In this study the urban atmospheric environment map in Busan was made and it consist of the atmospheric environment element map and the atmospheric environment analysis map. The atmospheric environment element map covered the topography, the urban climate, the air pollutant emission, ozone and PM10 concentrations in Busan and the atmospheric environment analysis map included the thermal environment and the wind flow by using WRF meteorological numerical simulation. The meteorological elements from 2007 to 2011 in Busan were used in this study. As a result, in the center of Busan and Buk-gu along to the Nakdong river was the temperature high. To analyze the air flow of Busan 3 clusters depending on the wind direction were extracted with the cluster analysis. The results of the analysis on the detailed wind field of each cluster showed that the weak ventilation could be happened locally at the specific meteorological condition.

The purpose of this study is to find out the air flow patterns affecting the PM10 concentration in Busan and the potential sources within each trajectory pattern. The synoptic air flow trajectories are classified into four clusters by HYSPLIT model and the potential sources of PM10 are estimated by PSCF model for each cluster from 2008 to 2012. The potential source locations of PM10 are compared with the distribution of PM10 anthropogenic emissions in east Asia developed in 2006 for the NASA INTEX-B mission. The annual mean concentrations of PM10 in Busan decreased from 51 ug/m3 in 2008 to 43 ug/m3 in 2012. The monthly mean concentrations of PM10 were high during a spring season, March to May and low during a summer season, August and September. The cluster2 composed of the air trajectories from the eastern China to Busan through the west sea showed the highest frequency, 44 %. The cluster1 composed of the air trajectories from the inner Mongolia region to Busan through the northeast area of China showed the second high frequency, 26 %. The cluster3 and 4 were composed of the trajectories originated in the southeast sea and the east sea of Busan respectively and showed low frequencies. The concentrations of in each cluster were 47 ug/m3 in cluster1, 56 ug/m3 in cluster2, 42 ug/m3 in cluster3 and 37 ug/m3 in cluster4. From these results, it was proved that the cluster1 and 2 composed of the trajectories originated in the east and northeast area of China were the causes of high PM10 concentrations in Busan. The results of PSCF and CWT model showed that the potential sources of the high PM10 concentrations were the areas of the around Mongolia and the eastern China having high emissions of PM10 from Beijing, Hebei to Shanghai through Shandong, Jiangsu.

This study aims to find the perception and utilization of the citizen about the dryness watch warning (DWW) among special weather reports. For this we have made up a descriptive questionnaire including the perception, utilization of special weather reports. Using the SPSS 17.0 program, descriptive statistics, t-test, ANOVA and Scheffe test were used to analyze the collected data. The results are as follows; The perception of DWW is measured by 4 point Likert scale and the average is 15.97±3.70 (percentile=57.0). This value shows that the awareness level is not that high and according to the occupation, college students show the lowest awareness and housewives show the highest awareness. According to the age, the teens and twenties show the lowest awareness and fifties and sixties show the highest awareness. Although the perception of the teens and college students are rather poor, there were many positive answers that it is necessary to establish the advanced disaster prevention plan according to the questionnaire about the utilization of DWW. Therefore, if we come up with an effective plan to improve the perception than we can expect a large-effect in terms of fire and forest fire prevention. The perception of DWW can be improved by providing weather information and weather related education program on TV or internet which have the high level of preference. Also, it is necessary to provide online and offline program of advertising education and disaster management education through the weather forecast bureau which is the host organization of delivering weather information.

We investigate the amount of potential electricity energy generated by wind power in Busan metropolitan area, using the mesoscale meteorological model WRF (Weather Research & Forecasting), combined with small wind power generators. The WRF modeling has successfully simulated meteorological characteristics over the urban areas, and showed statistical significant to predict the amount of wind energy generation. The highest amount of wind power energy has been predicted at the coastal area, followed by at riverbank and upland, depending on predicted spatial distributions of wind speed. The electricity energy prediction method in this study is expected to be used for plans of wind farm constructions or the power supplies.

