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.     

采油厂化验室危险因素及对策

针对采油厂化验室的特点,对其存在的危险有害因素,从火灾爆炸、中毒、腐蚀、触电、机械伤害、人员、储存场所等方面进行了较为系统的分析,并提出了相应的对策措施。     

国外自然环境试验站网管理现状分析

介绍了国外自然环境试验站网及其管理技术概况,分析了国外军用和民用自然环境试验站网的共同点和差异。结果表明,国外的自然环境试验站网近几年有不断扩大的趋势,同时重点在我国周边布局;国防自然环境试验被发达国家看成军队乃至国家的宝贵财富,通过财政和政策等手段给予支持,同时鼓励军民两用。站网管理的主要手段有认证认可、优化配置、充分利用软硬件、注重标准化、加强宣传、开展合作等。     

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。     

某型固体继电器储存性能退化规律研究

选用某型固体继电器在A、B、c、D等4地开展了为期131个月的库房储存试验,跟踪测试了其性能参数。应用F-检验和T-检验对其性能参数的测试数据进行了分析研究,结果表明储存131个月后,输入电流和输出接通电阻在4地有显著性的变化。通过研究4地试验样品性能参数的退化量,结果表明所有性能参数中输出接通电阻的退化量最大;4地相比,C地试验样品的输出接通电阻的退化量是最大的,A地试验样品的输出接通电阻的退化量是最小的。因此,A地最适合该型固体继电器的储存。     

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.