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.     

审时度势创新发展全方位推进环境监测现代化建设

回顾了环境监测的发展历程,指出环境监测还面临着定位不明、服务单一、投入不足、监测能力建设滞后的问题。阐述了环境监测现代化建设的总体目标和要求,提出面向“十一五”,围绕建设环境友好型社会、构建和谐社会的时代要求,环境监测必须抓住战略发展机遇,努力开拓创新,健全法制,理顺体制,多元投入。激活机制。强化科研。拓展领域,增强能力。发展事业。全方位推进现代化建设。     

环境监测机构体制改革设想

指出了环境监测机构存在的问题，提出环境监测机构体制改革应从3方面考虑：机构改革应实行垂直管理，政，事分开，职能改革应体现环境监测站以环境质量监测为基本职能；内部管理改革需建立以聘任制为基础的用人制度，岗位管理和竞争上岗制度，适当的分配激励机制。     

计算机图像识别的烟气自动监测

介绍了计算机图像识别的烟气排放自动监测方法，它由监控点图像处理系统和监控中心自动监控系统组成。该方法可应用于工业企业烟气排放的自动检测，若有超标排放，系统自动发出警告，显示出该超标排放的点位和烟气林格曼黑度的级别，特别适用于网络信息化管理。     

GSM移动通信基站电磁辐射污染状况研究

介绍了GSM移动通信基站系统,指出,在进行GSM移动通信基站环境影响分析时,要注意采样点位的设置和测量要求.现场监测结果表明,GSM移动通信基站对环境电磁辐射水平有一定的影响,特别是对50 m内建筑物影响显著,但绝大多数基站基本符合国家有关电磁辐射环境影响标准的要求,在设备正常运行情况下,不会对周围环境造成电磁辐射污染.     

江苏省2011年环境γ辐射剂量率测量比对

为了保证辐射监测数据的准确,江苏省辐射环境监测管理站组织了2011年全省环境γ辐射剂量率测量比对。结果表明,22台仪器测量结果满意,1台仪器测量数据可疑,所有仪器均未出现不满意或离群结果。测量比对有效地发现了测量存在的问题,保证监测工作结果的准确性。     

环境监测实验室信息管理系统建设——以上海市环境监测中心为例

简述了实验室信息管理系统(LIMS)的概念和建设LIMS的现实意义,着重介绍了上海市环境监测中心实施LIMS的过程和体会,分析了环境监测实验室在LIMS选型和实施过程中需要注意的问题及LIMS对现行工作的影响,并对需进一步完善的功能提出了建议.     

新版《环境空气质量标准》热点污染物PM2.5监控策略的思考与建议

随着工业化和城市化进程的加速,大气气溶胶污染日趋严重,由气溶胶细粒子PM2.5污染造成的能见度恶化事件越来越多,中国东部地区灰霾天气迅速增加.灰霾天气的本质是细粒子气溶胶污染,与光化学污染相关联,形成灰霾天气的气溶胶组成非常复杂.近年来由于灰霾天气日趋严重引发的环境效应问题,以及气溶胶辐射强迫引发的气候效应问题,已引起科学界、政府部门和社会公众的广泛关注,成为热门话题.在此背景下,国家出台了新版《环境空气质量标准》(GB 3095-2012),增设PM2.5浓度限值,对环境监测、环境管理和环境评价提出了新的要求.通过分析中国大气污染背景、国际组织和其他国家的PM2.5标准,及近期热点问题,提出在环境监测、环境管理和环境评价过程中实施新标准,监控PM2.5的策略.     

Predicting Water Quality Impaired Stream Segments using Landscape-Scale Data and a Regional Geostatistical Model: A Case Study in Maryland

In the United States, probability-based water quality surveys are typically used to meet the requirements of Section 305(b) of the Clean Water Act. The survey design allows an inference to be generated concerning regional stream condition, but it cannot be used to identify water quality impaired stream segments. Therefore, a rapid and cost-efficient method is needed to locate potentially impaired stream segments throughout large areas. We fit a set of geostatistical models to 312 samples of dissolved organic carbon (DOC) collected in 1996 for the Maryland Biological Stream Survey using coarse-scale watershed characteristics. The models were developed using two distance measures, straight-line distance (SLD) and weighted asymmetric hydrologic distance (WAHD). We used the Corrected Spatial Akaike Information Criterion and the mean square prediction error to compare models. The SLD models predicted more variability in DOC than models based on WAHD for every autocovariance model except the spherical model. The SLD model based on the Mariah autocovariance model showed the best fit (r² = 0.72). DOC demonstrated a positive relationship with the watershed attributes percent water, percent wetlands, and mean minimum temperature, but was negatively correlated to percent felsic rock type. We used universal kriging to generate predictions and prediction variances for 3083 stream segments throughout Maryland. The model predicted that 90.2% of stream kilometers had DOC values less than 5 mg/l, 6.7% were between 5 and 8 mg/l, and 3.1% of streams produced values greater than 8 mg/l. The geostatistical model generated more accurate DOC predictions than previous models, but did not fit the data equally well throughout the state. Consequently, it may be necessary to develop more than one geostatistical model to predict stream DOC throughout Maryland. Our methodology is an improvement over previous methods because additional field sampling is not necessary, inferences about regional stream condition can be made, and it can be used to locate potentially impaired stream segments. Further, the model results can be displayed visually, which allows results to be presented to a wide variety of audiences easily.     

车载环境γ能谱测量系统探测器设计及性能研究

车载环境γ能谱测量系统探测器是环境γ能谱测量技术领域研究热点.为提高探测效率,缩短测量时间,针对车载环境γ能谱测量系统设计了双Nal(T1)晶体探测器,并测试了探测器主要性能指标.研究表明,探测器能量分辨率为6.73％,计数稳定性优于4.2％,可识别238U、232Th、40K等核素,可清晰分辨152Eu各能量峰,温度...