Accounting for averaging time in air pollution modeling |
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| Institution: | 1. Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O.B 15159, Rishon LeZion 7528809, Israel;2. Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, The Volcani Center, P.O.B 15159, Rishon LeZion 7528809, Israel;3. Mop Darom, Besor Experimental Station, Mobile Post 4, 85400, Israel;4. HIT – Holon Institute of Technology, POB 305, Holon 58102, Israel;1. National Atmospheric Research Laboratory, Gadanki 517112, India;2. Government College (Autonomous), Rajahmundry 533105, India;3. Department of Physics, Andhra University, Visakhapatnam 530003, India;1. New Jersey Innovation Institute, Newark, NJ, United States;2. Thermal Measurements LLC, Fort Worth, TX, United States;1. School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, China;2. State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China;3. Shenzhen Institute of Building Research Co., Ltd, Shenzhen, China |
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| Abstract: | This paper examines the validity of a commonly used expression to estimate concentrations for averaging times that are much smaller than that corresponding to the model estimate. These “peak” concentrations, which can be several times larger than the model estimate, are required in applications such as odor assessment. We show that this expression cannot be justified, and that information on short-term concentrations is only contained in the probability distribution of time-averaged concentrations. The paper proposes a simple model of concentration time series to examine the effect of averaging time on concentration probability distributions. The results from the model are compared with previous theoretical and experimental studies. |
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