亚运时段广州大气污染物来源数值模拟研究

利用嵌套网格空气质量预报模式系统(Nested Air Quality Prediction Model System,NAQPMS)研究2006年亚运时段广州的空气质量状况,同时结合污染源追踪方法,分析珠三角各城市的源排放对广州全市、广州二环以内市区、广州6个亚运加强观测站的污染物浓度贡献.结果表明,NAQPMS模式能较好地反映广州各污染物(NO2、SO2、PM10)浓度的变化;广州全市、广州市区、6个亚运加强观测站的污染物最主要来源于本地排放,而周边城市以东莞的贡献最大.3个源受体中,广州市区受本地排放的影响最显著,来自本地的NO2、SO2、PM10的月均贡献率分别为89.5%、75.4%、86.7%;东莞则对6个亚运加强观测站的影响最为突出,其NO2、SO2、PM10的月均贡献率达9.3%、23.8%、21.7%,而日最大贡献率高达19.3%、40.2%、48.7%.因此在大力削减广州本地污染排放的同时,对周边城市特别是东莞实施区域联防联控,将能有效改善亚运场馆附近的空气质量.     

环境监测数据结果评价

环境监测是为了获得准确的环境信息数据,以便为环境评价、环境管理和环境治理提供依据。监测数据是否具有代表性,必须通过数据分析才能确定。文章通过介绍对监测数据的精密性、准确性和合理性检验,论述了监测数据的代表性。     

中国环境监测总站内蒙古生态监测分站介绍

2009年12月25日,环保部复函批转了《中国环境监测总站转型发展纲要》,纲要提出,加强“天地一体化”的生态环境监测与评价技术研究,推动国家生态环境监测网络建设,在重要生态功能保护区和典型地区7—9个有条件的环境监测站加挂总站生态环境监测分站牌子,开展遥感与地面监测相结合的生态监测。2010年5月底长沙会议提出,将全面启动能力评价和筛选工作,力争在今明年选出一批挂牌。本文详细介绍了争取加挂总站生态监测分站的内蒙古生态监测分站情况。     

环境监测现场监测中的质量管理

本文简要介绍了保证环境监测结果质量需控制的现场监测质量要素,并提出了相应的措施和建议。     

基于神经网络的城市夜间环境监控与预测

因夜间天空亮度分布具有非线性变化特点,故引入神经网络算法,建立基于时间序列的夜天空亮度预测模型,夜天空亮度预测模型可为城市光污染防治提供评价依据.文章对神经网络的原理进行了论述,建立了基于时间序列预测模型.以测试数据为训练样本集,基于MATLAB(矩阵实验室,Matrix Laboratory的简称),采用改进的BP算法(误差反向传播算法)对网络进行学习训练,并对存在的误差进行了分析.基于时间序列BP神经网络的夜天空预测模型,当隐含层神经元数目为5,训练函数为L-M优化算法(trainlm)时,最大绝对误差可达到0.003 6 cd/m2,最大相对误差达到2.361 4%.结果表明,模型的运行结果与试验数据比较吻合,输出与目标矢量之间相关性也较好.     

High-resolution modeling and evaluation of ozone air quality of Osaka using MM5-CMAQ system

High-resolution modeling approach is increasingly being considered as a necessary step for improving the monitoring and predictions of regional air quality. This is especially true for highly urbanized region with complex terrain and land-use. This study uses Community Multiscale Air Quality (CMAQ) model coupled with MM5 mesoscale model for a comprehensive analysis to assess the suitability of such high-resolution modeling system in predicting ozone air quality in the complex terrains of Osaka, Japan. The 1-km and 3-km grid domains were nested inside a 9-km domain and the domain with 1-km grid covered the Osaka region. High-resolution Grid Point Value-Mesoscale Model (GPV-MSM) data were used after suitable validation. The simulated ozone concentrations were validated and evaluated using statistical metrics using performance criteria set for ozone. Daily maxima of ozone were found better simulated by the 1-km grid domain than the coarser 9-km and 3-km domains, with the maximum improvement in the mean absolute gross error about 3 ppbv. In addition, 1-km grid results fared better than other grids at most of the observation stations that showed noticeable di erences in gross error as well as correlation. These results amply justify the use of the integrated high-resolution MM5-CMAQ modeling system in the highly urbanized region, such as the Osaka region, which has complex terrain and land-use.     

High-resolution modeling and evaluation of ozone air quality of Osaka using an MM5-CMAQ system

High-resolution modeling approach is increasingly being considered as a necessary step for improving the monitoring and predictions of regional air quality.This is especially true for highly urbanized region with complex terrain and land-use.This study uses Community Multiscale Air Quality (CMAQ) model coupled with MM5 mesoscale model for a comprehensive analysis to assess the suitability of such high-resolution modeling system in predicting ozone air quality in the complex terrains of Osaka,Japan.The 1-km and 3-km grid domains were nested inside a 9-km domain and the domain with 1-km grid covered the Osaka region.High-resolution Grid Point Value-Mesoscale Model μgPV-MSM) data were used after suitable validation.The simulated ozone concentrations were validated and evaluated using statistical metrics using performance criteria set for ozone.Daily maxima of ozone were found better simulated by the 1-km grid domain than the coarser 9-km and 3-km domains,with the maximum improvement in the mean absolute gross error about 3 ppbv.In addition,1-km grid results fared better than other grids at most of the observation stations that showed noticeable differences in gross error as well as correlation.These results amply justify the use of the integrated high-resolution MM5-CMAQ modeling system in the highly urbanized region,such as the Osaka region,which has complex terrain and land-use.     

论市（县）级环境应急监测的管理

环境污染突发事件的发生,影响广、危害大,迫切需要发生地的环境监测部门迅速反应,进行快速监测,迅速报出监测结果,为污染物的控制提供科学依据。因此对环境应急监测的管理就显得非常重要,不仅要对技术人员进行培训,还要准备仪器设备;不仅要准备应急监测预案,还要准备查询、应用工具,包括查询应用软件,只有进行充分的环境应急监测管理,才能有效地进行环境应急监测响应,才能为污染物应急控制决策、为保护环境质量、保护人民的生命财产安全作出贡献。     

污染源在线监测系统（CEMS）的验收比对监测

随着节能减排的开展,各重点污染源企业,特别是SO2等标排放负荷较大的热电、钢铁等使用燃煤锅炉的企业,都按照环保局的要求安装了污染源在线监测系统CEMS。CEMS数据的可靠性、正确性、稳定性对于污染减排有着决定性作用,CEMS已成为一种最有效的定量和监控管理手段。本文介绍了CEMS系统的组成及功能,以及验收监测比对法规依据,并根据《固定污染源烟气排放连续监测技术规范》（HJ／T75—2007）（试行）和《固定污染源烟气排放连续监测系统技术要求及检测方法》（HJ／T75—2007）（试行）验收监测比对指标,简要说明了验收比对的方法并分析了在实际监测中遇到的问题,提出了需要注意的事项。     

浅谈提高环境影响评价中工程分析质量

提出如何在社会区域类环境影响评价中提高工程分析质量的措施,以齐齐哈尔市第一医院为例,在工艺流程或产污环节分析中,应重点突出与污染物排放有关的工序和污染物的产生量;现有工程的污染物计算应结合监测和生产状况综合分析;以"清洁生产审计"的观点进行"清洁生产分析";对提出的污染物治理措施应具有可操作性。