To identify the characteristics of extreme heat events and tropical nights in major cities, the correlations between automated synoptic observing station (ASOS), automatic weather station (AWS), and temperature in seven metropolitan areas were analyzed. Temperatures at ASOS were found to be useful sources of the reference temperature of each area. To set the standard for identifying dates of extreme heat events in relation to regional topography and the natural environment, the monthly and yearly frequency of extreme heat in each region was examined, based on the standards for extreme heat day (EHD), tropical night day (TND), and extreme heat and tropical night day (ETD). All three cases identified 1994 as the year with the most frequent heat waves. The frequency was low according to all three cases in 1993, 2003 and 2009. Meanwhile, the yearly rate of increase was the highest in 1994, followed by 2010 and 2004, indicating that the frequency of extreme heat changed significantly between 1993 and 1994, 2003 and 2004, and 2009 and 2010. Therefore all three indexes can be used as a standard for high temperature events. According to monthly frequency data for EHD, TND, and ETD, July and August accounted for 80% or more of the extreme heat of the entire year.

To estimate the benefit of high-resolution meteorological data for building energy estimation, a building energy analysis has been conducted over Busan metropolitan areas. The heating and cooling load has been calculated at seven observational sites by using temperature, wind and relative humidity data provided by WRF model combined with the inner building data produced by American Society of Heating Refrigeration and Air-conditioning Engineers (ASHRAE). The building energy shows differences 2-3% in winter and 10-30% in summer depending on locations. This result implicates that high spatiotemporal resolution of meteorological model data is significantly important for building energy analysis.

EnergyPlus is a whole building energy simulation program that engineers, architects, and researchers use to model energy and water use in buildings. Modeling the performance of a building with EnergyPlus enables building professionals to optimize the building design to use less energy and water. This program provides energy analysis of building and needs weather data for simulation. Weather data is available for over 2,000 locations in a file format that can be read by EnergyPlus. However, only five locations are avaliable in Korea. This study intends to use AWS data for having high spatial resolution to simulate building energy. The result of this study shows the possibility of using AWS data for energy simulation of building.

최근까지 우리나라에서 수행된 자연재해 관련 연구는 태풍이나 집중호우에 관한 것이 대부분이나 폭풍이나 폭풍우에 의한 재해의 발생 빈도도 높다. 폭풍과 태풍에 의해 발생하는 강풍에 의한 피해는 현재까지 거의 연구가 수행되지 않고 있지만, 최근 지속적으로 발생하는 강풍 피해를 저감하기 위해서는 그에 대한 기초연구가 필요하다. 이에 본 연구에서는 종관 분석을 통해 우리나라에서 발생한 강풍을 분류하고 그 유형을 제시하였다. 본 연구에서의 ‘강풍 사례’는 2001년부터 2010년까지 전국 AWS와 ASOS의 시간평균풍속을 기준으로 14m/s(기상청 강풍주의보 기준)이상인 풍속이 10개소 이상이 나타난 경우로 정의하였다. 그리고 선정된 ‘강풍사례’의 24시간 전 일기도를 이용한 종관 분석을 실시하여 기압 배치에 따라 유형을 분류하였다. 강풍발생에 영향을 준 기압 유형에 따라 중국 화북, 화중, 화남지역에서 발생한 경우를 유형 CN, CC, CS으로 정의하였다. 그리고 우리나라 동해안에 저기압이 발생한 유형은 KE, 태풍은 유형 TY, 시베리아 고기압으로 인해 강풍이 발생한 유형은 H로 정의하였다. 연간 강풍 발생 횟수는 2004년, 2005년, 2006년이 각 10회로 가장 높게 나타났고, 최근 10년간의 강풍 사례 분석을 통해서는 발생 횟수의 증가·감소 경향을 판단할 수 없었다. 2001년과 2007년을 제외한 모든 해에는 유형 H가 발생하였고(총 22회) 강풍 사례 중 유형 H와 KE에 의한 것이 전체 사례의 53%로 나타났다. 유형 CN은 2004~2006년에만 총 4회 발생했다. 강풍 발생 유형의 빈도수는 H, KE, CC, TY, CS, CN으로 나타났다(유형 CC와 TY는 동일한 빈도수). 본 연구에서는 기상학적인 전문지식을 바탕으로 종관 분석을 통해 강풍사례를 분류하였지만, 이를 보다 객관적인 기준에 따라 분류한다면 일반인(비전문가)도 강풍유형 분류가 가능할 것이다. 따라서, 향후 더 많은 강풍 사례를 대상으로 하여 강풍 분류를 보다 객관적으로 할 수 있는 체계적인 방법을 제시할 필요성을 가진다.

