This document presents a literature review on ambient air quality monitoring near a solid waste disposal site in Harihar Taluk, Davangere District, Karnataka, India. It discusses methodologies used in previous studies to determine concentration levels of air pollutants like particulate matter, sulfur dioxide, and nitrogen dioxide near solid waste sites. It also reviews how previous studies have calculated and predicted air quality index values based on measured pollutant concentrations. The objectives of the literature review are to determine pollutant concentration levels near the Harihar solid waste site and compare them to national standards, and to calculate and predict air quality index values for the site.
Studies on Ambient Air Quality Monitoring Near the Solid Waste Disposal Site ...IRJET Journal
This study monitored ambient air quality near a solid waste disposal site in Harihar Taluk, Davangere District, India. Parameters like suspended particulate matter (SPM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were measured using a high-volume air sampler at locations north, south, east, west, and 500m/1.5km from the site. The air quality index (AQI) was calculated and found to range from 0-50, indicating air quality was within national standards and safe for employees. While SPM levels were close to industrial zone standards, SO2 and NO2 concentrations met national ambient air quality standards guidelines at all locations during the study period.
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This document discusses a study on assessing air quality in Delhi, India using the Air Quality Index (AQI). It provides background on air pollution and the importance of measuring AQI. The study calculates daily AQI values over three years for Delhi based on concentrations of pollutants like NO2, SO2, SPM and RSPM. The results show AQI values were regularly unhealthy around 200. SPM and RSPM correlated most strongly with AQI, suggesting they are major contributors to air pollution. Stricter measures are needed to address rising levels of particulate matter and improve air quality.
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.
This document presents a framework for visualizing air quality data. It involves collecting data on various air pollutants, preprocessing the data, using a machine learning model to predict an Air Quality Index, and visualizing the results. Specifically, it trains a random forest regression model on data from the Central Pollution Control Board to predict the AQI based on parameters like PM2.5, PM10, NO2, etc. It then implements the model to make real-time predictions using an API and stores the results in a database. These predictions are visualized on an interactive web page to show users the current air quality levels. The framework aims to help people monitor local air quality and help government organizations address areas with poor air quality.
Air Pollution Prediction via Differential Evolution Strategies with Random Fo...IRJET Journal
This document discusses using a hybrid machine learning technique combining differential evolution and random forest methods to predict air pollution levels. It analyzes data on various pollutants from two cities in India - Delhi and Patna. The proposed approach is experimentally validated to achieve better performance compared to independent classifiers and multi-label classifiers in terms of accuracy, area under the curve, success index and correlation. Differential evolution is used to initialize population and optimize candidate solutions. Random forest creates an ensemble of decision trees to make predictions. The hybrid method is tested on predicting carbon monoxide, nitrogen dioxide and benzene levels using data from a monitoring station in Delhi.
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.
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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 discusses air pollution indices and how they are used. Air pollution indices transform weighted air pollution parameter values like SPM, SO2, CO, NO2, O3, and hydrocarbons into a single number to simply and clearly indicate the air quality level. They inform the public about daily pollution changes, help compare cities, and evaluate enforcement policies. Common calculation methods include relating parameters to standards, averaging ratios to standards, and assigning sub-index values within parameter ranges. Air pollution indices provide a useful way to track air quality changes and facilitate comparisons.
Studies on Ambient Air Quality Monitoring Near the Solid Waste Disposal Site ...IRJET Journal
This study monitored ambient air quality near a solid waste disposal site in Harihar Taluk, Davangere District, India. Parameters like suspended particulate matter (SPM), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were measured using a high-volume air sampler at locations north, south, east, west, and 500m/1.5km from the site. The air quality index (AQI) was calculated and found to range from 0-50, indicating air quality was within national standards and safe for employees. While SPM levels were close to industrial zone standards, SO2 and NO2 concentrations met national ambient air quality standards guidelines at all locations during the study period.
