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
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
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
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
Air pollution Control Methods and Equipments by AmitabhAmitabh Gupta
This ppt shows Control methods of Air Pollution at Source level, reduction of air pollution at the individual level and innovation to control air pollution worldwide.
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
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
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
Air pollution Control Methods and Equipments by AmitabhAmitabh Gupta
This ppt shows Control methods of Air Pollution at Source level, reduction of air pollution at the individual level and innovation to control air pollution worldwide.
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
National ambient air quality standards 2009.pdfShrenikMehar
National ambient air quality standards 2009 was a act taken by indian government to have control on amount of harmful substances released in environment. This act was made way before in 90s but refurbished in 2009 once again with some modifications in values of those toxic substances
The Gaussian plume model is the most common air pollution model. It is based on a simple formula that describes the three-dimensional concentration field generated by a point source under stationary meteorological and emission conditions.
Lecture notes of Environmental Engineering-II as per Solapur university syllabus of TE CIVIL.
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K Orchid college of Engg and Technology,
Solapur
Air Pollution control- at source-equipments for control of air pollution-For particulate matter-Settling chambers-Fabric filters-Scrubbers-Cyclones-Electrostatic precipitators
, For Gaseous pollutants-control by absorption-adsorption-scrubbers-secondary combustion after burners, Working principles advantages and disadvantages
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
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
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.
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
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
Meteorological Factors Influencing Air Pollution And Atmospheric Stability ...NiranjanHiremath12
1. Meteorology2.Air Pollution Meteorology3.Benefits Of Analyzing Meteorological Data
4. Meteorological Factors Influencing Air Pollution
4.1 Primary parameters
4.1.1 Wind Direction And Speed
4.1.2 Temperature inversion
4.1.3 Atmospheric Stability
4.1.4 Mixing Height or Mixing Depth
4.2 Secondary parameter
4.2.1 Precipitation
4.2.2 Humidity
4.2.3 Solar radiation
4.2.4 Visibility
5. Methods for measurement of meteorological variable
6. Lapse Rate in Air Pollution Meteorology
7. Atmospheric Stability
7.1 Super Adiabatic
7.2 Sub Adiabatic
8. Plume Behaviours
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
National ambient air quality standards 2009.pdfShrenikMehar
National ambient air quality standards 2009 was a act taken by indian government to have control on amount of harmful substances released in environment. This act was made way before in 90s but refurbished in 2009 once again with some modifications in values of those toxic substances
The Gaussian plume model is the most common air pollution model. It is based on a simple formula that describes the three-dimensional concentration field generated by a point source under stationary meteorological and emission conditions.
Lecture notes of Environmental Engineering-II as per Solapur university syllabus of TE CIVIL.
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K Orchid college of Engg and Technology,
Solapur
Air Pollution control- at source-equipments for control of air pollution-For particulate matter-Settling chambers-Fabric filters-Scrubbers-Cyclones-Electrostatic precipitators
, For Gaseous pollutants-control by absorption-adsorption-scrubbers-secondary combustion after burners, Working principles advantages and disadvantages
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
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
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.
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
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
Meteorological Factors Influencing Air Pollution And Atmospheric Stability ...NiranjanHiremath12
1. Meteorology2.Air Pollution Meteorology3.Benefits Of Analyzing Meteorological Data
4. Meteorological Factors Influencing Air Pollution
4.1 Primary parameters
4.1.1 Wind Direction And Speed
4.1.2 Temperature inversion
4.1.3 Atmospheric Stability
4.1.4 Mixing Height or Mixing Depth
4.2 Secondary parameter
4.2.1 Precipitation
4.2.2 Humidity
4.2.3 Solar radiation
4.2.4 Visibility
5. Methods for measurement of meteorological variable
6. Lapse Rate in Air Pollution Meteorology
7. Atmospheric Stability
7.1 Super Adiabatic
7.2 Sub Adiabatic
8. Plume Behaviours
Aerodynamics Part I of 3 describes aerodynamics of wings and bodies in subsonic flight.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website at http://www.solohermelin.com.
Calibrating a CFD canopy model with the EC1 vertical profiles of mean wind sp...Stephane Meteodyn
For some projects, applying the basic rules of EC1 is not sufficient, and it is required to get a more accurate estimation of the wind speed on the construction site. This can be done by using computational fluid dynamics codes which have the advantage, both to take into account of the terrain inhomogeneity and to calculate 3D orographic effects. In this way, the orography and roughness effects are coupled as they are in the real world. However, applying CFD computations must be in coherence with EC1 code. Then it is necessary to calibrate the ground friction for low roughness terrains as well as the drag force and turbulence production in case of high roughness lengths due to the presence of a canopy (forests or built areas). That is the condition for such methods to be commonly used and agreed by Building Control Officers. In this mind, TopoWind has been developed especially for wind design applications and can be a very useful, practical and objective tool for wind design engineers. The canopy model implemented in TopoWind has been calibrated in order to get the mean wind and turbulence profiles as defined in the EC1 for standard terrains. In this way, TopoWind computations satisfy the continuity between the EC1 values for homogeneous terrains and the more complex cases involving inhomogeneous roughness or orographic effects
Solutions manual for thermodynamics an interactive approach 1st edition by bh...Beckham000
Solutions Manual for Thermodynamics An Interactive Approach 1st Edition by Bhattacharjee IBSN 9780133807974
Download at:
http://downloadlink.org/p/solutions-manual-for-thermodynamics-an-interactive-approach-1st-edition-by-bhattacharjee-ibsn-9780133807974/
thermodynamics an interactive approach bhattacharjee pdf
thermodynamics an interactive approach pdf
thermodynamics an interactive approach solutions manual pdf
thermodynamics bhattacharjee solutions
Lecture notes of Environmental Engg-II as per syllabus of solapur university for TE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K Orchid College of Engg and Technology,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
Lecture notes of Industrial Waste Treatment (Elective -III) as per syllabus of Solapur university for BE Civil
Prepared by
Prof S S Jahagirdar,
Associate Professor,
N K ORchid College of Engg and Tech,
Solapur
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
3. Stability Classes
• Developed for use in dispersion models
• Stability classified into 6 classes (A – F)
• A: strongly unstable – Large lapse rates
• B: moderately unstable
• C: slightly unstable
• D: neutral- Less or zero lapse rate
• E: slightly stable – mild inversion
• F: moderately stable – moderate to severe
inversion
5. General Structure of Air Pollution Models
Air Quality Model
Output:
Concentration Distribution
Input 1:
Emissions
Input 2:
Meteorology
Input 3:
Atmospheric
Chemistry
Prof S S Jahagirdar, NKOCET
Input 4:
Surface Properties
5
6. Air Pollution modeling :Parameters in Models
1. Source Parameters (Emission Characteristics)
Emission rates of pollutants (mass/time)
Physical location of source
Temperature of gas release
Plume Rise
2. Meteorology
Atmospheric temp.
