• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.377-378
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• 2001

포항지역은 인구규모 50만 정도의 중소도시이지만 도심은 항만을 끼고 있고 포항제철 및 연관산업체가 입지하여 선박, 전동기관차 그리고 인근의 공항 등 다양한 형태의 대기오염물질 배출원이 공존하고 있는 지역이다. 지금까지 대기오염배출량 산정에는 주로 자동차 및 산업체 및 주거지역지역과 같은 오염원을 다루고 있으며 기관차, 항공기 및 선박과 같은 오염원에 의한 대기오염물질 배출량 산정은 드물다. 이러한 복합적인 오염원이 존재하는 곳에서의 대기질 관리에 있어 가장 선행되어야 할 사항 중의 하나는 주요한 대기오염 배출원의 파악과 가장 현실성 있는 오염원의 배출목록을 작성하는 것이다. (중략)

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2719-2726
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• 2010

The purpose of this study was to investigate the scientific basic grounds for the assessment of health and environmental diseases resulting from air pollutants in Pohang. For this study, we investigated pollutants, weather characteristics and concentration distribution of fine particles ($PM_10$) yearly and each season, using data from Air Quality Monitoring Stations. The properties of concentration distribution and seasonal fluctuation of $PM_10$ were studied qualitatively and quantitatively using CALPUFF, air dispersion model. The average concentration of $PM_10$ for each season was spring($75.7{\mu}g/m^3$)>summer($56.8{\mu}g/m^3$)>winter($53.6{\mu}g/m^3$)>fall( $52.7{\mu}g/m^3$). In the case of spring, high concentrations appear due to the Asian dust frequently occurring. The contributions of $PM_10$ classified by the types of pollution source in Pohang were point source 62%>mobile source 33%>area source 5%. An important point is that 97% of emissions were produced from the iron manufacture in steel industry. Therefore, it is necessary to control the emission sources of pollutants and to construct an observation system at Pohang steel industrial complex from now on. It’s time to control the risk factors for health and environmental disease to protect the health of resident in Pohang and its neighboring areas.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.152-154
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• 2015

다대포항은 1971년 국가어항으로 지정된 후 40여년간 방치되어 왔으며, 어항 내 수리조선 등 환경저해요인으로 인하여 지역발전에 부정적 영향을 미치는 장소로 인식되고 있다. 그러나 최근 해양레저, 관광 등 해양활동에 대한 수요 증가로 도심의 연안에 위치한 어항 등의 해양시설물을 활용, 보다 쉽고 유용하게 친수공간으로 재개발하여 활용하고자 하는 요구가 증가하고 있다. 이에 따라 다대포항 또한 지역적 개발 요구와 함께 해양활동에 대한 최근의 트렌드를 반영한 복합관광어항으로써의 개발이 필요하다. 본 연구에서는 다대포항을 직접 활용하는 수산업종사자와 지역의 자원으로써 다대포항을 바라보는 배후지역 주민들 대상으로 설문조사를 실시하고, 지속가능한 어항 개발을 위한 해수면 상승 시나리오를 반영하여 복합관광어항으로의 다대포항 개발 방향을 제사하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.325-325
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• 2016

산업화 이후 연안지역을 중심으로 공업지역 등의 조성으로 많은 개발이 진행되어 왔다. 개발된 지역은 불투수 면적이 증가하고 연안지역의 특성상 하천으로 인한 수자원 공급과 더불어 지하수 이용량이 상대적으로 높게 나타나고 있다. 또한 기후온난화로 인해 해수면이 상승하고 있어 해수 침투는 점점 가속화되고 있다. 연안지역의 공업지대는 수자원 공급뿐만 아니라 해수침투로 인한 피해가 갈수록 증가할 것으로 보인다. 최근 해수침투에 대한 피해 방지를 위해 인공 주입 및 함양, 지하댐 등을 통해 지하수자원 관리에 대한 연구가 활발히 진행되고 있다. 이에 본 연구에서는 지하수자원 관리 기법 중 지하댐을 설치하여 해수침투를 방지하고 지하수자원을 확보하고자 한다. Visual MODFLOW를 이용하여 포항지역을 대상으로 지하댐을 적용한다. 지하댐의 설치 방법에 대해서도 다양한 시나리오를 이용하여 효과 분석을 실시한다. 이를 이용하여 지속가능한 지하수자원 관리를 도모하고자 한다.

• Journal of Korean Society of Forest Science
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• v.90 no.6
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• pp.692-698
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• 2001

This study has been carried out to estimate aboveground biomass and net primary production(NPP) in an average 41-years-old Quercus variabilis stand of Gongju area, 45-years-old Quercus variabilis stand of Pohang area, and 54-years-old Quercus variabilis stand of Yangyang area. Ten sample trees were cut in each forest and soil samples were collected in July to August, 2000. Estimation for aboveground biomass and net primary production were made by the equation model $Wt=aD^b$ where Wt is oven dry weight in kg and D is DBH in cm. Total aboveground biomass was 91.31ton/ha in Gongju area, 207.6ton/ha in Pohang area, and 71.39ton/ha in Yangyang area. The aboveground biomass 207.6ton/ha in Pohang area is the highest biomass production among the amount of biomass in Quercus variabils stands reported in Korea. The proportion of each tree component to total aboveground biomass was high in order of bolewood, bolebark, branches and leaves in the three forests. Aboveground total net primary production was estimated at 7.8ton/ha in Gongju area, 11.5ton/ha in Pohang area, and 6.40ton/ha in Yangyang area. There were at least 2 times higher total aboveground biomass in Pohang area than in the Gongju and Yangyang areas because of climate difference among the study areas.

