This document summarizes a study that assessed and characterized dust levels at different working conditions in a surface mine. Dust was monitored using high volume samplers to measure particulate matter levels of PM10 and PM2.5 at both a core working zone and buffer village zone. Higher dust concentrations of both PM10 and PM2.5 were found at the core working zone compared to the buffer village zone, with some villages near operations recording even higher levels than the core zone. The results indicate that mining activities generate airborne dust and that dust levels decrease with increasing distance from operations. Characterizing the dust is important for understanding health impacts and mitigating pollution.
The document describes the methodology used for air sampling and analysis to test for high lead levels near a primary school. Three high volume air samplers were installed to collect particulate matter from different locations. The sampling complied with most aspects of the relevant Australian standards, except for some siting criteria due to investigating a specific pollution source. Filter samples were analyzed for lead and other metals by a chemistry center using validated methods. A separate test was also done for cyanide from one sample following a nearby fire.
Preliminary Outdoor Air Pollution StudyNitin Yadav
This document outlines a study on outdoor air pollution in Noida City, India. The objectives are to determine the ambient air quality status, ascertain if air quality standards are violated, and develop preventive and corrective measures. Three monitoring stations were established to sample particulate matter (PM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) using standard gravimetric and spectrophotometric methods. The study will involve sample collection, chemical analysis, comparing results to national standards, and providing recommendations based on outcomes and a literature review discussing previous air pollution studies. Expected results are ambient air quality data that can be compared to national standards to assess air quality in Noida City.
IRJET- Assessment of Total Suspended Particles and Particulate Matter in diff...IRJET Journal
This document summarizes a study that assessed total suspended particles (TSP) and particulate matter (PM2.5 and PM10) at four sites in Jabalpur City, India from November 21-29, 2017. Samples were collected from Shastri Bridge Square, Ranitaal Square, DamohNaka Square, and Collectorate Square and analyzed for TSP, PM2.5 and PM10. Concentrations of all pollutants were found to exceed permissible limits at all sites, with the highest levels of PM2.5, PM10 and TSP found at DamohNaka Square during morning and afternoon periods. The study concludes that vehicle emissions are a major contributor to air pollution in urban areas
This document discusses appropriate instruments and techniques for complying with new ambient air quality monitoring standards for sulfur dioxide (SO2). It describes two common methods for measuring SO2 levels: the Improved West and Gaeke method, which uses a solution to absorb SO2 from the air, and ultraviolet fluorescence, which detects SO2 using ultraviolet light absorption. The document also establishes the national air quality standards for SO2 and discusses natural and anthropogenic sources of SO2 as well as methods for reducing SO2 emissions.
Air Quality Sampling and Monitoring: Stack sampling, instrumentation and methods of analysis of SO2, CO etc, legislation for control of air pollution and automobile
pollution
Ambient Air Quality Monitoring in Southern AlbertaKepa2014
Ambient Air Quality Monitoring in Southern Alberta
The presentation discussed ambient air quality monitoring in Southern Alberta. It defined ambient air quality and explained that various groups including AEMERA, airshed organizations, industry, and Environment Canada conduct monitoring. Parameters like gases, particulate matter and meteorological data are measured using continuous, passive and temporary monitors. Monitoring occurs across the region at stations to ensure compliance with air quality standards and inform management. The data shows trends over time and is used in research like assessing the monitoring network and modeling future emissions scenarios to predict concentrations.
Augmenting Standard Methods of Measuring Airborne PM2.5 Using IR ImagingPerkinElmer, Inc.
Global concern over air pollution and particulate matter (PM) is growing. PM2.5 particles less than 2.5 micrometers pose particular health risks. Infrared (IR) imaging can augment standard gravimetric methods used to measure airborne PM2.5. An IR imaging study of PM2.5 samples collected in Seoul, Beijing, and Tokyo found higher overall PM2.5 in Beijing. The IR images also showed differences in chemical composition between sites, indicating no significant cross-border air pollution between areas, especially into Tokyo. IR imaging provides both qualitative identification and quantitative analysis of PM2.5 components in only 5 minutes, faster than alternative methods.
The document describes the methodology used for air sampling and analysis to test for high lead levels near a primary school. Three high volume air samplers were installed to collect particulate matter from different locations. The sampling complied with most aspects of the relevant Australian standards, except for some siting criteria due to investigating a specific pollution source. Filter samples were analyzed for lead and other metals by a chemistry center using validated methods. A separate test was also done for cyanide from one sample following a nearby fire.
