Ezhilkumar Marimuthu RajendranIndian Institute of Technology Madras | IIT Madras · Department of Civil Engineering
Ezhilkumar Marimuthu Rajendran
Ph.D. (Air Quality Monitoring and Modeling), M.E. (Environmental), B.E. (Civil)
Post Doctoral Researcher
About
11
Publications
52,360
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56
Citations
Introduction
I completed my Bachelors in Civil Engineering, Masters in Environmental Management and Ph.D. research in the field of Air Quality Monitoring and Modelling at Centre for Environmental Studies, Anna University, India. My work is focused on PM2.5 and PM10 monitoring and modeling in the street canyons, the influence of street orientation, weather parameters on the concentration variation, and assessing the exposure risk of humans. I also do collaborative research to get global exposure.
Additional affiliations
June 2015 - April 2019
Dhaanish ahmed college of engineering
Position
- Professor (Assistant)
June 2014 - June 2015
Dhaanish Ahmed Institute of Technology
Position
- Professor (Assistant)
Description
- Student Advisor, established Civil Department and initiated IQAC, ISO Accreditation, AU and AICTE Affiliation. Signed MoU with several companies for the long term benefit of students under several aspects.
Publications
Publications (11)
This research estimates the amount and pattern of Greenhouse Gas emissions in Nile University of Nigeria, Abuja, Nigeria. Footprint from onsite energy production, transport, gardening and cooking fuels were calculated as major emission sources in university campuses using IPCC’s guideline for assessment and reporting GHG. The calculated annual GHGs...
Green building is one of the concepts that emerged in supporting low carbon development through policies and program to improve energy efficiency, water and increase in use of low carbon technology. Growing awareness of climate change has caused individuals, institutions and business to search for alternatives to reduce their excessive energy consu...
The impact of street geometries on vertical dispersion of PMs (PM2.5 and PM10) in (1) non-street canyon (NSC), (2) street canyon (SC), and (3) street canyon with viaduct (SCV) was studied during four seasons. The chemical composition of the species was analysed for source apportionment. The mass concentration of PMs in canyons was in the order of S...
COVID'19 pandemics has brought a tremendous change in the regular human life style due to the severity of the virus. In addition, a positive impact was observed in the ambient air quality due to complete absence of anthropogenic activities contributing to the air pollutants in the urban sprawl for a short duration because of the lockdown restrictio...
Chemical characterization of particulate matter (PM) measured along trafficked roads in Chennai city was performed during the winter season. Several heights, from 3 m to about 38 m above the ground level, and road geometries were taken into account. The daily average coarse (PM 10) and fine (PM 2.5) particles concentrations were in the range 72-110...
High-rise structures in urban regions create street canyons (SCs), which are hot-spots of air pollution, thereby posing human health risks due to exposure to high concentrations. In this concern, particulate matters (PMs: PM 2.5 and PM 10) were investigated in non-street canyon (NSC), SC, and street canyon with viaduct (SCV) at three heights above...
This paper presents the Carbon Footprint (CF) emission contribution from different activities in an educational institution named Sri Krishna College of Engineering and Technology (SKCET), Coimbatore. In this study emission source were categorized under three scopes as per the standards of ISO 14064. Among the three scopes, scope 3 i.e. other indir...
Experimental investigations were conducted on vertical dispersion of particulate matters (PM2.5 and PM10)at three street canyons in Chennai during winter 2018. The concentrations of PM2.5 and PM10were increasing vertically in open canyon. However, in closed canyon, trend of PM2.5 and PM10 were increasing and decreasing vertically. On the other hand...
Vertical profiling of fine particles (PM 2.5 ) and coarser particles (PM 10 ) in ambient air was assessed at various heights of two high rise buildings in Chennai – a State capital of India. The exposure to theses particulates by residents of various floors of the high rise buildings was assessed in terms of air quality index and health risk factor...
Questions
Questions (29)
Dear All
I am looking for e-books on "Metro Rail System", a new course to be taught for the under graduate students.
Can you please suggest me books for reference?
Also please share any E-books relevant to this course if available at your disposal.
Thanks in advance
I have collected vertical air pollutant samples at three different heights close to the road.
Meanwhile I observed meteorological data at one particular point i.e. above the building roof during sampling.
Since the air pollutants are collected spatially in height while the met. data is collected at a fixed point.
So here the pollutant data cannot be directly correlated with met. data.
So, I first correlated the pollutant concentration with height and estimated the "r" value.
Since "r" values are both in positive and negative, I normalized them by squaring say "r^2" (correlation to regression).
Now I correlated the "r^2"value with meteorological data.
Is this a meaningful statistical analysis?
Need expert suggestion?
Thanks and regards in advance
Ezhil
Dear fellows
One of my friend is working with oil refinery sludge.
To characterize the sludge using SEM-EDAX, it has to be dried. Drying of sample was tried using natural sunlight exposure and with oven.
But still, the samples remained wet.
Kindly suggest standard procedures to dry the samples.
Thanks in advance
Regards
Ezhil
Usually the filter papers will be desiccated for 24 hr before and after ambient air pollutant sampling.
As we encounter some error in weighing balance, we are unable to weigh the exposed air pollutant accumulated filter papers.
So until the balance is repaired, the exposed filter papers placed in a filter carrier and are desiccated.
Is the method we adopted is fine or do we need to follow any other?
Kindly advice me.
Thanks in advance.
I am looking for a tutorial or method discussion on simulating back-trajectory for 7 days in HYSPLIT.
I have a knowledge in running multiple locations.
Looking for experts help.
I have observed PM2.5 and PM10 concentration for a particular site on alternate days for a period of 1 week.
I wish to analyse the ratio of pollutants in that specific site.
But as the measurements are carried out in alternate days, is it reasonable to discuss the ratio of PM2.5 / PM10.
If it sounds good, what kind of statistical test should i perform to show that data obtained on alternate days can be compared.
Becoz studies suggest that daily variations in pollution levels will not be significantly varying in urban areas as the sources remains same.