皖南地区铜陵市大气颗粒物污染特征及潜在源研究

利用2018年3月—2021年2月环境和气象数据对皖南地区铜陵市大气颗粒物的污染特征和潜在贡献源进行了系统性研究.铜陵市大气颗粒物污染具有明显的季节变化特征,冬季污染物浓度最高,PM_2.5和PM₁₀平均为（60.3±31.0）μg·m^-3和（89.2±42.2）μg·m^-3.计算发现PM_2.5/PM₁₀超过0.5,铜陵市的大气颗粒物污染问题与细颗粒物关系密切.后向轨迹聚类分析表明铜陵市大气颗粒物的输送路径具有季节性差异.春季以西北、东北和西南方向气流为主,占比83.73%;夏季以东南和南部方向气流为主,占比82.90%;秋季以东北气流为主,占比51.00%;冬季则是以北方和西北气流为主,占比69.81%.其中,冬季气流轨迹所对应的PM_2.5和PM₁₀的浓度最高,平均为59.7和92.0μg·m^-3;夏季最低,平均为23.8和43.8μg·m^-3.潜在源贡献因子（WPSC...     

深圳市不同区域大气CO2变化特征与来源分析

于2020年12月1日~2021年12月1日分别在深圳市大学城和路边站两点位对大气CO₂和CO浓度进行了为期1a的观测.本次观测期间内两点位大气CO₂平均浓度分别为432×10^-6和439×10^-6,均呈现了“秋冬季高、春夏季低”的季节变化特征与“昼低夜高”日变化特征,且日变化特征在早晚高峰期受到交通源排放的显著影响.此外,通过引入CO₂和CO的净变化值得到大学城和路边站两点位的ΔCO₂/ΔCO值分别为136.8~184.8、59.0~119.3,结果表明机动车排放对深圳市大气CO₂贡献突出.     

排放和气象对疫情前后武汉不同类型点位大气污染物的影响

采用随机森林算法剥离了排放和气象对6种大气污染物(SO₂、 NO₂、 CO、 PM₁₀、 PM_2.5和O₃)浓度的贡献,识别了疫情前后武汉市中心城区、郊区、工业区、三环线交通点和城市背景点这5种类型点位的大气污染物浓度变化.结果表明,与管控前相比,管控期间PM_2.5/CO、 PM₁₀/CO和NO₂/CO分别减小了10.8～21.7、 9.34～24.7和14.4～22.1倍,表明排放对PM_2.5、 PM₁₀和NO₂贡献减小;O₃/CO增加了50.1～61.5倍,表明二次生成增加明显.解除管控后排放对各类污染物的贡献均增加.管控期间,受一些不可间断工序的运行影响,工业区PM_2.5降幅最小(20.5%).与管控期间相比,解除管控后居民生活、交通出行和工业生产等基本恢复,使5种类型站点PM_2.5     

Analysis of Wet Precipitation of Air Pollutants in Mumbai (India)

Bulk precipitation samples at Mumbai (India) were collectedduring the monsoon seasons of 1991 to 1996 and analysed forionic concentrations using an Ion Chromatograph DIONEX model100. The variability of sulphate to nitrate ratio in rainwaterfluctuates in a wide range from 1.5 to 20 and governed by thesulphate concentrations in the sample. The regression analysisof the data reveals that in the bulk precipitation at Mumbai, SO₄ ^2- is becoming increasingly important relative toNO₃ ^-. The role of meteorological influences onscavenging of air pollutants by rain water has been tried toexplain the phenomena. The computed wet deposition rates for Sand N during 1991–1996 show that the S deposition is higherthan N in all the years. There is a wide fluctuation indeposition rates of S ranging from 2 to 55 kg km² per annum.     

