Real-time Wind Predictions for Safe Drone Flights in Toronto

2019 Nex, 2014, UAV for 3D mapping applications: a review, Appl. Geomatics, 6, 1, 10.1007/s12518-013-0120-x Chamberlain, 2017 Mohammed, 2014, UAVs for smart cities: opportunities and challenges, 267 Boccardo, 2015, UAV deployment exercise for mapping purposes: evaluation of emergency response applications, Sensors, 15, 15717, 10.3390/s150715717 Haidari, 2016, The economic and operational value of using drones to transport vaccines, Vaccine, 34, 4062, 10.1016/j.vaccine.2016.06.022 Besada, 2018, Drone mission definition and implementation for automated infrastructure inspection using airborne sensors, Sensors, 18, 1170, 10.3390/s18041170 Richman, 2017 Barkham, 2018 de Melo, 2017, Applicability of unmanned aerial system (UAS) for safety inspection on construction sites, Saf. Sci., 98, 174, 10.1016/j.ssci.2017.06.008 Singireddy, 2018, 387 Khazan, 2016 Scott, 2017 Howarth, 2014 Pepitone, 2015 Hackman, 2017, Drone delivers medicine to rural Virginia clinic, Wall St. J. Alini, 2019 Walker, 2020 Preimesberger, 2016 Yelun, 1993 Akhtar, 2012, Real-time optimal techniques for unmanned air vehicles fuel saving, Proc. IME Part G J. Aero. Eng., 226, 1315, 10.1177/0954410011418881 Loosli, 2019 Aerossurance, 2019 Nanowski, 2019 Ricci, 2020 Hunter, 1990, Modelling air flow regimes in urban canyons, Energy Build., 15, 315, 10.1016/0378-7788(90)90004-3 Oke, 1998, Street design and the urban canopy layer climate, Energy Build., 11, 103 Baik, 1999, A numerical study of flow and pollutant dispersion characteristics in urban street canyons, J. Appl. Meteorol., 38, 1249, 10.1175/1520-0450(1999)038<1249:ANSOTE>2.0.CO;2 Kovar-Panskus, 2002, Influence of geometry on the mean flow within urban street canyons: a comparison of wind tunnel experiments and numerical simulations, Water Air Soil Pollut., 2, 365, 10.1023/A:1021308022939 Kovar-Panskus, 2002, Influence of geometry on the mean flow within urban street canyons: a comparison of wind tunnel experiments and numerical simulations, Water Air Soil Pollut., 2, 365, 10.1023/A:1021308022939 Kastner-Klein, 2004, The influence of street architecture on flow and dispersion in street canyons, Meteorol. Atmos. Phys., 87, 121 Boris, 2005, Dust in the wind: challenges for urban aerodynamics Britter, 2003, Flow and dispersion in urban areas, Annu. Rev. Fluid Mech., 469, 10.1146/annurev.fluid.35.101101.161147 Galway, 2012, Development and implementation of an urban wind field database for aircraft flight simulation, J. Wind Eng. Ind. Aerod., 103, 73, 10.1016/j.jweia.2012.02.010 Counihan, 1967, Simulation of an adiabatic urban boundary layer in a wind tunnel, Atmos. Environ., 7, 673, 10.1016/0004-6981(73)90150-9 Sorbjan, 1982, Some numerical urban boundary-layer studies, Boundary-Layer Meteorol., 22, 481, 10.1007/BF00124707 Hildebrand, 1984, Urban effects on the convective boundary layer, J. Atmos. Sci., 41, 76, 10.1175/1520-0469(1984)041<0076:UEOTCB>2.0.CO;2 Martilli, 2002, Numerical study of urban impact on boundary layer structure: sensitivity to wind speed, urban morphology, and rural soil moisture, J. Appl. Meteorol., 41, 1247, 10.1175/1520-0450(2002)041<1247:NSOUIO>2.0.CO;2 Baskaran, 1996, Investigation of air flow around buildings using computational fluid dynamics techniques, Eng. Struct., 18, 861, 10.1016/0141-0296(95)00154-9 Zhang, 1996, A comparison of numerical and physical modeling of stable atmospheric flow and dispersion around a cubical building, Atmos. Environ., 30, 1327, 10.1016/1352-2310(95)00326-6 Lakehal, 1997, Calculation of the flow past a surface mounted cube with two-layer turbulence models, J. Wind Eng. Ind. Aerod., 67, 65, 10.1016/S0167-6105(97)00063-9 Chang, 2001, Numerical and physical modeling of bluff body flow and dispersion in urban street canyons, J. Wind Eng. Ind. Aerod., 89, 1325, 10.1016/S0167-6105(01)00129-5 Lien, 2004, Numerical modelling of the turbulent flow developing within and over a 3d building array, part 1: a high-resolution Reynolds averaged Navier–Stokes approach, Boundary-Layer Meteorol., 112, 427, 10.1023/B:BOUN.0000030654.15263.35 Patnaik, 2005, Large scale urban simulations with FCT, Sci. Comput., 105 Mirzaei, 2013, Dynamical computational fluid