Analysis of Roadside Inhalable Particulate Matter (PM10) in Major Korean Cities

A data analysis of three major Korean cities was conducted to assess roadside inhalable particulate matter 10 μm or smaller in aerodynamic diameter (PM₁₀), including temporal and meteorological variations, over a recent period of 4 to 6 years. The yearly roadside PM₁₀ concentrations presented a well-defined increasing trend or no trend depending on the roadside monitoring station. Most mean values exceeded or approximated the Korean standard of 70 μg/m³ per year for PM₁₀. A representative roadside diurnal trend was characterized by a distinct morning maximum. In most cases, the Sunday roadside concentrations were similar to or somewhat lower than the weekday concentrations, and the PM₁₀ concentrations presented a well-defined seasonal variation, with the maximum concentration in March. The monthly maximum concentrations observed in March were most likely attributable to Asian dust storms. In two metropolitan cities (Seoul and Busan), the frequency of days with roadside PM₁₀ concentrations exceeding the standard of 150μg/m³ per 24 h was much lower for the roadside monitoring stations than for the residential monitoring station, whereas in the third city (Daegu), this result was reversed. Interestingly, the average maximum concentrations observed for the roadside sites in Seoul and Busan during March were higher than those for the residential sites, suggesting that the roadside concentrations responded more to the dust storms than the residential areas. The relationship between the pollutant concentrations and five important meteorological parameters (solar radiation, wind speed, air temperature, relative humidity, and precipitation) showed that the number and type of meteorological variables included in the equations varied according to the monitoring station or season. Finally, the current results confirmed that attention should be given to the PM₁₀ exposure of residents living near roadways.     

环境空气监测子站气象仪器性能状况比对研究

气象监测是环境空气质量监测的重要组成部分,在环境空气质量精细化管理中发挥着重要作用.气象部门通常采用集中送检或现场校准的方式对气象仪器性能状况进行检查,但环保部门对监测子站气象仪器的相关性能检查还处于空白状态.结合国家环境空气质量自动监测网管理现状,研究采用现场比对方式进行气象仪器性能评估.试验过程中,温度、气压比对数...     

Air Pollution Potential: Regional Study in Argentina

/ Air pollution potential is a measure of the atmospheric conditions that are unable to transport and dilute pollutants into the air, independently of the existence of sources. This potential can be determined from two atmospheric parameters: mixing height and transport wind. In this paper a statistical analysis of the mixing height and transport wind, in order to determine the areas with high or poor atmospheric ventilation in Argentina, is presented. In order to achieve this, meteorological data registered during 1979-1982 at eight meteorological stations were used. Daily values of the maximum mixing height were calculated from observations of daily temperatures at different heights and maximum surface temperature. At the same time as the maximum mixing height, the values of the transport wind were determined from the surface windspeed and the characteristics of the ground in the surroundings of each meteorological station. The mean seasonal values for both parameters were obtained. Isopleths of the mean seasonal of the maximum mixing heights were drawn. The percentage of seasonal frequencies of poor ventilation conditions were calculated and the frequency isopleths were also drawn to determine areas with minor and major relative frequencies. It was found that the northeastern and central-eastern regions of Argentina had a high air pollution potential during the whole year. Unfavorable atmospheric ventilation conditions were also found in the central-western side of the country during the cold seasons (37.5% in autumn and 56.9% in winter). The region with the greatest atmospheric ventilation is located south of 40 degrees S, where the frequency of poor ventilation varies between 8.0% in summer and 10.8% in winter.     

2017～2018年荆州城区空气质量分布及重污染天气特征分析

利用2017年1月至2018年12月荆州城区3个国家环境空气质量监测点的污染物监测数据和荆州国家气象站地面气象要素观测数据,采用统计学方法,对荆州城区空气质量分布及重污染过程天气特征进行了初步分析,结果表明:空气污染综合指数冬季最高,春秋季次之,夏季最低;PM2.5、PM10、 CO和NO2的浓度在上午和傍晚至上半夜其...     