Female grouping best predicts lekking in blackbuck (Antilope cervicapra)

The study of intraspecific variation can provide insights into the evolution and maintenance of behavior. To evaluate the relative importance of ecological, demographic and social conditions thought to favor lekking, I studied variation in mating behavior among and within populations of the blackbuck, Antilope cervicapra, an Indian antelope. Rather than viewing lekking as a discrete mating strategy, I took a continuous approach and treated lekking as a question of the clustering of mating territories, with leks representing one extreme in a range of territory distributions. I surveyed nine blackbuck populations, which differed in population density and in habitat conditions. For each population, I described the mating system in terms of the clustering of mating territories, and measured various factors suggested to favor lekking. I found that large-scale, among-population variation in territory clustering was most strongly related to female group size. Territory clustering was not related to population density. Female group size, in turn, was best explained by habitat structure. Interestingly, these among-population patterns were repeated at a finer spatial scale within one intensively studied population. These findings suggest that territorial males respond to local patterns in female distribution (represented by group size) when making decisions regarding territory location. Finally, although female distribution may explain territory clustering at the population level and more locally within a population, other selective factors (e.g., female preference, male competition, male harassment) are likely to shape the clustering and size of territories at even finer scales.Electronic Supplementary Material Supplementary material is available in the online version of this article at .Communicated by T. Czeschlik     

Water quality evaluation based on improved fuzzy matter-element method

For natural water, method of water quality evaluation based on improved fuzzy matter-element evaluation method is presented. Two important parts are improved, the weights determining and fuzzy membership functions. The coefficient of variation of each indicator is used to determine the weight instead of traditional calculating superscales method. On the other hand, fuzzy matter-elements are constructed, and normal membership degrees are used instead of traditional trapezoidal ones. The composite fuzzy matter-elements with associated coefficient are constructed through associated transformation. The levels of natural water quality are determined according to the principle of maximum correlation. The improved fuzzy matter-element evaluation method is applied to evaluate water quality of the Luokou mainstream estuary at the first ten weeks in 2011 with the coefficient of variation method determining the weights. Water quality of Luokou mainstream estuary is dropping from level I to level II. The results of the improved evaluation method are basically the same as the official water quality. The variation coefficient method can reduce the workload, and overcome the adverse effects from abnormal values, compared with the traditional calculating superscales method. The results of improved fuzzy matter-element evaluation method are more credible than the ones of the traditional evaluation method. The improved evaluation method can use information of monitoring data more scientifically and comprehensively, and broaden a new evaluation method for water quality assessment.     

上海市大气总汞季节变化特征及与气象条件的关系

2008年到2010年对上海市西南部大气中总汞(TGM———Total Gaseous Mercury)的污染水平进行监测,结果表明TGM日均浓度为ND~57.23ng/m(3(7.79±3.29)ng/m)3。TGM呈现出一定的季节性变化特征,浓度最高的是秋季,然后依次是冬季、春季、夏季,平均浓度分别为(9.30±2.48)、(8.32±2.79)、(7.78±2.33)、(2.16±3.29)ng/m3。TGM浓度受东南风向影响最大,其次为西北和东北风向。在置信水平为95%的情况下,TGM浓度与日平均温度呈正相关性,而与日温差、相对湿度、日相对湿度差、风速无显著相关性。但TGM浓度分别与日均O3浓度和NO2浓度均呈显著正相关。利用HYSPLIT_4模型对TGM浓度高值与低值几天的空气气团来源轨迹进行反演,结果发现高低浓度日的气团来源略有差别,总体上看,冬季、春季和秋季受北方气团影响较大,夏季则受我国东部海域影响,具体的局部和长距离输送的贡献需要进一步研究。     

