One of the harmful substances produced by livestock manure is ammonia (NH3), which is emitted at a high rate. Additionally, NH3 reacts with sulfur oxides (SOx) and nitrogen oxides (NOx) in the atmosphere to produce fine particulate matter (PM2.5). However, the management and countermeasures for NH3 in livestock facilities were found to be inadequate. To establish effective measures, an NH3 emission factor that complies with certified methodologies is required. This study calculates the emission factor by monitoring NH3 concentration and ventilation between September 2022 and May 2023 in a mechanically-ventilated enclosed facility. The data measurement was performed in accordance with the VERA test protocol from Europe, and NH3 concentrations were monitored in real-time using photoacoustic spectroscopy measurement equipment. The average NH3 concentrations for Rooms 1, 2, and 3 during the entire period were measured at 0.96 ± 0.39 ppm, 1.20 ± 0.57 ppm, and 1.34 ± 0.71 ppm, respectively, with an overall average of approximately 1.17 ± 0.49 ppm. The average ventilation was recorded at 2,782.0 ± 1,510.4 m³/h, with an average internal temperature of 26.0 ± 1.5 °C and a relative humidity of 63.9 ± 5.2%. The average emission factor per room was calculated as 0.14 ± 0.03 g/day/pig for Room 1, 0.19 ± 0.07 g/day/pig for Room 2, and 0.15 ± 0.05 g/day/pig for Room 3. Ultimately, this study determined the average NH3 emission factor for the weaned pig facility to be 0.16 g/day/ pig.

목적: 본 연구는 애플리케이션 기반의 인지중재에 대한 국내연구를 대상으로 치료의 대상, 유형과 효과에 대해 체계적으로 분석함으로써 인지재활 분야에서의 애플리케이션 활용에 대한 근거를 제시하고자 한다. 연구 방법: 자료수집은 국내 학술논문 데이터베이스인 DBpia, e-article, Research Information Sharing Service (RISS), Korean Studies Information Service System (KISS)을 사용하여 2010년 1월부터 2023년 6월까지 게재된 논문을 대상으로 문헌을 검색하였다. 검색어는 (“어플리케이션” OR “애플리케이션” OR “앱” OR “태블릿” OR “아이패드”) AND (“인지” OR “기억력” OR “주의집중력” OR “문제해결” OR “실행기능”)이었다. 검색된 총 4 3 9편의 문헌 중 최종적으로 12편을 선정하였다. 연구 결과: 선정된 12편의 문헌에서 질적 수준 Ⅰ단계에 해당하는 무작위대조군 연구는 5편으로 파악되었으며. 대상자는 주로 성인(75%)이었고, 질환으로는 뇌졸중(33.3%)이 가장 많았다. 중재된 인지영역은 기억력과 주의력이 각각 10편으로 가장 많았고 다음으로는 시각인지로 5편이었다. 12편의 문헌에서 총 18개의 애플리케 이션이 이용되었다. 애플리케이션을 이용한 인지중재는 인지 기능뿐만 아니라 일상생활수행, 삶의 질, 우울, 불안, 치료선호도 등과 관련된 기능 향상에도 유의미한 효과를 나타냈다. 결론: 본 연구를 통해 애플리케이션이 인지 중재를 지원하는 유망한 치료도구임을 확인하였으며, 애플리케이션을 활용한 디지털 인지재활의 근거 기반 중재를 위해, 관련 연구의 질적 수준, 대상, 중재 방법, 효과 유무 등에 대한 정보를 제공하였다는 데 의의가 있다. 인지중재의 임상적 효과의 일반화를 위해 관련 연구의 활성화가 필요하며, 이에 본 연구의 정보가 기초자료로 활용될 수 있길 기대한다.

