汶川地震中房屋建筑震害特征及抗震设计思考

汶川5·12特大地震造成了为数众多的建筑物不同程度的损坏。地震发生后,四川大学随即组织了现场勘查队奔赴受灾最为严重的地区了解建筑物的受损情况。本文基于大量的现场勘查资料介绍了砌体结构、框架结构、底框或局部底框砌体结构及楼梯间的震害特点。在定性分析的基础上提出以下观点:合理设计和施工的砌体结构有可能获得良好的抗震性能;按现行规范设计的钢筋混凝土框架结构难以实现"强柱弱梁"的要求;填充墙对框架抗震性能有显著的影响;在地震区应慎用底框砌体结构;合理的结构布置和施工质量是结构获得良好抗震性能的前提;仅用延性系数来衡量结构抗震性能具有一定的片面性;楼梯间结构设计宜考虑地震作用的影响。     

逆断层作用下复合衬砌输水隧洞损伤演化分析∗

复合衬砌是一种新型可承受高内压的输水隧洞衬砌结构,在穿越断层带时会由于断层错动作用发生破坏。 因此,对复合衬砌输水隧洞穿越逆断层的损伤演化分析具有现实意义。通过考虑多重荷载和不同结构层间的分离模式,建立复合衬砌输水隧洞?断层三维有限元模型,研究逆断层不同错动位移下复合衬砌结构损伤演化的过程,并对损伤状态进行量化评估。结果表明：逆断层作用下复合衬砌结构的损伤分为剪切损伤、拉伸损伤和失效破坏三个阶段。滑动面拱腰边墙处钢管受弯曲变形和局部屈曲耦合作用发生破坏是复合衬砌结构的最终破坏形式,破坏范围与滑动面呈“X”型分布向两盘延伸。由于不同材质性能和黏结特性的差异,断层作用导致不同结构层间发生脱离现象,脱离距离与错动位移呈正相关性。混凝土-钢管间脱离不同于混凝土-围岩间呈连续性分布,主要集中在钢管加劲肋附近。钢管内衬降低了混凝土开裂造成的内水外渗风险,增强了复合衬砌结构抵抗断层错动作用,提高了输水隧洞结构的安全裕度。     

一种评估烟花爆竹燃放对大气PM2.5影响的新方法

基于北京市空气质量自动监测系统2013年2月常规污染物监测数据,提出了定量估算烟花爆竹燃放对大气PM2.5影响的污染物相对比值(PM2.5/CO)法。利用该方法研究表明,2013年北京除夕烟花爆竹燃放使PM2.5单站1小时平均浓度最大增加709μg/m3(石景山古城监测点);全市24小时平均浓度增加88μg/m3,达到159μg/m3,空气质量由良好升级为重度污染。元宵节夜间烟花爆竹燃放使PM2.5单站1小时平均浓度最大增加469μg/m3(海淀万柳监测点),全市24小时平均浓度增加54μg/m3。除夕夜、元宵夜全市平均烟花爆竹PM2.5浓度超过75μg/m3的时间分别为5、7 h,达到峰值后半衰期分别为0.9、1.7 h。城区烟花爆竹PM2.5浓度高于郊区,并可导致下风向郊区的PM2.5浓度显著增加。除夕、元宵节北京市区烟花爆竹排放PM2.5总量分别约为1.91×105kg、1.17×105kg。     

典型陆源入海排污对邻近海域富营养化及生物毒性的影响

主要采用等标污染负荷、营养状态指数、生物综合毒性指标和GIS手段,通过对秦皇岛海域3个陆源入海排污口及邻近海域水质因子调查,考察典型陆源入海排污对邻近海域富营养化及生物毒性的影响。结果表明,大蒲河、人造河和洋河入海污染物的等标污染负荷比分别为36.9%、61.1%和2.0%,其中大蒲河和人造河对该海域污染负荷比的贡献达98%,为主要污染源;邻近海域主要超标污染物为PO3-4和DIN,PO3-4浓度与NQI相关分析(r=0.76,P=0.004 6)和GIS空间对比表明,PO3-4可能是造成该海域富营养化的主要因子。NQI和发光细菌发光抑制率的空间分布特征表明,该海域受陆源排污的影响比较明显。     

