Same stimuli,different responses: a pilot study assessing air pollution visibility impacts on emotional well-being in a controlled environment

● Emotional responses to visibility-reducing haze was assessed in a controlled lab. ● Valence and arousal have non-linear responses to pollution-caused low visibility. ● Repetitive exposure aggravates negative emotions in severely polluted conditions. ● Emotional bias to pollution relates with gender, decisiveness, attitude to clean air. A growing number of studies have shown that impaired visibility caused by particulate matter pollution influences emotional wellbeing. However, evidence is still scant on how this effect varies across individuals and over repetitive visual exposure in a controlled environment. Herein, we designed a lab-based experiment (41 subjects, 6 blocks) where participants were presented with real-scene images of 12 different PM_2.5 concentrations in each block. Emotional valence (negative to positive) and arousal (calm to excited) were self-rated by participants per image, and the response time for each rating was recorded. We find that as pollution level increases from 10 to 260 µg/m³, valence scores decrease, whereas arousal scores decline first and then bounce back, following a U-shaped trend. When air quality deteriorates, individual variability decreases in hedonic valence but increases in arousal. Over blocks, repetitive visual exposure increases valence at a moderate pollution level but aggravates negative emotions in severely polluted conditions (> 150 µg/m³). Finally, we find females, people who are slow in making responses, and those who are highly aroused by clean air tend to express more negative responses (so-called negativity bias) to ambient pollution than their respective counterparts. These results provide deeper insights into individual-level emotional responses to dirty air in a controlled environment. Although the findings in our pilot study should only be directly applied to the conditions assessed herein, we introduce a framework that can be replicated in different regions to assess the impact of air pollution on local emotional wellbeing.     

我国环境费效分析方法的特点与应用潜力研究

为全面分析环境费效分析方法发展现状,本文在总结国内外研究进展的基础上,对环境领域费效分析方法的特点进行了系统梳理,并指出了费效分析方法未来的应用前景。总体来看,环境费效分析具有内容广泛性、时空异质性、动态变化性并与社会经济发展阶段密切相关的特点。现阶段,针对环境管理工作,应尽快建立一套包括传统费效、风险感知、生态补偿等在内的多尺度动态反馈的环境费效评估的标准模型,并进一步将环境费效分析纳入我国政府决策体系中。     

多传感器耦合区域火灾报警技术研究

早期预警与低误报率一直是建筑火灾探测面临的挑战与难题。已有研究多针对特殊场所特定燃烧产物或多种传感器耦合,普适性不强,探测设备成本高,无法大规模应用。通过将火灾烟气蔓延规律与探测器信号时空分布融合,在不增加探测器数量和分布的情况下,提出了一种基于建筑结构微元的多传感器耦合区域火灾报警模型。对典型火灾场景的烟气蔓延情况进行了模拟分析,狭长结构中探测器信号强度变化具有一定的规律性。应用区域火灾报警模型后,报警时间较传统模式提前了14.7%,基本杜绝了单个探测器误报引发建筑物火灾报警的问题。结果表明:多传感器耦合探测模式显著缩短了火灾报警时间,降低了火灾探测误报率,实现了火灾的早期准确识别与预警。     

我国推进环境污染责任保险的系统性风险及对策

环境污染责任保险是以企业发生的污染事故对第三者造成的损害依法应负的赔偿责任为标的的保险.本文在对我国环境污染责任保险30年发展历程进行全面回顾的基础上,从立法、模式、技术等层面出发,结合2019年底以来新型冠状病毒引发的公共卫生紧急事件挑战,分析了新时期政策实践面临的系统性风险,提出通过促进自上而下的立法推进与自下而上的自主试点良性互动、"低保额、低保障、广覆盖"的强制基本险与"高保额、高保障、个性化"的商业附加险灵活结合、经验数据积累与技术标准完善双管齐下、企业常态自主投保与特殊应急响应投保相互助力等方式妥善化解相关风险,为补齐生态短板、打好污染防治攻坚战、全面建成小康社会提供助力.     

华东某铀矿区周边河流表层沉积物的天然放射性评价

利用高纯锗γ能谱分析仪测量中国华东某铀矿区附近河流沉积物的放射性核素比活度,计算γ辐射吸收剂量率(D)、有效镭浓度(Ra_(eq))、外照射指数(H_(ex))、内照射指数(H_(in))、年有效剂量当量(AEDE(室内和室外))和年性腺剂量当量(AGDE)等放射性参数,并开展沉积物的放射性危害评估,最后通过Pearson线性系数确定放射性核素比活度之间的相关性。结果表明,河流沉积物中放射性核素~(238)U、~(226)Ra、~(232)Th和40K的平均比活度分别为51.55、37.32、57.63和756.86 Bq·kg~(-1),除~(226)Ra外,其他放射性核素的比活度均高于中国平均值;距离污染区较远或存在河流稀释作用的区域,沉积物的天然放射性核素处于正常水平,作为建筑材料使用时比活度不存在超标;放射性核素~(238)U、~(226)Ra和~(232)Th之间存在显著相关性。     

基于ArcGIS的校园景观水体水质特征研究与评价

为了解校园景观水体的水质污染特征及规律,结合富营养化常规监测指标,运用单因子指数法、内梅罗指数法、综合营养状态指数法及基于Arc GIS的空间叠加分析法对重庆某大学校园景观水体(静湖)冬季枯水期的水质状况进行了分析与评价。结果表明,叶绿素a和高锰酸钾指数超标点位为83%和17%;而总氮和总磷能满足地表水环境质量标准中的Ⅳ类与Ⅴ类;叶绿素a与总氮、总磷存在一定的线性关系,且各因子对富营养化的贡献大小为叶绿素a总磷透明度、高锰酸钾指数总氮;该人工湖冬季枯水期综合水质已呈现中度富营养化状态,水质有待改善。     