IRJET - Air Quality Index – A Study to Assess the Air QualityIRJET Journal
This document discusses a study on assessing air quality in Delhi, India using the Air Quality Index (AQI). It provides background on air pollution and the importance of measuring AQI. The study calculates daily AQI values over three years for Delhi based on concentrations of pollutants like NO2, SO2, SPM and RSPM. The results show AQI values were regularly unhealthy around 200. SPM and RSPM correlated most strongly with AQI, suggesting they are major contributors to air pollution. Stricter measures are needed to address rising levels of particulate matter and improve air quality.
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.
This document presents a framework for visualizing air quality data. It involves collecting data on various air pollutants, preprocessing the data, using a machine learning model to predict an Air Quality Index, and visualizing the results. Specifically, it trains a random forest regression model on data from the Central Pollution Control Board to predict the AQI based on parameters like PM2.5, PM10, NO2, etc. It then implements the model to make real-time predictions using an API and stores the results in a database. These predictions are visualized on an interactive web page to show users the current air quality levels. The framework aims to help people monitor local air quality and help government organizations address areas with poor air quality.
Air Pollution Prediction via Differential Evolution Strategies with Random Fo...IRJET Journal
This document discusses using a hybrid machine learning technique combining differential evolution and random forest methods to predict air pollution levels. It analyzes data on various pollutants from two cities in India - Delhi and Patna. The proposed approach is experimentally validated to achieve better performance compared to independent classifiers and multi-label classifiers in terms of accuracy, area under the curve, success index and correlation. Differential evolution is used to initialize population and optimize candidate solutions. Random forest creates an ensemble of decision trees to make predictions. The hybrid method is tested on predicting carbon monoxide, nitrogen dioxide and benzene levels using data from a monitoring station in Delhi.
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 discusses air pollution indices and how they are used. Air pollution indices transform weighted air pollution parameter values like SPM, SO2, CO, NO2, O3, and hydrocarbons into a single number to simply and clearly indicate the air quality level. They inform the public about daily pollution changes, help compare cities, and evaluate enforcement policies. Common calculation methods include relating parameters to standards, averaging ratios to standards, and assigning sub-index values within parameter ranges. Air pollution indices provide a useful way to track air quality changes and facilitate comparisons.
Nowadays by seeing the present scenario AIR is the essential element to live & Air Quality Index is a tool to distinguish the benefit of air quality. There are different methods to identify AQI, based on many impurities viz. PM2.5, PM10,CO were used to compare ambient air quality. By calculating AQI we define the quality level of air to be good, moderate, and hazardous as AQI is calculated by using the reference of "The United States Environmental Protection Agency" We are using thingspeak server to fetch the data into the cloud, so anyone can access the data in their respective location. We are not only focusing on stationary measurement but also on the real time value measurement of AQI. Which helps common people to access the Air Quality Index throughout the city and help them decide to stay in a cleaner air environment? Thus the foremost idea of AQI is to inform people about their air quality so they can step to defend their health.
An Analytical Survey on Prediction of Air Quality Indexijtsrd
A drastic increase of modernization gives birth to many industries and automobiles, which intern becomes the very common reason for the environmental issues like Air and water pollutions. Air pollution is the immediate affecting factors in our life, which contaminates the air that we breathe to cause serious health hazards. So it is very important to predict the Air quality index for the future coming days so that proper prompt action can be taken by the concern authorities to curb the same. The air quality reading for the different gases can be collect through the physical sensors and these readings can be used to predict the future Air quality index. Machine learning is acting as the catalyst in this prediction scenario to predict the accurate Air quality index for the future instance. Most of the learning systems need a huge amount of the data for the learning purpose and it is not possible to provide this every time. So it is a need to predict the air quality index by using considerable less amount of past instance data, This paper mainly concentrates on analyzing the past work in prediction of air quality index using machine learning and try to evaluate their flaws and to estimate the new possible way of prediction using machine learning. Suraj Kapse | Akshay Kurumkar | Vighnesh Manthapurvar | Prof. Rajesh Tak "An Analytical Survey on Prediction of Air Quality Index" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28072.pdf Paper URL: https://www.ijtsrd.com/engineering/information-technology/28072/an-analytical-survey-on-prediction-of-air-quality-index/suraj-kapse
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.
