CSTR系统发酵产氢细菌群落动态与产氢能力关系解析

将CSTR系统内pH由4.2一次性提高至6.0左右,启动发酵类型的转化,研究了转化过程系统内的产氢动态和细菌群落.结果表明,在有机负荷维持在（33±1）kg/(m³·d)的情况下,发酵类型10 d内未发生改变,产氢量8 d内未降低,15 d后系统内种群由乙醇型转化为丁酸型,进水碱度由250 mg/L增至2 450　mg/L.研究中利用荧光原位杂交技术（FISH）对反应系统内3类微生物群进行监测发现,在转化过程中Clostridium cluster XI数量增加,Clostridium cluster Ⅰ 和Ⅱ数量减少,而Enterobacteriaceae始终存在,变化不明显.种群的消长同反应系统产氢能力的高低存在密切关联,以Clostridium cluster Ⅰ和Ⅱ占优势的乙醇型发酵具有更佳的产氢能力,平均比产氢速率为23.6 mol/(kg·d).     

我国船舶溢油污染事故溢油量评估方法及其应用

鉴于污染面积和溢油量对溢油污染事故的重要性,本文作者根据多年工作经验,从实际应用出发,给出了适用于我国船舶溢油污染事故污染面积和溢油量评估的几种技术方法,并给出了应用实例.同时阐述了每种评估方法的实质以及其自身的技术局限性,以及在实例中发挥的作用.旨在推进我国的污染面积和溢油量评估工作,实现规范化、系统化评估,提高船舶溢油污染事故的处理效率.     

膜生物反应器亚硝化性能的影响因素研究

利用膜生物反应器成功启动了亚硝化工艺处理人工合成废水.为了确定影响亚硝化工艺效果的因素,先后对温度和溶解氧浓度进行了研究,结果表明,在温度35℃并且NH4+-N负荷平均0.45 kg.(m3.d)-1和溶解氧0.5 mg/L的条件下,可使出水中NO3--N的浓度低于20 mg.L-1,而ρ(NO2--N)∶ρ(NH4+-N)接近1.0.同时发现反应器运行期间,在低溶解氧的情况下,膜组件的污染并不严重.荧光原位杂交分析发现,在膜生物反应器中氨氧化菌成为优势菌种,亚硝酸盐氧化菌的活性受到了抑制.微生物群落分析则进一步提供了实现亚硝化工艺所必需的生物信息.     

一起氯碱厂化学品泄漏事故原因浅析

通过对一起储罐破裂导致的化学品泄漏事故原因分析,说明了次氯酸钠与盐酸是禁忌物质,建议设计、评价人员应全面深刻理解国家有关安全标准和设计规范,正确设计;生产使用单位接受事故教训,防止同类事故重演。     

石油污染地的土壤修复技术

对石油污染土壤的各类修复技术进行了总结和归纳,并对各项技术的优缺点加以比较,提出了一套石油污染地生态恢复的流程。     

GIS技术在化学事故应急指挥系统中的应用研究

以地理信息系统（简称GIS）的技术特点为基础,结合应急指挥系统中的功能需求,探讨化学事故应急指挥系统GIS平台能够实现的功能,以及为实现这些功能而构建的数据库的建设。将GIS技术应用在化学事故应急指挥系统中,能够迅速、直观地了解事故装置和设备情况,获得有关信息,进行事故模拟。对提高事故处理速度,缩短反应时间,减少事故损失具有重要意义。     

An in-depth analysis of self-reported cycling injuries in single and multiparty bicycle crashes in Denmark

Introduction: Cycling is one of the main forms of transportation in Denmark. However, while the number of traffic crash fatalities in the country has decreased over the past decade, the frequency of cyclists killed or seriously injured has increased. The high rate of serious injuries and fatalities associated with cycling emphasizes the increasing need for mitigating the severity of such crashes. Method: This study conducted an in-depth analysis of cyclist injury severity resulting from single and multiparty bicycle-involved crashes. Detailed information was collected using self-reporting data undertaken in Denmark for a 12-month period between 1 November 2012 and 31 October 2013. Separate multilevel logistic (MLL) regression models were applied to estimate cyclist injury severity for single and multiparty crashes. The goodness-of-fit measures favored the MLL models over the standard logistic models, capturing the intercorrelation among bicycle crashes that occurred in the same geographical area. Results: The results also showed that single bicycle-involved crashes resulted in more serious outcomes when compared to multiparty crashes. For both single and multiparty bicycle crash categories, non-urban areas were associated with more serious injury outcomes. For the single crashes, wet surface condition, autumn and summer seasons, evening and night periods, non-adverse weather conditions, cyclists aged between 45 and 64 years, male sex, riding for the purpose of work or educational activities, and bicycles with light turned-off were associated with severe injuries. For the multiparty crashes, intersections, bicycle paths, non-winter season, not being employed or retired, lower personal car ownership, and race bicycles were directly related to severe injury consequences. Practical Applications: The findings of this study demonstrated that the best way to promote cycling safety is the combination of improving the design and maintenance of cycling facilities, encouraging safe cycling behavior, and intensifying enforcement efforts.     