污水处理厂不同工艺的污泥脱水效能分析及其影响因素研究

污泥脱水是污泥减量的主要手段,直接影响到后续污泥处理处置.本研究以北京某大型污水处理厂A2/O工艺和A2/O-MBR工艺污泥脱水为对象,基于2013年全年的运行数据,分析不同工艺的污泥脱水效果、絮凝剂投配率、污泥脱水电耗和污泥脱水成本,并通过冗余分析(RDA)研究了不同污水处理工艺污泥脱水性能的影响因素.结果表明,污泥脱水性能和絮凝剂投配率均呈现季节性变化特征,冬季污泥较难脱水,絮凝剂消耗大.A2/O-MBR工艺的脱水污泥含水率年均值为(81.92±1.64)%,A2/O工艺为(82.56±1.35)%,污泥脱水絮凝剂消耗(以DS计,下同)分别为(8.70±7.25)kg·t-1和(7.42±2.96)kg·t-1,电耗(以DS计,下同)分别为331.82 k W·h·t-1和121.57 k W·h·t-1.A2/O-MBR工艺的污泥脱水絮凝剂成本(以DS计,下同)为204.76元·t-1,用电成本为231.61元·t-1;A2/O工艺的污泥脱水絮凝剂成本为175.00元·t-1,用电成本为84.86元·t-1.RDA分析表明,水温等季节性因素引起污泥有机质变化是影响污泥脱水性能的关键因素之一,此外,污泥龄也与污泥脱水性能有一定相关性.     

三峡库区回水区营养盐和叶绿素a的时空变化及其相互关系

为探讨三峡水库调度运行背景下,库区回水区营养盐和叶绿素a时空变化及其相互关系,于2013年5月~2014年5月在三峡库区北岸最大、也是库区水华频发的支流——澎溪河的回水区高阳平湖进行了定点和高频监测.结果表明水体热分层是高阳平湖水华发生的诱导因素.高阳平湖水体热分层发生于春季(3月初),消亡于夏末(9月中旬),冬季没有分层.2014年春季,随着水体分层的发生和发展,表层叶绿素a在69 d内从14.92μg·L-1骤增至183.73μg·L-1,并暴发水华,之后叶绿素a随着混合层深度增加而下降.水体没有分层时,表、中和底层营养盐浓度相近;水体分层之后,各层磷浓度有了明显差异,表层和底层总磷浓度相差(0.18±0.04)mg·L-1.高水位期(9月至次年4月),高阳平湖硝氮和溶解性磷高于低水位期(5~8月)的含量,分别占总氮、总磷浓度的71.4%~95.4%和42.7%~94.4%,是总氮和总磷的主要组成部分,干流倒灌输入的硝氮和溶解性磷是其主要来源.     

常州夏冬季PM2.5中无机组分昼夜变化特征与来源解析

为探讨常州大气气溶胶中无机组分的昼夜变化特征,在夏冬两季分别连续采集1个月的PM2.5样品,对比分析了11种水溶性离子和13种重金属元素的昼夜特征和来源.结果表明,夏冬两季PM2.5平均质量浓度白天高于夜间,水溶性离子占比夜间稍高于白天.冬季水溶性离子占PM2.5的比例(44%~45%)高于夏季(31%~36%),而重金属元素呈现相反的季节性特征(冬季白天3.03%,夜间2.29%;夏季白天4.40%,夜间4.51%).SO_4~(2-)、NO_3~-、NH_4~+是主要的二次离子,占总水溶性离子77%~85%,说明常州市大气污染呈二次污染为主的复合污染特征.夏季强太阳辐射的光化学反应导致白天SO_4~(2-)占比(49.0%)稍高于夜间(41.1%),而白天高温NH_4NO_3分解,使NO_3~-浓度白天(1.98μg·m-3)远低于夜间(5.10μg·m-3).NH_4~+与SO_4~(2-)、NO_3~-之间好的线性相关性及预测NH_4~+与实测NH_4~+的比值接近1,表明NH_4~+主要以(NH4)2SO4,NH_4NO_3和NH4Cl形态存在.离子平衡表明夏季颗粒物呈弱碱性,冬季呈中性.Fe、Al和Zn这3种重金属元素占比最大,Fe和Al元素白天占比明显高于夜间,Zn正好相反.无机组分相关性及主成分分析表明,无机组分都来自二次生成、扬尘和交通等排放源,表现一定的季节性和昼夜变化特征.