水上溢油鉴别体系的研究

溢油鉴别是溢油事故调查处理的重要取证手段,文章介绍了国内外溢油鉴别体系及最新溢油鉴别方法研究情况,对国内主要鉴别方法的特点进行了对比.认为应把这些单一的、孤立的溢油鉴别技术和数据信息处理技术发展成系统的、快速的、能够实现计算机自动比对的、支持溢油应急决策的集成化技术.     

蒙特卡罗方法在危险货物道路运输风险评价中的应用

在概率风险评价的基础上引入蒙特卡罗方法对危险货物道路运输进行风险评价.通过MATLAB软件编程对算例进行模拟试验,结果表明蒙特卡罗方法对危险货物道路运输风险评价具有有效性和合理性,能够得出更加客观的风险评价结果,增强了风险评价的科学性.     

动态渗透压力法研究水处理滤料的润湿性

润湿性是水处理滤料的一个十分重要的表面性质.以Washburn方程为原理,用动态渗透压力法研究了无烟煤、铝矾土陶瓷及磁铁矿滤料的亲油亲水润湿性.实验结果表明,方法的重现性较好,误差在10%以内.当滤料的粒径范围在0.6～0.9mm之间时.以该法测得无烟煤、铝矾土陶瓷及磁铁矿滤料的亲油亲水比(LHR)值依次为2.511、1.748和1.317,说明无烟煤滤料的亲油性最好,铝矾土陶瓷次之,而磁铁矿的亲油性最差.XPS和FTIR分析结果表明,无烟煤、铝矾土陶瓷及磁铁矿滤料润湿性差别主要归因于其表面化学结构的不同.     

钙基脱硫剂孔隙网络动态生成特性

钙基脱硫剂孔隙结构特性直接影响到脱硫效果及脱硫剂的利用率,对其空间网络特性的描述将有助于分析SO2的扩散及反应特性. 在石灰石分解动力学和烧结机理的基础上,结合固体分解的成核机理,运用Monte-Carlo 方法,建立了脱硫剂孔隙网络的动态生成模型,对钙基脱硫剂分解形成的孔隙结构进行了动态模拟,并对生成孔结构的分形特性进行研究.结果表明,运用动态生成模型,可以给出石灰石分解形成的CaO内部孔隙的微观空间结构,且模拟生成的孔隙网络的分形维数与实验测定值基本吻合.     

胞外酶对堆肥中微生物群落演替的影响

研究了添加黄孢原毛平革菌胞外酶对农业废物堆肥中木质纤维素降解及微生物群落演替的影响.结果表明,堆肥初期,胞外酶对微生物生长具有抑制作用,且随堆肥时间的延长逐渐减弱;堆肥后期,胞外酶可提高微生物群落的多样性和均匀性,并促进木质素和半纤维素的大量降解.醌指纹数据显示,胞外酶并未引起新的优势醌的出现,进入高温期后,以MK-7为主要醌类的微生物作为优势菌群,且这种优势一直存在;堆肥后期胞外酶对甲基萘醌影响较大,可促进长链甲基萘醌的出现.主成分分析表明,胞外酶对醌种类演替的影响主要作用在3d和40d,这与非相似性指数结果一致,并使真菌在整个体系中影响力加大.     

典型铝合金在江津自然大气环境中的腐蚀行为研究

通过在我国江津典型工业污染大气环境进行大气暴晒实验,测定了1060纯铝、2A12铝合金和7A04铝合金在该地区的腐蚀速率,利用扫描电子显微镜（SEM）、能量色散X射线谱（EDX）、红外光谱（FT—IR）和X射线衍射仪（XRD）观察分析3种铝合金腐蚀表面形貌、元素分布和腐蚀产物结构。结果表明：随腐蚀时间的延长,铝及其合金腐蚀产物不断增多,失重数值增加,腐蚀失重与时间的关系呈幂函数规律（C—A t^n）;腐蚀产物形貌呈块状或粒状,呈现不均匀的凹凸形貌;腐蚀产物主要为Al（OH）3和Al2（SO4）3·14H2O;耐蚀性能由强至弱依次为1060〉2A12〉7A04。     

The method for leakage detection of urban natural gas pipeline based on the improved ITA and ALO

To solve the problems of the difficulty in early leakage monitoring and larger positioning error for urban hazardous chemicals pipelines, the optimized method based on the improved Inverse Transient Analysis (ITA) and Ant Lion Optimizer (ALO) was proposed. Firstly, based on the obtained experiment's results of leakage of natural gas in the non-metallic pipeline, the segment classification method was incorporated into the pressure gradient calculation. The modified method can adapt to the multi-node characteristics of urban pipe networks and help to obtain the preliminary positioning calculation results after optimization. Then the calculation results were embedded in the ITA calculation model. The input parameters of the gas pipeline such as boundary conditions, leakage rate and friction coefficient were used to establish the characteristic linear equations. Then the objective function of the least-squares criterion was defined, and the improved ITA model suitable for leakage detection of urban natural gas pipeline networks was constructed. Finally, the ALO was used to optimize the calculation process of the improved ITA model, and iteratively optimize the optimal friction coefficient and its corresponding minimum objective function (OF) value. As a result, a more precise location of the leakage source was calculated. The validation of the modified method is conducted by comparing the calculated values with the experiment's results. The results show that the method can accurately predict the location where the pipeline leakage occurs. The minimum error is 3.17%. Compared with the traditional ITA, this method not only accelerates the convergence speed of the objective function, but also improves the accuracy of location calculation.     

基于随机森林的飞机长着陆预警方法

为降低飞机冲出跑道事故造成的人员伤亡和财产损失,以长着陆事件为研究对象,探讨1种有效的长着陆事件预警方法。提出应用随机森林模型对长着陆事件进行预警,给出模型的特征筛选、构建及评价方法,并使用实际飞行数据验证模型有效性。结果表明:基于随机森林的飞机长着陆预警模型精确率为88.41%,召回率为87.14%,模型可以有效对长着陆事件进行预警。     

生产安全领域科研项目成果评价指标与评价方法研究*

为了更全面、更准确地开展生产安全领域科研项目成果的评价工作,以国家对科技成果评价的相关法规与标准为指引,结合生产安全领域科研项目成果的自身特点,基于德尔菲法从“学术与技术水平”、“成果效益”和“成果影响”3个方面构建相应的多层次评价指标体系;结合生产安全领域科研项目成果特点,提出综合采用同行评议法、多维指数评价法、层次分析法、模糊综合评价法和科学计量法的评价方法选择思路,并以Yaahp作为评价方法的配套工具进行实际应用。研究结果可为生产安全领域相关科研项目成果的评价工作提供一套从指标体系到评价方法,从评价方法到评价工具的整体解决方案。     

Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set Method

In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.