국내에서 발생하는 산불의 원인은 자연적인 원인보다는 인위적인 원인이 대부분이지만 이와 같은 실화가 산림에 피해를 줄 정도로 발화·연소·확산되기 위해서는 바람, 습도, 기온 등과 같이 연소 환경에 영향을 미칠 수 있는 기상학적 조건이 중요하다. 즉, 작은 규모의 산불의 경우 실화 등의 인위적인 요인에 의해서 발생하지만, 산불이 사회·경제적으로 영향을 미칠 만큼 대규모로 발생하기 위해서는 산불이 발생하는 당시의 기상조건이 매우 중요하다. 따라서 본 연구에서는 산불 발생일의 기상요소를 연도별, 규모별, 지역별로 구분하여 통계적 특성을 해석하고, 대형 산불을 유발한 기상학 특성을 분석함으로써 향후 발생하는 산불의 발화조건, 확대규모 예측 등의 기초 자료로 제공하고자 한다. 이를 위해서 본 연구에서는 2003년부터 2012년까지 남한전역의 산불 발생 지역을 대상으로 연구를 수행하였다. 그 결과 국내에서 발생하는 산불의 원인은 실화에 의한 것이 가장 많았고, 산불의 대형화에 가장 큰 영향을 미치는 것은 강한 풍속과 낮은 습도이며, 이와 같은 기상 조건은 산불의 확산속도 및 진화 작업에 영향을 미치는 것으로 판단되었다. 국내에서 발생한 산불의 주된 원인은 실화나 방화가 높으므로, 대형 산불이 발생할 가능성이 높은 기상조건에서는 보다 강력한 규제가 마련되어야할 것으로 판단된다.

기후변화에 따라서 강수량과 강수의 강도는 지속적으로 증가하여 집중호우의 빈도가 높아질 것으로 예측되고 있으며, 이러한 집중호우에 의한 피해를 최소화하기 위해서는 강수에 대한 지속적인 관측 및 그에 대한 특성 분석이 필요하다. 이에 따라 본 연구에서는 집중호우 사례에 대한 종관기상상태에 따라 그 원인을 분류하고, 분류된 사례의 강수율, 수직낙하 속도, 강수입자의 크기 등에 대한 제반 특성을 분석하였다. 본 연구에서 경상남도 김해시를 대상으로 2011년 여름철 기간 동안(총 34일의 강수일) AWS와 2DVD를 이용하여 관측을 수행하였다. 집중호우 사례는 장마전선, 태풍, 기압골, 고기압 가장자리의 4가지 원인으로 분류되었다. 각 사례에 대한 대표사례일의 강수율, 빗방울 크기분포, 강수의 침강속도, 강수직경에 따른 입자의 편평도를 분석해본 결과, 강수 입자크기와 입자에 따른 수직 낙하 속도와 편평도의 변화를 알 수 있었다. 또한 각 시간대의 강수율은 평균 강수율이 아닌 수 차례의 peak를 나타내었는데 이를 10분 단위로 세분화 시켜 분석해본 결과, 시간 강수량의 강수율과 강수입자의 분포와 거의 유사하게 나타났으며, 10분 간격으로 나타나는 강수량의 편차가 크게 나타나는 것을 알 수 있었다. 이는 강수에 의한 재해는 짧은 시간에 많은 비가 내리는 것이기 때문에 기후변화에 따른 집중호우의 특성을 밝히고, 대비책을 수립하는데 기초자료를 제시해 줄 것으로 판단된다. 향후 보다 장기적인 관측을 통해 많은 사례에 대한 분석이 이루어진다면 기후변화로 인해 변화하고 있는 강수의 특성에 대해 이해할 수 있을 것이며, 향후 집중 호우 등에 의한 재해를 예방하는데 중요한 기초자료로 활용될 수 있을 것이다.