Ammonia (NH3) is a basic gas in the atmosphere and is known to play an important role in producing adverse health and environmental effects. Atmospheric NH3 causes stunted livestock growth, decreased visibility, and induces lung diseases when high concentrations occur. In addition, atmospheric NH3 reacts with acidic species (sulfuric acid, nitric acid, etc.) and produces secondary inorganic aerosol. In this study, the NH3 concentration and ventilation of Rooms 1 to 3 inside a sow facility were measured during the period from March 25 to May 31, 2021. It was difficult to conduct long-term field experiments at housing where pigs are raised. However, in order to improve the accuracy and reliability of the data, repeated experiments were conducted in three pig rooms in the same environment. The average concentration of NH3 in Rooms 1 to 3 was measured to be 7.6 ± 2.7 ppm, 8.2 ± 2.8 ppm, and 8.2 ± 2.7 ppm, respectively. The average internal temperatures were 21.0 oC, 21.2 °C, and 21.8 °C, and the internal humidity was 49.3%, 49.2%, and 49.2%, respectively. The ventilation per pig in Rooms 1 to 3 was measured as 60.4m3/hour∙pig, 62.5m3/hour∙pig, and 64.9m3/hour∙pig, respectively. At this time, NH3 emissions from Rooms 1 to 3 were found to be 6.9 ± 0.8 g/day∙pig, 7.9 ± 1.5 g/day∙pig, and 8.2 ± 1.3 g/day∙pig, respectively. As a result of the correlation analysis, the NH3 concentration was analyzed as producing a negative correlation between the ventilation (r=-0.73) and the internal temperature (r=-0.60) increase. Finally, as a result of calculating the national NH3 emission factor, the NH3 emission of one sow room in spring was 7.7 ± 1.4 g/day∙pig, and the NH3 emission of one year was 2.8 kg/ year∙pig.

The sampling bag is used as a storage container for odor gas samples. It is known that the substances recovery rate of odor bags decreases during storage time, and the degree of recovery varies depending on the characteristics of the gas sample and the material of the bag. This study investigated the recovery rate of VFA (ACA, PPA, BTA, VLA) in PEA bags during storage time. In addition, a model was developed to estimate the recovery rate of each substance as a function of time. Standard gas (ACA, PPA, BTA, VLA mixed) recovery rate was used for the model development. The concentration of the compound in the bag was measured by SIFT-MS at intervals of 1 to 2 hours. The recovery rate according to the storage time was calculated as the ratio to the initial concentration. The recovery rate of each substance according to the storage period (12h, 24h, 36h, 48h) was ACA (66.2%, 62.8%, 55.6%, 52.0%), PPA (77.6%, 72.1%, 63.0%, 58.1%, 86.6%), BTA (86.6%, 81.3%, 71.6%, 66.9%), VLA (94.8%, 89.0%, 76.6%, 71.7%). The recovery rate continued to decrease over the course of 48 hours of storage time. ACA, PPA, and BTA showed the greatest decrease within the initial 12 hours, which is form of exponential decrease. Therefore, we considered a 1~3 degree polynomial regression model and a 1~2 degree exponential decay model. Each developed model was evaluated by r², RMSE, MAPE, AIC, and then a model for each substance was selected. Selected models were tested with recovery rate data from swine farm odor samples. Only the ACA model exhibited a good performance (r² = 0.76).

PURPOSES : This study aimed to examine the effect of fog on the optical properties of taillights and the relationship between luminous intensity and the visibility distance of taillights on the road. METHODS : Changes in luminous intensity were measured using a light meter. Participants subjectively evaluated visibility distance. The artificial fog was reproduced using weather-generating facilities at the Center of Road Weather Proving Ground (CRPG). RESULTS : As expected, the average luminous intensity under intermediate fog conditions was reduced to 72% compared to normal weather conditions and 44% under heavy fog conditions in the case of the tail lamp-only lit condition. In the case of the tail lamp and brake lamp lit condition, the average luminous intensity was reduced to 76% under heavy fog conditions and 55% under intermediate fog conditions compared to normal dry conditions. In addition, the average visibility distance was reduced by 41% when fog conditions changed from intermediate to heavy in the case of the tail lamp-only lit condition and 39% in the case of the tail lamp and brake lamp lit conditions. Changes in visibility distance corresponding to the gradual change in luminous change were evaluated by participants, and the linearly regressed equations for the relationship between the intensity levels and the visibility distance were derived and examined for their meaning in terms of road traffic safety concerning stopping sight distance. CONCLUSIONS : Luminous intensities were suggested, given the design speeds, to satisfy the minimum stopping distances. In addition, the required speed reduction allowances were suggested given the design speeds if the luminous intensity remains unchanged.

Several analytical measurement techniques have been developed over the years for ammonia (NH3). However, the field monitoring of NH3 still remains a significant challenge owing to the wide range of possible environmental conditions and NH3 concentration. In this regard, it is imperative to ensure the quality control of techniques to measure the NH3 emission levels reliably. A present study was conducted to compare the five analytical methods for the measurement of atmospheric NH3 via validation tests under laboratory and field conditions. The analytical instruments applied in the present study were based on wet chemistry, gas detection tube, electrochemical sensor, photoacoustic spectroscopy, and cavity ring-down spectroscopy. The reproducibility and linearity of all the analyzed methods were observed to be high with the relative standard deviation and coefficient of determination (R2) being 10% and > 0.9, respectively. In the case of wet chemistry and high NH3 concentration, the measured NH3 results were found to be close to the actual standard gas levels. Response times of electrochemical sensor showed faster from the instruments utilized more than one year and the high NH3 concentrations. In the field tests, NH3 concentration showed higher in the manure storage tank compared with the pig-pen. In both cases, the NH3 concentration levels measured by gas detection tube were found to be quite different from that of wet chemistry. It was proposed that such differences in NH3 concentration could arise due to the inherent instrumental characteristics and the variations in air velocity during sampling/measurement. The periodic instrumental maintenance, verification, replicate analyses, and suitable consideration of environmental factors should be considered for a more reliable measurement of NH3 concentration under real field conditions.