Preliminary Outdoor Air Pollution StudyNitin Yadav
This document outlines a study on outdoor air pollution in Noida City, India. The objectives are to determine the ambient air quality status, ascertain if air quality standards are violated, and develop preventive and corrective measures. Three monitoring stations were established to sample particulate matter (PM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) using standard gravimetric and spectrophotometric methods. The study will involve sample collection, chemical analysis, comparing results to national standards, and providing recommendations based on outcomes and a literature review discussing previous air pollution studies. Expected results are ambient air quality data that can be compared to national standards to assess air quality in Noida City.
IRJET- Assessment of Total Suspended Particles and Particulate Matter in diff...IRJET Journal
This document summarizes a study that assessed total suspended particles (TSP) and particulate matter (PM2.5 and PM10) at four sites in Jabalpur City, India from November 21-29, 2017. Samples were collected from Shastri Bridge Square, Ranitaal Square, DamohNaka Square, and Collectorate Square and analyzed for TSP, PM2.5 and PM10. Concentrations of all pollutants were found to exceed permissible limits at all sites, with the highest levels of PM2.5, PM10 and TSP found at DamohNaka Square during morning and afternoon periods. The study concludes that vehicle emissions are a major contributor to air pollution in urban areas
This document discusses appropriate instruments and techniques for complying with new ambient air quality monitoring standards for sulfur dioxide (SO2). It describes two common methods for measuring SO2 levels: the Improved West and Gaeke method, which uses a solution to absorb SO2 from the air, and ultraviolet fluorescence, which detects SO2 using ultraviolet light absorption. The document also establishes the national air quality standards for SO2 and discusses natural and anthropogenic sources of SO2 as well as methods for reducing SO2 emissions.
Air Quality Sampling and Monitoring: Stack sampling, instrumentation and methods of analysis of SO2, CO etc, legislation for control of air pollution and automobile
pollution
Ambient Air Quality Monitoring in Southern AlbertaKepa2014
Ambient Air Quality Monitoring in Southern Alberta
The presentation discussed ambient air quality monitoring in Southern Alberta. It defined ambient air quality and explained that various groups including AEMERA, airshed organizations, industry, and Environment Canada conduct monitoring. Parameters like gases, particulate matter and meteorological data are measured using continuous, passive and temporary monitors. Monitoring occurs across the region at stations to ensure compliance with air quality standards and inform management. The data shows trends over time and is used in research like assessing the monitoring network and modeling future emissions scenarios to predict concentrations.
Augmenting Standard Methods of Measuring Airborne PM2.5 Using IR ImagingPerkinElmer, Inc.
Global concern over air pollution and particulate matter (PM) is growing. PM2.5 particles less than 2.5 micrometers pose particular health risks. Infrared (IR) imaging can augment standard gravimetric methods used to measure airborne PM2.5. An IR imaging study of PM2.5 samples collected in Seoul, Beijing, and Tokyo found higher overall PM2.5 in Beijing. The IR images also showed differences in chemical composition between sites, indicating no significant cross-border air pollution between areas, especially into Tokyo. IR imaging provides both qualitative identification and quantitative analysis of PM2.5 components in only 5 minutes, faster than alternative methods.
This document discusses air quality sampling and monitoring. It covers topics such as defining air quality, common air sampling techniques like static and grab sampling, procedures for site selection and equipment calibration. It also discusses various air pollution control equipment options like gravitational chambers, cyclones, and electrostatic precipitators. Finally, it outlines some key aspects of legislation in India for controlling air pollution, including the Air Prevention and Control of Pollution Act of 1981.
It will guide to about the air sampling process which is essential step before you proceed for any type of research regarding air pollution, pollutants and health effects.
Air quality management involves monitoring air pollutants like particulate matter, sulfur oxides, nitrogen oxides, and carbon monoxide through various sampling and analytical techniques. Key aspects include establishing air quality standards, determining emission reduction needs, and enforcing compliance through multi-level collaboration between government agencies, regulated industries, and the public. Monitoring methods like high-volume air sampling and stack sampling are used to test for suspended particulate matter, sulfur dioxide, nitrogen oxides, and carbon emissions.
This document discusses air pollution engineering topics including air emissions modelling and sampling, and air pollution abatement equipment. It provides definitions of air pollution and classifications of air pollutants. It also describes common methods for air sampling and modelling to measure and estimate air pollution levels. Finally, it outlines environmental risk assessment procedures and discusses common equipment used to control and remove airborne particulates like electrostatic precipitators and fabric filters.
