Simulation of short-range diffusion experiment in low-wind convective conditions |
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| Institution: | 1. Centre for Atmospheric Sciences, Indian Institute of Technology, Hauz Khas, Delhi, New Delhi 110016, India;2. Department of Applied Mathematics, Guru Jambheshwar University, Hisar, Haryana 125001, India;1. School of Architecture, Southeast University, 2nd Sipailou Street, Nanjing, 210096, China;2. Urban Institute, ICOSS, 219 Portobello, Sheffield, S1 4DP, United Kingdom;1. New Jersey Institute of Technology (NJIT), Center for Natural Resources Development and Protection, Newark, NJ 07102, United States;2. Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, CO 80523, United States;3. National Research Institute of Science and Technology for Environment and Agriculture, Refrigerating Process Engineering, UR GPAN, Antony 92761, France;4. Université de Sherbrooke, Department of Mechanical Engineering, Sherbrooke, QC J1K 2R1, Canada;1. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari Venezia, Dorsoduro 2137, 30123 Venice, Italy;2. Dipartimento di Fisica e Astronomia “Galileo Galilei”, Università degli Studi di Padova, Via Marzolo 8, 35100 Padua, Italy;3. Laboratori Nazionali di Legnaro, Istituto Nazionale di Fisica Nucleare, Viale dell’Università 2, 35020 Legnaro, Italy |
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| Abstract: | A previously obtained analytical solution to model the short-range dispersion of pollutants in low winds from surface releases has been used to simulate diffusion tests conducted during winter in weakly convective conditions at the Indian Institute of Technology (IIT) Delhi. The turbulence parameterization based on friction velocity has been tested to simulate diffusion experiment. Such a parameterization in this study is considered justifiable on two counts: (1) prevailing meteorological and dispersion conditions have been generally of weakly unstable type as indicated by values of Monin–Obukhov length and bulk Richardson number, (2) uncertainties associated with the application of convective velocity based similarity parameterization to simulation of diffusion experiment at IIT Delhi, resulting in significant underprediction in most of the cases (Atmos. Environ. 30 (1996a) 1137). With this parameterization, the model simulations have improved considerably and compare reasonably well with the observations. Further, the results from a simple Gaussian model have been included for comparison. This study is in continuation of the work done earlier to simulate near-source dispersion in weak winds. |
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