广东省食品中的氯丙醇酯水平及其人体暴露评估

氯丙醇酯是氯丙醇与脂肪酸反应的一类污染物,该文旨在通过评估食品中的此类污染物对不同人群进行暴露风险评估.在广东省的3个地区采集了包括油条、方便面饼和麻花在内的食品样品,用GC-MS测定了4种氯丙醇酯类化合物,其中主要为2-MCPD酯和3-MCPD酯.氯丙醇酯浓度最高的为麻花,其次为方便面饼和油条.样品中3-MCPD酯和2-MCPD酯的浓度范围分别为n.d.~0.49 mg·kg~(-1)和n.d.~0.64 mg·kg~(-1).不同样品中2-MCPD酯的浓度均大于3-MCPD酯.对各个年龄的人群暴露评估的结果表明,3~9岁儿童的3-MCPD酯的暴露大于耐受量(TDI)0.8μg·kg-1·d-1,青年与成年组均小于每日最大耐受量(PMTDI)2μg·kg-1·d-1.本研究中的食品样本,对于儿童的暴露均存在健康风险,所以应该减少对油炸食品的摄入量以降低氯丙醇酯对儿童造成的健康风险.     

Preface

正Air pollution as well as climate change and their possible effects on the environment,ecosystems and human health,are pressing challenges.Nowadays,it is clear that sustainable societal development cannot remain solely wealth-oriented,but must take into account the present and future environmental issues.However,this approach is possible only if scientifically sound knowledge in all environmental areas becomes available to our societies and decision makers,which requires a firm     

The gap report of global climate change mitigation,finance, and governance after the United States declared its withdrawal from the Paris Agreement

On 1 June 2017, the US President Donald Trump officially announced the withdrawal from the Paris Agreement, thus the study on the reasons of withdrawal, the potential impacts, and coping strategies has become a focus among policy circles and of the international community. Based on the self-developed US Policy Assessment Model, this paper systematically evaluates the three potential “major deficits” in terms of mitigation, climate finance, and global climate governance, as a result of the US withdrawal from the Paris Agreement and puts forward policy suggestions for coping with such transformations accordingly. The study shows that the United States ’withdrawal from the Paris Agreement will affect the existence and implementation of successive climate policies and result in an additional 8.8–13.4% increase in the global emissions reduction deficit. The United States’ withdrawal will also deteriorate the existing climate finance mechanism. The Green Climate Fund (GCF)’s funding gap will increase by US$2 billion, while the gap of long-term climate finance will increase by about US$5 billion a year. Either the China–EU or the “BASIC plus” mechanism could fill the governance deficit caused by the United States and the lack of political momentum may continue for a while in the future.     

大气气溶胶酸度的研究进展

大气气溶胶的环境效应、气候效应和健康效应均与气溶胶的物理化学性质直接相关,其中大气气溶胶酸度是其重要的性质之一。大气气溶胶酸度对酸沉降、灰霾的形成具有重要作用,并影响大气非均相化学反应,相关研究已成为国际研究的热点。对国内外学者近年来在大气气溶胶酸度对大气环境与人体健康的影响、大气气溶胶酸度的影响因素与变化规律、大气气溶胶酸度/酸化缓冲能力的测定与计算方法、大气气溶胶酸性成分采集系统等方面的研究进展作了较系统的综述,并对大气气溶胶酸度研究未来的发展进行了展望。     

社会环境检测机构质量监管措施研讨

就目前的情况而言,我国在社会环境检测机构质量不容乐观。因此,我们应该根据实际情况,来设置相应的社会环境检测监管方案。我们可以通过严格规范社会环境检测机构市场准入门槛、创设专门的社会环境检测机构质量监管部门、创设社会环境检测机构网上投诉平台等方式,来提升监管力度,让社会环境检测机构正确发挥其应有的作用。     

Air pollution and hospital visits for acute upper and lower respiratory infections among children in Ningbo,China: A time-series analysis

Acute upper and lower respiratory infections are main causes of mortality and morbidity in children. Air pollution has been recognized as an important contributor to development and exacerbation of respiratory infections. However, few studies are available in China. In this study, we investigated the short-term effect of air pollution on hospital visits for acute upper and lower respiratory infections among children under 15 years in Ningbo, China. Poisson generalized models were used to estimate the associations between air pollution and hospital visits for acute upper and lower respiratory infections adjusted for temporal, seasonal, and meteorological effects. We found that four pollutants (PM_2.5, PM₁₀, NO₂, and SO₂) were significantly associated with hospital visits for acute upper and lower respiratory infections. The effect estimates for acute upper respiratory infections tended to be higher (PM_2.5 ER = 3.46, 95% CI 2.18, 4.76; PM₁₀ ER = 2.81, 95% CI 1.93, 3.69; NO₂ ER = 11.27, 95% CI 8.70, 13.89; SO₂ ER = 15.17, 95% CI 11.29, 19.19). Significant associations for gaseous pollutants (NO₂ and SO₂) were observed after adjustment for particular matter. Stronger associations were observed among older children and in the cold period. Our study suggested that short-term exposure to outdoor air pollution was associated with hospital visits for acute upper and lower respiratory infections in Ningbo.     

