• Journal of Environmental Impact Assessment
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• v.29 no.5
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• pp.391-402
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• 2020

Health Impact Assessment based on municipal law is performed and written in the sanitary and public health part in the current environmental impact assessment. Residential development projects such as housing site development etc., are not subject to health impact assessment under Article 13 of the Environmental Health Act. However, health impact assessment is conducted partially based on the review that health impact assessment targets which are identified among substances emitted from pollutants nearby industrial complexes should be assessed risk (including carcinogenic and non-carcinogenic) at the stage of the environmental impact assessment consultation. Although residential development projects do not have plans for pollutant emitting facilities that emit hazardous air pollutants, there is a possibility that residents might be affected by pollutants from industrial complex near residential area in the future. In this study, Health impact assessment was conducted to examine the impact on residents in planned areas by analyzing previous residential development projects. We predicted future impact by using the literature survey results on surrounding area (case1) and conducting contribution analysis (case2) and predicting exposure concentration of carcinogenic substances applying Atmospheric Diffusion Model (AERMOD). By this study, we concluded that applying on-site survey, contribution analysis and prediction of exposure concentration by using AERMOD complementarily will be effective to assess the health impact to the receptors by pollutants from industrial complexes near the planned zone.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.4
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• pp.91-100
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• 2010

Existing traffic safety studies have focused on identifying the relationship among roadway crashes, highway design and incremental weather condition such as rainy/ice weather. However, it is hard to find researches that studied the effect of sun glare on traffic safety although there are abundant evidences demonstrating that fatal traffic crashes are attributed to the sun glare. Affecting drivers'vision particularly during the morning or the evening time when the sun positions close to the horizon, sun glare directly deteriorate drivers'judgmental capability. In this paper, we numerically analyze the effect of sun glare on the drivers'vision in time and space domains. Applied to the roadways around St Louis area in the United States, the GIS based simulation analysis identifies the time of day in a year and the segments of highways that are potentially influenced by the sun glare. This study evidentially confirms the fact that roadway bounded for West and East directions have longer time influenced by sun glare particularly during Spring and Fall season than other roadways. The computational result provides risky time periods of day at intersections or pedestrian crossings where the sun glare potentially endangers traffic safety, which be utilized to reduce the crashes due to the sun glare.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.3
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• pp.457-463
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• 2013

The purpose of this study was to apply the Hazard Analysis Critical Control Point (HACCP) system to the production of dressing. The hazard analysis examined the main materials, industrial water, microbial evaluation, and airborne microorganisms of each working area, as well as the pathogenic microbial contamination risk. The survey was conducted at SJ Company in Jincheon (Chungchengbuk-do), Korea for 30 days from April 1, 2012 to April 30, 2012. The results showed that raw material microorganisms had a total plate count in industrial water below $3.00{\times}10$ CFU/mL in working room I, working room II, the packing room, washing water, and the inspection room for five times in each place. During dressing production (including heat treatment and mixing), general bacteria were detected at an average of $3{\times}10$ CFU/mL, but yeast, mold, and pathogenic bacteria were not detected. Airborne microbiological evaluation (for total plate count, yeast, and mold) found levels below the legal limit at each working area. While workers were positive for microbes in total plate counts, coliform and Staphylococcus aureus were not detected. In conclusion, standards for hygienic management should be established to prevent and decrease hazards, such as general bacteria and pathogenic microorganisms (for example, E. coli, B. cereus, Listeria spp, Salmonella spp, Staph. aureus, Clostridium perfringens, yeast, and mold), and to found critical limits for microorganisms with an HACCP system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.570-576
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• 2020

This study uses beacons and smartphone Global Positioning System (GPS) receivers to establish a location-based disaster/hazard prediction system. Beacons are usually installed indoors to locate users using triangulation in the room, but this study is differentiated from previous studies because the system is used outdoors to collect information on registration location and temperature and humidity in hazardous areas. In addition, since it is installed outdoors, waterproof, dehumidifying, and dustproof functions in the beacons themselves are required, and in case of heat and humidity, the sensor must be exposed to the outside, so the waterproof function is supplemented with a separate container. Based on these functions, information on declining and vulnerable areas is identified in real time, and temperature/humidity information is collected. We also propose a system that provides weather and fine-dust information for the area concerned. User location data are acquired through beacons and smartphone GPS receivers, and when users transmit from declining or vulnerable areas, they can establish the data to identify dangerous areas. In addition, temperature/humidity data in a microspace can be collected and utilized to build data to cope with climate change. Data can be used to identify specific areas of decline in a microspace, and various analyses can be made through the accumulated data.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.439-446
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• 2017