Atmospheric stability (needed for Dipersion
coefficients)
Wind velocity
3. Atmospheric Chemistry
Chemical Reaction in the atm.
Depositions (wet or dry)
4. Surface Parameters (Properties)
Surface geometry, roughness, seas, urban or rural
6 areas etc
7. Why Use Dispersion Models?
• Predict impact from proposed and/or
existing development
– NSR- new source review
– PSD- prevention of significant deterioration
• Assess air quality monitoring data
– Monitor location
• Assess air quality standards or guidelines
– Compliance and regulatory
• Evaluate AP control strategies
– Look for change after implementation
7
8. Why Use Dispersion Models?
• Evaluate receptor
exposure
• Monitoring network
design
– Review data
– Peak locations
– Spatial
patterns
• Model Verification
8
9. Model Assumptions
• Gaussian dispersion modeling based on a
number of assumptions including
– Steady-state conditions (constant source emission
strength)
– Wind speed, direction and diffusion characteristics
of the plume are constant
– Mass transfer due to bulk motion in the x-direction
– Conservation of mass, i.e. no chemical
transformations take place
– Wind speeds are >1 m/sec.
– Limited to predicting concentrations > 50 m
downwind
9
17. Maximum Ground Level Concentration
Under moderately stable to near neutral conditions,
s y k1s z
The ground level concentration at the center line is
H2
C x,0,0
exp 2
2
k1s z u
2s z
Q
---------------- Eq - A
The maximum occurs at
dC / ds z 0
H
sz
2
Put in Eq - A
Once sz is determined, x can be known and subsequently C.
C x, 0, 0
17
Q
s ys z u
exp 1 0.1171
Q
s ys z u
18. How to use GDM?
Need to know proper orientations of both
Source and Receptor:
Source at (0,0,H) and Receptor at (x,y,z)
C(x,y,z;H)
Pollutant Emission Rate from source:
Q (mass of pollutant/time)
NOT Volume
flowrate of Stack gas
Atmospheric Stability Category (A, B, C.
etc.)
18
19. Wind velocity at stack height : u
Dispersion Coefficients : σy and σz (can be
determined from graphs)
Effective Stack height: H = hs + Δh
Calculation of Plume rise (Δh ) by any one
formula (Refer lecture on plume rise)
THEN USE GDM
19
C(x,y,z;H) =….
20. Example - 1
• A stack in an urban area is emitting
80 g/s of NO. It has an effective
stack height of 100 m. The wind
speed is 4 m/s at 10 m. It is a clear
summer day with the sun nearly
overhead. Estimate the ground level
concentration at a) 2 km downwind
on the centerline and b) 2 km
downwind, 0.1 km off the centerline.
20
21. Example
1. Determine stability class
Assume wind speed is 4 km at
ground
surface.
Description
suggests strong solar radiation.
Stability class B
21
22. Example
2. Estimate the wind speed at the effective stack
height
Note: effective stack height given – no need to
calculate using Holland’s formula
p
z2
u 2 u1
z
1
Prof S S Jahagirdar, NKOCET
p
100
4
10
0 .2
22
27. Example-2
• An industrial boiler is burning at 12 tons (10.9
mton) of 2.5% sulfur coal/hr with an emission
rate of 151 g/s. The following exist : H = 120 m,
u = 2 m/s, y = 0. It is one hour before sunrise,
and the sky is clear. Determine downwind
ground level concentration at 10 km.
Stability class =
sy =
sz =
C(10 km, 0, 0) =
27
28. Exercise-3
• If emissions are from a ground level source with
H = 0, u = 4 m/s, Q = 100 g/s, and the stability
class = B, what is downwind concentration at
200 m?
At 200 m:
sy =
sz =
C(200 m, 0, 0) =
28
30. Objective Questions
Q1. GDM is used for _____________________
______________________________________.
Q2. σy and σz values depend upon __________.
Q3. In GDM ‘H’ is _________ ___________.
Q4. Greater the wind speed and mixing heights
_______________ will be the concentration of
pollutants.
Q5. Max ground level concentration is given by
_________________ .
30
31. Theory Questions
Q1. What are assumptions made in Gaussian
dispersion model?
Q2. What is Gaussian dispersion equation?
Explain meaning of each and every term in it.
Also give its different forms.
Q3. Write about how to use GDM.
Q4. What is use of Dispersion models?
Q5. Discuss parameters needed for air pollution
modeling.
31