This project was done in order to analyze PM2.5 value along RICCO Neemrana which is an Industrial area in State of Rajasthan.

1. To Study PM2.5 Level along RICCO Industrial area, Neemrana,
Rajasthan
Presented By : Shivaprakash Yaragal

2. Objective:
 Objective of the project is to create risk map for
RIICO area of Neemrana. Which includes
 To determine the level of PM2.5 and PM10.
 To determine particulate matter level at various location
in Neemrana , along NH-8, inside Japanese industrial
zone and near population centres like university and
labour camps.
 For temporal analysis , data need to be collected every 15
days for whole year. Yearly data has to be maintained.
 To develop pollutant spread map, source map,
vulnerability map.

3. Methodology
Point file of
Villages
2011 Census
Data
Data logging
GeoODK collect
FME data
integration
ODK
Aggregate
on
Google's
App
Engine
PM2.5 Hand
held sensor
Data
Visualisation
using Tableau
Data
Manipulation
using Tableau
Population
Map
PM2.5 Spread
Map
Vulnerability Map

4. Point file of
Villages
2011 Census
Data
FME data
integration
FME data integrations
Interpolation
Population map preparation

5. Data Logger app PM2.5 Censor : Crusaders
PM 2.5 Air Quality
ODK Aggregate
Export as CSV
Visualization of 229 points. Data
taken over period of 5 days
Data Collection

6. Data Visualisation

10. •October 23 data shows the where actually PM2.5 values are
concentrated during normal days as October 23 , 2016 was before
Diwali and winter hadn’t started. During winter temperature
inversion takes place and hence PM2.5 particle gets accumulated
in lower atmosphere. This was seen during November 12 and
November 16 data as there was significant increase in PM2.5
values in the surveyed area.
•There are population centres in Neemrana, which are at risk even
on October 23. But on November 16 whole population was at risk.
However its hard to conclude that whole increase in PM2.5 values
is solely due to local source .
•PM2.5 values in certain parts of Neemrana are very high, which
should be of great concern.
Conclusion