Accuracy Improvement of PM Measuring Instrumentsijtsrd
The PM10 concentration in the underground areas should be monitored to protect the health of the commuters in the underground subway system. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. Some experimental results show that a linear regression technique would be very helpful for the performance improvement of light scattering instruments such as Air test PM2500 and HCT 4103. Tae-In Hyon | Gyu-Sik Kim "Accuracy Improvement of PM Measuring Instruments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26722.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26722/accuracy-improvement-of-pm-measuring-instruments/tae-in-hyon
IRJET- Aircop – An Air Pollution Monitoring DeviceIRJET Journal
1. The document describes a device called AIRCOP that was developed for remote monitoring of air pollution factors using Internet of Things technology.
2. AIRCOP monitors carbon monoxide, air quality, particulate matter, temperature, humidity, atmospheric pressure, and wind speed using low-cost sensors.
3. The sensor data is sent to a cloud-based IoT platform called Thingspeak where it is stored and visualized, allowing continuous monitoring of environmental conditions.
Learn the Tricks to Get the Best from Your City Ambient Air Quality Monitorin...Prasad Modak
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
2008-12 WMO GURME - Air Pollution Monitoringurbanemissions
The document discusses various methods for monitoring air pollution:
1) Different types of monitors are used to measure parameters like particulate matter, ozone, nitrogen oxides at various time resolutions from hourly to daily to provide data for compliance, trends analysis, and model verification.
2) Monitors include continuous gas analyzers, filter samplers, beta attenuation monitors, nephelometers, as well as more specialized equipment like ozonesondes, lidar, and aircraft.
3) The number, location and type of monitors needed depends on the objectives of the monitoring program and balances factors like cost, time resolution, and spatial coverage of the data.
EnviroConnect is a web-based environment quality monitoring system that collects data from devices monitoring stack emissions, ambient air quality, and water quality. It allows users to view data in real-time, configure alarm thresholds, generate reports, and send data to pollution control boards. The system is designed according to India's CPCB guidelines and can be deployed either locally or on a nationwide network. It has been implemented in over 50 industries across India to monitor their emissions and effluent quality.
Measurement of ambient air pollutants, sampling and analysisAbhishek Tiwari
The document summarizes air pollution monitoring training conducted at the Analytical and Environmental Engineering Laboratory in Ranchi, India. Over the course of 5 days, participants learned air sampling techniques and how to use equipment like a respirable dust sampler to measure concentrations of PM10, PM2.5, SO2, and NO2 in ambient air. Samples collected during fieldwork were then analyzed, and concentrations of pollutants were found to be within regulatory limits set by India's Central Pollution Control Board.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
IRJET - Prediction of Air Pollutant Concentration using Deep LearningIRJET Journal
This document describes a study that used artificial neural networks to predict PM2.5 air pollutant concentration levels in Manali, Chennai, India. The study collected data on PM2.5 levels as well as factors like NO2, SO2, CO, relative humidity, and wind speed over a three year period. An artificial neural network model with feed-forward backpropagation was developed using this data, with 6 input nodes (for each pollutant/factor) and 1 output node (for PM2.5 levels). The model was trained on 70% of the data and tested on the remaining 15%, achieving a correlation coefficient between predicted and observed PM2.5 of 0.8. The study demonstrated that artificial neural
Air monitoring legislation is getting stricter. At the beginning of 2018, France made air monitoring mandatory in schools and daycares and the EU top court issued one last warning to the UK, Poland and seven other member states to respect air pollutant limits. Clearly, air monitoring is at the table now and organizations are under pressure to monitor air pollutants continuously.
In this webinar, indoor and outdoor air quality experts, Malak Rizk and Jean-Philippe Monfet provide a brief overview of the state of air quality in the US and the EU and then discuss ways to measure indoor and outdoor air pollutants and EPA recommended factors to keep in mind when choosing an air monitoring device.
Detection air pollution based on infrared image processingTELKOMNIKA JOURNAL
This paper proposes a method of detecting air pollution in a region using image processing techniques. The image used is the infrared image that obtained using a modified digital camera by mounting the SRS filter. Image processing technique used is to utilize wavelet transformation. Pollutants are detected based on the average number of white pixels that appear on the image. This white pixel appears due to the reflection of the wavelength of the pollutant that hits the sensor on the camera. From the results of the proposed method detection is known that the highest pollution occurs in 12.00 which is the busiest traffic time and the lowest pollution occurred in 08.00 where the traffic passing through the area has not been crowded.
