Comparison of the effects of variable site temperatures and constant incubation temperatures on the biodegradation of petroleum hydrocarbons in pilot-scale experiments with field-aged contaminated soils from a cold regions site

Temporal atmospheric temperature changes during summers at sub-Arctic sites often cause periodic fluctuations in shallow landfarm and surface soil temperatures. However, little information is available on the effect of site-relevant variations on biodegradation performance in cold climates. This study compares the rate and extents of biodegradation of petroleum hydrocarbons at variable site temperatures (1-10 °C) representative of summers at a sub-Arctic site reported previously with those obtained under a constant average temperature of 6 °C. The biodegradation was evaluated in pilot-scale landfarming experiments with field-aged petroleum-contaminated soils shipped from Resolution Island (61°30′N, 65°00′W), Nunavut, Canada. Under the variable site temperature conditions biodegradation rate constants of semi- (F2) and non-volatile (F3) hydrocarbon fractions were enhanced by over a factor of two during the 60-d experiment, compared to the constant temperature mode. The decrease in total petroleum hydrocarbons (TPH) under the variable site temperature mode was 55% compared to only 19% under the constant average temperature mode. The enhanced biodegradation is attributable to the non-linear acceleration of microbial activity between 4.7 and 10 °C and faster growth of indigenous hydrocarbon-degrading microbial populations. The first-order biodegradation rate constants of 0.018, 0.024 and 0.016 d⁻¹ for TPH, F2 and F3 fractions at the variable site temperature were in agreement with those determined by an on-site experiment at the same site.     

Assessing the diurnal variability of pharmaceutical and personal care products in a full-scale activated sludge plant

An intensive sampling campaign has been carried out in a municipal wastewater treatment plant (WWTP) to assess the dynamics of the influent pharmaceutical active compounds (PhAC) and musks. The mass loadings of these compounds in wastewater influents displayed contrasting diurnal variations depending on the compound. The musks and some groups of PhACs tended to follow a similar diurnal trend as compared to macropollutants, while the majority of PhACs followed either the opposite trend or no repeatable trend. The total musk loading to the WWTP was 0.74 ± 0.25 g d⁻¹, whereas the total PhAC mass loading was 84.7 ± 63.8 g d⁻¹. Unlike the PhACs, the musks displayed a high repeatability from one sampling day to the next. The range of PhAC loadings in the influent to WWTPs can vary several orders of magnitude from one day or week to the next, representing a challenge in obtaining data for steady-state modelling purposes.     

南京地区7Be沉降特征

7Be是研究大气科学与地球化学的核元素之一,对研究短期过程的地表土壤颗粒迁移具有较大价值。为了解南京地区利用7Be进行土壤侵蚀示踪研究的合适时机,于2010年1月~2011年12月收集南京地区各月的7Be沉降样品,经实验室化学实验处理和γ谱仪测量,计算7Be沉降通量,并分析7Be大气沉降的季节性变化趋势。结果表明：南京地区平均7Be沉降量为1 62178 Bq/（m2·a）,沉降通量为066～1449 Bq/（m2·d）,平均沉降通量为444 Bq/（m2·d）;7Be沉降通量的季节变化呈现双峰型趋势,冬末春初和夏季是两个高值区;7Be沉降的а值冬春季较大,夏季最低;降雨量大小与沉降量存在明显的正相关     

基于SPEI的西南农业区气象干旱时空演变特征

干旱已成为西南农业区的具有一定破坏力的自然灾害,研究干旱的时空变化对该区干旱的评估、预测具有重要的现实意义。根据西南农业区1962~2012年月气象资料,利用Penman-Monteith公式计算蒸散发和标准化降水蒸散指数(SPEI)值;采用线性回归、Mann-Kendall方法、小波分析和旋转经验正交函数(REOF)等方法分析了西南农业区干旱时空变化。研究结果表明:(1)西南农业区整体呈干旱化趋势;2000年以来年、四季变干趋势更加明显;秋季变干趋势显著;年均SPEI指数不存在显著突变点;年和四季干湿变化均存在2~8 a左右的振荡周期。(2)根据REOF分解的前6个空间模态,将西南农业区划分成6个干湿特征区域:云南高原东部区、汉中盆地区、东部山地区、云南高原西部区、四川盆地区、贵州高原区;其中云南高原东部区变干趋势显著,汉中盆地区和东部山地区有变湿润趋势,但并不明显;6个分区干湿变化普遍存在2~6 a左右的振荡周期。研究结果可为西南农业区防旱、抗旱提供科学参考。     

