• Journal of Environmental Impact Assessment
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• v.23 no.1
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• pp.39-50
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• 2014

In recent years, the frequency and scale of the natural disasters are growing rapidly due to the global climate change. In case of the urban flooding, high-density of population and infrastructure has caused the more intensive damages. In this study, we analyzed the spatial characteristics of urban flooding damage factors using GWR(Geographically Weighted Regression) for effective disaster prevention and then, classified the causes of the flood damage by spatial characteristics. The damage factors applied consists of natural variables such as the poor drainage area, the distance from the river, elevation and slope, and anthropogenic variables such as the impervious surface area, urbanized area, and infrastructure area, which are selected by literature review. This study carried out the comparative analysis between OLS(Ordinary Least Square) and GWR model for identifying spatial non-stationarity and spatial autocorrelation, and in the results, GWR model has higher explanation power than OLS model. As a result, it appears that there are some differences between each of the flood damage areas depending on the variables. We conclude that the establishment of disaster prevention plan for urban flooding area should reflect the spatial characteristics of the damaged areas. This study provides an improved understandings of the causes of urban flood damages, which can be diverse according to their own spatial characteristics.

• Environmental Analysis Health and Toxicology
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• v.26
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• pp.9.1-9.9
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• 2011

Objectives: In order to evaluate which temperature index is the best predictor for the health impact assessment of heat stress in Korea, several indexes were compared. Methods: We adopted temperature, perceived temperature (PT), and apparent temperature (AT), as a heat stress index, and changes in the risk of death for Seoul and Daegu were estimated with $^1{\circ}C$ increases in those temperature indexes using generalized additive model (GAM) adjusted for the non-temperature related factors: time trends, seasonality, and air pollution. The estimated excess mortality and Akaike's Information Criterion (AIC) due to the increased temperature indexes for the $75^{th}$ percentile in the summers from 2001 to 2008 were compared and analyzed to define the best predictor. Results: For Seoul, all-cause mortality presented the highest percent increase (2.99% [95% CI, 2.43 to 3.54%]) in maximum temperature while AIC showed the lowest value when the all-cause daily death counts were fitted with the maximum PT for the $75^{th}$ percentile of summer. For Daegu, all-cause mortality presented the greatest percent increase (3.52% [95% CI, 2.23 to 4.80%]) in minimum temperature and AIC showed the lowest value in maximum temperature. No lag effect was found in the association between temperature and mortality for Seoul, whereas for Daegu one-day lag effect was noted. Conclusions: There was no one temperature measure that was superior to the others in summer. To adopt an appropriate temperature index, regional meteorological characteristics and the disease status of population should be considered.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.1-9
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• 2020

Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought has increased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilities for agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the water surface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurement techniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measure changes in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing image combined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2 satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this study is general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resources management for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.591-593
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• 2017

The phenomena of disasters are changing from the individual disasters confined to the local areas, to complex disasters, a combination of natural and social disasters, caused by climate change and overcrowding urbanization. Therefore, the request of the complex disaster simulation system to respond to complex disasters caused by natural disasters and social disasters is getting increases. In this paper, we introduce the simulation system in case of natural disasters and social disasters that occur as a complex disaster, and discuss the issues to be considered when constructing the integrated inventory, which is a key component in constructing a complex disaster simulation system. Because the simulation results for disasters can vary depending on the configuration of the inventory taking into account the regional characteristics, a reliable and consistent inventory configuration is required for reliable complex disaster simulation.

• Journal of Soil and Groundwater Environment
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• v.22 no.6
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• pp.66-73
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• 2017

Empirical erosion models like Universal Soil Loss Equation (USLE) models have been widely used to make spatially distributed soil erosion vulnerability maps. Even if the models detect vulnerable sites relatively well utilizing big data related to climate, geography, geology, land use, etc within study domains, they do not adequately describe the physical process of soil erosion on the ground surface caused by rainfall or overland flow. In other words, such models are still powerful tools to distinguish the erosion-prone areas at large scale, but physics-based models are necessary to better analyze soil erosion and deposition as well as the eroded particle transport. In this study a physics-based soil erosion modeling system was developed to produce both runoff and sediment yield time series at watershed scale and reflect them in the erosion and deposition maps. The developed modeling system consists of 3 sub-systems: rainfall pre-processor, geography pre-processor, and main modeling processor. For modeling system validation, we applied the system for various erosion cases, in particular, rainfall-runoff-sediment yield simulation and estimation of probable maximum sediment (PMS) correlated with probable maximum rainfall (PMP). The system provided acceptable performances of both applications.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.1
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• pp.53-60
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• 2020

Due to global climate change, Korea is experiencing flooding and drought severely. It is hard to manage water resources because intensive precipitation during short periods and drought are commonly occurred in Korea, recently. Severe drought occurred in 2015 and 2017 in the islands, and coastal and inland areas in Korea, and the citizens experienced decreased water supply and emergency water service by using bottled water. Therefore, the Korean government provided additional governmental funds such as the grant of drought disaster. In this study, we tried to calculate the cost of water for drought response based on the cost of tap water for the regional local governments in Korea and the grant of drought disaster by the Ministry of the Interior and Safety in Korea, etc. The estimated costs of water for drought responses in coastal and inland areas which have a chance to apply alternative water sources such as brackish or seawater desalination and water reuse in Korea were higher than in other areas in Korea. Additionally, as the novel approach of drought response, the 300 ㎥/day-scale desalination vessel was suggested to provide desalinated water for the islands in Korea. The estimated expenses of water supply for the target island areas (Sinan-gun and Jindo-gun) by the desalination vessel was lower than those by emergency water service by using bottled water.