최근 국내외 수질오염문제는 산업, 경제, 사회적으로 큰 이슈가 되고 있으며, 행복한 삶의 추구와도 관련되는 생존의 문제이다. 경제적으로 풍족해지고 생활환경이 개선될수록 깨끗한 물에 대한 관심은 더욱 증가하게 되며, 이러한 상황에 맞추어 생활하수뿐만 아니라 산업폐수의 수질기준은 점차적으로 강화되고 있으며 더욱 심화된 처리시스템의 개발이 필요한 실정이다. 중금속은 비록 미량일지라도 생태계의 먹이사슬을 통해 인체 내에 유입되면, 배출되지 않고 계속 축적되기 때문에 인체 내의 생리 작용에 여러 가지의 악영향을 미친다. 종래에는 하천수, 지하수 및 폐수에 존재하는 중금속의 제거를 위해, 화학적 침전법, 이온교환 수지 및 분리막을 이용한 제거법 등이 제시되었다, 그러나, 화학적 침전법을 이용하는 경우에는 중금속 제거 처리 후에 발생하는 많은 양의 슬러지가 2차 오염물질로 작용하고, 저농도의 중금속을 완전히 제거하지 못하는 문제점이 있다. 또한, 이온교환 수지나 분리막을 이용한 제거법은 고형의 오염물질을 다량 함유하는 오염수의 처리가 어렵고, 비용이 많이 드는 문제점이 있다. 본 연구에서는 환경적으로 무해하며 화학/생물학적으로 안정한 다공성 물질의 한 종류인 alginate bead 기공내에 유/무기오염물질 제거에 탁월한 효과가 있는 나노카본을 첨착하여 중금속 제거에 효과적인 흡착제를 개발하였다. 개발된 흡착제를 이용하여 코발트 [Co(II)] 및 망간 [Mn(II)]에 대한 회분식 실험을 수행한 결과, 초기 4시간 안에 전체의 약 85%의 코발트 및 망간이 빠르게 흡착되었으며, 최대흡착량은 각각 78 및 89.5 mg/g으로 나타났다. 이는 현재 상용화고 있는 탄소나노튜브, 활성탄 등과 비교하여 월등히 높은 제거 효율을 나타낸 것으로 판단된다. 또한 제조된 흡착제의 재사용 여부를 판단하기 위하여 0.1 N HCl을 이용하여 흡/탈착을 5회 동안 연속적으로 수행하였다. 연속적인 재사용 실험 결과, 첫번째 코발트 및 망간의 회수 효율은 각각 99.2와 99.3%로 나타났으며, 5번째 회수 효율은 각각 96.7과 97.8%로 나타났다. 이는 약 2-3%의 아주 적은 회수 효율 저하가 발생한 것으로 판단된다. 따라서 본 연구를 통해 개발된 흡착제는 중금속 흡착에 탁월한 효과를 나타낼 뿐만 아니라 중금속 폐수의 처리시 발생하는 비용을 절감할 수 있을 것으로 판단된다.

PM10 concentration is related to the meteorological variables including to local and synoptic meteorology. In this study the PM10 concentrations of Busan in 2007~2011 were analyzed and the days of yellow sand or rainfall which is more than 5 mm were excluded. The sections of PM10 concentration were divided according to 10-quantiles, quartiles and 90-quantiles. The 90-quantiles of daily PM10 concentration were selected as high concentration dates. In the high concentration dates the daily mean averaged cloudness, mean daily surface wind speed, daily mean surface pressure and PBL height were low and diurnal variation of surface pressure and daily maximum surface temperature were high. When the high PM10 dates occurred, the west and south wind blew on the ground and the west wind blew strongly on the 850 hPa. So it seemed that long range transboundary air pollutants made effects on the high concentration dates. The cluster analysis using Hysplit model which is the backward trajectory was made on the high concentration dates. As a result, 3 clusters were extracted and on the short range transboundary cluster the daily mean relative humidity and cloudness were high and PBL height was low.

Mobile sources produce a significant fraction of total anthropogenic emissions in Korea and have harmful effects on air quality. Mobile emissions are intrinsically difficult to estimate due to complicated road networks and variations of traffic volume with location and time. To measure traffic pollutants with high temporal and spatial resolution under real conditions a mobile laboratory was designed. The mobile laboratory provide concentrations of SO2, CO, NO, NO2 and location coordinate value. This approach allowed for pollutant level measurements on many roads within short periods of time. In this study, on-road concentrations of SO2, CO, NO and NO2 were measured using mobile platform measurement along the 25 main roads in Busan to estimate the average air pollution level in short time difference. The measurements were conducted on favorable meteorological days from 2010 to 2012 and the overall concentrations of SO2, CO, NO and NO2 were 0.006, 0.8, 0.182 and 0.055 ppm respectively. The result showed that the concentration of CO, NO and NO2 on road were twice, 18 times and 2.5 times higher than regional air quality monitoring sites mean in same period.