The Maritime Safety Act established restrictions for the passage of oil tankers, prohibiting vessesl carrying more than 1,500 kiloliters of oil or 1,500 tons of a hazardous liquid substance. Prohibited vessels that do not satisfy the restrictions are allowed to enter and depart from a nearby port from the outer sea area to minimize the time and distance the oil tanker must navigate in the prohibited area. Therefore, such regulation should not be construed as referring to inshore traffic. In this study, the traffic volume of coastal tankers that do not use the approaching channels for specific sea areas near Yeosu and Gwangyang Port was analyzed, and the cargo loads of these ships were investigated. The results of this study should be used to allow tankers to minimize the time and distance of navigation in prohibited areas. According to the survey, 16 vessels, 51.6 % of the 31 vessels using inshore traffic included in the study, were loaded with more than 1,500 tons of cargo. This is not appropriate according to the legislation for oil tanker passage. Therefore, in this study, sea routes have been proposed that connect with the approaching channels of specific sea areas, from the outer sea areas of restricted passages. Regulations have also been proposed for the entry and departure of oil tankers around Yeosu and Gwangyang Port.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1337-1348
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• 2017

In this paper, we develop the high-risk drinking predictive model in Korea using the cross-sectional data from Korea Community Health Survey (2014). We perform the logistic regression analysis, the decision tree analysis, and the neural network analysis using the data mining technique. The results of logistic regression analysis showed that men in their forties had a high risk and the risk of office workers and sales workers were high. Especially, current smokers had higher risk of high-risk drinking. Neural network analysis and logistic regression were the most significant in terms of AUROC (area under a receiver operation characteristic curve) among the three models. The high-risk drinking predictive model developed in this study and the selection method of the high-risk intensive drinking group can be the basis for providing more effective health care services such as hazardous drinking prevention education, and improvement of drinking program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.308-316
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• 2020

This study attempted to derive an equation for calculating the damage impact distance using CARIS so that local governments can quickly determine evacuation and notification of residents in the event of an ammonia-release accident. Ammonia is an accident-causing substance and one of 16 substances to prepare for resident evacuation. It is the most frequently occurring chemical with 58 chemical accidents from 2014~2019. The study derives an equation for calculating the damage impact distance according to the exposure time of ammonia based on AEGL, an acute exposure standard applicable to the general population, which is includes vulnerable groups such as infants, children and the elderly and designated by the EPA. The calculation formulas for each concentration and exposure time to classify the hazardous area according to AEGL-3 and the semi-dangerous area according to AEGL-2 were derived. A comparison of the relative standard deviation between the damage impact distance values of CARIS revealed that is was in the range of 0~2%. Local governments should consider the actual accident situation and apply the appropriate damage-affected distance calculation formula derived from the study to evacuate residents near the origin of the accident or use for protective measures such as indoor evacuation notification.

• The Korean Journal of Pesticide Science
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• v.10 no.3
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• pp.183-188
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• 2006

A nation-wide monitoring survey was performed to look into pesticide use pattern and amount on farmers' field after the national registration of pesticides from 2003 to 2004. Tow hundred ninety two leading farmers involved in the survey were chosen from main cultivating regions of targeted crops in consideration with area. Most farmers involved in the survey follow the safe use guideline of pesticides, while their information to select and making-decision for purchasing pesticides were done according to the recommendation of mainly pesticide market dealers or agricultural cooperative dealers. Used amount of pesticide per unit cropping area was surveyed as 5.51 on paddy, 3.91 on field cabbage, 2.93 on greenhouse cabbage, 0.76 on lettuce, 0.55 on spinach, 1.34 on perilla leaf, 4.89 on leek and 0.42 kg $ha^{-1}$ on young radish. As compound with those surveyed from 1999 to 2000, the pesticide amounts used for rice, lettuce and perilla leaf were reduced while that for cabbage was increased.

• Journal of Food Hygiene and Safety
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• v.28 no.2
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• pp.99-107
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• 2013

Food contaminants are an emerging issue because food is highly influential to human health. Delphi survey was performed to establish the plan for effective management of food contaminants. Fifty experts from academia, research institute, government and food industries on food safety and policy participated in this study. From open-end questions 161 topics were collected and classified into five areas and 42 topics as the first round. The five areas were 'the integrated management system on food contaminants', 'safety management of food contaminants derived from environment', 'safety management of natural toxins contaminated on foods', 'safety management of hazardous substances produced during food processing' and 'construction of cooperative system and public relationship'. At the second round, after analyzing the replies (30/50 replied) the preliminary order was obtained and it was confirmed at the third round (24/30 replied). We suggest the order of priority for required research area of food contaminants considering the importance and urgency of the research.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.927-940
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• 2017

Landslide has been a major disaster in Indonesia, and recent climate change and indiscriminate urban development around the mountains have increased landslide risks. Java Island, Indonesia, where more than half of Indonesia's population lives, is experiencing a great deal of damage due to frequent landslides. However, even in such a dangerous situation, the number of inhabitants residing in the landslide-prone area increases year by year, and it is necessary to develop a technique for analyzing landslide-hazardous and vulnerable areas. In this regard, this study aims to evaluate landslide susceptibility of Java, an island of Indonesia, by using GIS-based spatial prediction models. We constructed the geospatial database such as landslide locations, topography, hydrology, soil type, and land cover over the study area and created spatial prediction models by applying Weight of Evidence (WoE), decision trees algorithm and artificial neural network. The three models showed prediction accuracy of 66.95%, 67.04%, and 69.67%, respectively. The results of the study are expected to be useful for prevention of landslide damage for the future and landslide disaster management policies in Indonesia.