Injury severity analysis of rollover crashes for passenger cars and light trucks considering temporal stability: A random parameters logit approach with heterogeneity in mean and variance

Problem: The rollover crash is a serious crash type that often causes higher injury severities. Moreover, factors that contribute to the injury severities of rollover crashes may show instabilities in different vehicle types and time periods, which requires further investigations. This study utilizes the rollover crash data in North Carolina from Highway Safety Information System (HSIS) to study the effect instabilities of factors in vehicle type and time periods in rollover crashes. Methods: The injury severities of drivers are estimated using the random parameters logit (RPL) model with heterogeneity in means and variances. Available factors in HSIS have been categorized into three groups, which are drivers, road, and environment, respectively. This study also justifies the segmentations through transferability tests. The effects of identified significant factors are evaluated using marginal effects. Results: Factors such as FWP (farm, wood, and pasture areas), unhealthy physical condition, impaired physical condition, road adverse, and so forth have shown instabilities in marginal effects among vehicle types and time periods. Practical Applications: The finding of this research could provide important references for policy makers and automobile manufactures to help mitigate the injury severity of rollover crashes.     

软岩隧道塌方事故致灾因素耦合分析*

为减少专家主观判断对软岩隧道塌方事故评估的影响,提出1种从事故出发逆推分析事故致灾因素耦合机制的方法。基于142个隧道施工塌方事故案例,系统总结隧道塌方事故致灾因素,对塌方事故的致灾因素出现频率进行排序;从致灾因素之间关联耦合关系出发,结合隧道施工塌方事故的多因素耦合致灾机理,研究隧道塌方事故产生过程的多因素耦合路径和耦合过程;采用N-K耦合模型开展隧道塌方事故多因素耦合路径下的耦合关联值评估,并对耦合关联值进行排序从而找到控制塌方事故发生的致灾因素组合。结果表明:除4个主要致灾因素的全耦合外,围岩岩性-降雨-地下水的耦合关联值是洞身段中最大值,为17.79%,围岩岩性-偏压-地下水的耦合关联值是洞口段中最大值,为24.02%;洞身段的围岩岩性-地下水因素和洞口段的围岩岩性-偏压因素分别对耦合关联值大小起决定影响;耦合关联值不具备叠加效应,2因素耦合关联值可能比3因素耦合关联值更大。研究结果可为提高隧道事故分析与安全防控提供科学依据。     

Evaluation of ecological restoration success in mining‐degraded lands

This review article analyzes the importance of assessing the success of ecological restoration by using four indicators: assemblage of the plant and animal communities; enzyme activity; litter accumulation and decomposition; and the improvement of soil quality. These indicators can be used alone or in combinations. Even though the Society for Ecological Restoration International provided a primer containing nine attributes to use as standards for measuring ecological restoration, only three of these attributes could be easily applied due to their low costs and low time requirements. These three attributes include: diversity, vegetation structure, and ecological processes. This review article emphasizes that the criteria for the selection of the indicator species should be based upon: habitat types, abundance of species, ease of measuring, quantifying and interpreting the results, gradual enhancement with time and cost‐effectiveness, sensitivity, variability of response, size, residential status, and requirements of the area. Principal component analysis was applied to calculate the reclaimed mine soil quality index (RMSQI) and the forest soil quality index (FSQI) and the RMSQI value was compared with FSQI (optimum index value of reference ecosystem) to evaluate the restoration success. Available phosphorus, exchangeable magnesium, organic carbon, clay content, field moisture, available nitrogen, electrical conductivity, and pH are identified as the most influential parameters that regulate the health of reclaimed mine soil. Exchangeable calcium, magnesium, cation exchange capacity, sand, silt, clay content, field moisture, available phosphorus, and pH are the controlling properties for forest soil. The observed values of the above‐stated soil indicator properties were converted into a unitless score (0–1.00) and integrated into index calculations (RMSQI and FSQI). The contribution of each soil indicator properties on the calculated index was analyzed, which provides insight into the reason for the measured index. A higher RMSQI indicates better ecological restoration success. The calculated RMSQI was found to be 0.473 in the reclaimed dump, which is 6% lower than the reference ecosystem.