产业园区外存量工业用地环境准入管控研究—以上海市为例

为探索在新产业布局及发展形势下的产业园区外存量工业用地环境准入分类管控模式,采用空间叠图分析和承载力评估方法,基于“三线一单”分区管控要求对上海市产业园区外存量工业用地的空间布局约束、资源环境承载和环境风险防控进行评估。综合评估结果、新法规要求和规划方向的指引,梳理典型区环境准入管理的试点经验,提出以下建议：生态环境及产业、规划相关部门对产业园区外存量工业用地的现状及规划实施动态排摸;结合各地块资源环境特征、规划发展意向等因素,对不同规划导向的地块实施差异化分类管控;针对近中期保留的产业园区外存量工业用地,通过开展区域环评强化环境准入。

     

关于完善规划环境影响跟踪评价制度的思考

规划环境影响跟踪评价制度是规划环评制度的重要组成部分,完善跟踪评价制度对健全以环境影响评价制度为主体的预防体系具有重要意义。在分析我国规划环境影响跟踪评价制度与实践进展的基础上,系统梳理了现行制度存在的启动情形不明、程序亟待规范、约束力不足等问题,并从按照审查意见要求启动跟踪评价、保障生态环境部门知情权与建议权、强化违反跟踪评价义务的法律后果等方面提出对策建议,为《中华人民共和国环境影响评价法》的修订完善提供参考。

     

华北油田二连分公司蒙古林作业区生态环境质量状况研究

本文选取二连油田蒙古林作业区生态环境质量为研究对象,对该区域内的土地利用／覆盖状况、植被状况、景观类型及其破碎度进行定性、定量研究。结果表明：（1）2008年,该区域土地利用类型主要为有林地、中覆盖度草地、低覆盖度草地、工矿交通建设用地和盐碱地等;工交建设占地明显。（2）该区2008年主要植物群落类型有：克氏针茅＋羊草＋杂类草、克氏针茅＋锦鸡儿＋杂类草、羊草＋针茅＋杂类草等;受到气候变暖等原因影响,小针茅已经在本区广泛分布。（3）该区2008年主要景观类型为针茅＋锦鸡儿草原景观、针茅草原景观、羊草草原景观、林地景观、人工建设区景观和道路景观;景观破碎度较高,人为干扰较为严重。建议相关单位足够重视并采取切实可行的措施,防止本区生态环境恶化。     

地面爆燃式电打火装置在火炬上的应用

介绍了地面爆燃式电打火装置的结构及安装要点,实践表明该装置点火效率高、故障率低、便于检修,非常适合石油化工行业的火炬打火系统。     

安全心理测量技术在安全科学技术中的地位和作用

探讨心理测量在安全科学中的地位和作用,提出将心理测量用于安全科学的必要性,着重论述心理测量运用于安全科学技术领域的可行性和科学性,分析和讨论了安全心理测量在安全领域中的应用前景。     

安全信息学视域下安全舆情演化及引导策略研究

为正确引导和控制负面安全舆情,基于安全信息学与舆情理论,利用事故树分析方法研究安全舆情演化过程,计算负面安全舆情最小割集、最小径集和结构重要度,提出安全舆情引导方法.结果表明:利用最小割集得到负面安全舆情产生原因组合,利用最小径集得到避免负面安全舆情产生最低限度事件组合,通过结构重要度得到系统改进重点及优化顺序;在事故...     