Presentation and analysis of a model simulating epilimnetic and hypolimnetic temperatures in lakes

An important factor in aquatic modelling is water temperature. This is especially true for dimictic lakes where stratification and mixing influence many processes and variables, such as oxygen conditions, lake water retention time, etc. This paper evaluates and improves an existing method to predict water temperatures developed by Håkanson ,1996 (Ecol. Model., 88:157–181). The method is incorporated in a model simulating water temperatures in epilimnion and hypolimnion. The model is calibrated and validated against an extensive set of empirical data. It is driven by readily available parameters, e.g. latitude, continentality and altitude. The predictive power, especially for the epilimnetic temperature, is such that the model could be used as a sub-model in many models concerning lake ecosystems. However, the model has only been tested for Swedish lakes covering a relatively narrow range in terms of latitude, longitude and altitude and it would be interesting to investigate if this approach also holds for other parts of the world. As an example of how the model can be used in practise, a simulation of retention of caesium in lake water, using the temperature model as a sub-model, is presented.     

Revealing source signatures in ambient BTEX concentrations

Management of ambient concentrations of Volatile Organic Compounds (VOCs) is essential for maintaining low ozone levels in urban areas where its formation is under a VOC-limited regime. The significant decrease in traffic-induced VOC emissions in many developed countries resulted in relatively comparable shares of traffic and non-traffic VOC emissions in urban airsheds. A key step for urban air quality management is allocating ambient VOC concentrations to their pertinent sources. This study presents an approach that can aid in identifying sources that contribute to observed BTEX concentrations in areas characterized by low BTEX concentrations, where traditional source apportionment techniques are not useful. Analysis of seasonal and diurnal variations of ambient BTEX concentrations from two monitoring stations located in distinct areas reveal the possibility to identify source categories. Specifically, the varying oxidation rates of airborne BTEX compounds are used to allocate contributions of traffic emissions and evaporative sources to observed BTEX concentrations.     

安徽庐江县砖桥潜在富硒土壤重金属元素空间变异与来源

为查明安徽省庐江县砖桥村周边潜在富硒区土壤中重金属及Se元素的空间分布特点及来源,采集该区域范围内430个表层（0~20 cm）土壤样品,测定土壤中w（OM）、w（TN）、w（TP）、w（K₂O）、w（TS）、w（TFe₂O₃）、w（As）、w（Cd）、w（Cr）、w（Cu）、w（Hg）、w（Pb）、w（Ni）、w（Se）和w（Zn）,并运用GIS、地统计学和主成分分析等方法进行土壤重金属元素空间变异特性与来源分析.结果表明:研究区土壤中w（Cr）、w（Ni）均低于GB 15618-2018《土壤环境质量农用地土壤污染风险管控标准（试行）》中的土壤污染风险筛选值,只有1个采样点的w（As）、w（Hg）和极少数采样点的w（Cd）、w（Pb）、w（Zn）以及部分采样点的w（Cu）超过GB 15618-2018土壤污染风险筛选值,但农产品不存在Cu污染风险.土壤重金属和Se的质量分数的变异系数为0.23~0.80,属中等程度变异.土壤中w（Cr）与w（Ni）,w（As）与w（Se）,w（Cu）与w（Pb）、w（Zn）、w（Hg）、w（Cd）的空间分布特征相似,w（Zn）、w（Se）、w（Cu）、w（Cr）、w（Ni）的空间自相关性均较强,w（Pb）、w（As）、w（Hg）、w（Cd）的空间自相关性均处于中等水平,提取的5个主成分累计方差贡献率为71.677%.土壤中Se主要来源于富硒岩矿石,Cu、Zn主要来源于地质背景（矿脉发育）,Cr、Ni主要来源于成土母质,Pb、Cd、Hg主要受到地质背景和农业活动的共同影响,As受到富硒岩矿石和农业活动的共同影响.研究显示,综合土壤元素含量、变异强度、空间自相关及其提取的主成分,能有效识别成土母质、地质背景及农业活动等对农田土壤中重金属的影响;研究区内富硒岩矿石可持续为区域土壤提供Se源,土壤质量可满足地方发展特色富硒农业的要求.      

