|Abstract Title:||Analyzing and Leveraging Pollution Data|
|Session Choice:||Data Management|
|Presenter Name:||Dr Arvind Tilak|
|Company/Organisation:||Ascent Intellimation Pvt. Ltd.|
Abstract Information :
Regulatory driven adoption of Data Acquisition and Handling Systems (DAHS) for ambient air quality and stack emissions has increased many fold in India and many other countries across the world. Adoption of these systems backed by real time pollution analyzers are expensive proposition and companies and governments are spending huge budgets on setting up these systems. These systems acquire and store data every few seconds (as specified in some cases) and are operational run 24x7.
We are convinced (and so are many others) that it is very important to start leveraging this data and ensure that the investments and resources spent start paying back. It is also important that this data is leveraged not by just one entity but by many entities inside and outside governments and academic institutes.
The paper will focus on qualitative and quantitative status of data collected by DAHS systems, dissemination and sharing models and challenges in analysis and interpretation of this data. In this connection, the paper will elaborate on following aspects
- Various types of data generated by CEMS / ambient stations/ weather stations/ water analyzers, etc. and collected by DAHS.
- Various stakeholders in this process like regulators, industries, scientists, citizens etc. and their business and functional expectation from this data
- Challenges faced by them in terms of access, availability and integrity
- Possible models and business cases for leveraging the data by some of the stake holders
- Enabling technologies like cloud and big data that can be used in analysis