This document describes procedures for monitoring sulfur dioxide (SO2) in ambient air. It discusses two mechanical methods for SO2 monitoring that were selected for their reliability and cost. The document provides detailed instructions for using the pararosaniline method to measure SO2 concentrations in the range of 25 to 1000 ug/m3. The method involves collecting air samples using absorbing reagents, then analyzing the samples colorimetrically based on the reaction of SO2 with pararosaniline dye to measure absorbance. Interferences are minimized through use of reagents like sulfamic acid and adjustments to sampling and analysis procedures.
Appropriate Instruments & techniques for Complying with Air Quality StandardsECRD IN
This document discusses appropriate instruments and techniques for complying with new ambient air quality monitoring standards. It provides details on various methods for monitoring key air pollutants like sulfur dioxide (SO2), nitrogen oxides, particulate matter and more. The Improved West and Gaeke method and Ultraviolet Fluorescence are described as techniques for measuring SO2 levels using absorptive and fluorescent properties. Site selection, quality control measures, and guidelines from pollution control organizations are also summarized.
Air quality monitoring guidelines pre chaptersECRD2015
This document provides guidelines for air quality monitoring, covering topics such as introduction to air quality, basic statistics in air quality monitoring, meteorology and its relationship to air quality, various air quality monitoring techniques, and strategies for managing air quality in Indian cities. It includes 8 chapters that discuss composition of air and sources of pollution, statistical analysis of monitoring data, role of meteorological factors in pollution dispersion, bioindicators, passive and active sampling methods, and objectives and planning of monitoring programs.
A case study on Air Pollution in Cement IndustrySakib Shahriar
Air pollution is a major problem in Bangladesh. Cement industries are one of the most top contributors to GDP. They produce a lot of pollution in the environment. Local manufacturers do not maintain the requirement of the Department of Environment (DOE). This paper aims to study the pollution sources, emission inventory, emission monitoring, air pollution modeling, and pollution control equipment in the cement industry. Sample air pollution modeling is shown in AERMOD software. Finally, some recommendation was done in the paper.
The document presents information on emerging technologies for air quality monitoring. It discusses various air pollutants like particulate matter, carbon monoxide, nitrogen oxides, and sulfur dioxides. It also describes different air sampling processes and the application of air quality index (AQI) to report daily air quality levels. The document outlines the objectives to analyze air quality data from pollution control boards and use sensors to provide cautionary values to alert people and improve air quality. It discusses literature review on indoor air quality and wireless sensor networks for air monitoring.
AMBIENT AIR POLLUTANTYS SAMPLING AND ANALYSIS.pptxAniketChavan72
This document provides information on measuring ambient air pollutants through sampling and analysis. It discusses the objectives of ambient air monitoring to assess air quality, health impacts, and effectiveness of pollution controls. It describes the major air pollutants that are monitored, including particulate matter, SO2, NO2, CO, and others. Methods for both manual and continuous air pollution monitoring are covered. Recommended minimum numbers of monitoring stations are provided based on population. Techniques for sampling air pollutants and the factors that determine pollutant concentrations are outlined. Common equipment used includes respirable dust samplers, filter papers, gas manifolds, and UV-visible spectrophotometers. Methods of measurement for SO2, NO2
This document discusses air quality sampling and monitoring. It covers topics such as defining air quality, common air sampling techniques like static and grab sampling, procedures for site selection and equipment calibration. It also discusses various air pollution control equipment options like gravitational chambers, cyclones, and electrostatic precipitators. Finally, it outlines some key aspects of legislation in India for controlling air pollution, including the Air Prevention and Control of Pollution Act of 1981.
It will guide to about the air sampling process which is essential step before you proceed for any type of research regarding air pollution, pollutants and health effects.
Air quality management involves monitoring air pollutants like particulate matter, sulfur oxides, nitrogen oxides, and carbon monoxide through various sampling and analytical techniques. Key aspects include establishing air quality standards, determining emission reduction needs, and enforcing compliance through multi-level collaboration between government agencies, regulated industries, and the public. Monitoring methods like high-volume air sampling and stack sampling are used to test for suspended particulate matter, sulfur dioxide, nitrogen oxides, and carbon emissions.
This document discusses air pollution engineering topics including air emissions modelling and sampling, and air pollution abatement equipment. It provides definitions of air pollution and classifications of air pollutants. It also describes common methods for air sampling and modelling to measure and estimate air pollution levels. Finally, it outlines environmental risk assessment procedures and discusses common equipment used to control and remove airborne particulates like electrostatic precipitators and fabric filters.
