中国技术灾害的时序变化与区域差异

近年来,由于生产的全球化、工业水平的迅速提高、技术系统的复杂化和规模化,以及社会结构急剧变化,我国技术灾害的发生频次增多,强度加剧,经济损失趋于上升.技术灾害继自然灾害之后,已逐渐发展为威胁我国人民生命安全和生存环境的主要灾种.基于技术灾害数据库,从致灾因子多度、风险频数、相对损失强度和综合风险指数等4个方面对中国技术灾害的时序变化和区域差异进行了分析与探讨,以期加深对中国技术灾害的系统认识,并为中国技术灾害的风险管理提供依据.     

Toward sustainable use of natural resources: Nexus between resource rents,affluence, energy intensity and carbon emissions in developing and transition economies

Sustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO₂) emissions disaggregated into production and consumption-based (i.e., trade-adjusted) CO₂ emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production-based CO₂ emissions by 1.407%, with the EKC's predicted inverted U-shaped curve only explaining consumption-based CO₂ emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO₂ emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO₂ emissions embedded in consumption inventories. The bootstrap non-causality test shows that historical data on each variable has significant predictive power for future CO₂ emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO₂ emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.     

红色非硫光合细菌的生长特性研究

红色非硫光合细菌菌种从城市污水处理厂活性污泥中分离得到,对红色非硫光合细菌的生长规律及其影响因素进行研究,试验表明在进行污水处理时所用的红色非硫光合细菌的最佳培养条件为接种量2%,pH7～8,光照强度为1500lx,光照厌氧条件下培养3～5d。这为红色非硫光合细菌应用于染料有机化工废水处理的进一步研究提供了理论依据。     

中国交通运输碳排放强度时空交互特征及跃迁机制

采取多种空间分析的方法,对2002～2020年交通运输业碳排放强度的时空交互特征进行剖析,通过得到的时空跃迁类型与面板分位数模型进行嵌套来探究其跃迁机制,最后根据不同的跃迁机制引入地理探测器模型来考察影响交通运输业碳排放强度的不同因素之间的交互作用效应.结果表明: ①中国30个省区的交通运输业碳排放强度整体呈波动下降态势,在空间上的聚集水平也相对稳定.②ESTDA的时空交互特征表明,西北地区和周边邻接空间单位的关系不稳定,变化和波动较大.而东部沿海城市等经济发达地区已经形成了成熟的交通运输网络,因此局部空间格局也相对稳定,但仍有部分地区存在时空竞争性.③交通运输业碳排放强度时空跃迁可分为4类驱动或制约模式（人口-经济-城镇化制约模式;人口-经济-城镇化-设施制约模式;技术-消费-产业驱动模式和技术-产业-规制驱动模式）.大部分省份受低分位制约和高分位驱动两种模式的影响,仅有少部分省份受高分位制约和低分位驱动的作用影响,且绝大多数属于西北或西南地区.④根据得出的交通运输业碳排放强度跃迁机制进一步引入地理探测器模型,注重多因子的协调发展,加强区域间协同治理.     

上游阻挡建筑间距对街谷内空气环境的影响

城市中的大部分街谷都存在上游阻挡建筑.为考察阻挡建筑对街谷内空气环境的影响,通过数值计算方法研究分析了上游阻挡建筑对街谷内空气品质的影响作用,结果表明,在常规建筑间距范围内,街谷湍流强度、平均风速和风速波动范围均随着上游阻挡建筑间距增大而减小,这将导致当上游阻挡建筑与街谷建筑间距从15m增加到60m时,街谷空间污染物平均浓度增大36%,近地空间增大41%.因此,实际设计中街谷上游阻挡建筑与临街建筑间的距离不应过大.     

