In this study, the performances of H2S, NH3, and HCl sensors for real-time monitoring in small emission facilities (4, 5 grades in Korea) were evaluated at high concentration conditions of those gases. And the proper approach for the collection of reliable measurement data by sensors was suggested through finding out the effect on sensor performances according to changes in temperature and humidity (relative humidity, RH) settings. In addition, an assessment on sensor data correction considering the effects produced by environmental settings was conducted. The effects were tested in four different conditions of temperature and humidity. The sensor performances (reproducibility, precision, lower detection limit (LDL), and linearity) were good for all three sensors. The intercept (ADC0) values for all three sensors were good for the changes of temperature and humidity conditions. The variation in the slope value of the NH3 sensor showed the highest value, and this was followed by the HCl, H2S sensors. The results of this study can be helpful for data collection by enabling the more reliable and precise measurements of concentrations measured by sensors.
본 연구에서는 국내 서로 다른 지리적 특성을 갖는 지역에서 발생되는 해륙풍에 의한 항만 내 선박 대기오염물질의 항구도시 확산 범위를 규명하고자 하였다. 연구 대상 지역은 서해안(인천항 및 평택·당진항), 다도해 지역(목포항), 남해 및 동해(부산항 및 마산항), 동해 산간 지역(동해·묵호항)으로 선정하였다. 해륙풍 발생과 그로 인한 항만 내 선박에서 기인하는 대기오염물질의 확산 모사를 위하여 비선형(Non-linear) 및 비정상(Unsteady) 거동의 국지 순환풍 모사가 가능한 HOTMAC-RAPTAD 프로그램을 활용하였으며, 모사 기간은 전형적인 여름 날씨인 7월 중순으로 하였다. 그 결과, 해륙풍의 발생 특성과 항만에서 발생되는 대기오염물질의 주변 지역 확산 거동이 지역 마다 서로 다르게 나타났는데 연구 대상 항만인 인천항, 목포항, 부산항, 동해·묵호항에서 배출되는 대기오염물질은 항구로부터 각각 27~31km(서울 서쪽 일부 지역), 21~24km(무안 남부), 20~26km(김해 및 양산 인근), 22~25km(태백산맥 능선 지역)까지 영향을 끼치는 것으로 분석되었다. 따라서 본 연구에서 도출된 결과는 향후 효과적인 항만 지역 대기질과 선박 대기오염물질 관리에 있어 매우 중요한 기초 수단으로 활용 가능할 것으로 기대된다.
본 연구는 화력발전소 배출로 인한 지표면 오염물질 농도의 시·공간적 영향을 실측 자료를 바탕으로 정량적으로 분석하려는 목적으로 수행되었다. 배출과 농도 관계의 정량적 분석을 위해 우선 기상 조건과 주변 배출원의 영향을 고려하였다. 이를 위해 자료의 선택과 관측지점 선정 과정을 제안하였고, 선정된 지표면 시·공간 자료에 K-Z 필터와 경험직교함수(EOF) 분석 기법을 적용하였다. 사용된 자료는 2014-2017년 4년의 기간 동안 당진과 태안 화력발전소 굴뚝 자동측정기기의 농도값을 이용하여 산출한 한 시간 평균 배출량 자료와 지표면 대기오염농도 측정망 자료이다. 기상 자료로는 최근 배포 중인 ERA5 재분석자료와 기상청 종관기상관측소 한 시간 평균 자료가 사용되었다. 발전소만의 영향이 최대한 보이도록 기상 효과와 지리적인 요인을 고려하여 선택한 시간대의 선정된 관측소 자료만을 이용하여 분석한 결과, 지표면 대기오염물질의 EOF 첫 번째 모드는 SO2, NO2, PM10 모두에 대해 97% 이상의 변동성을 설명하였다. 또한 지표면 농도장의 EOF 첫 번째 모드의 시계열은 화력발전소 배출과 유의미한 상관성을 보였다. 결과적으로 당진 화력발전소 SO2, NO2, TSP 시간 당 배출량이 각각 10%가 감소하면, 남서풍 계열의 바람에 의해 직접 영향을 받는 서울 수도권 지표면 평균 SO2 농도는 0.468 ppb (R=0.384), NO2는 1.050 ppb (R=0.572), PM10은 2.045 μg m−3 (R=0.343) 정도가 감소한다고 판단할 수 있다. 태안화력발전소의 경우, SO2, NO2, TSP 배출량을 각각 시간당 10% 씩 감축하면, SO2는 0.284 ppb (R=0.648), NO2는 0.842 ppb (R=0.683), PM10은 1.230 μg m−3 (R=0.575) 정도가 감소될 수 있음을 확인하였다. 태안화력발전소는 당진화력발전소에 비해 수도권지역 농도에 미치는 영향은 작았으나, 상관관계는 더 높았다.
