scholarly journals Bacteriological Quality of Aerial Ambient Air in Selected Creche and Daycare Centers in Ugbowo, Benin City

2020 ◽  
Vol 2 (3) ◽  
pp. 103
Author(s):  
Ologbosere O.A. ◽  
Ogofure A.G.
Keyword(s):  
Ambient Air ◽  
Benin City ◽  
Daycare Centers ◽  
Bacteriological Quality

scholarly journals Assessment of Vehicular-Induced Emissions in some Selected Areas in Benin City, Edo State, Nigeria

2021 ◽  
Vol 25 (8) ◽  
pp. 1535-1539
Author(s):  
W.A. Raji ◽  
L.A. Jimoda ◽  
J.K. Odobor ◽  
A.O. Popoola
Keyword(s):  
Carbon Monoxide ◽  
Environmental Protection Agency ◽  
Ambient Air ◽  
Control Measures ◽  
Benin City ◽  
Gas Detector ◽  
The Status ◽  
Edo State ◽  
Environmental Health Problem

Vehicular emission is a major environmental health problem in the world today especially in developing countries including Nigeria. This study was centered on assessing the vehicular emissions pollutants such as Carbon monoxide (CO), Hydrogen Sulphide (H2S), Formaldehyde (HCHO) and Total Volatile Organic Compound (TVOC) in Benin City, Edo State, Nigeria. The sampling of the CO and H2S gaseous pollutants was done using H-4S gas analyzer while JCG60 gas detector was used to measure TVOC and HCHO. The meteorological parameters were measured with HTC-1 hygrometer thermometer. AQI was calculated to determine the status of the ambient air quality of the study areas. Carbon monoxide concentration obtained from the result ranges from 3.12-16.1 ppm with location C having the highest amount of 16.1 ppm which exceeds the Federal Environmental Protection Agency (FEPA) standard of 10 ppm. The calculated AQI shows that the study areas are all polluted. Continuous measurement and inventory of air pollutants should be encouraged, as this will enable the policymakers to effectively implement control measures on air pollution.

Robust Environmental Sensing Using UAVs

2021 ◽  
Vol 2 (4) ◽  
pp. 1-20
Author(s):  
Ahmed Boubrima ◽  
Edward W. Knightly
Keyword(s):  
Air Pollution ◽  
Gas Sensors ◽  
High Performance ◽  
Weather Conditions ◽  
Ambient Air ◽  
Mission Planning ◽  
Pollution Monitoring ◽  
Compound Pollution ◽  
Planning Algorithm

In this article, we first investigate the quality of aerial air pollution measurements and characterize the main error sources of drone-mounted gas sensors. To that end, we build ASTRO+, an aerial-ground pollution monitoring platform, and use it to collect a comprehensive dataset of both aerial and reference air pollution measurements. We show that the dynamic airflow caused by drones affects temperature and humidity levels of the ambient air, which then affect the measurement quality of gas sensors. Then, in the second part of this article, we leverage the effects of weather conditions on pollution measurements’ quality in order to design an unmanned aerial vehicle mission planning algorithm that adapts the trajectory of the drones while taking into account the quality of aerial measurements. We evaluate our mission planning approach based on a Volatile Organic Compound pollution dataset and show a high-performance improvement that is maintained even when pollution dynamics are high.

scholarly journals Impact of COVID-19 induced lockdown and unlock down phases on the ambient air quality of Delhi, capital city of India

Urban Climate ◽  
2021 ◽  
pp. 100945
Author(s):  
Mayank Pandey ◽  
M.P. George ◽  
R.K. Gupta ◽  
Deepak Gusain ◽  
Atul Dwivedi
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Capital City ◽  
Ambient Air Quality

scholarly journals Open Defaecation and Its Effects on the Bacteriological Quality of Drinking Water Sources in Isiolo County, Kenya

2017 ◽  
Vol 11 ◽  
pp. 117863021773553 ◽  
Author(s):  
Joab Odhiambo Okullo ◽  
Wilkister Nyaora Moturi ◽  
George Morara Ogendi
Keyword(s):  
Drinking Water ◽  
Water Sources ◽  
Drinking Water Sources ◽  
Bacteriological Quality ◽  
Isiolo County

scholarly journals Bacteriological quality of drinking water originated from groundwater in Bni-Abbs area (South West Algeria)

2015 ◽  
Vol 10 (53) ◽  
pp. 4844-4849 ◽  
Author(s):  
Benmerine BENGARNIA ◽  
Miloud HADADJI ◽  
Mohammed RAMDANI ◽  
Mebrouk KIHAL
Keyword(s):  
Drinking Water ◽  
Bacteriological Quality ◽  
South West ◽  
West Algeria

scholarly journals Ambient Air Quality Classification by Grey Wolf Optimizer Based Support Vector Machine

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Akash Saxena ◽  
Shalini Shekhawat
Keyword(s):  
Support Vector Machine ◽  
Air Quality ◽  
Industrial Development ◽  
Learning Algorithm ◽  
Ambient Air ◽  
Support Vector ◽  
Grey Wolf Optimizer ◽  
Mathematical Framework ◽  
Primary Concern

With the development of society along with an escalating population, the concerns regarding public health have cropped up. The quality of air becomes primary concern regarding constant increase in the number of vehicles and industrial development. With this concern, several indices have been proposed to indicate the pollutant concentrations. In this paper, we present a mathematical framework to formulate a Cumulative Index (CI) on the basis of an individual concentration of four major pollutants (SO2, NO2, PM2.5, and PM10). Further, a supervised learning algorithm based classifier is proposed. This classifier employs support vector machine (SVM) to classify air quality into two types, that is, good or harmful. The potential inputs for this classifier are the calculated values of CIs. The efficacy of the classifier is tested on the real data of three locations: Kolkata, Delhi, and Bhopal. It is observed that the classifier performs well to classify the quality of air.

Assessment of the personal hygiene and the bacteriological quality of butchers' hands in some abattoirs in Alexandria, Egypt

Food Control ◽  
2014 ◽  
Vol 41 ◽  
pp. 147-150 ◽  
Author(s):  
R. Abd-Elaleem ◽  
W.M.K. Bakr ◽  
W.A. Hazzah ◽  
O. Nasreldin
Keyword(s):  
Personal Hygiene ◽  
Bacteriological Quality
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