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Article
Design and Simulation of Exhaust Pollution Monitoring Sensor Based on Photonic Crystal Fiber

Authors: Aseel I. Mahmood --- Shehab A. Kadhim --- Nadia F. Muhammad
Journal: Al-Mustansiriyah Journal of Science مجلة علوم المستنصرية ISSN: 1814635X Year: 2018 Volume: 29 Issue: 3 ICSSSA 2018 Conference Issue Pages: 1-6
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Many critical issues appear due to the exhaust gases from transportations facilities, electric generators, industries, and so on. This lead to air pollution, which could be define as an introduction of biological materials or chemicals that’s causes harm to all living organism including humans. Also damaging the environment of earth. The principal gases that cause air pollution from these sources are nitrogen oxides (NO, NO2 and N2O) and carbon oxides (CO and CO2). There is a need to develop sensors that are characterized by highly-sensitive and miniaturize that capable of real-time analyses detection; optical fiber sensors agree with these needs. In this work, Large Mode Area- Polarization Maintaining Photonic Crystal Fiber (LMA-PM-PCF) for exhaust gases monitoring have been proposed to detect air-polluted gases over a wide transmission band covering (1µm) to (2µm) wavelength. Different guiding properties had been studied for the infiltrated PCFs. According to simulated results, the high relative sensitivity is obtained for sample infiltrated with CO gas; The higher sensitivity makes this fiber a potential candidate to detect CO that is commonly known as silent killer.

العديد من القضايا الحرجة تظهر بسبب الغازات السامة المنبعثة من عربات النقل ، والمولدات الكهربائية ، والصناعات ، وما إلى ذلك. وهذا يؤدي إلى تلوث الهواء ، والذي يمكن تعريفه على أنه إدخال للمواد البيولوجية أو المواد الكيميائية التي تسبب الضرر لجميع الكائنات الحية بما في ذلك البشر الى الهواء. كما تضر ببيئة الأرض. الغازات الرئيسية التي تسبب تلوث الهواء من هذه المصادر هي أكاسيد النيتروجين (NO ، NO2 و N2O) وأكاسيد الكربون (CO و CO2). لذلك ظهرت الحاجة لتطوير أجهزة تحسس تتميز بدرجة حساسية عالية وتكون صغيرة الحجم والتي من شأنها أن تكون قادرة على الكشف والتحليل في الوقت الحقيقي ؛ أجهزة تحسس المكونة من الألياف البصرية تتفق مع هذه الاحتياجات. في هذا العمل تم اقتراح ألياف الكريستال الضوئية (LMA-PM-PCF) للكشف عن الغازات الملوثة للهواء على نطاق إرسال واسع يغطي (1µm) إلى (2µm). وقد تمت دراسة خصائص إنتشار الضوء فيالـPCF. ووفقاً لنتائج المحاكاة ، تم الحصول على الحساسية النسبية العالية للعينة التي تحتوي على غاز أول أكسيد الكربون ؛ إن الحساسية الأعلى تجعل هذا الألياف مرشحًا محتملاً لاكتشاف CO الذي يعرف باسم القاتل الصامت.


Article
Design and Construction of Differential Optical Absorption Spectroscopy (DOAS) System for NOx Remote Sensing

Authors: Mehdi M. Shellal --- Naseer M. Hadi --- Thamer M. Mohammed
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 5 Part (A) Engineering Pages: 839-846
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Differential Optical Absorption Spectroscopy (DOAS) technique is one of the methods used for measurement, analysis and managing air pollution, studying the chemical properties of trace gases in the atmosphere, identification of critical (peak) values to determine the concentration of trace gases that cause an air pollution in industrial-urban locations, and are used in evaluating criteria of photochemical or smog pollution cases of fewer days, and in analysis of wind directions. According to these issues the (DOAS) technique has been developed to become one of techniques that have high order in practical performance based on UV-Visible and near infrared region at spectral range of (200-1100nm) wavelength absorption by molecules of gases in atmosphere. The experimental work of this thesis has been focused on calibration of the system with laboratory experiments to detect many atmospheric gases which are nitrogen oxides (NO, NO2 and NO3 radical). DOAS technique is based on the principle of optical absorption by molecule of gas over several meters to many kilometers length, DOAS gives average concentration measurement lead's to general pollution estimation at long distances, and consequently avoids local perturbation events in point's measurements. The DOAS technique provides typical database by using the language of C # compared with results obtained from experimental measurements.

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