碱式硫酸铝溶液中SO42-的测定

建立了以铬黑T为指示剂,乙二胺四乙酸二钠反滴定过量BaCl₂的碱式硫酸铝溶液中SO₄^2-的测定方法。实验确定的操作条件为：待测试样稀释后ρ（SO_4^2-）为0.025 ~0.100 g/L,BaCl₂过量率为25%~100%,并且在加入BaCl₂前将试样煮沸,三乙醇胺加入量为0.10 L/L。该法回收率在98.90%~100.72%,相对标准偏差小于1%。测定方法准确,可靠,且操作简便、快速。     

我国北方典型城市大气中VOCs的组成及分布特征

从2008年4月到2009年1月,利用前级浓缩-气相色谱/质谱法,对天津市和沈阳市大气中的挥发性有机物及浓度变化进行了采样研究.共监测了108种VOCs,包括卤代烷烃39种、苯系物16种、烯烃12种、烷烃30种、醛酯11种,在天津市检测到挥发性有机污染物中,醛酯56.9%,卤代烷烃13.4%,烷烃13.1%,苯系物12.9%,烯烃2.5%,卤代烯烃1.1%.沈阳市醛酯49.3%,卤代烷烃17.8%,烷烃11.8%,苯系物10.3%,卤代烯烃7.8%,烯烃2.9%.2市VOCs的含量季节变化都是春秋季节大于冬夏季节,在不同季节不同点位的VOCs的总量的变化趋势几乎一致,并且分析了天津市和沈阳市苯系物和卤代烃的的主要组成成分以及主要来源,苯系物的主要成分包括苯、甲苯、乙苯、二甲苯,苯系物的主要来源是汽车尾气,卤代烷烃的主要成分是二氯甲烷和氯乙烯,主要来自于汽车尾气和石油化工.     

四川乡村点新粒子生成特征及其对云凝结核数浓度的贡献

为揭示成渝地区大气复合污染成因,选择乡村点资阳站的冬季,实测了颗粒物数浓度及其粒径谱分布、云凝结核(CCN),在二氧化硫、光解速率(JO1D)实测值基础上估算了新粒子生成的重要前体物气态硫酸的浓度.2012年12月5日到2013年1月5日观测期间,3~582nm颗粒物数浓度水平较高,平均值为(16072±9713)cm-3.颗粒物数谱分布呈现以积聚模态为主体的特征,占总颗粒物数浓度的46%,此比值高于我国北京、上海、广州等城市和珠江三角洲及长江三角洲的乡村点和背景点.在较高颗粒物凝结汇(CS)水平下[(4.3±3.6)×10-2s-1],甄别出7次新粒子生成(NPF)事件,占观测天数的23%.NPF事件发生时,颗粒物生成速率与增长速率分别为(5.2±1.4)cm-3s-1,(3.6±2.5)nm/h. NPF事件对CCN数浓度有明显贡献,NPF发生后CCN数浓度平均增长19%.     

成都西南城郊黑碳和PM2.5 浓度变化特征及其影响因子

四川盆地是我国灰霾和大气污染易发和频发区之一,目前关于本地区黑碳气溶胶（black carbon,BC）的相关研究较少。利用2017年11月—2018年12月成都西南城郊地区黑碳气溶胶以及PM_2.5观测资料,结合气象资料和其他污染物浓度资料,分析BC和PM_2.5浓度,BC浓度在PM_2.5浓度中所占比例（黑碳占比）的季节、月、日变化特征及其影响因子。结果表明：（1）BC逐小时浓度范围为0.18—40.51 μg?m^?3,平均值为(5.26±4.68) μg?m^?3,本底浓度为3.34 μg?m^?3。PM_2.5逐小时浓度范围为1.00—344.50 μg?m^?3,平均值为(60.02±46.91) μg?m^?3,本底浓度为33.38 μg?m^?3。日变化均呈“白天低,早晨、夜间高”的变化特征,其中冬季浓度最高,春、秋季次之,夏季浓度最低。（2）黑碳占比均值为9.16%±5.13%,白天黑碳占比低,夜间黑碳占比高,且夏季最高,冬季最低。随着空气污染加重,冬季占比缓慢增加,其他三季占比减小。（3）BC与NO₂和CO相关性较好,表明西南城郊BC排放主要受机动车尾气、生物质燃烧影响。BC和SO₂相关系数偏小,燃煤等工业源排放对西南城郊BC的贡献较小。（4）风速、温度和湿度与BC浓度均有很好的相关性,其中风速对BC浓度的影响最大,当风速小于2.0 m?s^?1时,BC浓度值明显偏高;BC浓度大于20.00 μg?m^?3的高值区主要集中在西北、西南以及东北风向上,即：偏东北方向市中心大气中的污染物,以及西南方向远郊地区的污染物可能对西南城郊高浓度黑碳的贡献更大。     

Effects of productivity on biodiversity in forest ecosystems across the United States and China