Accuracy Improvement of PM Measuring Instrumentsijtsrd
The PM10 concentration in the underground areas should be monitored to protect the health of the commuters in the underground subway system. The purpose of this work is to study the reliability of the instruments using light scattering method to measure the PM10 concentrations continuously. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. Some experimental results show that a linear regression technique would be very helpful for the performance improvement of light scattering instruments such as Air test PM2500 and HCT 4103. Tae-In Hyon | Gyu-Sik Kim "Accuracy Improvement of PM Measuring Instruments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26722.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/26722/accuracy-improvement-of-pm-measuring-instruments/tae-in-hyon
IRJET- Aircop – An Air Pollution Monitoring DeviceIRJET Journal
1. The document describes a device called AIRCOP that was developed for remote monitoring of air pollution factors using Internet of Things technology.
2. AIRCOP monitors carbon monoxide, air quality, particulate matter, temperature, humidity, atmospheric pressure, and wind speed using low-cost sensors.
3. The sensor data is sent to a cloud-based IoT platform called Thingspeak where it is stored and visualized, allowing continuous monitoring of environmental conditions.
Learn the Tricks to Get the Best from Your City Ambient Air Quality Monitorin...Prasad Modak
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
2008-12 WMO GURME - Air Pollution Monitoringurbanemissions
The document discusses various methods for monitoring air pollution:
1) Different types of monitors are used to measure parameters like particulate matter, ozone, nitrogen oxides at various time resolutions from hourly to daily to provide data for compliance, trends analysis, and model verification.
2) Monitors include continuous gas analyzers, filter samplers, beta attenuation monitors, nephelometers, as well as more specialized equipment like ozonesondes, lidar, and aircraft.
3) The number, location and type of monitors needed depends on the objectives of the monitoring program and balances factors like cost, time resolution, and spatial coverage of the data.
EnviroConnect is a web-based environment quality monitoring system that collects data from devices monitoring stack emissions, ambient air quality, and water quality. It allows users to view data in real-time, configure alarm thresholds, generate reports, and send data to pollution control boards. The system is designed according to India's CPCB guidelines and can be deployed either locally or on a nationwide network. It has been implemented in over 50 industries across India to monitor their emissions and effluent quality.
Measurement of ambient air pollutants, sampling and analysisAbhishek Tiwari
The document summarizes air pollution monitoring training conducted at the Analytical and Environmental Engineering Laboratory in Ranchi, India. Over the course of 5 days, participants learned air sampling techniques and how to use equipment like a respirable dust sampler to measure concentrations of PM10, PM2.5, SO2, and NO2 in ambient air. Samples collected during fieldwork were then analyzed, and concentrations of pollutants were found to be within regulatory limits set by India's Central Pollution Control Board.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Cities operate ambient air quality monitoring networks but often do not analyze and interpret the data. Data gets simply "stacked". Networks are not configured correctly capturing the data trends and monitoring objectives. This presentation provides guidance and uses Mumbai's ambient air quality data to illustrate application
IRJET - Prediction of Air Pollutant Concentration using Deep LearningIRJET Journal
This document describes a study that used artificial neural networks to predict PM2.5 air pollutant concentration levels in Manali, Chennai, India. The study collected data on PM2.5 levels as well as factors like NO2, SO2, CO, relative humidity, and wind speed over a three year period. An artificial neural network model with feed-forward backpropagation was developed using this data, with 6 input nodes (for each pollutant/factor) and 1 output node (for PM2.5 levels). The model was trained on 70% of the data and tested on the remaining 15%, achieving a correlation coefficient between predicted and observed PM2.5 of 0.8. The study demonstrated that artificial neural
Air monitoring legislation is getting stricter. At the beginning of 2018, France made air monitoring mandatory in schools and daycares and the EU top court issued one last warning to the UK, Poland and seven other member states to respect air pollutant limits. Clearly, air monitoring is at the table now and organizations are under pressure to monitor air pollutants continuously.
In this webinar, indoor and outdoor air quality experts, Malak Rizk and Jean-Philippe Monfet provide a brief overview of the state of air quality in the US and the EU and then discuss ways to measure indoor and outdoor air pollutants and EPA recommended factors to keep in mind when choosing an air monitoring device.