• Research in Community and Public Health Nursing
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• v.2 no.1
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• pp.391-393
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• 1990

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2003.05a
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• pp.170-172
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• 2003

뇌우 가능성을 예측하는 지수값을 보면, Showalter index는 4이하일 때, Lifted index는 2이하일 때, SWEAT index는 30이상, K index는 20이상 그리고 Total Totals index의 경우, 14일의 기단성 뇌우 발생일 중 광주에서는 9일, 포항에서는 10일이 예측되었고, Lifted index의 경우, 광주에서 8일, 포항에서 7일이었으며, SWEAT index의 경우 광주에서는 없으며, 포항에서는 3일이었다. 또한 K index의 경우, 광주에서 10일, 포항에서 12일이었으며, Total Totals index의 경우, 광주에서 5일, 포항에서 6일이었다. 전반적으로 5월에 발생한 기단성 뇌우를 제외한다면 매우 유효한 예측율을 나타내고 있다고 할 수 있다. 가장 높은 예측율을 나타낸 지수는 K index라고 할 수 있으며, 가장 낮은 예측을 나타낸 것은 SWEAT index라고 할 수 있다. 광주와 포항 모두 동일한 안정도지수에서 비슷한 예측율을 나타내어 지역적인 특성을 찾아보기가 어려웠다. 따라서 부산 지역에서 기단성 뇌우 예측은 가장 예측율이 높은 K index를 이용하면 많은 도움이 되리라고 판단된다.

• Journal of Science and Technology Studies
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• v.18 no.2
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• pp.269-306
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• 2018

Through this study, it is aimed to derive the policy direction considering the characteristics of the present Smart Factory, the industrial condition of Pohang area, and the promotion field. Secondly, the questionnaire data of the regional enterprises will prepare for the improvement of the industrial structure and the implications for efficiency, and preparation for regional preparation and industrial changes in preparation for the next generation of production revolution. The construction of Smart Factory in Pohang can be divided into two major directions. First, it is analyzed that smart factory pilot projects are highly needed, focusing on competitive medical precision manufacturing field among the SMEs in the region, primary metal and nonmetal manufacturing industries, and other machinery fields. In addition, local SMEs are willing to introduce smart factories for reasons of quality improvement and cost reduction, and it is confirmed that they will actively promote employee training and expertise if they can upgrade continuously.

• Journal of Korean Society of Environmental Engineers
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• v.30 no.3
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• pp.302-313
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• 2008

The purposes of this study are to investigate the concentration levels of fine particles, so called PM$_{2.5}$, to identify the affecting sources, and to estimate quantitatively the source contributions of PM$_{2.5}$. Ambient air sampling was seasonally carried out at two sites in Pohang(a residential and an industrial area) during the period of March to December 2003. PM$_{2.5}$ samples were collected by high volume air samplers with a PM$_{10}$ Inlet and an impactor for particle size segregation, and then determined by gravimetric method. The chemical species associated with PM$_{2.5}$ were analyzed by inductively coupled plasma spectrophotometery(ICP) and ion chromatography(IC). The results showed that the most significant season for PM$_{2.5}$ mass concentrations appeared to be spring, followed by winter, fall, and summer. The annual mean concentrations of PM$_{2.5}$ were 36.6 $\mu$g/m$^3$ in the industrial and 30.6 $\mu$g/m$^3$ in the residential area, respectively. The major components associated with PM$_{2.5}$ were the secondary aerosols such as nitrates and sulfates, which were respectively 4.2 and 8.6 $\mu$g/m$^3$ in the industrial area and 3.7 and 6.9 $\mu$g/m$^3$ in the residential area. The concentrations of chemical component in relation to natural emission sources such as Al, Ca, Mg, K were generally higher at both sampling sites than other sources. However, the concentrations of Fe, Mn, Cr in the industrial area were higher than those in the residential area. Based on the principal component analysis and stepwise multiple linear regression analysis for both areas, it was found that soil/road dust and secondary aerosols are the most significant factors affecting the variations of PM$_{2.5}$ in the ambient air of Pohang. The source apportionments of PM$_{2.5}$ were conducted by chemical mass balance(CMB) modeling. The contributions of PM$_{2.5}$ emission sources were estimated using the CMB8.0 receptor model, resulting that soil/road dust was the major contributor to PM$_{2.5}$, followed by secondary aerosols, vehicle emissions, marine aerosols, metallurgy industry. Finally, the application and its limitations of chemical mass balance modeling for PM$_{2.5}$ was discussed.

• Journal of the Korean earth science society
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• v.24 no.5
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• pp.449-455
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• 2003

Climatic elements were investigated in order to understand the atmospheric environment around the Pohang area and for use as basic information in prediction. In this analysis, we could find that the annual mean temperature, relative humidity, and precipitation are 14.39$^{\circ}C$, 63.3%, and 1.178mm, respectively. The prevailing wind direction was southwestern, and the mean wind speed is 2.7m/s. The amount of cloud was abundant during the summer because of the Jang-ma phenomenon and convective clouds induced by terrain effect. The annual mean duration of sunshine represented about 2,221 hours.