Cargo-specific accidental release impact zones for hazardous materials: risk and consequence comparison for ammonia and hydrogen fluoride

Impacts of hazardous material releases during transport depend on the characteristics of the cargo, incident location and time, weather conditions (i.e., wind direction and speed), and land use. The objectives of this research were to characterize the dispersion characteristics of two hazardous materials (ammonia and hydrogen fluoride) in relation to meteorological parameters, land use, and cargo characteristics; and evaluate the health risks associated with the exposure after accidental releases. The magnitudes of the impact zones were compared in relation to atmospheric stability and exposure levels. Impact zones were estimated by areal locations of hazardous atmospheres software and imported to ArcGIS. For ammonia, the areas impacted by exposure levels over 1100 ppm Acute Exposure Guideline Level 3 (AEGL-3) were limited to less than 0.3 miles downwind from the incident location under unstable atmospheric conditions, which favor high vertical mixing and rapid dilution, and extended further downwind to distances between 0.5 and 0.7 miles under stable atmospheric conditions. For hydrogen fluoride, the AEGL-3 impact zone (exposure levels over 44 ppm) extended between 0.6 and 0.9 miles directly downwind from the incident location under unstable conditions, and reached approximately 2.0 miles directly downwind from the incident location under stable atmospheric conditions. The results were compared with the Emergency Response Guideline (ERG 2012) and showed agreement. The multilevel analysis of impacts after hazardous material releases during transport (i.e., type of material, geographical data, dispersion profile, meteorological information) can be used for implementing appropriate response and mitigation measures for accidental releases of hazardous cargo.     

气象因素对大连空气中PM_(2.5)的去除效应分析

根据2013年1月1日至2月15日大连市环境监测中心PM2.5监测数据和大连市气象局风向、风速、降水量等资料,研究了降雪、降雨、风等气象因素对大气中PM2.5的去除效应。结果表明,大连市冬季采暖期PM2.5污染较重,PM2.5浓度受气象因素影响较明显。降雪、降雨、风三种气象因素对大气中PM2.5均有明显的去除效果,因去除机理不同,各气象因素对PM2.5的去除能力大小依次为风、降雨、降雪,去除效率分别为61.6%、46.0%、34.5%。     

Wind power potential assessment for three buoys data collection stations in the Ionian Sea using Weibull distribution function

The present article utilizes wind measurements from three buoys data collection stations in Ionian Sea to study the wind speed and power characteristics using the Weibull shape and scale parameters. Specifically, the site dependent, annual, and monthly mean patterns of mean wind speed, Weibull parameters, frequency distribution, most probable wind speed, maximum energy carrying wind speed, wind power density and wind energy density characteristics have been analyzed. The Weibull distribution was found to represent the wind speed distribution with more than 90% accuracy, in most of the cases. Moreover, the correlation between the percentages of times the wind speed was above cut-in-speed and the measured mean wind speed for the three selected sites, as the correlation between the aforementioned percentages and the scale parameter c were examined and were found linear. At all these sites, no definite increasing or decreasing trends in annual mean wind speed values could be detective over the data reporting period. The mean values of wind speed, scale parameter, most probable wind speed, maximum energy carrying wind speed, wind power and wind energy density values showed higher values during winter time and lower in summer time in Pylos and Zakynthos. Moreover, Pylos and Zakynthos were found to be the best sites from wind power harnessing point of view.     

运用机器学习方法预测空气中臭氧浓度

臭氧(O_3)浓度变化与天然源、移动源和点源的排放量存在某些隐含的关联。根据臭氧浓度变化的特性,基于污染源在线排放数据、气象监测数据以及空气质量监测数据构造特征,运用机器学习方法进行逐小时臭氧浓度预测。该方法不仅充分利用了臭氧浓度变化时序数据,而且考虑了气象条件变化对污染物浓度变化的影响,最重要的是将点源排放氮氧化物这一臭氧生成的重要前体物纳入模型考虑。在金砖国家领导人厦门会晤前后(2017年8月31日至9月9日),运用该方法对厦门市溪东、洪文、鼓浪屿和湖里中学四个大气自动监测站的臭氧小时浓度平均值进行滚动预报,比较准确地模拟出臭氧浓度的日周期性变化,同时对峰值和低谷能够进行较为有效的捕捉和刻画。按照《环境空气质量标准》(GB3095—2012)臭氧日最大八小时浓度平均值进行评价,四个站点均取得了90%的预报等级准确率。     

Location wise comparison of mixture distributions for assessment of wind power potential: A parametric study

Scientific literature discussed various types of mixture models and models derived from maximum entropy principle using short-term wind speed data for their relative assessment. The literature on suitability of these mixture models for long-term data is rarely available. However, for correct assessment of wind power potential both wind speed and wind direction are equally important. Therefore, in this paper, both wind speed and wind direction are simultaneously analyzed using several types of mixture distribution and compared the same with conventional Weibull distribution. For wind speed and wind power density assessment, the mixture distributions such as Weibull--Weibull distribution, Gamma--Weibull distribution, Truncated Normal--Weibull distribution, Truncated Normal--Normal distribution, proposed Truncated Normal--Gamma distribution and Gamma--Gamma distribution along with MEP-distribution are compared with conventional 2-parameter Weibull distribution. Similarly, for wind direction analysis, the finite mixtures of von-Mises distribution are compared with conventional von-Mises distribution. Judgment criteria include R², RMSE, Kolmogorov--Smirnov test and relative percentage error in wind power density. The sites selected are the three onshore locations of India, viz., Calcutta, Trivandrum, and Ahmedabad. The results show that for wind speed assessment, mixture distribution performs better than the conventional Weibull distribution for analyzing wind power density. However, location wise comparison of all mixture distribution is of prime importance. For wind direction analysis, finite mixture of two von-Mises distributions proved to be a suitable candidate for Indian climatology.     