程海沉积物重金属时空变化及人为污染与潜在生态风险

沉积物重金属污染是影响湖泊等水体环境质量与健康的主要因素之一.通过对程海9个沉积短岩芯中10种金属元素含量的分析,在~(210)Pb与~(137)Cs定年的基础上,研究了沉积物中重金属含量与污染的时空变化特征;采用潜在生态风险指数法与沉积物质量基准法、并参考重金属污染水平,评估了表层沉积物重金属的潜在生态风险.结果表明,各岩芯不同年代沉积物中,除了Cd含量变化较大之外(变异系数为0.59),其余各金属元素含量变化均较小(变异系数小于0.20);空间上,各岩芯之间每一种金属的平均含量差异较小,最大值与最小值的比值为1.2~1.8,显示了不同湖区重金属较为相似的富集规律.沉积物中主要污染元素为Cd、Pb和Hg,其中Cd和Pb污染始于20世纪80年代中期;近十年来Cd污染程度稍有下降,但仍呈中等污染水平,而Pb污染程度持续增加,属于弱污染水平;Hg污染始于20世纪90年代末期,呈弱污染水平;而As、Cu和Zn仅在部分近表层沉积物呈现较弱污染.空间上,沉积物中重金属污染水平并未表现出明显的趋势.除了大气沉降(主要为有色金属冶炼释放)输入之外,程海沉积物重金属污染还可能受到农业面源与生活污水排放的影响.表层沉积物中As、Cu、Ni、Pb和Zn具有较低的潜在生态风险,Hg和Cd具有中-高潜在生态风险.     

石岩水库叶绿素a时空分布及其影响因子分析

2013年4月至2014年6月对典型调水供水型水库石岩水库蓝藻、绿藻和硅藻叶绿素a浓度[ρ(Chla)]及相环境因子进行监测,分析了ρ(Chla)时空分布特征,探讨了藻类与环境因子的相关关系.结果表明石岩水库ρ(TChla)为9.59~123.29μg·L~(-1),平均52.03μg·L~(-1),其中蓝藻ρ(Chla)为4.54~76.30μg·L~(-1),平均为28.39μg·L~(-1);硅藻ρ(Chla)为3.16~46.09μg·L~(-1),平均为15.02μg·L~(-1);绿藻ρ(Chla)为0.77~26.21μg·L~(-1),平均为8.62μg·L~(-1).2013年4~12月上旬以及2014年5~6月优势藻为蓝藻,其他时期硅藻占优势,绿藻全年处于较低水平.石岩水库ρ(Chla)空间异质性低,整体呈现由南向北逐渐降低的空间分布特征,汛期整个库区和高温无雨期南半库区存在蓝藻水华风险.径流污染是石岩水库藻类叶绿素a空间异质性的主要原因.相关分析和CCA分析显示:水温是3种藻类的首要影响因子,汛期径流量与蓝藻相关性极大.氮磷比与3种藻类负相关,磷是石岩水库藻类生长的限制性因子.蓝藻主要相关因子还包括TOC、TN、pH、透明度和硝酸盐氮,硅藻主要相关因子还包括硅酸盐、TOC、硝酸盐氮和COD,绿藻主要相关因子还包括TOC、COD、pH、透明度和硝酸盐氮.     

Chemical characterization of size-resolved aerosols in four seasons and hazy days in the megacity Beijing of China

Size-resolved aerosol samples were collected by MOUDI in four seasons in 2007 in Beijing. The PM10 and PM1.8mass concentrations were 166.0 ± 120.5 and 91.6 ± 69.7 μg/m~3, respectively,throughout the measurement, with seasonal variation: nearly two times higher in autumn than in summer and spring. Serious fine particle pollution occurred in winter with the PM1.8/PM10 ratio of 0.63, which was higher than other seasons. The size distribution of PM showed obvious seasonal and diurnal variation, with a smaller fine mode peak in spring and in the daytime. OM(organic matter = 1.6 × OC(organic carbon)) and SIA(secondary inorganic aerosol) were major components of fine particles, while OM, SIA and Ca_2+were major components in coarse particles. Moreover, secondary components, mainly SOA(secondary organic aerosol) and SIA,accounted for 46%–96% of each size bin in fine particles, which meant that secondary pollution existed all year. Sulfates and nitrates, primarily in the form of(NH_4)_2SO_4, NH_4NO_3, Ca SO_4, Na_2SO_4 and K_2SO_4, calculated by the model ISORROPIA II, were major components of the solid phase in fine particles. The PM concentration and size distribution were similar in the four seasons on non-haze days, while large differences occurred on haze days, which indicated seasonal variation of PM concentration and size distribution were dominated by haze days. The SIA concentrations and fractions of nearly all size bins were higher on haze days than on non-haze days, which was attributed to heterogeneous aqueous reactions on haze days in the four seasons.