Detection air pollution based on infrared image processingTELKOMNIKA JOURNAL
This paper proposes a method of detecting air pollution in a region using image processing techniques. The image used is the infrared image that obtained using a modified digital camera by mounting the SRS filter. Image processing technique used is to utilize wavelet transformation. Pollutants are detected based on the average number of white pixels that appear on the image. This white pixel appears due to the reflection of the wavelength of the pollutant that hits the sensor on the camera. From the results of the proposed method detection is known that the highest pollution occurs in 12.00 which is the busiest traffic time and the lowest pollution occurred in 08.00 where the traffic passing through the area has not been crowded.
This document describes procedures for monitoring sulfur dioxide (SO2) in ambient air. It discusses two mechanical methods for SO2 monitoring that were selected for their reliability and cost. The document provides detailed instructions for using the pararosaniline method to measure SO2 concentrations in the range of 25 to 1000 ug/m3. The method involves collecting air samples using absorbing reagents, then analyzing the samples colorimetrically based on the reaction of SO2 with pararosaniline dye to measure absorbance. Interferences are minimized through use of reagents like sulfamic acid and adjustments to sampling and analysis procedures.
Appropriate Instruments & techniques for Complying with Air Quality StandardsECRD IN
This document discusses appropriate instruments and techniques for complying with new ambient air quality monitoring standards. It provides details on various methods for monitoring key air pollutants like sulfur dioxide (SO2), nitrogen oxides, particulate matter and more. The Improved West and Gaeke method and Ultraviolet Fluorescence are described as techniques for measuring SO2 levels using absorptive and fluorescent properties. Site selection, quality control measures, and guidelines from pollution control organizations are also summarized.
Air quality monitoring guidelines pre chaptersECRD2015
This document provides guidelines for air quality monitoring, covering topics such as introduction to air quality, basic statistics in air quality monitoring, meteorology and its relationship to air quality, various air quality monitoring techniques, and strategies for managing air quality in Indian cities. It includes 8 chapters that discuss composition of air and sources of pollution, statistical analysis of monitoring data, role of meteorological factors in pollution dispersion, bioindicators, passive and active sampling methods, and objectives and planning of monitoring programs.
A case study on Air Pollution in Cement IndustrySakib Shahriar
Air pollution is a major problem in Bangladesh. Cement industries are one of the most top contributors to GDP. They produce a lot of pollution in the environment. Local manufacturers do not maintain the requirement of the Department of Environment (DOE). This paper aims to study the pollution sources, emission inventory, emission monitoring, air pollution modeling, and pollution control equipment in the cement industry. Sample air pollution modeling is shown in AERMOD software. Finally, some recommendation was done in the paper.
The document presents information on emerging technologies for air quality monitoring. It discusses various air pollutants like particulate matter, carbon monoxide, nitrogen oxides, and sulfur dioxides. It also describes different air sampling processes and the application of air quality index (AQI) to report daily air quality levels. The document outlines the objectives to analyze air quality data from pollution control boards and use sensors to provide cautionary values to alert people and improve air quality. It discusses literature review on indoor air quality and wireless sensor networks for air monitoring.
AMBIENT AIR POLLUTANTYS SAMPLING AND ANALYSIS.pptxAniketChavan72
This document provides information on measuring ambient air pollutants through sampling and analysis. It discusses the objectives of ambient air monitoring to assess air quality, health impacts, and effectiveness of pollution controls. It describes the major air pollutants that are monitored, including particulate matter, SO2, NO2, CO, and others. Methods for both manual and continuous air pollution monitoring are covered. Recommended minimum numbers of monitoring stations are provided based on population. Techniques for sampling air pollutants and the factors that determine pollutant concentrations are outlined. Common equipment used includes respirable dust samplers, filter papers, gas manifolds, and UV-visible spectrophotometers. Methods of measurement for SO2, NO2
Assessment of Air Quality in and Around Raichur Thermal Power Station, RaichurIRJET Journal
The study assessed ambient air quality around the Raichur Thermal Power Station in Raichur, Karnataka, India. Air quality was monitored at three locations for 45 days. Stack emissions were also monitored from all 8 units. The study found that particulate matter concentrations were highest near the hospital area due to wind patterns. Concentrations decreased with distance from the power plant. Sulfur dioxide and nitrogen oxide concentrations from the stacks did not meet standards. The electrostatic precipitators operating on the units were found to have over 99.8% efficiency in reducing particulate emissions. However, concentrations of pollutants around the plant still exceeded national air quality standards in some locations.