dynamics modeling of the stochastic wind for application of urban studies, Build. Environ., 70, 161, 10.1016/j.buildenv.2013.08.014 Tominaga, 2013, CFD simulation of near-field pollutant dispersion in the urban environment: a review of current modeling techniques, Atmos. Environ., 79, 716, 10.1016/j.atmosenv.2013.07.028 Ramponi, 2015, CFD simulation of outdoor ventilation of generic urban configurations with different urban densities and equal and unequal street widths, Build. Environ., 92, 152, 10.1016/j.buildenv.2015.04.018 Elshaer, 2017, Variations in wind load on tall buildings due to urban development, Sustain. Cities Soc., 34, 264, 10.1016/j.scs.2017.06.008 Hu, 2005, Using a CFD approach for the study of street-level winds in a built-up area, Build. Environ., 40, 617, 10.1016/j.buildenv.2004.08.016 Mochida, 2008, Prediction of wind environment and thermal comfort at pedestrian level in urban area, J. Wind Eng. Ind. Aerod., 96, 1498, 10.1016/j.jweia.2008.02.033 Blocken, 2012, CFD simulation for pedestrian wind comfort and wind safety in urban areas: general decision framework and case study for the Eindhoven University campus, Environ. Model. Software, 30, 15, 10.1016/j.envsoft.2011.11.009 Cui, 2019, Particle image velocimetry measurement and CFD simulation of pedestrian level wind environment around U-type street canyon, Build. Environ., 154, 10.1016/j.buildenv.2019.03.025 Weerasuriya, 2020, 102146 Chen, 2021, Run-time and statistical pedestrian level wind map for downtown Toronto, Front. Built Environ., 7, 10.3389/fbuil.2021.603836 Yoshie, 2007, Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan, J. Wind Eng. Ind. Aerod., 1551, 10.1016/j.jweia.2007.02.023 Blocken, 2013, CFD simulation of pedestrian-level wind conditions around buildings: past achievements and prospects, J. Wind Eng. Ind. Aerod., 121, 138, 10.1016/j.jweia.2013.08.008 Aly, 2014, Atmospheric boundary-layer simulation for the built environment: past, present and future, Build. Environ., 75, 206, 10.1016/j.buildenv.2014.02.004 Meroney, 1999, Wind-tunnel and numerical modeling of flow and dispersion about several building shapes, J. Wind Eng. Ind. Aerod., 81, 333, 10.1016/S0167-6105(99)00028-8 Smith, 2001, Simulations of flow around a cubical building: comparison with towing-tank data and assessment of radiatively induced thermal effects, Atmos. Environ., 35, 3811, 10.1016/S1352-2310(01)00177-7 Adamek, 2017, Pedestrian level wind assessment through city development: a study of the financial district in Toronto, Sustain. Cities Soc., 35, 178, 10.1016/j.scs.2017.06.004 Aboshosha, 2015, Consistent inflow turbulence generator for LES evaluation of wind-induced responses for tall buildings, J. Wind Eng. Ind. Aerod., 198, 10.1016/j.jweia.2015.04.004 Orr, 2005, Framework for developing and evaluating MAV control algorithms in a realistic urban setting, vol. 6, 4096 Galway, 2008, Modeling of the urban gust environment with application to autonomous flight Galway, 2011, Modeling of urban wind field effects on unmanned rotorcraft flight, J. Aircraft, 48, 1613, 10.2514/1.C031325 Ware, 2016, An analysis of wind field estimation and exploitation for quadrotor flight in the urban canopy layer, 1507 Toronto City Planning, 2021 ESDU 01008, 2010 Deaves, 1978, vol. 76, 49 Aboshosha, 2016, Towards a robust wind tunnel based evaluation of extreme wind loads, 26 Prandtl, 1935, 1 Shih, 1995, A new k-ε eddy viscosity model for high Reynolds number turbulent flows, Comput. Fluids, 24, 227, 10.1016/0045-7930(94)00032-T Wang, 2006 Blocken, 2008, Numerical evaluation of pollutant dispersion in the built environment: comparisons between models and experiments, J. Wind Eng. Ind. Aerod., 96, 1817, 10.1016/j.jweia.2008.02.049 Lateb, 2010, Numerical simulation of pollutant dispersion around a building complex, Build. Environ., 45, 1788, 10.1016/j.buildenv.2010.02.006 Blocken, 2007, CFD simulation of the atmospheric boundary layer: wall function problems, Atmos. Environ., 41, 238, 10.1016/j.atmosenv.2006.08.019 Richards, 1993, Appropriate boundary conditions for computational wind engineering models using the k-ε turbulence model, J. Wind Eng. Ind. Aerod., 46, 145, 10.1016/0167-6105(93)90124-7 Government of Canada, 2020 Dark Sky API