• Journal of Korean Society on Water Environment
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• v.32 no.2
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• pp.183-190
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• 2016

Monitored data (rainfall runoff and water quality) from 4 different paddy sites over 3 years were compared to analyze the effect of irrigation water management on irrigation supply and rainfall runoff quality in Korea. The system of rice intensification water management was adopted at one site (SRI) while the conventional water management method was used for rice culture at the other three sites (CT, SD and HD). The soil texture at SRI, CT and SD was sandy loam while that at HD was silt loam. The average reduction of irrigation supply at SRI compared with CT, SD and HD during the 3 years studied was 49%, 51% and 55%, respectively. The average event mean concentration (EMC) at SRI compared with that at CT, SD and HD was decreased by 35% (BOD), 44% (COD), 47% (SS), 19% (TN) and 38% (TP). The correlation between rainfall runoff and the measured non-point source (NPS) pollutants was very good in general. The comparison revealed that SRI water management significantly reduced both irrigation supply and EMC in rainfall runoff. Paddy NPS pollution was closely related to factors that induce runoff such as rainfall and irrigation supply. It was concluded that SRI management could be an effective and practical option to cope with both water shortage due to climate change and water quality improvement in rural watersheds. However, further studies are recommended in large irrigation districts for use in the development and implementation of NPS pollution policies since the data was collected from field sized paddies.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.32-44
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• 2019

Based on the characteristics of cultural expressions, this paper compares and analyzes the cases of representative commercial architectural spaces of six largest cities in China.In order to promoting the sustainable development of the indoor space culture of modern commercial buildings in China.Six cases were analyzed from the viewpoints of cultural tradition, locality, popularity, technology, and ecology. The results are as follows. First, the tradition of culture requires the emphasis on the traditional elements of specific areas in the interior space of commercial architecture.Second, the regional character of culture is closely related to the social and natural environment factors such as the economic development of the interior space of commercial architecture, historical intrinsic space, geographical environmental conditions, and climate.Fourth, the technicality of culture is to integrate construction method, structure form, and material with local culture into commercial architecture interior space.Fifth, cultural ecology places attention to placing plants in the interior space of commercial architecture and creating a healthy, pleasant and safe environment.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.22-22
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• 2017

일반적으로 기후변화 연구에서는 미래 기후변화 전망에 존재하는 불확실성을 고려하기 위해 다양한 Global Circulation Model (GCM) 시나리오를 고려하는 앙상블기법을 사용한다. 하지만 모든 GCM 시나리오들을 전부 사용하는 것은 많은 계산시간과 노력을 요구하기 때문에 비효율 적이다. 따라서 최소한의 시나리오로 최대한의 기후변화 변동성을 포함할 수 있는 대표 시나리오 선정 및 적용이 필요하다. 본 연구에서는 군집분석 기법 중에 하나인 KKZ 알고리즘을 활용하여 지역 수문 영향분석을 위한 대표 시나리오를 선정하였다. 먼저 27개 ETCCDI 기상변수들로부터 대표 기상변수들을 선정하고 미래 기간에 대한 상대변화를 90%이상 포함시키는 대표 시나리오를 선정하였다. KKZ 알고리즘을 활용할 경우 전체 26개 GCM에 대해 우선순위별로 시나리오를 하나씩 증가시켜 선정하기 때문에, 시나리오를 하나씩 증가시킬 때 마다 미래 기후변동성이 어느 정도 표현되는지 분석하였다. 그리고 선정된 GCM 시나리오들을 금강유역을 대상으로 수문 모형에 입력하여 미래 수문영향 분석을 실시하였다. 이를 통해 대표 시나리오를 통해 전망한 미래 수문변화량이 전체 상대변화량 대비 어느 정도의 변화량을 포함시킬 수 있는지 분석하였다. 그리고 홍수 및 가뭄과 관계된 기상변수 그룹을 각각 선정 한 후 이를 바탕으로 새롭게 대표 시나리오들을 선정하였다. 이를 바탕으로 수문 영향분석을 실시하여 각각의 시나리오들이 홍수 및 가뭄전망 상대변화량을 얼마나 잘 포함시킬 수 있는지도 분석하였다. 이와 같이, 본 연구는 적은 수의 대표 시나리오의 선정을 통해 미래 기후변화 변동성을 최대한 포함시킬 수 있음으로서 불필요한 수문모의 시간을 절약할 수 있음을 보여주었다.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.103-113
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• 2019

The purpose of this study is to recognize the importance of sustaining the coal industry in spite of the declaration of new climate change regime. Due to the importance to have the ability to control the supply and demand for energy source, this study will present the ground supporting the need to save some fixed amount of coal to carry out this task. The relative quantity of fossil fuel like coal and oil consumed as an energy source is reduced due to the increasing portion of renewable energy sources. Nevertheless, we can verify the fact that the position as a main energy source in demand for and supply of electric power is still valid. And the optimal amount of coal storage is estimated through the average annual amount of demand derived from preceding studies. In this context, it is very urgent problem to maintain the coal industry as a industrial policy for the sustainable national economic growth through the coal storage policy and to determine the optimal amount of annual storage.