In the global campaign against biodiversity loss in forest ecosystems, land managers need to know the status of forest biodiversity, but practical guidelines for conserving biodiversity in forest management are lacking. A major obstacle is the incomplete understanding of the relationship between site primary productivity and plant diversity, due to insufficient ecosystem‐wide data, especially for taxonomically and structurally diverse forest ecosystems. We investigated the effects of site productivity (the site's inherent capacity to grow timber) on tree species richness across 19 types of forest ecosystems in North America and China through 3 ground‐sourced forest inventory data sets (U.S. Forest Inventory and Analysis, Cooperative Alaska Forest Inventory, and Chinese Forest Management Planning Inventory). All forest types conformed to a consistent and highly significant (P < 0.001) hump‐shaped unimodal relationship, of which the generalized coefficients of determination averaged 20.5% over all the forest types. That is, tree species richness first increased as productivity increased at a progressively slower rate, and, after reaching a maximum, richness started to decline. Our consistent findings suggest that forests of high productivity would sustain few species because they consist mostly of flat homogeneous areas lacking an environmental gradient along which a diversity of species with different habitats can coexist. The consistency of the productivity–biodiversity relationship among the 3 data sets we examined makes it possible to quantify the expected tree species richness that a forest stand is capable of sustaining, and a comparison between the actual species richness and the sustainable values can be useful in prioritizing conservation efforts.     

Microfiber pollution: an ongoing major environmental issue related to the sustainable development of textile and clothing industry

Environment, Development and Sustainability - Textiles release microfibers to the environment during production, use, and at end-of-life disposal. There is a potentially large and growing risk to...     

Entry Deterrence and Signaling in a Nonrenewable Resource Model

We analyze a nonrenewable resource model in which an incumbent firm faces potential entry from a rival firm. The incumbent has private information about its stock size but the rival can observe extraction. With observable extraction and unobservable stock, the rival can use extraction as a signal about stock, from which it can infer whether entry is likely to be profitable. We characterize the necessary conditions for pooling and separating perfect Bayesian equilibria in a signaling game of resource extraction and provide examples of each. We show that the incumbent will often prefer pooling to separating even though welfare is higher in separating equilibrium.     

Soil surface Hg emission flux in coalfield in Wuda,Inner Mongolia,China

Hg emission flux from various land covers, such as forests, wetlands, and urban areas, have been investigated. China has the largest area of coalfield in the world, but data of Hg flux of coalfields, especially, those with coal fires, are seriously limited. In this study, Hg fluxes of a coalfield were measured using the dynamic flux chamber (DFC) method, coupled with a Lumex multifunctional Hg analyzer RA-915+ (Lumex Ltd., Russia). The results show that the Hg flux in Wuda coalfield ranged from 4 to 318 ng m^?2 h^?1, and the average value for different areas varied, e.g., coal-fire area 99 and 177 ng m^?2 h^?1; no coal-fire area 19 and 32 ng m^?2 h^?1; and backfilling area 53 ng m^?2 h^?1. Hg continued to be emitted from an underground coal seam, even if there were no phenomena, such as vents, cracks, and smog, of coal fire on the soil surface. This phenomenon occurred in all area types, i.e., coal-fire area, no coal-fire area, and backfilling area, which is universal in Wuda coalfield. Considering that many coalfields in northern China are similar to Wuda coalfield, they may be large sources of atmospheric Hg. The correlations of Hg emission flux with influence factors, such as sunlight intensity, soil surface temperature, and atmospheric Hg content, were also investigated for Wuda coalfield.

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Effect of acute exposure to PFOA on mouse liver cells in vivo and in vitro

Increasingly, epidemiological evidences indicate chemosynthetic perfluorooctanoic acid (PFOA), an environmental pollutant, induces potential adverse effect on human health after long-term exposure. However, less study has been performed for assessment of acute effect of PFOA exposure on metabolic homeostasis. In experimental designs, PFOA-exposed liver cells in vivo and in vitro were used to discuss underlying mechanism related to PFOA-induced metabolic dysfunction. In serological tests, PFOA-exposed mice showed increased treads of liver functional enzymes in alanine transaminase (ALT), aspartate transaminase (AST), and total bilirubin (T-BIL), trypsinase, low density lipoprotein-cholesterol (LDL-C), and insulin, while blood glucose, high density lipoprotein-cholesterol (HDL-C), and glucagon levels were reduced. In histocytological observations, PFOA-exposed liver showed visible cytoplasmic vesicles, and intact pancreatic islets were observed in PFOA-exposed pancreas. Additionally, increased insulin-positive cells and reduced glucagon-positive cells were detected in PFOA-exposed islets. As shown in immunoassays, PFOA-exposed liver resulted in elevations of cluster of differentiation 36 (CD36)-labeled cells and CD36 protein. In mouse liver cell study, PFOA-exposed cells showed increased cell apoptotic count, and increased phosphorylated levels of Bcl-2 and Bad in the cells. Furthermore, PFOA-exposed liver cells exhibited elevations of CD36-labeled cells and CD36 protein. Taken together, the present data demonstrate that acute exposure to PFOA-impaired liver function is associated with inducting CD36 expression and apoptosis, as well as disrupting key hormones in the pancreas.