구조와 사육환경이 동일한 3개의 돈방(room A~C)에서 48일 동안 비육돈의 암모니아 농도 및 환기량을 모니터링하여 배출계수를 산정하였다. 실험 결과, 온도 22.5℃, 습도 53.9% 환경에서 평균 암모니아 순발생 농도 5.93 ppm, 환기량 23.7 m3/h·pig로 나타났다. 일별 상관관계 분석결과, 암모니아 농도는 온도와 음의 상관관계(R2: -0.65 ~ -0.53)를 가지는 것으로 나타났으며, 환기량은 암모니아 농도에 거의 영향을 미치지 않는 것으로 나타났다. 암모니아 농도는 이른 오전을 기점으로 서서히 증가 경향을 보이다가 12~13시경 최댓값에 도달하였고, 상호 상관도가 높은 온도, 습도, 환기량의 경우 14~15시에 최댓값을 갖는 것으로 분석되었다. 시간별 데이터 상관관계 분석결과, 암모니아 배출량에 영향을 미치는 요소는 암모니아 농도(R2=0.71)와 환기량(R2=0.61)으로 이 중, 암모니아 농도가 더 상관성이 높은 것으로 분석되었다. 암모니아 배출계수는 2.28 g/d·pig로 분석되었다.

Pork is a popular meat consumed in Korea. However, the consumption pattern has typically focused on preferred parts, like pork belly, which is usually broiled. This consumption pattern has increased both stocks of low fat parts and medical costs, and has thereby disturbed pork industry growth and the national health welfare. Changing the consumption patterns of preferred parts and encouraging consumption of low fat parts will improve consumers’ quality of life and also increase their benefits. Thus, this study estimated WTP (Willingness To Pay) for health funds among consumers who eat pork meat, considering the health benefits gained by consuming low fat parts and changes in preferred part consumption. The results of this study show that WTP is higher when consumers have a smaller family and a higher income; these consumers plan to increase intake of pork meat in the future and think that the promotion of low fat pork meat consumption is more important. The WTP for health funds is estimated to be 49won to 287won through Logit Model. The health benefits of low fat consumption were estimated to be 92 billion won to 539 billion won per year. Therefore, reforming low fat pork consumption not only changes the traditional consumption pattern focused on preferred parts but also leads to a variety of benefits for consumers, including health benefits.

본 연구에서는 파일럿 및 상용급 규모에서 UF 분리막을 결합한 혐기성 소화 공정을 장기간 운영하여 분리막의 성능, 소화효율, 바이오가스 생산량과 수질 등의 다양한 인자를 도출하였다. 파일럿 규모에서 막의 투과 플럭스는 15∼20 LMH, 막간 차압은 1∼3 kgf/cm2로 운전되었다. 유입수의 TCOD 와 SCOD 는 각각 113 g/L, 62 g/L 이었고, 유출수의 TCOD 와 SCOD는 UF 공정 이후 제거효 율이 93% 및 86% 로 나타났다. 상용급 규모의 운전 결과, 분리막의 투과 플럭스는 12∼15 LMH로 나타났다. 유입수의 CODcr, TS, VS는 각각 236 g/L, 62.5 g/L, 50.2 g/L였으며, 농축여과분리막을 통과 후 제거율은 각각 99%, 94% 및 98%로 조사되었다.

The Manchester Driver Behavior Questionnaire (DBQ) is the most commonly used frameworks for investigating the relationship between self-reported driving behavior and accident involvement. After Reason et al. introduced DBQ, there were many studies replicating the research of Reason et al. in many countries. There was, however, no study replication of the Reason's research in Korea. The aim of this study is to replicate the distinction among errors, lapses and violations, and to evaluate the relationship of these behaviors with road traffic accidents on Korean drivers. 223 Korean drivers completed the Korean version of original DBQ with questions regarding background information, such as age, gender, annual mileage and accident involvement. Participants answered self-assessment questions, also. Factor analysis revealed three factors like Reason et al. The three factors were dangerous errors, violations and relatively harmless errors.