Effect of composting process on phytotoxicity and speciation of copper, zinc and lead in sewage sludge and swine manure

The concentration and bioavailability of heavy metals in composted organic wastes have negative environmental impacts following land application. Aerobic composting procedures were conducted to investigate the influences of selected parameters on heavy metal speciation and phytotoxicity. Results showed that both of sewage sludge (SSC) and swine manure (SMC) composting systems decreased the pH, the content of organic matter (OM) and dissolved organic carbon (DOC), and total amounts of Cu, Zn and Pb. Sequential extraction showed that readily extractible fractions of exchangeable and carbonate in Cu and Zn increased during SSC composting but decreased during SMC composting, thus their bioavailability factors (BF) enhanced in SSC but declined in SMC. The fraction of reducible iron and manganese (FeMnOX) of Cu and Zn in SSC and FeMnOX-Cu in SMC decreased, but FeMnOX-Zn in SMC gradually increased in the process of compost. In contrast, the changes of Pb distributions were similar in two organic wastes. Pb was preferentially bound to the residual fraction and its BF decreased. The evolution of heavy metal distributions and BF depended on not only total metal concentrations but also the other properties, such as pH, decomposition of OM and decline of DOC. The germination rate (RSG), root growth (RRG) and germination index (GI) of pakchoi (Brassica Chinensis L.) increased during the composting process. Linear regression analysis demonstrated that GI, which could represent phytotoxic behavior to the plants, could be poorly predicted by BF or total amount of metals, i.e., BF-Zn, T-Cu. However, the inclusion of other physicochemical parameters (pH, OM and DOC) could enhance the linear regression significances (R).     

三叶鬼针草对蚕豆根尖遗传毒性的研究

化感作用是外来植物成功入侵和快速扩散的机制之一,为了探讨入侵植物三叶鬼针草(Bidens pilosa L.)的化感作用机制,运用蚕豆根尖微核技术和植物切片技术,研究了不同质量浓度的三叶鬼针草水浸提液对蚕豆(Vicia faba L.)根尖细胞的遗传损伤和对根生长的影响。结果表明,三叶鬼针草水浸提液对蚕豆根尖细胞有丝分裂及生长产生不同程度的抑制和损伤,具有明显的遗传毒性。水浸提液对蚕豆根尖的影响存在显著的时间效应和质量浓度效应。经切片测量统计,水浸提液促进了成熟区细胞平周分裂,使根尖细胞层数增加;同时显著地抑制了细胞伸长,使根尖缩短,整体表现为使根尖加粗变短。三叶鬼针草水浸提液抑制了细胞有丝分裂的正常进行,并随着水浸提液质量分数的升高,分裂期细胞数目下降,微核率逐渐升高。本研究结果表明三叶鬼针草水溶性化感物质对植物的遗传稳定性及细胞形态结构具有一定的影响,三叶鬼针草的化感作用可能是其成功入侵的机制之一。     

天津市夏秋季O3-PM2.5复合污染特征及气象成因分析

天津市PM_2.5-O₃复合污染主要发生在夏秋季,本研究筛选出2017年夏季一次和秋季两次典型PM_2.5-O₃复合污染过程,系统分析污染物变化特征,探究天气形势和主要气象因子的影响.结果表明,3次污染过程PM_2.5与O₃呈现不同程度的正相关性（日均值相关系数达到0.34~0.78）,O₃与PM_2.5中硫酸盐和有机碳日均浓度存在较为一致的变化趋势.与非复合污染日相比,复合污染日无机盐占PM_2.5组分的比重增加,增长率为1.9%~7.3%;而碳组分占比减小.复合污染过程发生时,天津地区处于低压槽前或高压后部,近地面弱的偏南风辐合造成较差的大气扩散条件,导致大气污染物的累积.研究结果发现,夏季和秋季PM_2.5-O₃复合污染过程需要适宜的气象条件,温度阈值分别为25~35℃和20~30℃,相对湿度分别为40%~70%和55%~100%.夏秋季复合污染过程关键无机组分及其形成机制有所差异.夏季,日间O₃等强氧化剂对SO₂的气相氧化过程和夜间高湿条件（大约60%）下液相化学反应可能是主导的化学机制,硫酸盐增长率为8.2%.秋季高湿环境（≥80%）不仅促进SO₂向硫酸盐转化,秋季第一次复合污染过程硫酸盐增长4.7%,也促进夜间N₂O₅水解反应等,秋季第二次复合污染过程硝酸盐增长6.0%,两种机制成为秋季复合日PM_2.5显著增长的关键机制.本研究揭示了驱动天津市PM_2.5-O₃复合污染过程发生的适宜气象条件、PM_2.5关键化学组分及其化学过程,为复合污染的成因及协同控制提供了参考.     

基于贝叶斯估计的多探测器火警判定方法研究*

为应对感烟探测器的大量误报对消防应急响应带来的挑战,考虑目前以感烟探测器为主的火警设施误报率高且短期内难以全部更换的特点,提出基于贝叶斯估计的多探测器火警判定方法,通过多个探测器的报警时间间隔计算火源位置的后验概率分布,并提出火警真实度概念,为火警判定提供依据。结果表明:使用多探测器耦合模型时每增加1个探测器可将误报率降低约4个数量级,该方法在探测器正常、部分失效、误报的情景下均能有效判别火警。