期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
韶关市夏季颗粒物组成特征及消光贡献 被引量:2
1
作者 杨威强 刘剑筠 +9 位作者 廖程浩 李易熹 伍鹏程 李晟 裴成磊 张润琪 欧劼 张艳利 王新明 张永波 《分析仪器》 CAS 2021年第6期112-121,共10页
为探究韶关市夏季细颗粒物(PM_(2.5))组成及其光学特征,本研究于2020年7~8月在韶关市郊区采集PM_(2.5)样品,分析了水溶性离子及碳质组分的浓度水平。研究结果表明,观测期间韶关市PM_(2.5)平均质量浓度为(24.9±8.4)μg/m^(3);OM、SO... 为探究韶关市夏季细颗粒物(PM_(2.5))组成及其光学特征,本研究于2020年7~8月在韶关市郊区采集PM_(2.5)样品,分析了水溶性离子及碳质组分的浓度水平。研究结果表明,观测期间韶关市PM_(2.5)平均质量浓度为(24.9±8.4)μg/m^(3);OM、SO_(4)^(2-)、EC、NH+4和NO_(3)^(-)是PM_(2.5)的主要组分,对PM_(2.5)质量浓度的贡献分别为46.3%、19.7%、6.0%、4.4%和4.0%。SOR和NOR值分别为0.34和0.05,大气中SO_(2)的二次转化率大于NO_(2)。NO_(3)^(-)/SO_(4)^(2-)平均值为0.22±0.08,表明燃煤可能是本地PM_(2.5)的主要来源。使用IMPROVE方法计算观测期间大气消光系数平均值为173±76 Mm^(-1),(NH_(4))_(2)SO_(4)和OM是对消光系数贡献较大的组分,贡献率分别为38.8%和33.1%;非清洁时段(NH_(4))_(2)SO_(4)和OM的散射系数分别是清洁时段的2.4倍和2.7倍,且增幅高于其他组分。因此,进一步降低(NH_(4))_(2)SO_(4)、OM等重要组分浓度成为持续降低韶关市PM_(2.5)质量浓度,提高大气能见度的关键。 展开更多
关键词 细颗粒物 组成特征 消光系数 韶关
下载PDF
2D DIGITAL SIMPLIFIED FLOW VALVE 被引量:11
2
作者 RuanJian lisheng +3 位作者 PeiXiang BurtonR UkrainetzP BitnerD 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2004年第2期311-314,共4页
The 2D digital simplified flow valve is composed of a pilot-operated valvedesigned with both rotary and linear motions of a single spool, and a stepper motor under continualcontrol. How the structural parameters affec... The 2D digital simplified flow valve is composed of a pilot-operated valvedesigned with both rotary and linear motions of a single spool, and a stepper motor under continualcontrol. How the structural parameters affect the static and dynamic characteristics of the valve isfirst clarified and a criterion for stability is presented. Experiments are designed to test theperformance of the valve. It is necessary to establish a balance between the static and dynamiccharacteristics in deciding the structural parameters. Nevertheless, it is possible to maintain thedynamic response at a fairly high level, while keeping the leakage of the pilot stage at anacceptable level. One of the features of the digital valve is stage control. In stage control thenonlinearities, such as electromagnetic saturation and hysteresis, are greatly reduced. To a largeextent the dynamic response of the valve is decided by the executing cycle of the control algorithm. 展开更多
关键词 Digital control Flow valve Two motion of spool Stage control
下载PDF
2D SIMPLIFIED SERVO VALVE 被引量:6
3
作者 lisheng RuanJian +1 位作者 BurtonR UkrainetzP 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2003年第2期132-135,共4页
A novel pilot stage valve called simplified 2D valve, which utilizes bothrotary and linear motions of a single spool, is presented. The rotary motion of the spoolincorporating hydraulic resistance bridge, formed by a ... A novel pilot stage valve called simplified 2D valve, which utilizes bothrotary and linear motions of a single spool, is presented. The rotary motion of the spoolincorporating hydraulic resistance bridge, formed by a damper groove and a crescent overlap opening,is utilized as pilot to actuate linear motion of the spool. A criterion for stability is derivedfrom the linear analysis of the valve. Special experiments are designed to acquire the mechanicalstiffness, the pilot leakage and the step response. It is shown that the sectional size of thespiral groove affects the dynamic response and the stiffness contradictorily and is also verysensitive to the pilot leakage. Therefore, it is necessary to establish a balance between the staticand dynamic characteristics in deciding the structural parameters. Nevertheless, it is possible tosustain the dynamic response at a fairly high level, while keeping the leakage of the pilot stage atan acceptable level. 展开更多
关键词 servo valve piloted control dynamic characteristics
下载PDF
Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0
4
作者 WangWei WuGengfeng +3 位作者 ZhangBofeng ZhengZhaobi LiuHui lisheng 《Earthquake Research in China》 2005年第1期43-53,共11页
Knowledge representation is a key to the building of expert systems. The performance of knowledge representation methods directly affects the intelligence level and the problem-solving ability of the system. There are... Knowledge representation is a key to the building of expert systems. The performance of knowledge representation methods directly affects the intelligence level and the problem-solving ability of the system. There are various kinds of knowledge representation methods in ESEP3.0. In this paper, the authors introduce the knowledge representation methods, such as structure knowledge, seismological and precursory forecast knowledge, machine learning knowledge, synthetic prediction knowledge, knowledge to validate and verify certainty factors of anomalous evidence and support knowledge, etc. and propose a model for validation of certainty factors of anomalous evidence. The knowledge representation methods represent all kinds of earthquake prediction knowledge well. 展开更多
关键词 expert system knowledge representation fuzzy associative memory (FAM) certainty factor
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部