智能控制在污水处理系统中的应用

针对污水处理系统的时变性、非线性、复杂性和不确定性的特点,提出应用人工智能技术对其进行控制,实现污水处理系统自动控制.对智能控制的主要分支模糊控制、神经网络控制和专家系统进行了分析,并对国内外专家学者将智能控制用于污水处理的概况进行了总结.结果表明:在污水处理中引入智能控制是一种提高处理效率、降低运行成本的有效方法.     

岩爆倾向性的改进有限云评价模型与工程应用

为解决深部开采顶板岩爆评价问题,以挑水河磷矿为例,提出由3个岩爆倾向性评价指标e0/ec、e1/ec、ec/et组成的综合性评价指标体系,采用消除云雾化的综合权重法,建立顶板多指标岩爆倾向性的改进有限云评价模型;通过FLAC3D模拟计算采场的应力值,获得e0/ec、e1/ec、ec/et的参数值;开展挑水河磷矿顶板岩爆...     

景区夜游密集人群踩踏事件情景下脆弱性分析

为深入分析城市景区夜游密集人群易发生踩踏事件的脆弱性成因问题,运用人—环境耦合系统全面分析人群脆弱性模型三因子:暴露性、敏感性和适应性.依据现行标准规范与调查问卷筛选脆弱性指标,在博弈思想组合主客观权重的基础上,构建组合赋权-云模型的脆弱性综合评价模型.以大雁塔休闲旅游景区为实例,运用云算法得到各层指标的评价云图,与标...     

湛江某海上风电桩基局部冲刷特征研究

海上风电场桩基局部冲刷是工程设计与运行阶段的重要参数之一。基于湛江某海上风电场桩基3次现场局部冲刷实测数据,进行冲刷坑最大深度、冲刷坑半径和冲淤变化特征的分析与研究;根据桩基局部冲刷经验公式,采用工程海域实测海洋水文动力学数据进行最大冲刷深度与冲刷半径的计算,并进行公式计算值的对比与分 析。结果表明:桩基础在防冲刷设施的保护下,3次实测最大冲刷深度基本稳定为4.0 m,最大冲刷深度与桩径之比为0.57。而经验公式的最大冲刷深度与桩径之比均超过了1.1,说明桩基防冲刷设施取得了一定的效果,冲刷坑半径的计算值与现场实测值吻合较好。建议海上风电场在运行阶段进一步加强桩基冲刷坑监测与防护。     

Applications of dust explosion hazard and disaster prevention technology

Powdered materials are widely used in industrial processes, chemical processing, and nanoscience. Because most flammable powders and chemicals are not pure substances, their flammability and self-heating characteristics cannot be accurately identified using safety data sheets. Therefore, site staff can easily underestimate the risks they pose. Flammable dust accidents are frequent and force industrial process managers to pay attention to the characteristics of flammable powders and create inherently safer designs.This study verified that although the flammable powders used by petrochemical plants have been tested, some powders have different minimum ignition energies (MIEs) before and after drying, whereas some of the powders are released of flammable gases. These hazard characteristics are usually neglected, leading to the neglect of preventive parameters for fires and explosions, such as dust particle size specified by NFPA-654, MIE, the minimum ignition temperature of the dust cloud, the minimum ignition temperature of the dust layer, and limiting oxygen concentration. Unless these parameters are fully integrated into process hazard analysis and process safety management, the risks cannot be fully identified, and the reliability of process hazard analysis cannot be improved to facilitate the development of appropriate countermeasures. Preventing the underestimation of process risk severity due to the fire and explosion parameters of unknown flammable dusts and overestimation of existing safety measures is crucial for effective accident prevention.     

