吴淞工业区大气降尘变化规律及趋势

吴淞工业区是重工业聚集区,烟(粉)尘的排放量非常大,造成该地区空气污染严重.为了解降尘的污染特征、变化规律及趋势,以近10 a监测数据为依据,运用方差分析等数理统计方法对工业区降尘量进行分析,检验不同季节降尘的差异并简要分析原因,使用秩相关系数法对其进行趋势分析.结果表明,工业区降尘量较混合区与清洁区明显不同; 工业区与混合区的降尘受本地源的影响较大,4季的降尘量没有明显差异,相反清洁区的4季降尘呈显著差异.10 a来工业区及其周边地区的降尘量下降了56%,说明环境综合整治取得了显著效果,使区域环境空气质量得到改善.     

Concentration of heavy metals in Karanja reservoir, Bidar district, Karnataka, India

In this study, some heavy metals concentrations (Zn, Pb, Fe, Mn, Cu, Ni) and other physico-chemical parameters were studied during October 2001 to September 2003 in Karanja reservoir, Bidar district. Water quality parameters were collected monthly basis whereas heavy metals were analyzed by Atomic Adsorption Spectrometer (AAS). Heavy metals have shown within the permissible limits, except Fe and Ni were recorded higher values in southwest monsoon, where as Mn has showed higher concentration in northeast monsoon in and summer. All other physico-chemical parameters are with in the permissible limit. Water is moderately hard and reservoir is productive.     

会计信息失真与公司治理结构

会计信息质量问题是我国资本市场健康发展的重要因素之一,但信息的不真实在上市公司中一直存在,其原因是多方面的.投资者需要真实相关的会计信息,而会计信息系统又处于公司治理结构的控制之中,因此,要保证会计信息的真实,必须优化和完善公司治理结构,从而达到提高会计信息质量,提高投资者信心,保持资本市场稳定繁荣的目的.     

A MANGANESE OXIDATION MODEL FOR RIVERS1

ABSTRACT: The presence of manganese in natural waters (>0.05 mg/L) degrades water-supply quality. A model was devised to predict the variation of manganese concentrations in river water released from an impoundment with the distance downstream. The model is one-dimensional and was calibrated using dissolved oxygen, biochemical oxygen demand, pH, manganese, and hydraulic data collected in the Duck River, Tennessee. The results indicated that the model can predict manganese levels under various conditions. The model was then applied to the Chattahoochee River, Georgia. Discrepancies between observed and predicted may be due to inadequate pH data, precipitation of sediment particles, unsteady flow conditions in the Chattahoochee River, inaccurate rate expressions for the low pH conditions, or their combinations.     

添加氮损失抑制剂对蓝藻泥堆肥质量的影响

对脱水蓝藻进行大型生产性堆肥实验。研究堆肥过程中,氮损失抑制剂过磷酸钙的添加对堆肥物料各类理化性质的影响。研究结果表明,过磷酸钙加入的处理组与未加过磷酸钙的对照组堆制37 d后堆肥物料均可腐熟,且堆肥肥效均符合NY525-2002的相关要求。添加过磷酸钙处理组有机质含量为490 g/kg,全N、全P和全K含量分别为20.75、10.02和11.32 g/kg,总养分含量达到9.77%,堆肥品质明显优于对照处理。同时,在微生物的作用下,对照组中微囊藻毒素MC-RR与微囊藻毒素MC-LR去除率分别达到89.8%与78.3%。值得一提的是,添加过磷酸钙后,MC-RR和MC-LR的去除率得到进一步提高,分别达到了92.96%和100%,较好地保证了蓝藻堆肥农用的安全性,为脱水蓝藻好氧堆肥化提供了可行性依据。     

Multi-step approach for comparing the local air pollution contributions of conventional and innovative MSW thermo-chemical treatments

In the sector of municipal solid waste management the debate on the performances of conventional and novel thermo-chemical technologies is still relevant. When a plant must be constructed, decision makers often select a technology prior to analyzing the local environmental impact of the available options, as this type of study is generally developed when the design of the plant has been carried out. Additionally, in the literature there is a lack of comparative analyses of the contributions to local air pollution from different technologies. The present study offers a multi-step approach, based on pollutant emission factors and atmospheric dilution coefficients, for a local comparative analysis. With this approach it is possible to check if some assumptions related to the advantages of the novel thermochemical technologies, in terms of local direct impact on air quality, can be applied to municipal solid waste treatment. The selected processes concern combustion, gasification and pyrolysis, alone or in combination. The pollutants considered are both carcinogenic and non-carcinogenic. A case study is presented concerning the location of a plant in an alpine region and its contribution to the local air pollution. Results show that differences among technologies are less than expected. Performances of each technology are discussed in details.     