障碍物排列方式对海洋平台蒸气云爆炸的影响

为了了解障碍物排列方式对海洋平台蒸气云爆炸的影响,基于CFD方法建立蒸气云爆炸计算模型,选用国外MERGE项目的系列爆炸实验进行模型验证,提出用于衡量障碍物排列不均匀度的量化参数,针对海洋平台典型结构形式,分析障碍物排列方式对爆炸强度的影响。研究结果表明:蒸气云爆炸后果对于结构排列方式比较敏感,结构障碍物间隔均匀排列的形式造成的爆炸冲击作用最大;在爆炸发展初期阶段,障碍物阻塞程度对超压产生和发展影响更加显著。最后,基于研究结果,给出在海洋平台油气泄漏危险区将管线沿甲板非均匀排列布置等防控建议,为海洋平台蒸气云爆炸安全防控提供理论指导。     

Factors associated with driving under the influence of alcohol

Objective: This study examined the risk factors of driving under the influence of alcohol (DUI) among drivers of specific vehicle categories (DSC). On the basis of this research, the variables related to DUI and involvement in traffic crashes were defined. The analysis was conducted for car drivers, bicyclists, motorcyclists, bus drivers, and truck drivers.

Method: The research sample included drivers involved in traffic crashes on the territory of Serbia in 2016 (60,666). Two types of analyses were conducted in this study. Logistic regression established the correlation between DUI and DSC and the The Technique for Order of Preference by Similarity to Ideal Solution (Multi-criteria decision making) method was applied to consider the scoring and explore the potential for the prevalence of DUI on the basis of 2 data sets (DUI and non DUI).

Results: The study results showed that driver error and male drivers were the 2 most significant risk factors for DUI, with the highest scores and potential for prevalence. The nonuse of restraint systems, driver experience, and driver age are the factors with a significant prediction of involvement in an accident and an insignificant prediction of DUI.

Conclusions: Following the development of the logistic prediction models for DUI drivers, testing of the model was conducted for 3 control driver groups: Car, motorcycle, and bicycle. The prediction model with a probability greater than 50% showed that 77% of car drivers were under the influence of alcohol. Similarly, the prediction percentage for motorcyclists and bicyclists amounted to 71 and 67%, respectively. The recommendation of the study is that drivers whose DUI probability is above 50% should be potentially suspected of DUI. The results of this study can help to understand the problem of DUI among specific driver categories and detect DUI drivers, with the aim of creating successful traffic safety policy.     

Estimation of Cumulative Frequency Distribution for Carbon Monoxide Concentration from Wind-Speed Data, in Buenos Aires (Argentina)

In this article we apply and test a methodology to estimate cumulative frequency distribution for air pollutant concentration from wind-speed data. We use the inverse relationship after Simpson et al. (Atmospheric Environment, 19, 75–82, 1985) between the opposing percentile values in the statistical distributions for air pollutant concentrations and wind-speed data. This relationship is valid, irrespective of the statistical distributions of both variables, if an inverse relationship between them is also applicable. The available data are five years of 8-h average carbon monoxide concentration and 8-h mean wind-speed, observed in Buenos Aires (Argentina). The performance of the obtained empirical expressions in estimating cumulative frequency distributions for 8-h CO is statistically evaluated. The results show that it is possible to obtain an acceptable cumulative frequency distribution for 8-h CO concentration at the site if the cumulative frequency distribution for wind-speed is known. Q–Q plots show a good agreement between estimated and observed values. From our data, the mean relative error of the estimations was found to be as much as 8.0%.     

Effectiveness of resistivity monitoring for interpreting temporal changes in landfill properties

It is always possible for impermeable layers to exist in landfills. When they do, the properties of the solution at the exit of the leachate-collection system might not accurately reflect the overall properties of the landfill. This study examines whether resistivity monitoring is effective for determining the influence of impermeable layers on the leachate. The test cell used in this study was filled with waste made up mainly of incinerator ash and shredded incombustible material. Three lines of resistivity sensors were laid in the uppermost layer of the fill. A resistivity profile was recorded periodically from each of these lines. The water-table level and leachate properties were measured concurrently. Leachate conductivity was mainly controlled by concentrations of the main ions, and it correlated inversely to variations in resistivity. Temporal changes in the resistivity of the fills are an excellent means of assessing the leaching in fills. Monitoring the properties of leachate, combined with resistivity profiling, is extremely useful for interpreting the temporal changes of properties in landfills containing impermeable layers.