广东省能源消费碳排放分析及碳排放强度影响因素研究

根据省级能源统计和温室气体核算规则,计算分析了2005~2012年广东省能源消费碳排放和碳排放强度变化,并应用对数平均迪氏指数法对计算期的碳排放强度变化进行因素分解,定量分析了各产业(部门)能耗强度、产业结构、能源消费结构和能源碳排放系数对广东省碳排放强度变动的影响.结果表明:2005~2012年,广东省能源消费CO2排放年均增长6.28%,单位GDP碳排放累计下降27%,各产业(部门)能耗强度下降是推动碳排放强度下降的主要原因;净外购电力的碳排放系数下降及用作原材料石油消费比重上升也有利于单位GDP碳排放下降;产业结构和能源消费结构总体上朝着不利于碳排放强度下降的趋势发展;生活能源消费年均增速低于GDP年均增速,有利于地区碳排放强度下降.     

低温域湿地植物根际硝化强度及氨氧化微生物研究

以低温域(0~15 ℃)下黄菖蒲(Iris pseudacorus)、菖蒲(Acorus calamus)和香蒲(Typha orientalis)3种湿地植物为研究对象,分别取其根际土壤测定硝化强度,并采用FISH(荧光原位杂交)技术,考察植物根际AOB(氨氧化细菌)、AOA(氨氧化古菌)的数量变化规律. 结果表明:低温条件下,香蒲根际土壤的硝化强度最高,平均值为1.40 mg/(kg·h),黄菖蒲和菖蒲的平均值均为0.96 mg/(kg·h). 湿地植物根际土壤中的细菌数量(数量级为1010)远高于古菌(数量级为108),其中AOB为优势菌种,3种湿地植物的AOA数量分别约占总古菌数量的46.0%、47.9%和49.7%. 3种湿地植物根际AOB的数量(以湿土计,下同)排序为香蒲(2.57×109 g-1)>黄菖蒲(1.23×109 g-1)≈菖蒲(1.14×109 g-1),AOA的数量(以湿土计)排序为黄菖蒲(2.78×108 g-1)>香蒲(2.57×108 g-1)>菖蒲(1.15×108 g-1). 微生物分布特性和硝化作用效果均表明,不同植物根际氨氧化过程的主要作用微生物具有一定差异,AOA和AOB对于湿地土壤氮转化均具有不可忽视的作用,并与植物本体、土壤硝化过程微环境之间有一定的耦合关系.      

Parsing organizational culture: How the norm for adaptability influences the relationship between culture consensus and financial performance in high‐technology firms

The relationship between organizational culture and financial performance remains elusive even though researchers have studied it for some time. Early research suggested that a strong culture that aligns members' behavior with organizational objectives boosts financial performance. A more recent view is that, because strong cultures promote adherence to routines and behavioral uniformity, they are less effective in dynamic environments. We suggest that the relationship between culture and performance can be reconciled by recognizing that culture encompasses three components: (1) the content of norms (norm content); (2) how widely members agree about norms (culture consensus); and (3) how intensely organizational members hold particular norms (norm intensity). We hypothesize that “strong cultures”—where a high consensus exists among members across a broad set of culture norms—can contribute to better financial performance even in dynamic environments if norm content intensely emphasizes adaptability. We test this hypothesis in a sample of large firms in the high‐technology industry. Firms characterized by higher culture consensus and intensity about adaptability performed better three years later than did those characterized by lower consensus, lower intensity about adaptability, or both. We discuss how parsing culture into content, consensus, and intensity advances theoretical and empirical understanding of the culture–performance relationship. Copyright © 2014 John Wiley & Sons, Ltd.     

水体中磺胺甲恶唑和甲氧苄氨嘧啶的自然光降解

实验研究了磺胺甲恶唑和甲氧苄氨嘧啶连续暴露于自然光下72 h,在pH值为4.0、7.0、9.0水体中的光降解行为,同时考察了黑暗条件下对照样品在不同pH条件下的稳定性.实验表明,光强、光照时间、水体pH都直接影响到磺胺甲恶唑的去除率.在自然光照环境下,不同pH溶液中的磺胺甲恶唑均易发生光降解,而黑暗对照样品去除率较小.甲氧苄氨嘧啶则比较稳定,几乎未发生降解,但黑暗对照样品在pH值为4.0和7.0的溶液中,与起始浓度相比,去除率大于10%,这可能主要与该药物在不同pH溶液中的离子形态及光照过程中的温度波动有关.