- 22 December, 2024
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- ONECSIR
| Designation: |
Chief Scientist & Head
|
| Email Id: | kv_george[at]neeri[dot]res[dot]in |
| Qualification: | Ph.D (Env. Engg), M.Tech (Env. Engg), B.Tech (Civil Engg) |
| Specialization: |
Air Quality Management
|
| Address: |
Vertical 1 A: Air Resource, NEERI, Nagpur
|
| Biodata: |
| Sr. No. | Project Name |
|---|---|
| 1 |
Tourist Impact Assessment and Carrying Capacity Study for Environmental Protection of World Heritage Site, Ajanta Caves, Aurangabad
The main objective of the study is to assess environmental impact arising out of the tourist activity vis-à-vis environmental conditions inside the caves and suggest appropriate short term and long term measures to eliminate/ minimizethe resulting adverse impacts. |
| 2 |
National Clean Air Mission
Assessment and Management of Air Pollution and Health problems in sources, pathways and receptors. Assessment of Indoor air pollution and Green house gases. |
| 3 |
Assessment of Air Pollution and Source Apportionment Study in Firozabad, District Magistrate, Firozabad
To carry out air Quality monitoring for SO2, NO2 and particulate matter with identification and quantification of major sources of pollution. |
| 4 |
PM10 and PM2.5 Source Apportionment Study and Development of Emission Inventory of Twin Cities Kolkata and Howrah of West Bengal
Carrying out Particulate matter (PM10 & PM2.5) monitoring and content analysis, emission inventory generation and source apportionment study through receptor modeling using CMB8.2 FOR Kolkata and Howrah. |
| 5 |
Air Quality Monitoring and Source apportionment studies for Ten cities of Maharashtra
The main objective of Ambient Air Quality Monitoring is to generate baseline data of ambient concentration of critical air pollutants and source apportionment study for utants and source apportionment study for PM10 in different parts of the cities. |
| Sr. No. | Publication Name |
|---|---|
| 1 |
Impact assessment of tourists on noise environment in heritage site
|
| 2 |
Evaluation of coarse and fine particles in diverse Indian environments
The estimates of airborne fine particle (PM2.5) concentrations are possible through rigorous empirical correlations based on the monitored PM10 data. However, such correlations change depending on the nature of sources in diverse ambient environments and, therefore, have to be environment specific. Studies presenting such correlations are limited but needed, especially for those areas, where PM2.5 is not routinely monitored. Moreover, there are a number of studies focusing on urban environments but very limited for coal mines and coastal areas. The aim of this study is to comprehensively analyze the concentrations of both PM10 and PM2.5 and develop empirical correlations between them. Data from 26 different sites spread over three distinct environments, which are a relatively clean coastal area, two coal mining areas, and a highly urbanized area in Delhi were used for the study. Distributions of PM in the 0.43–10-μm size range were measured using eight-stage cascade impactors. Regression analysis was used to estimate the percentage of PM2.5 in PM10 across distinct environments for source identification. Relatively low percentage of PM2.5 concentrations (21, 28, and 32%) in PM10 were found in clean coastal and two mining areas, respectively. Percentage of PM2.5 concentrations in PM10 in the highly urbanized area of Delhi was 51%, indicating a presence of a much higher percentage of fine particles due to vehicular combustion in Delhi. The findings of this work are important in estimating concentrations of much harmful fine particles from coarse particles across distinct environments. The results are also useful in source identification of particulates as differences in the percentage of PM2.5 concentrations in PM10 can be attributed to characteristics of sources in the diverse ambient environments |
View Biodata [0.37 MB]