본 연구에서는 선박용 엔진을 활용하여 E2, E3 사이클 시험 결과로부터 연료 내 황 함유량 변화에 따른 대기오염물질 배출 특성을 조사하였다. 테스트를 위해 사용된 엔진은 360 PS의 엔진(Doosan L126TIH engine)을 활용하였고, 동력계로는 Horiba-Schenck사의 400㎾급 동력계인 W400을 사용하였다. 엔진에서 발생되는 대기오염물질 계측을 위해서는 오스트리아 AVL사의 FTIR과 SPC 장비를 배기라인 후단에 장착해서 사용하였다. 실험 결과로는 E2, E3 사이클 모두에서 연료 내 황 함유량이 증가할수록 THC와 CO의 단위 출력 당 배출량은 감소하고 입자상물질은 증가하였다. 연료의 황 함유량이 증가할수록 동점도가 증가되어 엔진의 연료소모율이 좋아지는 것을 확인하였다. 이는 본 연구에 사용된 엔진의 경우 연료 분사압력이 일정한 상태에서 동점도 증가에 따른 분무입자의 평균입경이 커짐에 따른 연소 상태가 개선되었기 때문이라 생각되어진다. 질소산화물의 경우 이번 연구에서는 황함유량의 변화에도 배출량에서는 큰 변화를 보이지 않았다.
인간이나 환경에 해로운 영향을 주는 지속성 유기오염물질의 독성을 평가하기 위해서 염분과 온도에 대해 내성이 강한 Acartia 종들과 Artemia을 대상으로 실험하였다. 지속성 유기오염물질인 PAHs와 TBT에 대한 요각류의 독성을 평가하기 위해 3가지의 실험을 실시하였다. 1) 광양만에서 주로 나타나는 5가지 PAHs(anthracene, benzo〔a〕pyrene, fluoranthene, phenanthrene, pyrene)에 대한 A. omo
분리막을 이용한 정수처리 공정의 최적화를 위하여 유기물 성분인 humic acid와 탁도를 유발하는 kaolin을 모사 용액으로 제조하여 막내 비저항 값을 최소화하면서 flux의 안정된 경향을 나타내는 최적의 운전 조건을 검토하여 보았다. 그 결과 압력이 증가함에 따라 낮은 비저항값에서 효율적인 분리막을 운전할 수 있으며 선속도가 증가함에 따라 높은 전단율에 의해 cake load는 줄어들었으며 이에따라 비저항값과 flux는 증가하는 경향을 나타내었다. 따라서 최적의 운전조건은 압력 2.0 kgf/cm2, 선속도 0.92 m/sec으로 알 수 있었다.
This study were to simulate major criteria air pollutants and estimate regional source-receptor relationship using air quality prediction model (TAPM ; The Air Pollution Model) in the Seoul Metropolitan area. Source-receptor relationship was estimated by contribution of each region to other regions and region itself through dividing the Seoul metropolitan area into five regions. According to administrative boundary, region Ⅰ and region Ⅱ were Seoul and Incheon in order. Gyeonggi was divided into three regions by directions like southern(region Ⅲ), northern(Ⅳ) and eastern(Ⅴ) area. Gridded emissions (1km×1km) by Clean Air Pollicy Support System (CAPSS) of National Institute of Environmental Research (NIER) was prepared for TAPM simulation. The operational weather prediction system, Regional Data Assimilation and Prediction System (RDAPS) operated by the Korean Meteorology Administration (KMA) was used for the regional weather forecasting with 30km grid resolution. Modeling period was 5 continuous days for each season with non-precipitation . The results showed that region Ⅰ was the most air-polluted area and it was 3~4 times more polluted region than other regions for NO2, SO2 and PM10. Contributions of SO2 NO2 and PM10 to region Ⅰ, Ⅱ and Ⅲ were more than 50 percent for their own sources. However region Ⅳ and Ⅴ were mostly affected by sources of region Ⅰ, Ⅱ and Ⅲ. When emissions of all regions were assumed to reduce 10 and 20 percent separately, air pollution of each region was reduced linearly and the contributions of reduction scenario were similar to those of base case. As input emissions were reduced according to different ratio - region Ⅰ 40 percent, region Ⅱ and Ⅲ 20 percent, region Ⅳ and Ⅴ 10 percent, air pollutions of region Ⅰ and Ⅲ were decreased remarkably. The contributions to regionⅠ, Ⅱ, Ⅲ were also reduced for their own sources. However, region Ⅰ, Ⅱ and Ⅲ affected more regions Ⅳ and Ⅴ. Shortly, graded reduction of emission could be more effective to control air pollution in emission imbalanced area.