Photocatalytic degradation of disperse blue 1 using UV/TiO2/H2O2 process

The photocatalytic degradation of a dye derivative, C.I. disperse blue 1 (1), has been investigated under UV light irradiation in the presence of TiO2 and H2O2 under a variety of conditions. The degradation was studied by monitoring the change in substrate concentration employing UV spectroscopic technique as a function of irradiation time. The degradation was studied under different conditions such as different types of TiO2, reaction pH, catalyst and substrate concentration containing hydrogen peroxide (H2O2), besides molecular oxygen in the presence of TiO2. The degradation of dye was also investigated under sunlight and the efficiency of degradation was compared with that of the artificial light source. The degradation rates were found to be strongly influenced by all the above parameters. The photocatalyst Degussa P25 was found to be more efficient for the degradation of the dye.     

长沙市灰霾天气与气象因子相关性研究

根据长沙市2013年PM2.5的逐日质量平均浓度、气象地面和高空观测数据,采用SPSS方法,分析了长沙市灰霾天气发生与气象因子的关系。结果表明:长沙市区的灰霾日以西北风向为主,PM2.5浓度与风速、降水呈显著负相关,与相对湿度、大气压、平均气温相关不明显。风速越小越不利于大气污染物的扩散,在没有降水的情况下,风速达到3.5m/s以上,空气质量才有好转;弱降水对污染物的浓度不会有明显的影响,降水量在5mm以下时,污染物的浓度不会有明显的下降,但强降水对空气有净化作用明显,在不同季节,不同时段,不同天气形势下降水的稀释作用不同;长沙秋冬季边界层稳定性几率高达80%以上,这种稳定层结构是长沙市区各种大气污染源不易扩散的重要因素之一。     

上海市青浦区PM10污染状况及其与气象要素的关系

利用2006-2010年上海市青浦区PM10和同期地面气象要素的监测资料,定量分析PM10的季节变化规律以及PM10与降雨量、大气湿度和风速之间的关系。分析结果表明:PM10浓度在夏季处于低值,冬季处于高值;5mm/d以上的降雨对PM10有显著的清除作用,且春夏季降雨的清除作用大于秋冬季节。PM10浓度与大气湿度基本呈负相关关系。风速在一定范围内有利于PM10的扩散但不至造成扬尘,春夏季节的适宜风速是1.5～3.5m/s,冬季的适宜风速是1.5～2.5m/s。     

风的污染指数在大气污染中的应用

根据无锡特定的气候条件，对风的污染指数Id进行修正，并将Id=0．27定为污染型和清洁型的临界值。Id作为反映污染程度的指标，与SO2的线性相关较好，而与NOx几乎无相关性；通过风的污染指数Id计算的污染机率，与污染主要来源于上风向污染物长距离输送的监测点污染物浓度相关性较好，因此，风的污染指数Id经过修正后可以用来判断SO2等长距离输送类污染物的污染程度。     

升钟水库富营养状况及生物群落调查评价

根据2008～2009年对升钟水库的逐月监测结果,采用综合营养状态指数法,对湖泊富营养化现状进行了评价,并对水库的浮游植物群落种类和密度进行了定性定量分析。结果表明,水库目前处于中营养状态,但在初夏和秋季由于温度和降水等气象条件的影响,可达到轻度富营养,其程度随季节变化明显：初夏和初秋形成高峰,冬、春季为低谷。从生物群落分析,浮游植物种类及密度在不同季节差别较大,初春及夏季的较其他季节多、冬季最低,优势种为蓝绿藻和硅藻。     

Design and analysis of artificial bee-colony-based MPPT algorithm for DFIG-based wind energy conversion systems

In this article, the proposed maximum power point tracking (MPPT) method is designed by taking rotor speed as an optimization problem, which is solved by artificial bee colony (ABC) algorithm to generate the maximum power output. The main advantage of this algorithm is that its optimal solution is independent of the initial positions and requirement of lesser number of control parameters, which leads to simple and robust MPPT algorithm than other algorithm. Furthermore, the hill climb search and particle swarm optimization-based MPPT algorithm are also discussed and the results obtained by these are compared to verify the effectiveness of proposed algorithm. Simulations for MPPT control along with doubly fed induction-generator-based wind energy conversion system is carried out in MATLAB/Simulink environment. Three statistical methods are used to evaluate the accuracy of each MPPT algorithm. All results are analyzed and compared under randomly selected wind as well as real wind speed configuration. Comparison of both numerical and simulation results under two different varying wind speed conditions strongly suggest that the proposed ABC-based MPPT algorithm is superior than other two MPPT algorithms.     

