首页> 外文会议>International Conference of Computational Methods in Sciences and Engineering 2005 >Odor Fingerprinting/Monitoring within a Processing Industry Environment by Means of Distributed Biosensors - The Case of Oil Refineries
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Odor Fingerprinting/Monitoring within a Processing Industry Environment by Means of Distributed Biosensors - The Case of Oil Refineries

机译:通过分布式生物传感器的加工行业环境中的气味指纹/监测 - 石油炼油厂的情况

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The escalating public concern about odor pollution prompts the efforts to establish control programmes in many countries. In practice, controlling odorants is a very complex problem: sources and emissions have to be identified, analytical methods have to be evaluated, risks have to be assessed, critical emissions have to be controlled, and economical aspects have to be integrated. This-paper addresses odor monitoring through a holistic approach, involving odor fingerprinting, source identification and remedial activities to reduce emissions in facility design and operation, through a biosensor network and an effective communications between the offending facility and those groups that may be negatively impacted by odors. Biomonitoring is realized through a suitable developed computer-aided selection program, that, considering the odorous mixture and its source, is almost tailor-made for the specific needs at hand in order to minimize uncertainty and monitoring costs and increase reliability of odor control and abatement. The response of a range or array of sensors can be monitored through separate temporal and/or spatial Geographical Information System (GIS) layers and subsequently correlated by means of a relational database, so that odor levels can be recorded either systematically or as function of time and/or space. Significantly, a novel system in the form of a rational framework at the conceptual design level has been developed, that actually contributes towards achieving a cost-effective long-term monitoring program, with the flexibility to counter on-course any (anticipated or not) variations/modifications of the surveillance environment. The advantages of this novel and pioneering approach will further offer a dynamic system utilized in (a) odor impact studies and risk assessment (positive/analytic approach), (b) decision-making in the short-run (normative/tactic approach), and (c) policymaking in the long-run (normative/strategic approach).
机译:关于恶臭污染的加剧公众关注促使建立在许多国家控制计划的努力。在实践中,控制增味剂是一个非常复杂的问题:源和排放必须被识别,分析方法必须进行评估,风险必须加以评估,临界排放必须被控制,并且经济方面必须集成。此纸的气味通过的整体方法监测,涉及气味指纹,源识别和补救活动,以减少在设施的设计和操作的排放,通过生物传感器网络和冒犯设施和那些可以通过受到负面影响组之间的有效通信地址气味。生物监测是通过一个合适的发达计算机辅助选择程序来实现的,即,考虑到气味混合物和它的来源,是几乎量身定做手边的特定需要,以减少气味控制和减少的不确定性和监测成本和增加可靠性。的范围或传感器阵列的响应可通过单独的时间和/或空间的地理信息系统(GIS)的层通过关系数据库的装置来监测和随后相关,使得气味水平可以被记录或者系统性地或作为时间的函数和/或空间。显著,在概念设计水平合理的框架形式新颖的系统已经开发,实际上有助于趋向于实现具有成本效益的长期监测方案,灵活地柜台,当然,任何(预期或没有)变化/监视环境的修改。这种新颖的和开拓性的优势将进一步提供在使用动态系统(一)气味影响的研究和风险评估(正/分析法),(二)决策在短期内(标准/战术的方法), (三)在长期(标准/战略方针)政策出台。

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