The function failure of present major facilities is likely to lead to failure of related systems and/or whole facilities, increasing the necessity for protection of infrastructures, main structures, and major industrial facilities. In addition, safe and efficient management for urban infrastructure (waterworks and sewerage facilities, electricity, telecommunications, roads, etc) installed in the basement or on large cities grounds at various public areas is required. Recently in response to this demand, efforts for vitalizing asset management are being made such as enacting related laws and developing asset management system in the U.S., Australia, Europe and other advanced countries with the concept for a new maintenance. In our county, identifying maintenance system problems such as aging and rapid increasing of existing infrastructures and decision-making about updating maintenance is required for systematic and organizational maintenance. In this study, by comparing and observing the LOS(Level of Service) of each countries’ waterworks and risk-based LOS, we suggest the direction of future urban water infrastructure management systems for more effective management.
This study examines the contribution level of greenhouse gas(GHG) emission reduction and installation costs of renewable energy facilities. The GHG emission forecasts and industrial structures in the 16 regions of Korea are then analyzed to identify the proper supply of renewable energy sources for each region. The results show that water power is the most effective and efficient renewable energy source to reduce GHG emissions, followed by sunlight, wind power, geothermal heat, and solar heat, respectively. The 16 regions are then categorized into 4 groups based on their GHG emission forecast and industrial structure: high emission and manufacturing group, low emission and manufacturing group, low emission and service group, and high emission and service group. The proper supply of renewable energy sources for each group is then determined based on the contribution level and cost efficiency of GHG emission reduction.
이 연구에서는 농촌지역에 대한 발전수준을 종합적으로 판단할 수 있는 지표체계를 설정하였으며, 실제 데 이터를 이용해 세 가지 유형의 시ㆍ군 지역 (일반시, 도농통합시, 군)별로 설정된 지표의 수준을 비교, 분석하 였다. 또한 각 지표의 분포가 어떤 통계분포에 적합한지를 시ㆍ군 유형별로 추정하였다. 지표의 체계는, 지역 주민들이 쾌적한 일상생활을 살아가는데 필요한 각종 생활환경시설을 나타내는 생활환경지표와, 지역이 경제 적으로 얼마나 활성화되어 있는가와 지역의 성장에 가장 중요한 인적 자원의 규모와 구조가 어떠한가를 보여 주는 지역활력지표의 2가지로 분류한다. 생활환경지표는 주택, 도로, 상ㆍ하수도 등 생활환경을 대표하는 4개 의 지표로 구성되며, 지역활력지표는 경제, 재정, 인구 등의 부문을 대표하는 5개의 지표로 구성된다. 주택부문 의 수준은 군 지역이 다른 지역보다 더 떨어진 것을 알 수 있었으며, 도로부문의 지표는 일반시가 다른 유형 의 시ㆍ군 지역보다 월등히 높은 것으로 나타났다. 상ㆍ하수도 개발 수준은 일반시가 가장 높으며, 다음으로 도농통합시, 군 지역의 순이다. 고용수준은 군 지역이 가장 높고, 소득의 대리변수로 채택한 1인당지방세액 수 준은 도농통합시가 가장 높게 나타났다. 지방재정의 지표에 있어서는 군 지역이 월등히 높았고, 인구증가율은 일반시와 도농통합시, 군 지역이 정체 상태로 모두 비슷한 수준을 나타내고 있어 유형별로도 별 차이가 없다 는 것을 알 수 있다. 총인구수에 대한 노동가능인구수의 비율에 있어서는 일반시가 가장 높게 나타났다.
