Air Pollution Monitoring in Delhi City by Using Lichen Transplant Technique

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Rahul Sharma ◽  
Rita Singh
Keyword(s):  
Air Pollution ◽  
Quantitative Estimation ◽  
Atmospheric Pollutants ◽  
Pollution Monitoring ◽  
Vehicular Emission ◽  
Air Pollution Monitoring ◽  
Bus Stop ◽  
Commercial Area ◽  
Degradation Ratio ◽  
First Time

<p>Air pollution biomonitoring was first time done in Delhi by using lichen transplanted technique (LTT). Lichens are biomonitoring<br />indicator and effect of atmospheric pollutants on physiological integrity was examined. Samples made of epiphytic foliose lichen<br />Pyxinecocoes(Sw.) Nyl. were actively transplanted at five different sites in Delhi (bus-stop, residential area, commercial area, industrials<br />area and highways) for monitoring the quantitative estimation of heavy meatls (Al, As, Cd, Cr, Cu, Pb, Fe and Zn) contained in the lichen<br />thallus at vertical positions and also potential quantum yield of photosystem II (fluorescence ratio Fv/Fm), change in the concentration of<br />pigmentation and chlorophyll degradation ratio. The highest concentration is of Iron (Fe) in all the sites and the lowest concentration is of<br />Cadmium (Cd) in all the sites. Two metals Arsenic (As) and Chromium (Cr) were not detected (N.D) in any of the sites in the present study.<br />Rain also interrupted the transplantedperiod. Bus-stop and highways are most polluted as compared to residential, commercial area. It was<br />also evident from this study that vehicular emission played a significant role in the releasing of elements as pollutants in the surrounding<br />environment.<br />Key words: Lichens, Heavy metals, Biomonitoring, LichenTransplant Technique</p><p> </p><p><span>DOI: </span><a id="pub-id::doi" href="http://dx.doi.org/10.21756/cba.v1i1.11018">http://dx.doi.org/10.21756/cba.v1i1.11018</a></p>

Air Pollution Monitoring in Delhi City by Using Lichen Transplant Technique

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Rahul Sharma ◽  
Rita Singh
Keyword(s):  
Air Pollution ◽  
Quantitative Estimation ◽  
Atmospheric Pollutants ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Bus Stop ◽  
Commercial Area ◽  
Degradation Ratio ◽  
Lichen Thallus ◽  
First Time

Air pollution biomonitoring was first time done in Delhi by using lichen transplanted technique (LTT). Lichens are biomonitoring indicator and effect of atmospheric pollutants on physiological integrity was examined. Samples made of epiphytic foliose lichen Pyxinecocoes(Sw.) Nyl. were actively transplanted at five different sites in Delhi (bus-stop, residential area, commercial area, industrials area and highways) for monitoring the quantitative estimation of heavy meatls (Al, As, Cd, Cr, Cu, Pb, Fe and Zn) contained in the lichen thallus at vertical positions and also potential quantum yield of photosystem II (fluorescence ratio Fv/Fm), change in the concentration of pigmentation and chlorophyll degradation ratio. The highest concentration is of Iron (Fe) in all the sites and the lowest concentration is of Cadmium (Cd) in all the sites. Two metals Arsenic (As) and Chromium (Cr) were not detected (N.D) in any of the sites in the present study. Rain also interrupted the transplantedperiod. Bus-stop and highways are most polluted as compared to residential, commercial area. It was also evident from this study that vehicular emission played a significant role in the releasing of elements as pollutants in the surrounding environment.

scholarly journals A review on Assessment of Air Pollution due to Vehicular Emission in Traffic Area

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Aneri A. Desai
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Motor Vehicles ◽  
Monitoring And Control ◽  
Ambient Air Quality ◽  
Vehicular Emission ◽  
Rapid Urbanization ◽  
Air Pollution Monitoring

In Indian metropolitan cities, the extensive growth of the motor vehicles has resulted in the deterioration of environmental quality and human health. The concentrations of pollutants at major traffic areas are exceeding the permissible limits. Public are facing severe respiratory diseases and other deadly cardio-vascular diseases In India. Immediate needs for vehicular air pollution monitoring and control strategies for urban cities are necessary. Vehicular emission is the main source of deteriorating the ambient air quality of major Indian cities due to rapid urbanization. Total vehicular population is increased to 15 Lacks as per recorded data of Regional Transport Organization (RTO) till 2014-2015. This study is focused on the assessment of major air pollution parameters responsible for the air pollution due to vehicular emission. The major air pollutants responsible for air pollution due to vehicular emissions are PM10, PM2.5, Sox, Nox, HC, CO2 and CO and Other meterological parameters like Ambient temperature, Humidity, Wind direction and Wind Speed. Sampling and analysis of parameters is carried out according to National Ambient Air Quality Standards Guidelines (NAAQS) (2009) and IS 5128.

scholarly journals Development of a low-cost outdoor carbon monoxide analyzer applied to the city of Oran, Algeria.

