江苏马尾松林下木本植物群落相似性和生物多样性的调查

根据作者的初步调查，在江苏南部丘陵酸雨的地区（宜兴，南京）清洁地区（句容茅山）马尾松林下木本植物的生物多样性指数分别是１．９９２６，１．７０４５，１．２９８７，宜兴和句容，南京和句容马尾松下层群落相似性素数在１０％左右，而南京和宜兴的群落相似性系数为２０％左右。     

垃圾填埋水溶性有机物组成、演化及络合重金属特征

采集不同填埋年限垃圾和渗滤液,提取制备水溶性有机物(DOM),采用紫外光谱、荧光光谱及1H-核磁共振,研究垃圾填埋DOM组成、演化及络合重金属特征.结果表明,填埋初期(5 a)DOM以脂肪族类物质为主,DOM中芳香族物质随填埋进行含量降低,苯环结构上的羰基、羧基和羟基等随填埋进行不断减少;填埋中后期(5 a)DOM以碳水化合物、有机胺等为主,随着填埋年限的延伸DOM中芳香性物质含量上升,苯环上羰基、羧基和羟基等官能团不断增加.填埋产生的渗滤液原液DOM中同时含有脂族类物质、碳水化合物、有机胺等,渗滤液经过厌氧-好氧和MBR处理后,碳水化合物和芳香族化合物含量相对增加,但小分子有机物和烷基链烃物质含量减少,脂肪链支链变短,分支增加.垃圾填埋DOM通过含氮和含氧官能团络合金属Zn从而影响其分布,而对其他金属的分布影响较小.     

北京APEC期间不同颗粒物源解析方法的结果比较

2014年10月8日~11月25日,在北京城市点位采用颗粒物多组分在线监测技术与单颗粒气溶胶质谱（SPAMS）两种方法测定颗粒物化学组分.基于颗粒物在线多组分监测技术得到的受体数据,采用ME2模型进行解析（OC-ME2）;基于SPAMS的观测数据,采用ART-2a和ME2两种方法进行来源解析.SPAMS-ART2a方法解析得到6种颗粒物污染源,而SPAMS-ME2和OC-ME2均确定了5种来源.每种方法都识别出了扬尘源、机动车尾气、燃煤源、工艺过程源和二次源.结果表明：3种方法的解析结果均显示机动车尾气（25.43%~28.84%）和二次源（22.55%~33.50%）是颗粒物的主要来源,其次是燃煤源（20.16%~21.21%）和工艺过程源（12.01%~15.17%）;不同方法解析出的同种源在对颗粒物（PM）的分担率与贡献时间变化上存在较大的差异,这可能与采样方法、化学分析方法和数据分析方法等有关.对APEC会议期间主要污染源类特征进行研究,3种方法解析结果中的首要污染源均是机动车尾气（29.17%~44.18%）,其贡献均高于非会议期间（23.59%~28.79%）,表明在此期间机动车尾气对颗粒物的产生具有重要影响.     

广州PM2.5化学组分特征及其与气象因子的关系

于2012年12月—2013年12月在广州城区(市站)和东部郊区(九龙)开展为期一年的PM2.5样品采集,并同步收集气象因子和气态污染物质量浓度等数据.结果表明,PM2.5中主要化学组分为有机质(OM)和硫酸盐(SO2-4),分别占市站和九龙PM2.5质量浓度的49.4%和15.2%及57.0%和17.3%.碳质气溶胶(OM和EC)贡献接近50%,二次无机气溶胶(SO2-4、NO-3和NH+4总和,SIA)贡献超过30%.由于以机动车尾气为代表的移动污染源在城市区域贡献较大,市站[NO-3]/[SO2-4]比值显著高于九龙.两个站点[NH+4]/[SO2-4]摩尔质量比均高于1.5,表明观测期间广州市干季大气处于富铵状态.市站和九龙站硫氧化率(SOR)和氮氧化率(NOR)的时空变化趋势与O3类似,表明大气光化学过程是影响广州市SOR和NOR的重要因素.相对湿度低于65%时,SOR和NOR均较高;温度对SOR和NOR的影响有显著的城郊差异.降雨对PM2.5及各化学组分浓度有显著去除作用.     