본 논문에서는 기후변화로 인한 한반도 주요 권역에서의 미래 평균해수면 상승을 장기 조위자료를 사용하여 통계적으로 추정하는 연구를 수행하였다. 먼저 5개 조위 관측소로부터 얻어진 장기 조위자료에 대한 비모수적 경향성 검정인 Mann-Kendall 검정을 통해 관측된 자료의 경향성을 검정하였으며, 이를 보다 정량적으로 분석하기 위하여 Bayesian 변동점 분석 기법을 적용하였다. 특히 이 연구에서는 4개의 미래 평균해수면 상승 시나리오와 5개 관측소의 지역별 평균해수면 상승 자료를 결합시키기 위하여 변동점 분석결과를 활용하였다. 제안된 절차는 미래 평균해수면 상승 시나리오의 시작년도를 결정함에 있어 18.6년의 주기를 사용하지 않고 변동점 분석결과를 사용함으로써, 지역적 특성을 효과적으로 반영할 수 있도록 개선되었다. 변동점 분석결과를 사용하여 한반도의 권역별 미래 해수면상승을 분석한 결과, 제주 권역(제주 조위관측소)이 가장 뚜렷한 해수면 상승을 나타냈다. 서해안 권역(보령 조위관측소)과 남해안 권역(부산 조위관측소)에서는 두 번째로 높은 해수면 상승의 증가가 추정되었으며, 마지막으로 남해안 권역(여수 조위관측소)와 동해안 권역(속초 조위관측소)에서 가장 낮은 해수면 상승의 증가가 추정되었다.
In analyzing the inundation area attributed to the sea level brought about by climate change, previous researchers derived a different inundation area from the actual one by applying a uniform sea level rise without taking into account the regional mean sea level. This study has attempted to analyze the inundation area by devising a sea-level rise scenario that considers the regional mean sea level of the study area. In addition, a comparative analysis was conducted on the area of inundation vulnerabilities between the sea level rise scenario that takes into account the regional mean sea level and one that does not. As a result of study, an error between the actual mean sea level and topographic elevation was corrected by using the height of the tide observation data of the area. Next, a total of nine scenarios on the sea level rise of the Taean region (SLR-T 1.1~SLR-T 3.3) were devised using the IPCC SRES scenario, RCP 8.5 scenario, height of the tide data and storm surge height, among others. Finally, the results showed that the inundation area by scenario was at least 4.17km2(SLR-T 1.1) up to 168.41km2(SLR-T 3.3), which was about 45% less than that of the scenario devised without considering the mean sea level that reflects the regional differences. In other words, results of the analysis on the inundation area using conventional methods turned out to be wider than that of the actual inundation area.
Fluctuation patterns of groundwater level as a factor that reflects the characteristics of groundwater system can be categorized as the various types of aquifer with the time-series data. Time-series data on groundwater level obtained from 115 monitoring wells in Jeju Island were classified according to variation types, which were largely affected by rainfall(Dr), rainfall and pumping(Drp), and unknown cause(De). Analysis results indicate that 106 wells belong to Dr and Drp and the ratio of the wells with the wide range of fluctuation in the western and northern regions was higher than that in the eastern and southern regions. From the results that Drp is relatively higher than Dr in the western region which has the largest agricultural areas, groundwater level fluctuations may be affected significantly due to the intensive agricultural use. Non-parametric trend analysis results for 115 monitoring wells show that the increasing and decreasing trends as the ratio of groundwater levels were 14.8% and 22.6%, respectively, and groundwater levels revealed to be increased in the western, southern and northern regions excluding eastern region. Results of correlation analysis that cross-correlation coefficients and the time lags in the eastern and western regions are relatively high and short, respectively, indicate that the rainfall recharge effect in these regions is relatively larger due to the gentle slope of topography compared to that in the southern and northern regions.
Korean population has been rapidly aging. Most of people regard the aging population as future crisis due to the rate of change and agree to prepare for a soft-landing on aging society in South Korea. Particularly, the aging population growth in rural areas is much faster than urban areas. Also rural areas relatively have poorer social and economic conditions so the countermeasures for population aging considering related social and economic indices are required. Moreover, each rural region has the different preparedness level for rural aging based on regional socio-economic characteristics. In this study, we analyzed correlations of the rural aging rate and local characteristics and developed an evaluation index to show the regional preparedness status for rural aging. To test the applicability of developed indicators, we applied them to 161 rural regions and assessed regional preparedness level for rural aging. This study would provide basic data for establishing policies for rural aging.