EDD Project A35 group. final.pdf Department of ENTCMihirDatir1
This document describes an Arduino-based air monitoring system project. It includes an introduction describing the importance of air quality monitoring. It then lists the components of the system, which uses sensors to measure parameters like temperature, humidity, and carbon dioxide levels. The methodology section explains how the Arduino board will read analog voltage values from the sensors and use those to monitor air quality levels. It will control a filter fan if thresholds are exceeded. The system aims to continuously track air quality and display results to increase pollution awareness. It provides a low-cost solution to monitor indoor and outdoor air quality.
Assessment of Ambient Air Quality of Hoshangabad of M.P.ijtsrd
Air quality assessment is frequently driven by the need to determine whether a standard or guideline has been exceeded. This overshadows another objective of air quality assessment providing the information needed to estimate population exposure to air pollution and the effects on the health of the population. In this study analysis of air pollutants such as PM10, PM2.5, SO2, and NO2, were assessed to determine the ambient air quality of Hoshangabad City. The PM10 and PM2.5 were found moderate for residential area i.e. Meenakshi Chowk and higher than the permissible limit for other monitoring stations. Seasonal variation of PM10 and PM2.5 showed that in winter air quality becomes worst due to low temperature and humidity particulate matter condenses in lower atmosphere. Gaseous air pollutants SO2, and NOx were well below the permissible limit in all the sampling station in all three study years. Seasonal values for SO2 and NO2 were also found within the permissible limits at all the stations and in all the seasons. Deepa Rajput | Dr. O. N. Choubey "Assessment of Ambient Air Quality of Hoshangabad of M.P." Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59941.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/59941/assessment-of-ambient-air-quality-of-hoshangabad-of-mp/deepa-rajput
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
EnvEcon 2015 - Air Pollutant Marginal Damage Values Guidebook for Ireland DSS 1J. Andrew Kelly
This guidebook estimates the marginal damage values of five air pollutants in Ireland: nitrogen oxides, sulphur dioxide, ammonia, non-methane volatile organics, and particulate matter. It finds the total health costs of air pollution in Ireland to exceed €2 billion annually, with over 700 premature deaths. The values are intended to incorporate the external costs of air pollution into policy analyses, but are conservative due to data limitations."
An environmental impact assessment was conducted for a proposed integrated steel plant in Odisha, India. The summary finds:
1) Ambient air quality monitoring found existing PM10 and PM2.5 levels above national standards in the project area. Dispersion modeling also predicted the plant would significantly increase air pollution.
2) The EIA report underestimated health impacts by missing secondary particulate formation and incremental PM2.5 impacts. It also did not account for mercury or heavy metal emissions.
3) Based on estimated annual emissions of 9433 tons of PM, 13,131 tons of NOx, and 11,642 tons of SO2, a health impact assessment was conducted and found significant impacts from increased
Environmental Impact Assessment On Ongoing Construction ProjectIRJET Journal
This document presents the results of an environmental impact assessment conducted on an ongoing construction project. It discusses the methodology and results of tests performed to analyze the impact on various environmental factors. These include water quality testing of groundwater samples, noise level testing at different locations on the construction site, ambient air quality testing to determine gas and dust particle levels, and daylighting analysis to optimize the use of natural light in building design. The test results are within specified limits for various parameters like pH, chloride content, noise levels etc. as per applicable Indian standards. Overall, the assessment found that with recommended mitigation measures, the project's environmental impacts can be managed within acceptable limits to ensure sustainable development.
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 System Using Linear Regression and Machine LearningIRJET Journal
1) The document discusses using machine learning techniques to analyze air quality data from India and predict air quality levels.
2) It evaluates different regression techniques and finds that linear regression best predicts air quality in New Delhi with the lowest mean absolute error.
