浅析低瓦斯煤矿瓦斯防治安全评价

笔者结合煤矿安全评价工作的经验,通过运用预先危险分析对低瓦斯煤矿瓦斯防治进行分析,得出瓦斯爆炸是最严重的瓦斯事故。进而通过对瓦斯爆炸的事故树分析,得出了导致瓦斯爆炸的27个基本事件。应用事故树分析中的最小割集、最小径集和结构重要度,对瓦斯爆炸进行了研究。结果表明,瓦斯爆炸不发生所必须的最低限度的基本事件集合即最小径集有6个,其中严格控制瓦斯浓度,杜绝一切火源,是预防煤矿瓦斯爆炸的最重要途径。从源头上防止瓦斯爆炸的发生,提高我国煤矿安全生产水平。     

南京紫金山马尾松树轮δ13C对气候变化响应敏感性的研究

树木年轮宽度指标在气候重建中发挥了重要的作用,可是在温暖湿润的地区,利用树木年轮宽度重建古气候遇到了困难。因此寻找其他代用指标就成为一项急迫而重要的任务。一些研究发现,树轮稳定碳同位素可以发挥重要的作用。但是,是否所有的树种的树轮碳同位素对气候的响应都同样的敏感,还需要通过大量的研究分析工作来验证。为了了解温暖湿润的亚热带季风区马尾松树轮δ13C对气候响应的敏感性,选取了南京紫金山的两个马尾松树盘,进行了树轮δ13C的分析,建立了1939~2002和1955~2002年两个树轮δ13C变化序列。与降水、温度、相对湿度、光照时数、风速等气候指标进行了相关分析。结果表明：（1）马尾松树轮δ13C对于气候的响应是敏感的,可以作为气候变化的代用指标;（2）坡向对于马尾松树轮δ13C对气候的响应敏感性也有一定的影响,树轮δ13C平均值西南坡比东南坡高,西南坡比东南坡对月平均最低和最高温度的响应更敏感;（3）紫金山马尾松树轮δ13C与该地区生长季（尤其是夏、秋季）的月平均气温、月平均最高气温和日照时数呈正相关,而与月平均最低气温、降水量、空气相对湿度呈负相关     

生物滴滤塔净化甲苯启动性能研究

研究以甲苯为驯导物的生物滴滤塔挂膜启动阶段净化性能的变化。实验结果表明,通过控制pH和湿度得到了真菌滴滤系统,启动周期为14 d,比细菌滴滤塔长7 d;在进化性能方面,在入口负荷、浓度为80 g/(m3.h)、3 000 mg/m3的条件下获得了稳定在98%以上的去除效率;对比2种填料对启动阶段的影响,在较低负荷下(≤80 g/(m3.h))对系统的启动时间和去除效率没有显著影响。     

Advances in understanding ozone impact on forest trees: Messages from novel phytotron and free-air fumigation studies

Recent evidence from novel phytotron and free-air ozone (O₃) fumigation experiments in Europe and America on forest tree species is highlighted in relation to previous chamber studies. Differences in O₃ sensitivity between pioneer and climax species are examined and viewed for trees growing at the harsh alpine timberline ecotone. As O₃ apparently counteracts positive effects of elevated CO₂ and mitigates productivity increases, response is governed by genotype, competitors, and ontogeny rather than species per se. Complexity in O₃ responsiveness increased under the influence of pathogens and herbivores. The new evidence does not conflict in principle with previous findings that, however, pointed to a low ecological significance. This new knowledge on trees' O₃ responsiveness beyond the juvenile stage in plantations and forests nevertheless implies limited predictability due to complexity in biotic and abiotic interactions. Unravelling underlying mechanisms is mandatory for assessing O₃ risks as an important component of climate change scenarios.     

我国自然灾害类应急预案评价方法研究(Ⅰ):完备性评价

从自然灾害类应急预案着手,采用故障树分析方法(FTA)对其完备性进行评价。通过建立自然灾害类应急预案的标准故障树,确定各基本事件的权重,并将待评价应急预案的基本事件与标准故障树进行对比,进而得到其需要加强和完善的薄弱环节,并从量化的角度出发得到待评价应急预案的不完备度。最后,采用上述方法分析一个实际的地质灾害应急预案,对该应急预案的完备性进行评价,最终确定其需要加强和完善的方面,为制定或修订应急预案提供参考。     

公路隧道事故预防分析

探讨了公路隧道交通事故的特点和主要影响因素,采用事故树分析法对可能导致隧道火灾事故的因素进行了分析,得出在隧道内减少可燃烧物品数量和采用阻燃或不燃物品做内装饰是降低隧道火灾发生概率的有效措施,并提出了预防公路隧道交通事故和火灾的具体对策.     

Subjective modeling choices and the robustness of impact evaluations in conservation science

Arbitrary modeling choices are inevitable in scientific studies. Yet, few empirical studies in conservation science report the effects these arbitrary choices have on estimated results. I explored the effects of subjective modeling choices in the context of counterfactual impact evaluations. Over 5000 candidate models based on reasonable changes in the choice of statistical matching algorithms (e.g., genetic and nearest distance mahalanobis matching), the parametrization of these algorithms (e.g., number of matches), and the inclusion of specific covariates (e.g., distance to nearest city, slope, or rainfall) were valid for studying the effect of Virunga National Park in Democratic Republic of the Congo on changes in tree cover loss and carbon storage over time. I randomly picked 2000 of the 5000 candidate models to determine how much and which subjective modeling choices affected the results the most. All valid models indicated that tree cover loss decreased and carbon storage increased in Virunga National Park from 2000 to 2019. Nonetheless, the order of magnitude of the estimates varied by a factor of 3 (from −4.78 to −13.12 percentage points decrease in tree cover loss and from 20 to 46 t Ce/ha for carbon storage). My results highlight that modeling choices, notably the choice of the matching algorithm, can have significant effects on point estimates and suggest that more structured robustness checks are a key step toward more credible findings in conservation science.     

A Gis‐Based Approach to Watershed Classification for Nebraska Reservoirs1

Abstract: The U.S. Environmental Protection Agency is charged with establishing standards and criteria for assessing lake water quality. It is, however, increasingly evident that a single set of national water quality standards that do not take into account regional hydrogeologic and ecological differences will not be viable as lakes clearly have different inherent capacities to meet such standards. We demonstrate a GIS‐based watershed classification strategy for identifying groups of Nebraska reservoirs that have similar potential capacity to attain a certain level of water quality standard. A preliminary cluster analysis of 78 reservoirs was performed to determine the potential number of Nebraska reservoir groups. Subsequently, a Classification Trees method was used to refine number of classes, describe the structure of reservoir watershed classes, and to develop a predictive model that relates watershed conditions to reservoir classes. Results suggest that Nebraska reservoirs can be represented by nine classes and that soil organic matter content in the watershed is the most important single variable for segregating the reservoirs. The cross‐validation prediction error rate of the Classification Tree model was 26.3%. Because all geospatial data used in this work are available nationally, the method could be adopted throughout the U.S. Hence, this GIS‐based watershed classification approach could provide water resources managers an effective decision‐support tool in managing reservoir water quality.