- 17 November, 2024
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| Designation: |
Sr.Principal Scientist
|
| Email Id: | tr_krishna[at]neeri[dot]res[dot]in |
| Qualification: |
M.Sc. (Meteorology), Ph.D |
| Specialization: |
Atmospheric Dispersion Modelling and Boundary Layer Meteorology
|
| Address: |
CSIR-NEERI, Hyderabad Zonal Centre, Tarnaka, Uppal Road, Hyderabad-500007
|
| Biodata: |
| Sr. No. | Project Name |
|---|---|
| 1 |
Evaluation of Water ATM's Anytime Water Kiosks Installed In Hyderabad City, Telangana State
|
| 2 |
Comprehensive Groundwater Quality Assessment and Pollution Source Identification using Stable isotopic and Groundwater Modelling studies in and around Chemical Division, GIL, Nagda
|
| 3 |
Feasibility study for installed Piezometric wells in and around Divi's Laboratories Lingojigudem Village, Choutupal Mandal, Telangana
|
| 4 |
Assessment of ground water quality in and around Grasim Industries Limited, Nagda
|
| 5 |
Assessment of Environmental Impacts in and around Kohlar Industrial area, Bidar district, Karnataka
|
| 6 |
Environmental Impact Assessment Studies for Establishment of CETP(s) and Selection of Marine Outfall Location for Discharge of Treated Effluent from Proposed CETP(s)
|
| 7 |
Assessment of Groundwater quality in and around Lanxess unit and Geo-chemical modelling studies for Lanxess India Pvt Ltd., Nagda
"Groundwater quality in and around Lanxess unit and Geo-chemical modelling studies" |
| Sr. No. | Publication Name |
|---|---|
| 1 |
Assessment of Dispersion of Oxide of Nitrogen Using AERMOD over a Tropical Industrial Region
Accurate representation of dispersion of air pollutants is essential for environmental management and planning purposes. In the present study, an attempt has been made to investigate the improvement of pollution dispersion using AERMOD model which includes atmospheric boundary layer processes explicitly. Ranchi region, a fast growing urban city with industries and vehicular pollution in the Jharkhand state of India is chosen. Surface micro-meteorological tower data and upper air radiosonde observations are utilized in the study. Surface boundary layer parameters such as friction velocity and sensible heat flux used as input to AERMOD model are obtained from flux-profile relationships and validated with turbulence measurements. The pollutant concentrations includes industrial as well as vehicular sources predicted by AERMOD are validated with the ambient air quality data of Central Pollution Control Board at Ranchi. Results reveal that AERMOD performed well in representing air pollution dispersion over Ranchi region. |
| 2 |
Sensitivity of PBL Parameterization schemes of Weather Research Forecasting Model and coupling with AERMOD in the dispersion of NOX over Visakhapatnam (India)
An attempt has been made to develop a pre?processor coupler for offline coupling of atmospheric mesoscale model (WRF) with a dispersion model (AERMOD) to estimate the ground level concentrations due to industrial sources over a coastal city, Visakhapatnam, India. To integrate AERMOD in standalone mode, surface and upper meteorological observations and various planetary boundary layer (PBL) parameters with good temporal resolution are required, that are absent for most locations in India. We have developed an integrated WRF?AERMOD modeling system that gets required PBL parameters the pre?processor coupler. Using this model, evaluation of the dispersion of nitrogen oxides (NOX) over Visakhapatnam during summer month with emission inventory of elevated point sources of various industries is conducted. Sensitivity studies of PBL schemes of WRF after validation reveal that the non?local schemes, Yonsei University (YSU) followed by Asymmetric Convective Model version 2 (ACM2), captured well the characteristic variations of surface meteorological variables, vertical atmospheric structure. After validating with monitored air quality data, it is found that the integrated model with YSU followed by ACM2 is good in simulating ground level concentrations of NOX. The present work advocates that the developed modeling system is useful for better assessment of pollution dispersion over coastal regions. © 2015 Curtin University of Technology and John Wiley & Sons, Ltd. |
| 3 |
Sensitivity of PBL Schemes of WRF-ARW Model in Simulating Boundary Layer Flow Parameters for its Application to Air Pollution Dispersion Modelling over a Tropical Station
Mesoscale atmospheric circulations play an important role in the transport of air pollution and local air quality issues. The planetary boundary layer (PBL), the thermo-dymamical structure and the flow field play an important role in air pollution dispersion. Hence, the PBL parameters over Nagpur, India are simulated using the ARW v. 3.6.1 mesoscale model. High-resolution simulations are conducted with triple nested domains having a horizontal resolution of 27, 9 and 3 km, as well as 27 vertical levels by using the 1 × 1° NCEP Final Analysis meteorological fields for initial and boundary conditions. Eight fair-weather days in winter and summer (January and April 2009) with no significant synoptic activity were chosen for the study. Sensitivity experiments of the ARW model were conducted with two non-local (Yonsei University [YSU], and Asymmetric Convective Model v. 2 [ACM2]) and three local turbulence kinetic energy (TKE) closure (Mellor-Yamada Nakanishi and Niino Level 2.5 PBL [MYNN2], Mellor-Yamada-Janjic [MYJ], and quasi-normal scale elimination [QNSE]) turbulence diffusion parameterizations, to study the evolution of PBL parameters and the thermodynamical structure during the study period. After validation of the simulated parameters with the available in situ data, it was revealed that the non-local PBL scheme YSU, followed by local scheme MYNN2, could be able to capture the characteristic variations of surface meteorological variables and the thermodynamical structure of the atmosphere. The present results suggest that PBL schemes, namely YSU and MYNN2, performed better in representing the boundary-layer parameters and are useful for air pollution dispersion studies. |
| Sr. No. | Achievement / Award | Awarded By |
|---|---|---|
| 1 |
Accreditation by QCI - NABET, New Delhi Certification No. NABET/EIA/1720/RA0088 dt.15/03/2018
|
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View Biodata [0.38 MB]