Simulation of atmospheric dispersion of airborne effluent releases at a tropical coastal site under sea-breeze circulation and internal boundary layer development
- 5 Downloads
In this study the impact of land–sea breeze circulation and internal boundary layer (IBL) on the atmospheric dispersion of airborne effluent releases at the tropical coastal site Kalpakkam is simulated using mesoscale model WRF and Lagrangian particle dispersion model FLEXPART. Simulations with WRF are conducted for typical days in different seasons, i.e., 3 May 2011 (summer), 20 Sep 2010 and 20 Jun 2011 (southwest monsoon). Two K-based non-local turbulence closures (YSU, ACM) and two TKE-based local closures (MYNN, MYJ) in WRF are tested for simulating the sea breeze and IBL. Observations from a 50-m meteorological tower, GPS Sonde, and a Doppler SODAR are used for validation. Simulations indicate that the synoptic flow largely influences the characteristics of the sea breeze at the site. Results show that the sea breeze is more predominant with early onset and it is characterized by deep inland penetration, strong horizontal and vertical winds and is associated with formation of a deep IBL relative to monsoon with opposing large-scale flow. The YSU non-local diffusion scheme and the higher order local TKE closure (MYNN) simulated the sea breeze and IBL characteristics in good agreement with observations. Dispersion simulations with a hypothetical tracer release using FLEXPART showed relatively high ground-level concentrations during IBL formation in the daytime and during stable off-shore flow condition in the morning time. The coupled mesoscale dispersion model could simulate the plume trajectory and buildup of concentrations during sea-breeze time by realistically simulating the winds and mixed-layer characteristics at the coastal site.
Authors thank Director of IGCAR for support and encouragement in carrying out the study. Authors acknowledge NCEP/NOAA for the public access of GFS analysis/forecasts used in the study. Observations used in study are obtained from RRE project funded by BRNS, DAE. Authors thank the anonymous reviewers for their technical comments which greatly helped to improve the content of the paper.
- Chen F, Pielke R Sr, Mitchell K (2001) Development and application of landsurface models for mesoscale atmospheric models. In: Lakshmi V, Alberston J, Schaaake (eds) Problems and promises. Observation and modeling of the land surface hydrological processes. American Geophysical Union, Washington, pp 107–135Google Scholar
- Fast JD, Easter RC (2006) A Lagrangian particle dispersion model compatible with WRF. In: 7th WRF users’ workshop, NCAR, June 19–22. Boulder, p 6.2Google Scholar
- Janjic ZI (1996) The surface layer in the NCEP Eta model. In: Eleventh conference on numerical weather prediction, Norfolk, VA. American Meteorological Society, Boston, pp 354–355Google Scholar
- Janjic ZI (2002) Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note No. 437Google Scholar
- Lee H, Lee H (2004) Analysis of meteorological characteristics of sea/land breeze in western coastal region. J Korean Soc Urb Environ 4:63–71Google Scholar
- Reche C, Viana M, Moreno T, Querol X, Alastuey A, Pey J, Pandolfi M, Prévôt A, Mohr C, Richard A, Artiñano B, Gomez-Moreno FJ, Cots N (2011) Peculiarities in atmospheric particle number and size-resolved speciation in an urban area in the western Mediterranean: results from the DAURE campaign. Atmos Environ 45:5282–5293CrossRefGoogle Scholar
- Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, Huang XY, Wang W, Powers JG (2008) A Description of the advanced research WRF version 3. NCAR technical note, NCAR/TN-475+STR. Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, BoulderGoogle Scholar
- Srinivas CV, Bagavath Singh A, Venkatesan R, Baskaran R (2011) Creation of benchmark meteorological observations for RRE on atmospheric flowfield simulation at kalpakkam. IGC Report – 213. Indira Gandhi Centre for Atomic Research, Kalpakkam, Tamilnadu, India.Google Scholar
- Xie B, Fung JCH, Chan A, Lau A (2012) Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model. J Geophys Res 117:D12103Google Scholar
- Zhang DL, Anthes RA (1982) A high-resolution model of the planetary boundary layer—sensitivity tests and comparisons with SESAME-79 data. J Appl Meteorol 21:1594–1609. https://doi.org/10.1175/1520-0450(1982)021%3c1594:ahrmot%3e2.0.co;2 CrossRefGoogle Scholar