Local Air Quality Impacts due to Downwash Around Thermal Power Plants: Numerical Simulations of the Effect of Building Orientation

One of the primary adverse environmental impacts associated with power generation facilities and in particular thermal power plants is local air quality. When these plants are operated at inland areas the dry type cooling towers used may significantly increase ambient concentrations of air pollutants due to the building downwash effect. When one or more buildings in the vicinity of a point source interrupt wind flow, an area of turbulence known as a building wake is created. Pollutants emitted from relatively low level sources can be caught in this turbulence affecting their dispersion. In spite of the fact that natural gas-fired combined-cycle power plants have lower air emission levels compared to other power plants using alternative fossil fuel, they can still create significant local air pollution problems. In this paper, local air quality impacts of a natural gas-fired combined-cycle power plant located in a coastal area are compared with those of another natural gas-fired combined-cycle power plant having identical air emissions but located in an inland area taking into account differences in topography and meteorology. Additionally, a series of scenarios for the inland site have been envisaged to illustrate the importance of plant lay-out configurations paying particular attention to the building downwash effect. Model results showed that different geometrical configurations of the stacks and cooling towers will cause remarkable differences in ambient air pollutant concentrations; thus it is concluded that when selecting a plant site, a detailed site-specific investigation should be conducted in order to achieve the least possible ambient air pollution concentrations with the given emissions.     

化工装置泄漏频率数据源比较研究

为降低泄漏频率对化工装置定量风险分析结果不确定性的影响,从覆盖设备设施类型、基准泄漏频率和频率计算模型等方面,比较分析中国、英国健康安全管理局、挪威船级社、国际油气生产商联合会(IOGP)发布的泄漏频率数据源,筛选出更适合计算化工装置泄漏频率的数据源;并以某化工装置2个泄漏单元为例,比较《危险化学品生产装置和储存设施外...     

污水处理厂除臭工艺选择及工程设计

随着无锡市城北污水处理厂二期工程的扩建,污水处理厂除臭问题日益突出.针对目前常用的化学、活性炭吸附、氧离子基团、燃烧、纯天然植物提取液喷洒和生物等6种除臭方法,重点说明了除臭工艺的选择及除臭系统的工程设计,最后结合运行情况总结了除臭系统的设计特点.     

火电厂烟气脱硝容量的合理性探讨

根据美国20世纪90年代初的电力生产及火电NOx的排放情况,并结合我国的实际情况及控制火电NOx排放的趋势,提出2010年和2020年我国火电NOx排放总量控制目标,预测满足火电NOx控制目标的合理的火电厂烟气脱硝容量.     

EDTA-enhanced phytoremediation of lead contaminated soil by Bidens maximowicziana

Phytoremediation is a potential cleanup technology for the removal of heavy metals from contaminated soils.Bidens maximowicziana is a new Pb hyperaccumulator,which not only has remarkable tolerance to Pb but also extraordinary accumulation capacity for Pb.The maximum Pb concentration was 1509.3 mg/kg in roots and 2164.7 mg/kg in overground tissues.The Pb distribution order in the B. maximowicziana was:leaf>stem>root.The effect of amendments on phytoremediation was also studied.The mobility of soil Pb and the Pb concentrations in plants were both increased by EDTA application.Compared with CK(control check),EDTA application promoted translocation of Pb to overground parts of the plant.The Pb concentrations in overground parts of plants was increased from 24.23-680.56 mg/kg to 29.07-1905.57 mg/kg.This research demonstrated that B.maximowicziana appeared to be suitable for phytoremediation of Pb contaminated soil,especially,combination with EDTA.     

Seasonal Distribution of Chemical Elements in Alisma plantago-aquaticaL. and Sagittaria sagittifoliaL.

Russian Journal of Ecology -     

~(31)P-NMR分析湖泊植物和藻类有机磷方法优化及形态研究

应用不同的提取剂和固液比提取湖泊水生植物和藻类中的藻类有机磷(P_0),并进一步采用液态核磁共振(~(31)P-NMR)技术分析其组成特征.结果表明:采用0.5mol/L NaOH+25mmol/LEDTA提取剂,并控制固液比为1:60可获得最优的P_0提取效果;~(31)P-NMR分析测试过程中,设置延迟时间(D1)为5s,扫描分析时间为15h(约扫描24000次)可获得较好的谱图.通过以上实验方法,分析水生植物和藻类中磷均由正磷酸盐、单酯磷、二酯磷及焦磷酸盐组成,其中P_0可分别占总磷(TP)的34-21%~53.36%和31.27%~72.96%.单酯磷是水生植物和藻类P_0的主要组分,其平均含量可占P_0的92%和83%;二酯磷含量均较少,占TP的0~6.65%;藻类体内焦磷酸盐含量可达水生植物的35倍.     