毒死蜱生态毒理与风险研究综述

毒死蜱被认为是一种高效、安全和广谱的含氮杂环类杀虫杀螨剂,被广泛应用于农业生产病虫害的防治中。在中国,毒死蜱曾被列为取代高毒农药的重要品种,并被农业部推荐用于无公害农产品生产的专用杀虫杀螨剂。近年来,由于不断发现的毒死蜱生物毒性及其产生的环境安全问题,美国和欧盟国家已经在某些范围内禁用毒死蜱。综合近几年文献,从环境介质含量、转化行为、生物活性检测以及国外水质基准等方面,对其分别叙述,旨在为今后中国地区毒死蜱的环境健康风险评价、生态风险评价和水质基准制定提供基本参考依据。     

乌鲁木齐市硫酸盐化速率关键影响因子分析

对硫酸盐化速率与大气中污染物质浓度和气象因素的分析结果表明,硫酸盐化速率不仅取决于SO2的浓度,还与PM10显著相关,是因为PM10表面为SO2的催化氧化提供了载体。气压和空气相对湿度对硫酸盐化速率有积极的促进作用,空气中的气态H2O具有凝结污染物质的能力,而降水对污染物质的冲刷效应降低了硫酸盐化速率。影响硫酸盐化速率的是空气中气态H2O而非降水。气温通过影响逆温层和风速共同影响着污染物浓度的扩散和稀释,从而决定着硫酸盐化速率的增减。     

基于BP人工神经网络的城市PM2.5浓度空间预测

针对PM2.5日均质量浓度,采用BP人工神经网络模型,预测研究区空气中PM2.5浓度的空间变异,通过与普通克里格(Ordinary Kriging)插值方法对比验证BP人工神经网络预测模型的精度.结果表明:BP人工神经网络预测模型下研究区检验样本点位置的PM2.5仿真浓度与观测浓度之间的均方差、平均绝对误差、平均相对偏差和相关系数分别为0.296 μg2/m6、0.412 μg/m3、1.650％和0.851;而与此同时,普通克里格插值方法下的对应结果分别为1.041 μg2/m6、0.689 μg/m3、11.910％、0.638.研究成果在肯定BP人工神经网络预测模型可用于揭示PM2.5浓度空间变异特征的同时,也证实了其相对于普通克里格插值方法在固定空间点位准确预测PM2.5浓度方面的优势.     

Calculating losses of crops in Denmark caused by high ozone levels

In order to help guide air pollution legislation at the European level, harmful air pollution effects on agriculture crops and the consequent economic implications for policy have been studied for more than a decade. Ozone has been labeled as the most serious of the damaging air pollutants to agriculture, where growth rates and consequently yields are dramatically reduced. Quantifying the effects has formed a key factor in policymaking. Based on the widely held view that AOT40 (Accumulated exposure Over Threshold of 40 ppb) is a good indicator of ozone-induced damage, the Danish Eulerian Model (DEM) was used to compute reduced agriculture yields on a 50 km×50 km grid over Europe. In one set of scenarios, a ten year meteorological time series was combined with realistic emission inventories. In another, various idealized emission reduction scenarios are applied to the same meteorological time series. The results show substantial inter-annual variability in economic losses, due in most part to meteorological conditions which varied much more substantially than the emissions during the same period. It is further shown that, taking all uncertainties into account, estimates of ozone-induced economic losses require that a long meteorological record is included in the analysis, for statistical significance to be improved to acceptable levels for use in policy analysis. In this study, calculations were made for Europe as a whole, though this paper presents results relevant for Denmark.