流域生态过程与水环境效应研究进展

以Web of Science数据库及CNKI(中国知网)的文献资料为数据源,利用CiteSpace文献计量工具,对流域生态过程和水环境效应研究领域的相关文献从发文量、发文期刊、关键词、作者及论文被引频次等方面进行分析,以此探讨国内外该领域研究现状、研究热点及未来发展趋势.结果 表明,流域生态过程和水环境效应研究文献数...     

pH Mediated L-cysteine Aqueous Solution for Wool Reduction and Urea-Free Keratin Extraction

Journal of Polymers and the Environment - Regenerated keratin from waste wool is one of the most critical modern biomaterials due to its intrinsic biodegradability, biocompatibility, and mechanical...     

Environmental factors and spatiotemporal distribution characteristics of the global outbreaks of the highly pathogenic avian influenza H5N1

The spread of highly pathogenic avian influenza H5N1 has posed a major threat to global public health. Understanding the spatiotemporal outbreak characteristics and environmental factors of H5N1 outbreaks is of great significance for the establishment of effective prevention and control systems. The time and location of H5N1 outbreaks in poultry and wild birds officially confirmed by the World Organization for Animal Health from 2005 to 2019 were collected. Spatial autocorrelation analysis and multidistance spatial agglomeration analysis methods were used to analyze the global outbreak sites of H5N1. Combined with remote sensing data, the correlation between H5N1 outbreaks and environmental factors was analyzed using binary logistic regression methods. We analyzed the correlation between the H5N1 outbreak and environmental factors and finally made a risk prediction for the global H5N1 outbreaks. The results show that the peak of the H5N1 outbreaks occurs in winter and spring. H5N1 outbreaks exhibit aggregation, and a weak aggregation phenomenon is noted on the scale close to 5000 km. Water distance, road distance, railway distance, wind speed, leaf area index (LAI), and specific humidity were protective factors for the outbreak of H5N1, and the odds ratio (OR) were 0.985, 0.989, 0.995, 0.717, 0.832, and 0.935, respectively. Temperature was a risk factor with an OR of 1.073. The significance of these ORs was greater than 95%. The global risk prediction map was obtained. Given that the novel coronavirus (COVID-19) is spreading globally, the methods and results of this study can provide a reference for studying the spread of COVID-19.

     

High-expression and characterization of a novel serine protease from Ornithinibacillus caprae L9T with eco-friendly applications

Environmental Science and Pollution Research - In the current work, a novel thermophilic serine protease gene (P3862) from Ornithinibacillus caprae L9T was functionally expressed in Bacillus...     

Local production,downward and regional transport aggravated surface ozone pollution during the historical orange-alert large-scale ozone episode in eastern China

Increasing severe and persistent ozone pollution in China has resulted in serious harm to human health in recent years, yet the precise pollution sources are poorly known because there is few knowledge on large-scale extreme ozone episodes. Here, we studied the formation of the historical orange-alert regional ozone episode in eastern China on 6 June, 2021, by combining process analysis, integrated source apportionment modelling, and chemical and meteorological data. Results show that during the pollution episode, 94% of cities in eastern China suffered ozone pollution, and 39% had daily maximum 8-h average ozone concentrations higher than 100 ppb. This is explained by favorable local ozone formation and transports provided by the prevailing northwestern winds in the upper air, and by sinking atmospheric motions favoring the persistence of high surface ozone concentrations. During daytime, local photochemical production induced an ozone increase of 0.3–28.4 ppb h^?1 and vertical transport induced an ozone increase of 0.4–56.1 ppb h^?1. As a consequence, vertical downward transport of ozone generated in the upper air by photochemical reactions aggravated surface ozone pollution. Surface ozone concentrations include 25.8–53.9% of ozone from local provincial emissions, 0–42.6% of ozone from inter-regional transports from neighboring regions, 4.6–23.1% of ozone from outer-regional transport, and 13.6–52.9% of ozone from boundary conditions in the selected cities. Overall, our findings show that favorable meteorological conditions promoted the chemical productions of ozone on the surface and at high altitudes, thus resulting in this heavy ozone pollution. In addition, regional and vertical downward transports of aloft ozone further aggravated the surface ozone pollution, leading to the large-scale extreme ozone pollution episode.