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                <term xml:lang="en">noise pollution</term>
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                <term xml:lang="en">parcel delivery</term>
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              <p>To effectively integrate drones into densely populated urban infrastructures, it is crucial to assess their impact on the population's quality of life and mitigate any adverse effects. As noise pollution from drone overflights is a top concern, enhancing our numerical capabilities for predicting VTOL aircraft noise in urban environments is essential. To achieve this goal, we have developed an integrated toolchain comprising three key components: Flight Mechanics, to accurately model aircraft behavior ; Noise Emission at the Source : to quantify the noise generated by the drones and finally Urban Environment Noise Propagation using the open-source tool NoiseModelling. This comprehensive toolchain enables the creation of detailed noise maps for specific drone scenario definitions. This paper presents an application of our toolchain in a parcel delivery scenario, featuring DJI Matrice 600 drones operating over a 11 km² sector of Madrid within a day period, incorporating five distribution centers with varying hourly capacities. The results include a range of informative noise indicators, taking into account noise level, number of flyovers and background noise levels.</p>
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              <p>Pour intégrer efficacement les drones dans les infrastructures urbaines densément peuplées, il est crucial d'évaluer leur impact sur la qualité de vie de la population et d'atténuer tout effet néfaste. Étant donné que la pollution sonore engendrée par les survols de drones constitue une préoccupation majeure, améliorer nos capacités numériques pour prédire le bruit des aéronefs VTOL dans les environnements urbains est essentiel.Pour atteindre cet objectif, nous avons développé une chaîne d'outils intégrée composée de trois principaux éléments : la Mécanique de Vol , pour modéliser avec précision le comportement des aéronefs ; l'Émission de Bruit à la Source , pour quantifier le bruit généré par les drones ; et la Propagation du Bruit en Environnement Urbain en utilisant l'outil open-source NoiseModelling.Cette chaîne d'outils complète permet la création de cartes de bruit détaillées pour des définitions spécifiques de scénarios de drones.Ce document présente une application de notre chaîne d'outils sur un scénario de livraison de colis, basé sur une flotte de drones DJI Matrice 600 opérant au-dessus d'un secteur de 11 km² de Madrid sur une période journalière, avec cinq centres de distribution ayant des capacités horaires variées. Les résultats incluent une gamme d'indicateurs de bruit informatifs, prenant en compte le niveau de bruit, le nombre de survols et les niveaux de bruit de fond.</p>
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