Industrial system for mitigation of vapor cloud explosions

The oil industry operates installations and processes with important quantities of flammable substances within a wide range of pressures and temperatures. A particular hazard for this type of installations is an accidental release of a large quantity of flammable material resulting in a devastating vapor cloud explosion.Extensive research was conducted to assess the efficiency of chemicals for inhibition of flames. Especially alkali metal compounds (especially carbonates and bicarbonates of sodium and potassium) have shown to be one of the more efficient flame inhibitor species.In this paper, the principles of flame inhibition by alkali metal compounds are briefly explained. Based on these principles, a practical implementation of an industrial system for chemical inhibition of vapor cloud explosions is discussed. This implementation is based on the use of dry powders of carbonates and bicarbonates of sodium and potassium as flame inhibitor species.The efficiency of the final design of the inhibition system was tested and confirmed on a very large scale in Vapor Cloud Explosion tests in California (US) in September 2016. Several projects in TOTAL were identified in which the VCE inhibition technology is implemented (new cracker units in Daesan (South-Korea) and in Port Arthur (United States)).     

Impact of Cloud on Net Ecosystem CO2 Exchange of Alpine Meadow in Tibetan Plateau

Meteorological elements and CO2 fluxes over alpine meadow ecosystem were observed continuously from 2004 to 2005in Damxung Alpine Meadow Flux Station,China Flux Network.Based on the eddy covariance CO2 fluxes and meteorological data obtained,the relationships among the CO2 fluxes,the cloud amount,and the meteorological factors in alpine meadow ecosystem were explored and analyzed.Some conclusions can be drawn from the discussion with previous researches as following:(1)the cloud amount can affect the net ecosystem CO2 exchange(NEE)of alpine meadow on Tibetan Plateau;(2)the soil temperature sensitive to the cloud amount,is a major environmental controlling factor for NEE,and closely relates to the maximum of NEE.In the morning period with large cloud amount,the NEE reaches its maximum when the clearness index ranges from 0.5 to 0.7; yet in the afternoon it comes to the maximum with the index from 0.2 to 0.35.The span of soil temperature covers from 12 to 15℃ as the NEE at its highest;(3)the scatterplots between NEE and photosynthetic available radiation(PAR)was a significant inverse triangle in the clear day,two different kinds of concave curves in the cloudy day,and strongly convergent rectangular hyperbola in the overcast day.These differences were controlled by the changes of light radiation and soil temperature.     

利用有效微生物菌群控制蓝藻水华研究

蓝藻水华污染在我国和世界都呈现迅猛的发展趋势,如何治理是环境科学研究领域的热点。2008年7～8月在北京市延庆县妫水湖的现场围隔水体中,通过投加筛选和培养土著有效微生物菌群(EM菌),对控制蓝藻水华污染形成的效果进行研究。结果表明,与对照相比,投加EM菌不仅可以控制蓝藻水华的暴发,使蓝藻生物量降低70%以上,而且可以快速降低水体中的氮和磷浓度,因此,明显控制了蓝藻水华的形成,在治理湖泊蓝藻水华污染方面具有重要的应用前景。     

双侧破裂模型对地震动空间相关性影响的远场分析

根据震源理论,将由双侧破裂模型计算得到的场地Fourier谱,等价表述为从初始破裂点沿两个相反方向破裂的单侧破裂模型独立计算到的相同场地Fourier谱,以相对长度为权重的线性组合。据此,在远场假定下,得到了双侧破裂模型刻画地震动场分布的两个重要复变参数α1和α2,以及由它们确定场的孔径的解析表达式。最后,以一次地震为例,计算了α1和α2的实部和虚部,以及孔径随震中距、方位角和频率变化的三维图像。     

水样中常见金属离子的快速测定

研究了用高效毛细管电泳对自来水水样中常见金属离子的快速测定方法。结果表明,K+、Na+、Li+、Ca2+、Mg2+、Ba2+、Sr2+7种离子在8 min内可全部分离,回收率为98.0%~103.3%。峰面积和迁移时间的相对标准偏差分别在3.2%和1.1%以下,重现性较好,具有较高的检测灵敏度。