This study was conducted to investigate the correlations between the PM10 concentration trend and meteorological elements in the Gimhae region and analyze the transportation routes of air pollutants through back-trajectory analysis. Among the air quality measuring stations in the Gimhae regions, the PM10 concentration of the Sambangdong station was higher than that of the Dongsangdong station. Also, an examination of the relationships between PM10 concentration and meteorological elements showed that the greater the number of yellow dust occurrence days was and the lower the temperature and precipitation were, the higher the PM10 concentration appeared. Furthermore, a cluster analysis through the HYSPLIT model showed that there were 4 clusters of trajectories that flowed into the Gimhae region and most of them originated in China. The meteorological characteristics of the four clusters were analyzed and they were similar to those of the air masses that influence South Korea. These analyses found that meteorological conditions affect the PM10 concentration.

In this study, eight episode days of high-concentration PM10 occurrences in the Gimhae region between 2006 and 2011 were analyzed. Most of them appeared in winter and the highest concentration was observed around 12 LST. Furthermore, the wind direction, wind velocity, and temperature elements were compared with observed values to verify the WRF numerical simulation results used in this study, and they simulated well in accordance with the trend of the observed values. The wind was generally weak in the high-concentration episode days that were chosen through surface weather chart and the numerical simulation results for wind field, and the air pollutants were congested due to the effects of the resulting local winds, thereby causing a high concentration of air pollutants. Furthermore, the HYSPLIT model was performed with the WRF numerical simulation results as input data. As a result, they originated from China and flowed into Gimhae in all eight days, and the lowest concentration appeared on the days when recirculation occurred.

Ozone is the secondary photochemical pollutant formed from ozone precursor such as nitrogen dioxide and non-methane volatile organic compounds(VOCs). The ambient concentration of ozone depends on several factors: sunshine intensity, atmospheric convection, the height of the thermal inversion layer, concentrations of nitrogen oxides and VOCs. Busan is located in the southeast coastal area of Korea so the ozone concentration of Busan is mainly affected from the meteorological variables related to the sea such as sea breeze. In this study the ozone concentrations of Busan in 2008~2010 were used to analyse the cause of the regional ozone difference in eastern area of Busan. The average ozone concentration of Youngsuri was highest in Busan however the average ozone concentration of Gijang was equal to the average ozone concentration of Busan in 2008~2010. The two sites are located in eastern area of Busan but the distance of two sites is only 9km. To find the reason for the difference of ozone concentration between Youngsuri and Gijang, the meteorological variables in two sites were analyzed. For the analysis of meteorological variables the atmospheric numerical model WRF(Weather Research and Forecasting) was used at the day of the maximum and minimum difference in the ozone concentration at the two sites. As a result of analysis, when the boundary layer height was lower and the sea breeze was weaker in Youngsuri, the ozone concentration of Youngsuri was high. Furthermore when the sea breeze blew from the south in the eastern area of Busan, the sea breeze at Youngsuri turned into the southeast and the intensity of sea breeze was weaker because of the mountain in the southern region of Youngsuri. In that case, the difference of ozone concentration between Youngsuri and Gijang was considerable.

The annual variations of the urban heat island in Busan is investigated using surface temperature data measured at 3 automatic weather stations(AWSs) for the 5 years period, 2006 to 2010. Similar to previous studies, the intensity of the urban heat island is calculated using the temperature difference between downtown(Busanjin, Dongnae) and suburb(Gijang). The maximum hourly mean urban heat island are 1.4℃ at Busanjin site, 2300LST and 1.6 ℃ at Dongnae site, 2100LST. It occurs more often at Dongnae than Busanjin. Also the maximum hourly mean urban heat island appears in November at both sites. The urban heat island in Busan is stronger in the nighttime than in the daytime and decreases with increasing wind speed, but it is least developed in summer. Also it partly causes the increasement of nighttime PM10 concentration.

