래 기후 예측 시나리오의 불확실성이 증대되면서 최근에는 최적의 대안을 선정하는 것에 대한 의문이 제기되며 새로운 기법에 대한 연구가 이루어지고 있다. 본 연구는 기후변화의 불확실성을 고려하기 위한 새로운 의사결정 기법인 로버스트 의사결정(Robust Decision Making, RDM)을 실제유역의 적용을 통해 제안하고자 한다. 로버스트 의사결정은 RAND에서 개발한 것으로 최적의 대안을 채택하는 것 대신 모든 가능한 시나리오 가운데 가장 안정적인 전략을 채택한다는 것에서 기존의 의사결정 체계와 차이가 있다. 연구의 적용은 안동-임하댐 유역을 대상으로 온실 가스 배출 시나리오 A1B, A2, B1시나리오에 대해 15개의 GCMs에서 산출된 기후자료를 기반으로 기후변화의 시나리오를 작성하였으며, 다양한 측면의 대안을 설정하여 용수공급량을 평가하였다. 연구의 결과로 산정될 각 대안 별 안정적인 정도와 취약한 시나리오에 대한 정보는 기후변화의 불확실성을 전제한 의사결정을 할 때 로버스트 의사결정이 갖는 장점이 될 수 있다.

• Journal of Korea Water Resources Association
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• v.41 no.10
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• pp.1023-1034
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• 2008

The size and frequency of the natural disaster related to the severe storms are increased for recent decades in all over the globe. The damage from natural disasters such as typhoon, storm and local severe rainfall is very serious in Korea since they are concentrated on summer season. These phenomena will be more frequent in the future because of the impact of climate change related to increment of $CO_2$ concentration and the global warming. To reduce the damage from severe storms, a short-range precipitation forecasting model using a weather radar was developed. The study was conducted as following four tasks: conversion three-dimensional radar data to two-dimensional CAPPI(Constant Altitude Plan Position Indicator) efficiently, prediction of motion direction and velocity of a weather system, estimation of two-dimensional rainfall using operational calibration. Results demonstrated that two-dimensional estimation using weather radar is useful to analyze the spatial characteristics of local storms. If the precipitation forecasting system is linked to the flood prediction system, it should contribute the flood management and the mitigation of flood damages.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.195-195
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• 2016

Kon - Ha Thanh River basin is the largest and the most important river basin in Binh Dinh, a province in the South Central Coast of Vietnam. In the lower rivers, frequent flooding and inundation caused by heavy rains, upstream flood and or uncontrolled flood released from upstream reservoirs, are very serious, causing damage to agriculture, socio-economic activity, human livelihood, property and lives. The damage is expected to increase in the future as a result of climate change. An advanced flood warning system could provide achievable non-structural measures for reducing such damages. In this study, we applied a modelling system which intergrates a 1-D river flow model and a 2-D surface flow model for simulating hydrodynamic flows in the river system and floodplain inundation. In the model, exchange of flows between the river and surface floodplain is calculated through established links, which determine the overflow from river nodes to surface grids or vice versa. These occur due to overtopping or failure of the levee when water height surpasses levee height. A GIS based comprehensive raster database of different spatial data layers was prepared and used in the model that incorporated detailed information about urban terrain features like embankments, roads, bridges, culverts, etc. in the simulation. The model calibration and validation were made using observed data in some gauging stations and flood extents in the floodplain. This research serves as an example how advanced modelling combined with GIS data can be used to support the development of efficient strategies for flood emergency and evacuation but also for designing flood mitigation measures.

• Journal of Soil and Groundwater Environment
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• v.23 no.2
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• pp.23-29
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• 2018

This study explored secondary effects of the residual hydrofluoric acid (HF) after a hypothetical acid spill accident by investigating the long-term dissolution of minerals and leaching of pre-existing arsenic (As) from two soil samples (i.e., KBS and KBM) through batch and column experiments. An increase in the HF concentration in both soil samples resulted in a dramatic increase in the release of major cations, especially Si. However, the amounts of mineral dissolved were dependent on the soil type and mineral characteristics. Compared to the KBM soil, relatively more Ca, Mg and Si were dissolved from the KBS soil. The column experiment showed that the long-term dissolution rates of the minerals are closely associated with the acid buffering capacity of the two soils. The KBM soil had relatively higher effluent pH values compared to the KBS soil. Also, more As was leached from the KBM soil, with a more amorphous hydrous oxide-bound As fraction. These results suggest that the potential of heavy metal leaching by the residual acid after an acid spill will be influenced by heavy metal speciation and mineral structure in the affected soil.

• Journal of Korea Water Resources Association
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• v.54 no.9
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• pp.705-718
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• 2021

Climate change has a significant impact on vegetation growth and terrestrial ecosystems. In this study, the possibility of ecological drought was investigated using satellite remote sensing data. First, the Vegetation Health Index was estimated from the Normalized Difference Vegetation Index and Land Surface Temperature provided by MODIS. Then, a joint probability model was constructed to estimate the possibility of vegetation-related drought in various precipitation/evaporation scenarios in forest areas around 60 major ASOS sites of the Meteorological Administration located throughout Korea. The results of this study show the risk pattern of drought related to forest vegetation under conditions of low atmospheric moisture supply or high atmospheric moisture demand. It also identifies the sensitivity of drought risks associated with forest vegetation under various meterological drought conditions. These findings provide insights for decision makers to assess drought risk and develop drought mitigation strategies related to forest vegetation in a warming era.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.5
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• pp.1-10
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• 2019

Due to the climate change the drought had been occurring more frequently in recent two decades as compared to the previous years. The change in the pattern and frequency of the rainfall have a direct effect on the farming sector; therefore, the quantitative estimation of water supply is necessary for efficient agricultural water reservoir management. In past researches, there had been several studies conducted in estimation and evaluation of water supply based on the irrigational water requirement. However, some researches had shown significant differences between the theoretical and observed data based on this requirement. Thus, this study aims to propose an approach in estimating reservoir rate based on empirical method that utilized observed reservoir rate data. The result of these two methods in comparison with the previous one is seen to be more fitted for both R2 and RMSE with the observed reservoir rate. Among these procedures, the method that considers the drought year data shows more fitted outcomes. In addition, this new method was verified using 15-year (2002 to 2006) linear regression equation and then compare the preceeding 3-year (1999 to 2001) data to the theoretical method. The result using linear regression equation is also perceived to be more closely fitted to the observed reservoir rate data than the one based on theoretical irrigation water requirement. The new method developed in this research can therefore be used to provide more suitable supply data, and can contribute to effectively managing the reservoir operation in the country.