Algorithmes d’optimisation pour la surveillance et l’estimation de la pollution de l’air

الموضوعات

علوم تطبيقية وتكنولوجية

روابط وملفات

التعريف والنوع

رقم الوثيقة

0f3862b7-7b5d-4713-9fbd-10598fe3d4c7

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل دكتوراة

نوع الملف

pdf text

أسماء الملفات

860938_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Anton Sokolov","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Hervé Delbarre","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Khaoula Karroum","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Mohamed El Haziti","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Yann Ben Maissa","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

French

المصدر والدورية

اسم المصدر

Algorithmes d’optimisation pour la surveillance et l’estimation de la pollution de l’air

المحتوى والصفحات

عدد الصفحات

0

ترجمة الملخص

The implementation of an air quality monitoring system requires taking in consideration complex meteorological phenomena, sources of emission and limitations drawn by the costly equipment. The three main contributions made by this thesis regarding monitoring and estimation of air pollution are: a review of techniques for estimating air quality, influence of air pollution’s spatial and temporal variability on precision of interpolation methods, and a suggestion for a possible optimization of Dunkirk air quality monitoring network. Firstly, we did a bibliographic synthesis on Air Quality Modeling techniques, detailing their advantages and limits in studying air pollution. Then, we estimated air pollution in the Hauts-de-France region by means of spatial interpolation methods. We proposed an optimization of Inverse distance Weighting (IDW) interpolation technique that allows improving the coefficient of determination (R²). The influence of these phenomena was filtered by averaging the PM10 data at different time scales. The best R² obtained corresponded to the 24 hours averaging period, similar to the periodicity of some local weather phenomena such as sea breezes occurring in coastal areas. Furthermore, we suggest an approach to optimize the network of measurement stations in Dunkirk that minimizes root-mean-square error of air pollution estimation obtained by IDW interpolation using data of ADMS (Atmospheric Dispersion Modeling System) and the Gaussian plume model. It was shown that the optimized configuration allows obtaining better PM10 concentration estimations compared to the real deployed measuring stations network of ATMO. Actual ATMO stations are located near the emission sources, while for the resulting topology of stations optimization on diffuse sources pollution (ADMS) stations were scattered throughout the region, and for point source pollution (Gaussian plume) stations surrounded the emission source. Finally, a reliable and efficient approach was proposed for improving the accuracy of estimation of air pollution in an area of special interest.

كلمات الباحثين

Scices de l’ingénieur .other Scices de l’ingénieur

إشراف وإعداد

الإشراف

Anton Sokolov, Hervé Delbarre, Mohamed El Haziti, Yann Ben Maissa

الإعداد

Khaoula Karroum

الاقتباسات الببليوغرافية