This study is conducted to estimate the air temperature decreasing effects by restoring urban streams using WRF/CALMET coupled system. The types of land use on covered streams are constructed with the land cover map from Korea ministry of environment. Restoring covered streams changes the types of land use on covered areas to water. Two different types of land use(CASE 1 and CASE 2) are inputted to the WRF/CALMET coupled system in order to calculate the temperature difference. The results of the WRF/CALMET coupled system are similar to the observed values at automatic weather stations(AWS) in Busan area. Restoring covered streams causes temperature to be decreased by about 0.34～2℃ according to the locations of streams and the regions that temperature is reduced are widely distributed over the restored area. Reduction of temperature is increased rapidly from morning and maximus at 13LST. Natural restoration of streams will reduce the built-up area within urban. With this, temperature reductions which are the cause to weaken the urban heat island appear. Relief of urban heat island will help to improve the air quality such as accumulation of air pollutants in within urban area.

This study calculated wind speed at the height of 10 m using a disaster prediction model(Florida Public Hurricane Loss Model, FPHLM) that was developed and used in the United States. Using its distributions, a usable information of surface wind was produced for the purpose of disaster prevention when the typhoon attack. The advanced research version of the WRF (Weather Research and Forecasting) was used in this study, and two domains focusing on South Korea were determined through two-way nesting. A horizontal time series and vertical profile analysis were carried out to examine whether the model provided a resonable simulation, and the meteorological factors, including potential temperature, generally showed the similar distribution with observational data. We determined through comparison of observations that data taken at 700 hPa and used as input data to calculate wind speed at the height of 10 m for the actual terrain was suitable for the simulation. Using these results, the wind speed at the height of 10 m for the actual terrain was calculated and its distributions were shown. Thus, a stronger wind occurred in coastal areas compared to inland areas showing that coastal areas are more vulnerable to strong winds.

최근 기후변화로 인하여 한반도의 기후는 태풍의 강도가 강해 질 수 있는 조건으로 변화하고 있다. 또한 태풍은 전체 자연 재해 중 적은 빈도에도 불구하고 한번 발생하면 다른 자연 재해보다 큰 피해를 준다. 그러나 태풍이 한반도에 내습하기 전에 정부·지방자치단체·개인의 차원에서 대비를 철저히 한다면, 태풍에 대한 피해를 어느 정도 저감할 수 있다. 따라서 한반도에 내습하는 태풍으로 인한 피해 원인 및 그 규모를 파악하는 것은 매우 중요하다. 태풍이 한반도에 영향을 미치는 기간 동안 재산 피해를 일으킬 수 있는 요소에는 여러 가지가 있지만 그중에서도 순간적으로 발생하는 강한 돌풍은 주택과 건물의 유리창, 지붕, 외장재, 그리고 공공시설 및 거리의 간판 등 구조물을 파괴하여 국민의 안전과 재산을 위협한다. 따라서 본 연구에서는 방재적인 차원에서 태풍 시기 발생가능한 최대풍속 및 그에 따른 피해 규모를 산정하는 ‘한국형 Risk Assessment Model’ 의 방재적인 차원에서 활용 가능성을 검토하였다. 또한 이 모델을 이용하여 과거 한반도에 영향을 미친 태풍 시기에 발생가능한 최대 풍속인 3-second gust를 산정하고 진로에 따른 분포 경향을 살펴보았다. 그리고 이를 이용하여 태풍 내습 시 강풍에 취약한 지점을 선정하였다. 본 연구의 주요결과는 다음과 같다. 첫 번째, 한국형 Risk Assessment Model이 방재적인 측면에서 활용가능한지 검토한 결과 모델에서 모의된 풍속이 실제 풍속의 경향을 잘 따르면서도 약간 크게 모의 되어 방재적인 측면에서 활용하기에 적절하다고 판단되었다. 두 번째, 태풍의 진로 유형별 3-second gust의 분포와 피해액 분포를 살펴본 결과 강풍이 나타나는 분포와 피해가 나타나는 지역이 유사하게 나타났다. 세 번째, 강풍에 의한 피해규모는 태풍의 진로뿐만 아니라 태풍의 진로에도 큰 영향을 받는 것으로 나타났다. 네 번째, 연구 기간 동안 태풍에 의한 강풍 피해에 가장 취약한 곳은 부산·경남 지역으로 나타났다. 이와 같은 결과를 바탕으로 한국형 Risk Assessment Model의 활용 가능성과 활용 가능성에 대해 검토 할 수 있었으며, 추후 태풍이 한반도에 내습할 것으로 예측되었을 때 활용한다면 보다 효과적인 방재대책을 수립할 수 있을 것으로 사료된다.