• Journal of Korea Water Resources Association
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• v.47 no.1
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• pp.71-82
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• 2014

The objective of this study is to project and analyze drought conditions using future climate and hydrology information over South Korea. This study used three Global Climate Models (GCMs) and three hydrological models considering the uncertainty of future scenario. Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI) and Standardized Soil moisture Index (SSI) classified as meteorological, hydrological and agricultural droughts were estimated from the precipitation, runoff and soil moisture. The Mann-Kendall test showed high increase in future drought trend during spring and winter seasons, and the drought frequency of SRI and SSI is expected higher than that of SPI. These results show the high impact of climate change on hydrological and agriculture drought compared to meteorological drought.

• Journal of the Korean association of regional geographers
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• v.17 no.5
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• pp.521-535
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• 2011

This study intended to explain the relationship between climate change and magnetic susceptibility of estuarine sediment. Data of OSL dating and magnetic susceptibility from estuarine tidal sediment were compared with various climate change data. During the last Holocene, the intense of magnetic susceptibility related with weaker Siberian High and stronger Asian Summer Monsoon. It is explained that high precipitation and runoff made much fluvial sediment input to the estuary. From the early to mid Holocene, there is no clear relationship between climate change and MS because of the much coastal sediment input caused by rapid sea level rise and the formation of upland soil and coastal marsh. These results contribute to reconstruct paleo-environmental changes of west coast of Korea, in the way of using benefit of ubiquitous estuarine tidal flats and relatively useful magnetic susceptibility methodoloy.

• Journal of Climate Change Research
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• v.5 no.3
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• pp.209-218
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• 2014

In this study, the researchers have developed the greenhouse gas emission coefficients targeted at sewage sludge incineration plants that treat sewage sludge by incineration. Among the gases emitted from the sewage sludge incineration plants, the greenhouse gases showed concentrations of 6.84% for $CO_2$, 4.51 ppm for $CH_4$, and 86.34 ppm for $N_2O$; calculated into greenhouse gas emission coefficients, these gave $276.06kg\;CO_2/ton$, $0.0066kg\;CH_4/ton$, and $0.35kg\;N_2O/ton$. As the result of calculating the greenhouse gas emission quantity in sewage sludge incineration plants using the greenhouse gas emission coefficients, the gross greenhouse gas emission was $84.63ton\;CO_2\;eq./day$, and the net emission was $23.90ton\;CO_2\;eq./day$; this was $37.52ton\;CO_2\;eq./day$ less than the net greenhouse gas emission that was calculated using the standard values of IPCC, which was $61.42ton\;CO_2\;eq./day$. This difference is probably because unlike the standard values of IPCC, the greenhouse gas emission coefficients of this study reflected the special properties of subject facilities. Thus, it is thought that emission coefficient research on the facilities that deviated from the standard values of IPCC should continue to achieve the development of national greenhouse gas coefficient that reflects the special properties of Korea.

• Atmosphere
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• v.32 no.4
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• pp.395-409
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• 2022

A new soil moisture initialization scheme is applied to the Korea Meteorological Administration (KMA) Global Seasonal forecasting system version 6 (GloSea6). It is designed to ingest the microwave soil moisture retrievals from Soil Moisture Active Passive (SMAP) radiometer using the Local Ensemble Transform Kalman Filter (LETKF). In this technical note, we describe the procedure of the newly-adopted initialization scheme, the change of soil moisture states by assimilation, and the forecast skill differences for the surface temperature and precipitation by GloSea6 simulation from two preliminary experiments. Based on a 4-year analysis experiment, the soil moisture from the land-surface model of current operational GloSea6 is found to be drier generally comparing to SMAP observation. LETKF data assimilation shows a tendency toward being wet globally, especially in arid area such as deserts and Tibetan Plateau. Also, it increases soil moisture analysis increments in most soil levels of wetness in land than current operation. The other experiment of GloSea6 forecast with application of the new initialization system for the heat wave case in 2020 summer shows that the memory of soil moisture anomalies obtained by the new initialization system is persistent throughout the entire forecast period of three months. However, averaged forecast improvements are not substantial and mixed over Eurasia during the period of forecast: forecast skill for the precipitation improved slightly but for the surface air temperature rather degraded. Our preliminary results suggest that additional elaborate developments in the soil moisture initialization are still required to improve overall forecast skills.

• Particle and aerosol research
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• v.18 no.4
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• pp.87-95
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• 2022

Currently, droplet protective screens (DPSs) are used to prevent the spread of respiratory diseases. As virus particles can maintain their infective in indoor environments, recent studies have investigated the risk of airborne transmission. However, the ability of DPSs to block airborne transmission has not been verified yet. In this study, the preventive ability of DPSs against droplet and airborne transmission was evaluated. Moreover, the effectiveness of a Portable air purifier (PAP) was investigated. According to results, in a simulated room where an infectious person spoke, the DPS blocked more than 90% of the micron-sized droplets (with a diameter larger than 1 ㎛) transmitted to the front of the infectious person. However, sub-micron droplets (with a diameter smaller than 1 ㎛) passed through the DPS and spread in a room. However, the PAP reduced the amount of both micron and sub-micron droplets transmitted to the front of the infectious person. When the PAP airflow direction was set from the DPS surface to the free space near the infectious person, improved prevention against droplet and airborne transmission was recorded. However, airborne transmission was accelerated when the PAP airflow direction was set from the free space to the DPS surface.