3) Monitoring air pollution is important for public health as exposure can lead to health problems, and machine learning models can be developed and trained on historical data to predict pollution levels and advise the public.
Air Quality Monitoring System Using Linear Regression and Machine Learning.IRJET Journal
1) The document discusses using machine learning techniques to analyze air quality data from India and predict air quality levels.
2) It evaluates different regression methods like linear regression for predicting pollutants and finds that linear regression provides the most accurate results.
3) The goal is to help monitor air quality in New Delhi, identify pollutants, and predict levels to help address health issues from air pollution and improve quality of life.
This document discusses various methods for environmental impact assessment and calculating pollution indices. It outlines 8 common methods for environmental impact assessment, including checklists, matrices, and predictive/simulation methods. It then focuses on the environmental medium quality index method, describing how factors are identified and assigned weights. The document provides examples of calculating air and water quality indices. The air quality index calculations compare pollutant concentrations to standards, while the water quality index is based on 9 key variables like dissolved oxygen and turbidity. Pollution indices provide a standardized way to measure and compare environmental quality.
Intelligent pollution monitoring using wireless sensor networks eSAT Journals
This document describes an intelligent pollution monitoring system using wireless sensor networks. The system monitors air pollution using gas sensors, water pollution using pH meters, and detects human movement using PIR sensors. When pollution levels exceed standards, it sends SMS alerts to the industry owner and pollution control board. The system aims to control pollution and protect the environment and human health. It provides continuous, real-time pollution monitoring to ensure standards are met.
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
This document provides details about an internship report submitted by Abhinandini Das to the Delhi Pollution Control Committee (DPCC) regarding air quality monitoring and analysis. It includes sections on the objectives of the internship, an introduction to DPCC and its roles, ambient air quality standards, methods of ambient air monitoring including manual and continuous online monitoring, and plans to analyze data on various air pollutants collected from monitoring stations in Delhi. Tables, figures and graphs are provided to illustrate the monitoring instruments and locations as well as preliminary data on particulate matter and other pollutants collected from March to May 2016.
AIR POLLUTION CONTROL course material by Prof S S JAHAGIRDAR,NKOCET,SOLAPUR for BE (CIVIL ) students of Solapur university. Content will be also useful for SHIVAJI and PUNE university students
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This document presents a study analyzing critically polluted areas in Ghaziabad District, Uttar Pradesh, India using a Comprehensive Environmental Pollution Index (CEPI). CEPI is calculated based on Environmental Pollution Indices (EPI) for air, surface water, and groundwater quality at monitoring locations. EPI values are determined by scoring factors related to the pollution source, exposure pathway, health impacts, and adequacy of treatment facilities. Spatial variation of pollutants is analyzed using GIS tools. Results suggest CEPI can help evaluate population exposure to pollutants by considering zone of influence from different emission sources.
This document discusses criteria for setting ambient air quality standards. It outlines several factors that influence decision making for standards, including acceptable health risks, control costs, and scientific judgment. Standards are designed to protect public health from air pollution effects and may establish maximum concentrations. Primary standards protect health, while secondary standards protect welfare. Factors like meteorology, geography, exposure levels, health risks, economics and policies must be considered when setting standards.
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
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Nowadays by seeing the present scenario AIR is the essential element to live & Air Quality Index is a tool to distinguish the benefit of air quality. There are different methods to identify AQI, based on many impurities viz. PM2.5, PM10,CO were used to compare ambient air quality. By calculating AQI we define the quality level of air to be good, moderate, and hazardous as AQI is calculated by using the reference of "The United States Environmental Protection Agency" We are using thingspeak server to fetch the data into the cloud, so anyone can access the data in their respective location. We are not only focusing on stationary measurement but also on the real time value measurement of AQI. Which helps common people to access the Air Quality Index throughout the city and help them decide to stay in a cleaner air environment? Thus the foremost idea of AQI is to inform people about their air quality so they can step to defend their health.