Chemical composition and seasonal variation of acid deposition in Guangzhou, South China: comparison with precipitation in other major Chinese cities

With the aim of understanding the origin of acid rains in South China, we analyzed rainwaters collected from Guangzhou, China, between March 2005 and February 2006. The pH of rainwater collected during the monitoring period varied from 4.22 to 5.87; acid rain represented about 94% of total precipitation during this period. The rainwater was characterized by high concentrations of SO₄²⁻, NO₃⁻, Ca²⁺, and NH₄⁺. SO₄²⁻ and NO₃⁻, the main precursors of acid rain, were related to the combustion of coal and fertilizer use/traffic emissions, respectively. Ca²⁺ and NH₄⁺ act as neutralizers of acid, accounting for the decoupling between high SO₄²⁻ concentrations and relatively high pH in the Guangzhou precipitation. The acid rain in Guangzhou is most pronounced during spring and summer. A comparison with acid precipitation in other Chinese cities reveals a decreasing neutralization capacity from north to south, probably related to the role and origin of alkaline bases in precipitation.     

利用大气超级站对乌鲁木齐市一次沙尘天气过程及组份的分析

本研究利用大气超级站对乌鲁木齐市4月9日至10日沙尘天气过程,粒径谱、离子和重金属组成及变化进行分析.研究结果表明激光雷达观测结果与环境空气质量监测基本一致;小粒径颗粒在沙尘和非沙尘时段含量最多,但在沙尘时段大粒径颗粒的增长幅度远大于小粒径;沙尘过程中的离子主要来源于土壤一次源;沙尘过程中地壳元素浓度及占比均显著升高,...     

Chemistry of fogs at Agra, India: Influence of soil particulates and atmospheric gases

Fog water samples were collected in the months of December and January during 1998–2000 at Agra, India. The samples were analyzed for pH, major anions (F⁻, Cl⁻, SO₄ ²⁻, NO₃ ⁻, HCOO⁻ and CH₃COO⁻), major cations (Ca²⁺, Mg²⁺, Na⁺ and K⁺) and NH₄ ⁺ using ion chromatography, ICP-AES and spectrophotometer methods, respectively. pH of fog water samples ranged between 7.0 and 7.6 with a volume weighted mean of 7.2, indicating its alkaline characteristic. NH₄ ⁺ contributed 40%, SO₄ ²⁻ and NO₃ ⁻ accounted for 28%, while Ca²⁺, Mg²⁺, Na⁺ and K⁺ accounted for 16% of the total ionic concentration. The ratios of Mg²⁺/Ca²⁺ and Na⁺/Ca²⁺ in fog water indicates that 50–75% of fog water samples correspond to the respective ratios in local soil. Significant correlation between Ca²⁺, Mg²⁺, Na⁺ and K⁺ suggests their soil origin. The order of neutralization, NH₄ ⁺ (1.4) > Ca²⁺ (0.28) > Mg²⁺ (0.12), indicates that NH₄ ⁺ is the major neutralizing species. Fog water and atmospheric alkalinity were also computed and were found to be 873 and 903 neqm⁻³, respectively. Both of these values are higher than values reported from temperate sites and thus indicate that at the present level of pollutants, there is no risk of acid fog problem. The study also shows that the alkaline nature of fog water is due to dissolution of ammonia gas and partly due to interaction of fog water with soil derived aerosols.     