Assessment of Air Quality in and Around Raichur Thermal Power Station, RaichurIRJET Journal
The study assessed ambient air quality around the Raichur Thermal Power Station in Raichur, Karnataka, India. Air quality was monitored at three locations for 45 days. Stack emissions were also monitored from all 8 units. The study found that particulate matter concentrations were highest near the hospital area due to wind patterns. Concentrations decreased with distance from the power plant. Sulfur dioxide and nitrogen oxide concentrations from the stacks did not meet standards. The electrostatic precipitators operating on the units were found to have over 99.8% efficiency in reducing particulate emissions. However, concentrations of pollutants around the plant still exceeded national air quality standards in some locations.
STUDY ON AMBIENT AIR QUALITY MONITORING FROM GOVT POLYTECHNIC COLLEGE TO GUTT...IRJET Journal
This document summarizes a study on ambient air quality monitoring between Government Polytechnic College and Guttur Road in Harihara City, India. Air quality was monitored over two months at five sites for pollutants SPM, SO2, and NO2. In April and May, air quality was best at A K Colony and Guttur Road with an impact of minimal. Government Polytechnic College and Shivamogga Circle had satisfactory air quality with minor impacts. Harapanahalli Circle had the highest pollution levels and moderate impacts including breathing difficulties. Overall, the study found air quality within permissible limits according to the air quality index.
Assessment of Variation in Concentration of Air Pollutants Within Monitoring ...IRJET Journal
This document summarizes a study that assessed variation in air pollutant concentration across 12 monitoring stations in Mumbai, India. The study analyzed monthly pollution data from 2020-2021 for 7 pollutants (PM2.5, PM10, NO2, NH3, SO2, CO, ozone) from the Central Pollution Control Board. Statistical analysis using ANOVA and Tukey's HSD post-hoc test identified pairs of stations without significant differences in pollutant concentrations across all 7 pollutants. This analysis could help identify redundant monitoring stations. The study also used logistic regression to predict air quality class based on factors like tree cover, population density, temperature, and more.
This document provides information on ambient air quality standards and monitoring in India. It discusses the National Ambient Air Quality Standards for various pollutants such as PM10, PM2.5, SO2, NO2, and O3. It also describes the methodology for sampling and measuring particulate matter levels, including the equipment used and calculations to determine pollutant concentrations. Additionally, it introduces India's National Air Quality Index system which converts levels of various air pollutants into a single number index value from 0 to 500.
1) Air filters play an essential role in indoor ventilation systems by removing harmful particles from the air, improving indoor air quality and health.
2) Standards such as EN 779 and EN ISO 16890 define filtration performance of air filters and classify them based on their efficiency in removing particles of various sizes.
3) Key particle removal mechanisms in air filters include interception, inertia, diffusion and electrostatics, with different mechanisms dominating depending on the particle size.
Monitoring and assessment of air quality with reference to dust particles (pm...eSAT Publishing House
This document summarizes a study on monitoring and assessing air quality with respect to dust particles (PM10 and PM2.5) in the urban environment of Visakhapatnam, India. Sampling was conducted in residential, commercial, and industrial areas from October 2013 to August 2014. The average PM2.5 and PM10 concentrations were within limits in residential areas but moderate to high in commercial and industrial areas. Exceedance factor levels indicated moderate pollution for residential areas and moderate to high pollution for commercial and industrial areas. There is a need for management measures like improved public transport and green spaces to combat particulate air pollution in the study areas.
The document provides information about an internship program conducted at Vimta Labs Ltd in Coimbatore, India. It discusses the company profile and services provided by Vimta related to environmental assessments, monitoring, and chemistry. It also outlines the objectives of the internship which were to monitor ambient air quality in an industrial estate, compare results to national standards, and calculate the air pollution index. The methodology section describes the various instruments and parameters used to monitor ambient air, stack emissions, water quality, noise, and light levels.
IRJET- Air Pollution Monitoring System using the Internet of ThingsIRJET Journal
This document describes an air pollution monitoring system using the Internet of Things (IoT). The system uses sensors to detect harmful gases like CO2, NOx, and smoke. It displays the air quality levels in parts per million on an LCD screen and online. When pollution levels exceed a threshold, an alarm is activated. The system measures temperature and humidity as well. Data is sent to a web server via WiFi so that air quality can be monitored remotely. The goal is to provide real-time air quality information to raise awareness and help reduce pollution by informing people about pollution levels in different areas.