锌离子慢性暴露对中华大蟾蜍蝌蚪生长发育的影响

为评价水域环境中Zn~(2+)对两栖动物的毒性影响,本研究以中华大蟾蜍(Bufo gargarizans)蝌蚪为试验材料,对G26期蝌蚪进行了0、10、50、100和500μg·L~(-1)Zn~(2+)的慢性水体暴露直至蝌蚪发育至变态高峰期(G42期)。分别于暴露15 d和30 d后取样测定蝌蚪全长、体长、体重和发育分期各指标;此外,分析了Zn~(2+)慢性水体暴露对变态率、变态高峰期(G42)蝌蚪的全长、体长、体重、后肢长和骨骼发育的影响。结果表明:暴露15 d时,各浓度Zn~(2+)对中华大蟾蜍蝌蚪的生长发育均未造成显著影响,而持续暴露30 d后,500μg·L~(-1)Zn~(2+)处理组蝌蚪的生长发育受到显著抑制;各浓度Zn~(2+)慢性暴露均导致中华大蟾蜍蝌蚪变态率的下降,其中500μg·L~(-1)Zn~(2+)处理组的变态率最低;500μg·L~(-1)Zn~(2+)慢性暴露导致G42期中华大蟾蜍蝌蚪的形态指标(全长、体长、后肢长)和骨化程度均受到显著抑制。研究表明,水环境中高浓度锌对中华大蟾蜍幼体的生长发育和变态具有潜在的危害,水域锌污染所引发的毒理效应予以重视。     

Field study of nitrous oxide production with in situ aeration in a closed landfill site

Nitrous oxide (N₂O) has gained considerable attention as a contributor to global warming and depilation of stratospheric ozone layer. Landfill is one of the high emitters of greenhouse gas such as methane and N₂O during the biodegradation of solid waste. Landfill aeration has been attracted increasing attention worldwide for fast, controlled and sustainable conversion of landfills into a biological stabilized condition, however landfill aeration impel N₂O emission with ammonia removal. N₂O originates from the biodegradation, or the combustion of nitrogen-containing solid waste during the microbial process of nitrification and denitrification. During these two processes, formation of N₂O as a by-product from nitrification, or as an intermediate product of denitrification. In this study, air was injected into a closed landfill site and investigated the major N₂O production factors and correlations established between them. The in-situ aeration experiment was carried out by three sets of gas collection pipes along with temperature probes were installed at three different distances of one, two and three meter away from the aeration point; named points A-C, respectively. Each set of pipes consisted of three different pipes at three different depths of 0.0, 0.75 and 1.5 m from the bottom of the cover soil. Landfill gases composition was monitored weekly and gas samples were collected for analysis of nitrous oxide concentrations. It was evaluated that temperatures within the range of 30–40°C with high oxygen content led to higher generation of nitrous oxide with high aeration rate. Lower O₂ content can infuse N₂O production during nitrification and high O₂ inhibit denitrification which would affect N₂O production. The findings provide insights concerning the production potentials of N₂O in an aerated landfill that may help to minimize with appropriate control of the operational parameters and biological reactions of N turnover.

Implications: Investigation of nitrous oxide production potential during in situ aeration in an old landfill site revealed that increased temperatures and oxygen content inside the landfill site are potential factors for nitrous oxide production. Temperatures within the range of optimum nitrification process (30–40°C) induce nitrous oxide formation with high oxygen concentration as a by-product of nitrogen turnover. Decrease of oxygen content during nitrification leads increase of nitrous oxide production, while temperatures above 40°C with moderate and/or low oxygen content inhibit nitrous oxide generation.     

A2O氧化沟缺氧区三维流场模拟及结构形式优化

以FLUENT软件为工具,选用三维RNG k-ε紊流数学模型对重庆井口污水厂A2O氧化沟缺氧区内的流场进行模拟,分析了缺氧区内流场分布不均匀及沉泥的原因,提出了水下推进器的合理设置位置与导流墙的合理设置方式,并对优化后的缺氧区进行了模拟计算。通过优化后模拟的结果可见,在相同的功率密度下,缺氧区内的流场得到了较均匀的分布,流速从原来的0.131 m/s提升到0.204 m/s,减少了能量的损失。底部的流速也从原来的0.140 m/s提升到0.226 m/s,有效的防止或减少了沟中的污泥沉积。优化的结果对实际工程的设计也有一定的指导意义。     

A New Statistical Dynamic Analysis of Ecosystem Patterns

While phenomenological investigations of ecosystem patterns often fail to reveal underlying dynamic mechanisms, we highlight a universal principle for pattern formation in ecosystems. We consider ecosystems to be typical complex adaptive systems that seek an optimal process to obtain maximized flux under given constraints. An analysis of the optimal process reveals underlying microscopic dynamic mechanisms that induce complex patterns in ecosystems. We emulate ecosystem patterns using a Self-Organization Feature Map: an artificial neural network theoretical model by which evolution processes, structural classifications, and the fractal growth of ecosystem patterns can be simulated. The results help us analyze the formation and dynamics of ecosystem patterns, with attending implications for the classification, protection, and optimization of ecosystems.