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Air quality assessment is frequently driven by the need to determine whether a standard or guideline has been exceeded. This overshadows another objective of air quality assessment providing the information needed to estimate population exposure to air pollution and the effects on the health of the population. In this study analysis of air pollutants such as PM10, PM2.5, SO2, and NO2, were assessed to determine the ambient air quality of Hoshangabad City. The PM10 and PM2.5 were found moderate for residential area i.e. Meenakshi Chowk and higher than the permissible limit for other monitoring stations. Seasonal variation of PM10 and PM2.5 showed that in winter air quality becomes worst due to low temperature and humidity particulate matter condenses in lower atmosphere. Gaseous air pollutants SO2, and NOx were well below the permissible limit in all the sampling station in all three study years. Seasonal values for SO2 and NO2 were also found within the permissible limits at all the stations and in all the seasons. Deepa Rajput | Dr. O. N. Choubey "Assessment of Ambient Air Quality of Hoshangabad of M.P." Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59941.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/59941/assessment-of-ambient-air-quality-of-hoshangabad-of-mp/deepa-rajput
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
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This document discusses various methods for environmental impact assessment and calculating pollution indices. It outlines 8 common methods for environmental impact assessment, including checklists, matrices, and predictive/simulation methods. It then focuses on the environmental medium quality index method, describing how factors are identified and assigned weights. The document provides examples of calculating air and water quality indices. The air quality index calculations compare pollutant concentrations to standards, while the water quality index is based on 9 key variables like dissolved oxygen and turbidity. Pollution indices provide a standardized way to measure and compare environmental quality.
Intelligent pollution monitoring using wireless sensor networks eSAT Journals
This document describes an intelligent pollution monitoring system using wireless sensor networks. The system monitors air pollution using gas sensors, water pollution using pH meters, and detects human movement using PIR sensors. When pollution levels exceed standards, it sends SMS alerts to the industry owner and pollution control board. The system aims to control pollution and protect the environment and human health. It provides continuous, real-time pollution monitoring to ensure standards are met.
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
This document provides details about an internship report submitted by Abhinandini Das to the Delhi Pollution Control Committee (DPCC) regarding air quality monitoring and analysis. It includes sections on the objectives of the internship, an introduction to DPCC and its roles, ambient air quality standards, methods of ambient air monitoring including manual and continuous online monitoring, and plans to analyze data on various air pollutants collected from monitoring stations in Delhi. Tables, figures and graphs are provided to illustrate the monitoring instruments and locations as well as preliminary data on particulate matter and other pollutants collected from March to May 2016.
AIR POLLUTION CONTROL course material by Prof S S JAHAGIRDAR,NKOCET,SOLAPUR for BE (CIVIL ) students of Solapur university. Content will be also useful for SHIVAJI and PUNE university students
IRJET- Critically Polluted Area Analysis using Comprehensive Environmental Po...IRJET Journal
This document presents a study analyzing critically polluted areas in Ghaziabad District, Uttar Pradesh, India using a Comprehensive Environmental Pollution Index (CEPI). CEPI is calculated based on Environmental Pollution Indices (EPI) for air, surface water, and groundwater quality at monitoring locations. EPI values are determined by scoring factors related to the pollution source, exposure pathway, health impacts, and adequacy of treatment facilities. Spatial variation of pollutants is analyzed using GIS tools. Results suggest CEPI can help evaluate population exposure to pollutants by considering zone of influence from different emission sources.
This document discusses criteria for setting ambient air quality standards. It outlines several factors that influence decision making for standards, including acceptable health risks, control costs, and scientific judgment. Standards are designed to protect public health from air pollution effects and may establish maximum concentrations. Primary standards protect health, while secondary standards protect welfare. Factors like meteorology, geography, exposure levels, health risks, economics and policies must be considered when setting standards.
Similar to A Literature Review on Ambient Air Quality Monitoring Near the Solid Waste Disposal Site Harihar Tq, Davangere Dist (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.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
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.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
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.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.