陕西省城镇污水处理厂进出水中主要离子与重点元素分布特征

污水处理厂出水中主要离子和重点元素的浓度特征及去除效果会影响受纳水体的盐度、碱度等指标,从而影响河湖的生态服务功能,但是这方面的研究长期以来未得到充分关注。在陕西省全境选择51家城镇污水处理厂,测定进水和出水中的钾、钙、钠、镁、氟、氯和硫酸根离子,以及铁、锰、硼、钼、锶等重点元素的浓度。测定结果显示:陕西省城镇污水处理厂进水和出水中的阳离子以钠离子为主,其次是钙、镁离子,钾离子浓度最低;阴离子中,氯离子浓度最大,其次为硫酸根离子。就总离子浓度而言,陕北和关中地区污水处理厂进水的离子浓度普遍高于陕南地区。相关性分析结果显示:在污水处理厂进水中,钠、氟、氯、镁及硫酸根离子相互之间均呈现显著正相关关系;铁、锰在进水中没有表现出明显的相关关系,而在出水中呈现显著的正相关关系。污水处理厂仅能够处理污水中少量的氟、钾和镁离子。铁元素和锰元素在经过污水处理厂的处理后,浓度有所升高。此研究的研究结果可为河湖水化学组成管理决策提供参考。     

Quantifying and mapping species threat abatement opportunities to support national target setting

The successful implementation of the Convention on Biological Diversity's post-2020 Global Biodiversity Framework will rely on effective translation of targets from global to national level and increased engagement across diverse sectors of society. Species conservation targets require policy support measures that can be applied to a diversity of taxonomic groups, that link action targets to outcome goals, and that can be applied to both global and national data sets to account for national context, which the species threat abatement and restoration (STAR) metric does. To test the flexibility of STAR, we applied the metric to vascular plants listed on national red lists of Brazil, Norway, and South Africa. The STAR metric uses data on species’ extinction risk, distributions, and threats, which we obtained from national red lists to quantify the contribution that threat abatement and habitat restoration activities could make to reducing species’ extinction risk. Across all 3 countries, the greatest opportunity for reducing plant species’ extinction risk was from abating threats from agricultural activities, which could reduce species’ extinction risk by 54% in Norway, 36% in South Africa, and 29% in Brazil. Species extinction risk could be reduced by a further 21% in South Africa by abating threats from invasive species and by 21% in Brazil by abating threats from urban expansion. Even with different approaches to red-listing among countries, the STAR metric yielded informative results that identified where the greatest conservation gains could be made for species through threat-abatement and restoration activities. Quantifiably linking local taxonomic coverage and data collection to global processes with STAR would allow national target setting to align with global targets and enable state and nonstate actors to measure and report on their potential contributions to species conservation.     

不同植物人工湿地净化效果及基质微生物状况差异分析

为研究不同植物对人工湿地污染物净化效果和基质微生物状况的影响,采用序批式运行的沙培模拟人工湿地,探讨了菖蒲、香蒲、千屈菜、芦苇和白鹤芋5种湿地植物在不同HRT(水力停留时间,分别为1,3和5 d)下对模拟废水中TP,NH₄+-N和COD_Cr去除效果的影响,比较了不同植物类型模拟人工湿地中基质微生物的数量差异. 结果表明,不同植物系统对污染物的去除随HRT延长逐渐提高,HRT为5 d时各植物系统对污染物的去除效果最佳.TP,NH₄+-N和COD_Cr的最高去除率分别达90.4%,61.7%和96.4%.相对于其他试验系统,菖蒲系统对各污染指标均具有最优的去除效果. 植物种类对基质微生物数量的影响无显著差异.研究还发现,各系统中亚硝酸细菌数量与NH₄+-N去除率之间呈显著相关.