IRJET- Design of Eco Friendly System in Automobile for Environmental SafetyIRJET Journal
This document discusses the design of an eco-friendly system to monitor vehicle emissions. The system would use sensors to measure levels of harmful gases in a vehicle's exhaust, like carbon monoxide, nitrogen oxides, hydrocarbons and oxygen. It would display the emission levels to the driver using an OLED display to increase awareness of engine health and emissions. For high emission levels, the system could cut off the vehicle's ignition using a controller. The document reviews different sensor technologies that could be used to monitor the key gases and aims to help reduce environmental pollution from vehicle emissions.
Smart Air Purifier with Air Quality Monitoring SystemIRJET Journal
The document summarizes a research paper on the development of a smart air purifier with air quality monitoring. Key points:
1) Researchers developed an air purifier equipped with sensors to monitor air quality indicators like temperature, humidity, and air quality index. It displays readings on an LCD screen.
2) The purifier uses HEPA and activated carbon filters to remove particles and odors from the air. It also includes a UV-C lamp to kill viruses.
3) An Arduino microcontroller is used to process sensor data and control the purifier. Calculations were done to select an appropriate fan capacity for the purifier based on room size.
4) Testing showed the purifier was
Technical engineering in industrial ippc as a key tool for ambient air qualit...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Pipeline Monitoring Using Vibroacoustic Sensing – A ReviewIRJET Journal
This document reviews pipeline monitoring using vibroacoustic sensing. It discusses how vibroacoustic sensing uses acoustic and vibration sensors along pipelines to detect leaks, impacts, and other issues. A network of these sensors records signals that can identify locations of problems. The document outlines testing procedures used to simulate various events and evaluate the monitoring system's performance at detecting things like leaks, pig tracking, and impacts at different pressures and distances. It also reviews existing pipeline monitoring methods and the proposed use of acoustic waves to remotely monitor pipeline health by detecting abnormal wave propagation patterns from issues like leaks.
Prediction of Air Quality Influential Factors with AtmosphericAir Present Pol...IRJET Journal
This document discusses using multiple regression analysis to predict air quality factors based on atmospheric pollutant data from an Italian city. The study uses hourly concentration data for CO, hydrocarbons, benzene, nitrogen oxides, and nitrogen dioxide from 2004-2005. Regression coefficients are estimated to determine how variables correlate with each other. Evaluation metrics like R-squared and adjusted R-squared are calculated, and actual vs predicted values are graphed. The results show the regression model can effectively predict air quality factors based on pollutant concentrations. Future work could involve using deep learning on real-time data.
IRJET- Analysis and Prediction of Air QualityIRJET Journal
This document discusses air pollution prediction using machine learning techniques. It begins with an introduction to air pollution, defining it as the introduction of harmful substances into the atmosphere. The six main criteria air pollutants are then described: ozone, particulate matter, carbon monoxide, nitrogen dioxide, sulfur dioxide, and lead. Common machine learning techniques for air pollution prediction are also introduced, including supervised learning algorithms like random forests and support vector machines, and unsupervised learning algorithms like k-means clustering. The document concludes that machine learning provides opportunities for improved air pollution prediction by analyzing historical pollution data.
AIR QUALITY MONITORING FROM DHAMORA TO AMBEDKAR PARK IN URBAN AREAS OF RAMPUR...IRJET Journal
This document summarizes a study that monitored air quality along a 15 km stretch of road from Dhamora to Ambedkar Park in Rampur, Uttar Pradesh, India. PM2.5 and PM10 concentrations were measured at 6 locations along the route during July 2022. The highest average concentrations of PM2.5 (38 μg/m3) and PM10 (43 μg/m3) were observed at Shankarpur, likely due to traffic congestion. While within national standards, some readings exceeded WHO guidelines. In general, particulate levels were highest during morning and evening rush hours. The study concluded traffic and construction activities contributed to elevated outdoor PM levels along the monitored route.
IRJET- Inquisitive Analytics of Diverse Exhaust System Contingent to PollutionIRJET Journal
This document discusses the role of vehicle exhaust systems in reducing air pollution. It analyzes data from vehicles with short, medium, and long exhaust systems. The results show that vehicles with longer exhaust systems produce higher emissions of carbon monoxide and hydrocarbons compared to vehicles with shorter exhaust systems. This is because longer exhaust systems increase back pressure, reducing engine efficiency and increasing fuel consumption and emissions. To reduce pollution, exhaust systems should have minimum length to limit back pressure.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Similar to IRJET- Assessment and Characterization of Dust in Surface Mine at Different Working Conditions- A Case Study (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.