The chemical and meteorological effects on the concentration variations of air pollutants (O3 and its precursors) were evaluated based on ground observation data in coastal and inland regions, Busan during springs and summers of 2005-2006. For the purpose of this study, study areas were classified into 5 categories: coastal area (CA), industrial area (IA), downtown area (DA), residential area (RA), and suburban area (SA). Two sites of Dongsam (DS) and Yeonsan (YS) were selected for the comparison purpose between the coastal and inland regions. O3 concentrations in CA and SA were observed to be highest during spring (e.g., 40 ppb), whereas those in DA and RA were relatively low during summer (e.g., 22~24 ppb). It was found that O3 concentrations in IA were not significantly high although high VOCs (especially toluene of about 40 ppb) and NOx (≥ 35 ppb) were observed. On the other hand, the concentration levels of O3 and PM10 at the DS site were significantly higher than those at the YS site, but NOx was slightly lower than that at the YS site. This might be caused by the photochemical activity and meteorological conditions (e.g., sea-land breeze and atmospheric stagnance). When maximum O3 (an index of photochemical activity) exceeds 100 ppb, the contribution of secondary PM10 ((PM10)SEC) to total observed PM10 concentrations was estimated up to 32% and 17% at the DS and YS sites, respectively. In addition, the diurnal variations of (PM10)SEC at the DS site were similar to those of O3 regardless of season, which suggests that they are mostly secondary PM10 produced from photochemical reactions.
Enormous apartment complexes in urban areas, temporary inversion state and heat island effect occur due to the strong sunshine and weak wind speeds which hinders the dispersion of air pollutants that are emitted from neighboring areas of apartment complexes. In this study, analysis were conducted by using the Fluent code based on the CFD(Computation Fluid Dynamics), including building layout, material, building height from the ground surface, the heat, analysis of flow field in the apartment complex. It was estimated that the temporal radiation inversion phenomenon during the daytime, which was caused by the weak wind speed and higher temperatures in the upper level, contributed to the stagnation of the air pollutants in the lower layer of the apartment complex.
The recycled washwater, which has different water quality and is produced about 5 to 20% of the total water volume treated, affects the unit operation of water treatment, especially coagulation process. However, the effects of recycled washwater on unit operation of water treatment have not been fully investigated. In this study, effects of recycled washwater on coagulation process were investigated to find the optimum coagulation condition by analyzing turbidity, UV254, TOC removal efficiencies. In addition, effects of recycled washwater on residual Al after coagulation were studied by analyzing soluble and particulate Al. The size distribution and fractal dimension of coagulated also analyzed.
The recycled washwater was lower pH than the raw water. And the recycled washwater had higher UV254, TOC and residual Al concentration than the raw water. Residual Al concentration of recycled washwater was about 50 times higher than that of raw water. Optimum coagulant dosages on the blending recycled washwater and the raw water for turbidity, UV254 and Al removal were lower than that on the raw water. However, TOC removal increased by increasing coagulant dosage. The size and fractal dimension of coagulated particle produced in the blending recycled washwater were larger, which imply faster settling velocity, than those produced in the raw water only.
Air quality modeling about coastal urban region such as Pusan shoud be consider shipping source emmited from ships anchoraging and running. It has been proved at our previous studies that the ratios of air pollutants emission amount in coastal area to inland are 12.2% for NO2 and 11.7% for SO2 and the air quality of coastal urban area consierably counts on ships. Also the dispersion pattern of the air pollutants followed local circulation system in this region. Therefore this study has been developed air quality model which can describe the formation, transport, transformation and deposition processes of air pollutants considering shipping source. Currently, restriction for emission amount of ships does not exist, so our study will be useful to set the emission standard and for devising air quality policy in coastal urban region.