whether AMBIENT AIR QUALITY DATA TWICE A WEEK FOR 4 WEEKS IN A MONTH AND FOR ALL THREE MONTHS CAN REALLY HAPPEN???????????????????????????????????????????????????????????? CAN THEIR BE ANY BETTER IDEA FOR THIS SO THAT THERE IS A RELIABILITY IN DATA AND PEOPLE ALSO COOPERATE IN COLLECTION
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I do agree with Sudhnshu view, but now if you need really the data and who knows the data collected befroe the project sart and any adverse situation arises later post operational senario on the pollution load etc., such data collected will really help and can defed your stand on many issues related to your project and operations. Now a days we are getting better equipment with less noise and battery bckup can enhace reliability of data collection.
m.vijay kumar
At the end, professionally, “all data are reliable if you can defend them” ;-)
The most powerful statement, i bow my head to you. This shows the practical experience of a person who has really worked on this. Can't we develop an alternate method rather than following the present one's. Why we are not able to devise any method or mechanism to obtain a reliable data.
most surprisingly except you on one took the issue seriously. Needs to think about.
Yes, this happens! Why three months, this can be continued for an year and so (forget the rainy days) and the reliability in data (provided instruments are duly calibrated and tested) would be beyond doubt - if the sampling team understand why they are monitoring.
Early in my currier, I was involved on several comprehensive/rapid EIA projects in India as an air quality/modeling person and with the team we use to carry our heavy samplers (really heavy!) with us and camp on site to make ourselves familiar with the surroundings and also to make sure the equipments are properly located and installed; the measured air quality match with our observations and if not (most of the time) find out the reason and do further investigation then and there.
I understand, where you are coming from, but the point is - in most cases the data is required to fulfill the requirements and there is nothing to do with the data analysis and conclusions. So, why one should have a valid and reliable data and put lots of efforts and money if he/she knows the conclusion in advance, which is unfortunate but true.
As far as people's cooperation is concern - it's entirely a personal approach. No one wants to be disturbed because of the noisy sampler in their neighborhood but one has to convince them.
The real problem in ambient air quality data generation is uninterrupted power supply and in some case you may end up with no power supply at all!
At the end, professionally, “all data are reliable if you can defend them” ;-)
Replies
I do agree with Sudhnshu view, but now if you need really the data and who knows the data collected befroe the project sart and any adverse situation arises later post operational senario on the pollution load etc., such data collected will really help and can defed your stand on many issues related to your project and operations. Now a days we are getting better equipment with less noise and battery bckup can enhace reliability of data collection.
m.vijay kumar
Hello Sudhanshu,
Raghava,
Yes, this happens! Why three months, this can be continued for an year and so (forget the rainy days) and the reliability in data (provided instruments are duly calibrated and tested) would be beyond doubt - if the sampling team understand why they are monitoring.
Early in my currier, I was involved on several comprehensive/rapid EIA projects in India as an air quality/modeling person and with the team we use to carry our heavy samplers (really heavy!) with us and camp on site to make ourselves familiar with the surroundings and also to make sure the equipments are properly located and installed; the measured air quality match with our observations and if not (most of the time) find out the reason and do further investigation then and there.
I understand, where you are coming from, but the point is - in most cases the data is required to fulfill the requirements and there is nothing to do with the data analysis and conclusions. So, why one should have a valid and reliable data and put lots of efforts and money if he/she knows the conclusion in advance, which is unfortunate but true.
As far as people's cooperation is concern - it's entirely a personal approach. No one wants to be disturbed because of the noisy sampler in their neighborhood but one has to convince them.
The real problem in ambient air quality data generation is uninterrupted power supply and in some case you may end up with no power supply at all!
At the end, professionally, “all data are reliable if you can defend them” ;-)
Thanks, Sudhanshu