• Atmosphere
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• v.33 no.4
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• pp.423-440
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• 2023

The updated version of Global Ocean Data Assimilation and Prediction System (GODAPS) in the NIMS/KMA (National Institute of Meteorological Sciences/Korea Meteorological Administration), which has been in operation since December 2021, is being introduced. This technical note on GODAPS2 describes main progress and updates to the previous version of GODAPS, a software tool for the operating system, and its improvements. GODAPS2 is based on Forecasting Ocean Assimilation Model (FOAM) vn14.1, instead of previous version, FOAM vn13. The southern limit of the model domain has been extended from 77°S to 85°S, allowing the modelling of the circulation under ice shelves in Antarctica. The adoption of non-linear free surface and variable volume layers, the update of vertical mixing parameterization, and the adjustment of isopycnal diffusion coefficient for the ocean model decrease the model biases. For the sea-ice model, four vertical ice layers and an additional snow layer on top of the ice layers are being used instead of previous single ice and snow layers. The changes for data assimilation include the updated treatment for background error covariance, a newly added bias scheme combined with observation bias, the application of a new bias correction for sea level anomaly, an extension of the assimilation window from 1 day to 2 days, and separate assimilations for ocean and sea-ice. For comparison, we present the difference between GODAPS and GODAPS2. The verification results show that GODAPS2 yields an overall improved simulation compared to GODAPS.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2B
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• pp.181-191
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• 2009

This study suggests the assessment technique for climate change effect on drought in Korea based on the AR4 SRES A2 scenario reported in IPCC fourth assessment report in 2007. IPCC provides monthly outputs of 24 climate models through the DDC. One of the models is BCM2 model which was developed at BCCR in Norway and NCEP data is used for downscaling. The K-NN(K-Nearest Neighbor) and ANN(Artificial Neural Network) are selected as downscaling technique to downscale the temperature and precipitation at Seoul station in Korea. K-NN could downscale both temperature and precipitation well. ANN made a good result for temperature, but it gave a divergence result in precipitation. Finally, SPI of Seoul station is computed to evaluate the effect of climate change on drought. BCM2 predicted that temperature will increase and drought severity will increase because of the increased drought spell at Seoul station.

• Journal of Korean Society of Water and Wastewater
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• v.33 no.6
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• pp.421-428
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• 2019

This study developed an evaluation system of adaptation countermeasures for climate change in the water resources sector using the Analytic Hierarchy Process (AHP), and the assessment procedures were applied to the Second Chungcheongnam-do Climate Change Adaptation Implementation Plan (Chungnam Implementation Plan). Firstly, the evaluation criteria are composed of two levels according to the hierarchical structure, and AHP gives priority to 4 evaluation criteria of the first level and 16 alternative indicators of the second level. Secondly, after the importance of the evaluation criteria or indicators has been determined, the significance of each measure was evaluated by applying it to the water-sector measures of the Chungnam Implementation Plan, and the effectiveness of the evaluation system was validated. The Chungnam case study shows that the evaluation system will be more effective and efficient when it is applied during development phase rather than after the implementation plan is finalized. It is also expected that the evaluation system will be used to evaluate and prioritize climate change adaptation policies in other regions, and then to compare the means of adaptation to climate change in various regions and to select recommendation policies.

• Journal of Appropriate Technology
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• v.5 no.2
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• pp.118-125
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• 2019

Climate change is one part of 17 Sustainable Development Goals (SDGs). According to the Fifth Assessment Report by the Inter- governmental Panel on Climate Change(IPCC) published in 2014, global warming is caused by greenhouse gas (GHG) emissions. The most important GHG is carbon dioxide (CO₂), which is released by the burning of fossil fuels and, to a lesser extent, by land use practices, followed by nitrous oxide and methane. IPCC predicts that global temperatures will rise 3.7℃ and sea level will rise 0.63 m by 2099 in the case of no strong restraint. According to the report, we can expect a massive species extinctions, changes in storm and drought cycles, altered ocean circulation, and redistribution of vegetation by global warming. However, climate changes, especially global warming, are the largest potential threat to human health and the source of a number of diseases globally. If climate changes are continued uncontrolled, human health will be adversely affected by the accelerating climate change and the natural disaster induced by climate change. It means we will face more serious conditions of injury, disease, and death related to natural disasters such as flood, drought, heat waves, malnutrition, more allergy, air pollution and climate change related infections related to morbidity and mortality. This review emphasizes on the relationship between global climate changes and human health and provides some suggestions for improvement.

• The Magazine for Energy Service Companies
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• s.55
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• pp.36-39
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• 2008

클린턴 기후변화 이니셔티브(이하 CCI)는 미국의 빌 클린턴 전 대통령이 실질적이고, 측정이 가능하면서도 획기적인 방법으로 기후 변화 문제를 해결하기 위해 시작한 프로그램이다. 현재 각국의 정부 및 자치단체들과 협력하여 다양한 사업을 펼치고 있는 CCI에 대해 알아본다.