依法行政,促进环境执法的完善

环境执法是将环境法规中抽象的权利义务变成环境法中具体的权利义务的过程.环境执法是中国环境法制建设的一个重要组成部分.相关国家环保行政职能部门在行使行政权力时,享有很大的自由裁量权,他们能否合法有效地行使好行政权力,直接关系到国家的环保事业和发展.针对当前中国环境执法的现状及环境依法行政的重要意义,以期为政府制定相关环境执法政策、措施提供科学的决策依据和建议,提出了几点环境依法执法的构思:建立系统的、严谨的环境执法理论,树立崭新的执法理念,运用崭新的执法方式,严格依据法定程序办事,健全依法行政责任制和监督机制,推行政务公开,创建公正有效的执法环境.     

上海市2006～2008年实施燃煤电厂烟气脱硫的综合经济分析

根据上海市新一轮“环境保护和建设三年行动计划”（2006-2008年）提出的未来3年全市将有11家电厂的35台共约650.8万kW燃煤发电机组实施烟气脱硫的目标，结合上海市实际，建立相关假定条件，并考虑SO2减排的作用及脱硫产物的利用等方面因素，从经济、环境等角度对上海市650.8万kw燃煤发电机组实施湿法烟气脱硫的成本、效益进行了综合分析。结果显示，燃煤电厂烟气脱硫的固定资产投资和运行费用均较大，而脱硫产生的直接经济效益相对较小，其效益更多地体现在无法直接以货币形式衡量的环境效益、社会效益上。     

“2+26”城市大气重污染下PM2.5来源解析

基于区域大气环境模拟系统RegAEMS开发了大气污染物来源解析模块APSA，以京津冀及周边"2+26"城市为研究对象，模拟2017年12月26日~2018年1月2日该地区一次PM_2.5重污染过程，对PM_2.5进行区域和行业来源解析.结果表明：本次污染持续时间长、影响范围广、污染程度重，"2+26"城市PM_2.5小时最大值为201~507μg/m³，RegAEMS可较好模拟出PM_2.5时空分布；区域来源解析表现为外围区域对"2+26"边界城市影响较大，贡献为15.3%~57.5%，"2+26"中部城市受外围区域影响较小，贡献为0.3%~8.4%，区域传输特征明显，受近地面风场影响较大；行业来源表现为区域内生活源、工业源贡献较大，分别为26.6%~45.8%、16.4%~37.8%，交通源占比13.0%~35.9%.本文研究表明RegAEMS可以实现重污染过程PM_2.5的数值模拟和来源解析，在大气污染精准管控方面具有较好应用前景.     

山东省东平湖浮游动物与富营养化防治

根据1994年对东平湖6个采样点枯水期，丰水期，平水期浮游动物的调查，共获轮虫，枝角类，桡足类和原生动物66属100种，查明其数量和分布以及季节变化状况，确定了指示轻污带，β-中污带和α－－中污带的15个种及其分布，根据浮游统计结果。结果：其它方法，肯定了东平湖为中营养型一富营养型湖泊，按照综合防治富营养化原则，作者提出放养鲢鳙及搭配比较，以减少湖中着生藻类和浮游动物，防治富营养化，发展水产养殖业和旅游业，实现了可持续发展。     

浅谈水面溢油污染防治技术及其应用

指出水面溢油污染的产生及危害，并提出溢油污染的防治技术和应用。     

水中杀菌剂叶青双及其降解物的反相液相色谱测定

本文用反相液相色谱法测定水中叶青双及其降解物2-氨基5-巯基-1,3,4-噻二唑。平均回收率分别为91％和94％;对水样的最低检测浓度分别为2ppb和0.8ppb;叶青双与2-氨基-5-巯基-1,3,4-噻二唑的分离度为2.5。本法在柱效和灵敏度上比硅胶柱液相色谱法有明显的提高。     

合肥城市生活垃圾量的关联分析与灰色预测研究

基于灰色系统理论,运用灰色关联度分析法定量分析了影响合肥城市生活垃圾产量的主要相关因素;建立了合肥城市生活垃圾年产量的预测GM(1,1)模型,并对合肥市未来五年的生活垃圾产量进行了预测.预测结果显示,"十一五"期间合肥城市生活垃圾产量的年平均增长率将8.9%左右,而到2010年合肥生活垃圾产量更是将达到81.2万吨.研究表明,所建立的模型精度较高,预测值的验证性良好,运用灰色关联度分析和模型预测方法在城市生活垃圾研究中可以发挥良好的作用.     

Atmospheric Aerosols over a Southwestern Region of Texas

Speciated samples of PM_2.5 were collected at the Big Bend site from July of 2003 to June 2006 and the McDonald Observatory site from July of 2003 to August of 2005 in southwestern Texas, respectively, by the US Environmental Protection Agency. A total of 175 samples for the Big Bend site and 105 samples for the McDonald Observatory site with 52 species were measured; however, 30 and 32 species from the Big Bend and McDonald Observatory sites, respectively, were excluded because of too much below-detection-limit data. Due to the laboratory change about November 1 of 2004 and possible analytical artifacts, phosphorous was excluded as well. Among the species excluded, 31 species are common to both sites. The two data sets were analyzed by positive matrix factorization to infer the sources of PM observed at the two sites. The analysis resolved five source-related factors for Big Bend and four for McDonald Observatory. Sulfate-rich secondary aerosol, coal burning, motor vehicle/road dust, and a mixed factor were identified as common sources to both sites. The other factor identified for Big Bend is related to soil. Sulfate mainly exists as ammonium salts. The sulfate-rich secondary aerosols account for about 62% and 66% of the PM_2.5 mass concentration at the two sites, respectively. The highest concentration of Si associated with Ca, Fe, \textSO₄^{2 -} {\text{SO}}_4^{2 - } , and organic carbon at the two sites was possibly attributed to the coal-fired power plants in the region. Basically, the factor of sulfate and coal burning at the two sites showed similar chemical composition profiles and seasonal variation that reflect the regional characteristics of these sources. The regional factors of sulfate, coal burning, and soil showed predominantly low-frequency variations; however, the area-related and/or local factors showed both high and low frequency variations. The motor vehicle/road dust and the mixed factors were likely to be area-related and/or local source.