2020 ◽  
Author(s):  
Farid RAHAL ◽  
Noureddine BENABADJI ◽  
Mohamed BENCHERIF ◽  
Mohamed Menaouer BENCHERIF
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Electrochemical Sensor ◽  
Low Cost ◽  
Atmospheric Pollutants ◽  
Pollution Monitoring ◽  
Coefficient Of Determination ◽  
Air Pollution Monitoring ◽  
The City

Abstract In Algeria, air pollution is classified as a major risk by the law. However, this risk is underestimated because there is no operational network for measuring air quality on a continuous basis.Despite the heavy investments made to equip several cities with these measurement systems, they are out of order due to a lack of continuous financial support.The alternative to the absence of these air pollution measurement networks can come from the recent development of electrochemical sensor technologies for air quality monitoring which arouses a certain interest because of their miniaturization, low energy consumption and low cost.We developed a low-cost outdoor carbon monoxide analyzer called APOMOS (Air pollution Monitoring System) based on electrochemical sensor managed by microcontroller. An application developed with the Python language makes it possible to manage process and analyze the collected data.In order to validate the APOMOS system, the recorded measurements are compared with measurements taken by a conventional analyzer.Comparison of the measurements resulting from conventional analyzer and those resulting from the APOMOS system gives a coefficient of determination of 98.39 %.Two versions of this system have been designed. A fixed version and another embedded, equipped with a GPS sensor. These 2 variants were used in the city of Oran in Algeria to measure the concentration of carbon monoxide continuously.The targeted pollutant is carbon monoxide. However, the design of the APOMOS system allows its evolution in an easy way in order to integrate other sensors concerning the various atmospheric pollutants.

MAP-AQ: An international network for air quality forecasts

2021 ◽  
Author(s):  
Guy Brasseur ◽  
Rajesh Kumar
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Atmospheric Pollutants ◽  
Pollution Monitoring ◽  
International Network ◽  
Middle Income ◽  
Air Pollution Monitoring ◽  
Middle Income Countries ◽  
Modeling Analysis ◽  
Regional Air Pollution

&lt;p&gt;MAP-AQ (Modeling, Analysis and Predictions of Air Quality) is an international network that contributes to the development and implementation of global and regional air pollution monitoring, analysis, prediction and attribution systems with downscaling capability in areas of the world particularly affected by high levels of atmospheric pollutants, in particular in low and middle-income countries. The project supports the development of the science and software engineering needed to improve air quality forecasts from the global to the regional and local scales, and to develop reliable attribution systems for air pollution sources. Capacity development is another focus of the project sponsored by WMO/GAW and by IGAC. The paper will present a number of activities currently supported by MAP-AQ and will outline a strategy for future initiatives and cooperations.&lt;/p&gt;

A COMPARATIVE ANALYSIS AND REVIEW OF VARIOUS AIR POLLUTION MONITORING SCHEMES

2016 ◽  
Vol 5 (1) ◽  
pp. 30
Author(s):  
HASAN MOHD. TAHSEENUL ◽  
CHOURASIA VIJAY S. ◽  
ASUTKAR SANJAY M. ◽  
◽  
◽  
...  
Keyword(s):  
Air Pollution ◽  
Comparative Analysis ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring

scholarly journals H2020 project CAPTOR dataset: raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network.

Data in Brief ◽  
2021 ◽  
pp. 107127
Author(s):  
Jose M. Barcelo-Ordinas ◽  
Pau Ferrer-Cid ◽  
Jorge Garcia-Vidal ◽  
Mar Viana ◽  
Ana Ripoll
Keyword(s):  
Air Pollution ◽  
Low Cost ◽  
Monitoring Network ◽  
Pollution Monitoring ◽  
Raw Data ◽  
Air Pollution Monitoring

Research on air pollution system based on neural network

2020 ◽  
pp. 1-11
Author(s):  
Zhiqi Jiang ◽  
Xidong Wang
Keyword(s):  
Neural Network ◽  
Air Pollution ◽  
Image Features ◽  
Air Pollutant ◽  
Pollution Monitoring ◽  
System Model ◽  
Process Data ◽  
Deep Convolutional Neural Networks ◽  
Air Pollution Monitoring ◽  
Neural Network Algorithm

This paper conducts in-depth research and analysis on the commonly used models in the simulation process of air pollutant diffusion. Combining with the actual needs of air pollution, this paper builds an air pollution system model based on neural network based on neural network algorithm, and proposes an image classification method based on deep learning and Gaussian aggregation coding. Moreover, this paper proposes a Gaussian aggregation coding layer to encode image features extracted by deep convolutional neural networks. Learn a fixed-size dictionary to represent the features of the image for final classification. In addition, this paper constructs an air pollution monitoring system based on the actual needs of the air system. Finally, this article designs a controlled experiment to verify the model proposed in this article, uses mathematical statistics to process data, and scientifically analyze the statistical results. The research results show that the model constructed in this paper has a certain effect.

IoT Enabled an Open Framework for Air Pollution Monitoring System

2020 ◽  
Author(s):  
B.H. Sudantha ◽  
Manchanayaka MALSK ◽  
Nilantha Premakumara ◽  
Chamani Shiranthika ◽  
C. Premachandra ◽  
...  
Keyword(s):  
Air Pollution ◽  
Monitoring System ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Open Framework

scholarly journals COVID-19 and Air Pollution: Measuring Pandemic Impact to Air Quality in Five European Countries

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 290
Author(s):  
Akvilė Feiferytė Skirienė ◽  
Žaneta Stasiškienė
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Social Services ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Rapid Spread ◽  
Air Quality Improvement ◽  
Environment Agency ◽  
Pollution Emissions ◽  
Air Pollution Emissions

The rapid spread of the coronavirus (COVID-19) pandemic affected the economy, trade, transport, health care, social services, and other sectors. To control the rapid dispersion of the virus, most countries imposed national lockdowns and social distancing policies. This led to reduced industrial, commercial, and human activities, followed by lower air pollution emissions, which caused air quality improvement. Air pollution monitoring data from the European Environment Agency (EEA) datasets were used to investigate how lockdown policies affected air quality changes in the period before and during the COVID-19 lockdown, comparing to the same periods in 2018 and 2019, along with an assessment of the Index of Production variation impact to air pollution changes during the pandemic in 2020. Analysis results show that industrial and mobility activities were lower in the period of the lockdown along with the reduced selected pollutant NO2, PM2.5, PM10 emissions by approximately 20–40% in 2020.

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