SATELLITE DETECTION OF SEICHES IN GREAT SALT LAKE,UTAH1

ABSTRACT: On June 15, 1977, an unusual brightness anomaly was detected in the north arm of Great Salt Lake, Utah, on NOAA-5 Very High Resolution Radiometer (VHRR) visible band imagery and on Landsat-2 multispectral visual band imagery. Retrospective inspection of NOAA-3, 4, and 5 satellite imagery from 1974–77 revealed 12 previous cases of the anomaly, whereas post monitoring documented nine other cases through May 1978. Comparison of lake levels in the north arm with meteorological parameters leads to the conclusion that the anomalous brightness is associated with wind induced seiches in the north arm. Apparently the wind induces a lower water depth, turbulence, and mixing throughout the water column in the western third of the north arm, thus increasing the brightness of the surface waters chiefly from sediment resuspension.     

Wind energy potential analysis for Thailand: Uncertainty from wind maps and sensitivity to turbine technology

Rapid development of wind energy has been witnessed in Thailand. However, different wind resource maps (over land) have brought great uncertainty to wind energy planning. Here, four important mesoscale wind maps were considered: DEDP (2001), World Bank (2001), Manomaiphiboon et al. (2010) of JGSEE, and DEDE (2010). The wind maps were first harmonized to a common grid at 100 m and then compared. The earlier wind maps (DEDP and World Bank) are shown to represent the lower and upper limits of predicted speed, respectively, while JGSEE and DEDE tend to be more moderate with predictions statistically closer to observations. A consolidated wind map was constructed based on their median and shown to have the best prediction performance. It was then used for the technical potential analysis, in which three large (2-MW) turbine models (two conventional and one designed for low wind speed) were considered. By GIS techniques, any land areas not feasible for large wind turbines were excluded, and the corresponding overall onshore technical potential ranges between 50 and 250 GW, depending on map and turbine model. Considering only economically feasible turbines (with capacity factors of 20%) and the median-based map, the final technical potential equals 17 GW when using the low-wind-speed model but is reduced to 5 GW with the conventional models, adequately meeting the national wind energy target of 3 GW by the year 2036. The results suggest a strong sensitivity of estimated technical potential to turbine technology and a suitability of low-wind-speed turbines for wind conditions in Thailand.     

Coupled abiotic-biotic mineralization of 2,4,6-trinitrotoluene (TNT) in soil slurry

The explosive 2,4,6-trinitrotoluene (TNT) is a contaminant of soils and ground waters worldwide. To help alleviate such environmental contamination, we investigated a coupled abiotic-biotic treatment scheme for remediating TNT-contaminated soil in slurry solutions. Two types of soil were used (sandy and silt loam) to simulate different soils that might be found at actual sites. These soils were subsequently contaminated with 5000 mg kg(-1) TNT. Mineralization of TNT was initially optimized for minimum reactant use (Fe(3+) and H(2)O(2)) and maximum soil slurry percentage (percent solids) using modified Fenton reactions conducted in the absence of light followed by the addition of an uncharacterized aerobic biomass. Greater than 97% TNT degradation was observed under optimum reaction conditions for both soils. Using two optimum reactant concentrations for each soil, coupled abiotic-biotic reactions showed an increase in TNT mineralization, from 41 to 73% and 34 to 64% in the sandy soil (10 and 20% slurry, respectively, 1470 mM H(2)O(2)), and increases from 12 to 23% and 13 to 28% in the silt loam soil (5% slurry, 294 and 1470 mM H(2)O(2), respectively). These results show promise in the use of combined abiotic-biotic treatment processes for soils contaminated with high concentrations of TNT.     

乌鲁木齐市地面风场特征及其对空气污染影响初探

利用2005—2006年乌鲁木齐辖区9个地面自动气象站逐日逐时风速和风向监测数据,初步分析了乌鲁木齐市地面风场的主要特征;通过对2006—01—12乌鲁木齐市区连续多日出现重污染时段地面风场的分析,得出地面风场对重度空气污染的影响。