A Typology of Collaboration Efforts in Environmental Management

Collaboration involves stakeholders and the public in a process of consensus building to address some of the most difficult environmental management problems facing society today. Collaborative groups vary widely, ranging from small watershed councils to regional ecosystem collaboratives to groups addressing large-scale policy issues. While these collaboratives all match the common principles of collaboration, a closer examination reveals many differences. Using institutional theories about levels of decision making provides a way of classifying collaboratives along a spectrum from action level to organizational level to policy level. This typology is applied to thirty-six collaboration case studies in Australia and the United States that were investigated over a series of years through interviews, observation, document analysis, and surveys. The application reveals different tendencies among the case types in terms of population, size, problem significance, institutional setting, and focus of activities. The typology also reveals functional differences in the types of stakeholders involved, the management arrangements for implementation, and the approaches to implementing change. This typology can help practitioners better understand the challenges and appropriate types of collaborations for different settings. It helps highlight differences in the role of government and decentralization of power. It distinguishes the different theoretical foundations for different types of collaboratives. Finally, it elucidates the different evaluation approaches for different types of collaboratives.     

Politics of Co-Optation: Community Forest Management Versus Joint Forest Management in Orissa,India

The article considers the impact of introducing government co-management policy in the form of Joint Forest Management (JFM) in an area with a five-decade-old self-organized community forest management system in Orissa, India. We ask a question that appears not to have been previously examined: What happens when JFM replaces an already existing community forest management arrangement? Our comparison of the JFM arrangement with the self-organized community forest management regime (pre- and post-2002 in a selected village) provides three conclusions: (1) The level of villager participation in forest management has declined, along with the erosion of the bundle of common rights held by them; (2) multiple institutional linkages between the village and outside agencies, and reciprocal relations with neighboring villages have been abandoned in favor of a close relationship with the Forestry Department; and (3) the administration of the forestry resource has become politicized. We conclude that the “one-size-fits-all” approach of the JFM, with its pre-packaged objectives and its narrow scope of forest management, is likely to limit experimentation, learning, and institutional innovation that characterizes community forest management.     

PM2.5 and PM10 Concentrations from the Qalabotjha Low-Smoke Fuels Macro-Scale Experiment in South Africa

This article presents results from the particulate monitoringcampaign conducted at Qalabotjha in South Africa during the winter of 1997. Combustion of D-grade domestic coal and low-smoke fuels were compared in a residential neighborhood to evaluate the extent of air quality improvement by switchinghousehold cooking and heating fuels.Comparisons are drawn between the gravimetric results from the two types of filter substrates (Teflon-membrane and quartz-fiber) as well as between the integrated and continuous samplers. It is demonstrated that the quartz-fiber filters reported 5 to 10% greater particulate mass than the Teflon-membrane filters, mainly due to the adsorption of organic gases onto the quartz-fiber filters. Due to heating of sampling stream to 50 °C in the TEOM continuous sampler and the high volatile content of the samples, approximately 15% of the particulate mass was lost during sampling.The USEPA 24-hr PM_2.5 and PM₁₀ National Ambient Air Quality Standards (NAAQS) of 65 g m^-3 and 150 g m^-3, respectively, were exceeded on several occasions during the 30-day field campaign. Average PMconcentrations are highest when D-grade domestic coal was used, and lowest between day 11 and day 20 of the experiment when a majority of the low-smoke fuels were phased in. Source impacts from residential coal combustion are also found to be influenced by changes in meteorology, especially wind velocity.PM_2.5 and PM₁₀ mass, elements, water-soluble cations (sodium, potassium, and ammonium), anions (chloride, nitrate, and sulfate), as well as organic and elemental carbonwere measured on 15 selected days during the field campaign. PM_2.5 constituted more than 85% of PM₁₀ at three Qalabotjha residential sites, and more than 70% of PM₁₀ at the gradient site in the adjacent community of Villiers. Carbonaceous aerosol is by far the most abundant component, accounting for more than half of PM mass at the three Qalabotjha sites, and for more than a third of PM mass at the gradient site. Secondary aerosols such as sulfate, nitrate,and ammonium are also significant, constituting 8 to 12% of PM mass at the three Qalabotjha sites and 15 to 20% at the Villiers gradient site.