Through the course of this project, an attempt has been made to formulate, test, and improve an environmental tool (CEPI) to assess the pollution potential of industrial clusters/ areas in India. Several existing methods and approaches were thoroughly studied and analyzed before commencing the work on this project.
It involved a detailed assessment of various environmental indicators and investigation of the status of environmental resources such as land,vegetation, air, and water. Spatial and temporal variations in various environmental indicators have also been analyzed and inferred for this purpose.
This document is a thesis submitted by Tamas Benko to the Budapest University of Technology and Economics for the degree of Doctor of Philosophy in Chemical Engineering. The thesis investigates the applicability of Life Cycle Assessment (LCA) in process engineering to support environmentally-conscious decision making. It examines LCIA methods and their uncertainties, applies LCA to analyze air pollution and waste solvent treatment options, and demonstrates that LCA can help integrate environmental considerations into process design. The research aims to show how numerical LCA tools using single score impact indicators can evaluate alternative technical solutions and determine optimal operational parameters to minimize environmental impacts.
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
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.
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.
Population Vulnerability Assessment Around Alpg Storage And Distribution Faci...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
IRJET- Hydrodynamic Integrated Modelling of Basic Water Quality and Nutrient ...IRJET Journal
This document presents a study that developed a 1D integrated water quality and pollutant transport model for the Swarna River in Udupi district, Karnataka, India. Water quality parameters like dissolved oxygen, biochemical oxygen demand, nutrients, and others were measured at sampling points along a 2km stretch of the river. A finite difference method was used to discretize and solve the advection-diffusion equation governing pollutant transport in the river. The river was divided into grids and reaction-transport processes like advection, dispersion, and sources/sinks were modeled. The study aims to assess current water management practices and effectiveness in the Swarna River basin through dynamic water quality modeling.
This document is a thesis submitted by Tamas Benko to the Budapest University of Technology and Economics for the degree of Doctor of Philosophy in Chemical Engineering. The thesis investigates the applicability of Life Cycle Assessment (LCA) in process engineering to support environmentally-conscious decision making. It examines LCIA methods and their uncertainties, applies LCA to analyze air pollution and waste solvent treatment options, and demonstrates that LCA can help integrate environmental considerations into process design. The research aims to show how numerical LCA tools using single score impact indicators can evaluate alternative technical solutions and determine optimal operational parameters to minimize environmental impacts.
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
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.
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.
Population Vulnerability Assessment Around Alpg Storage And Distribution Faci...inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
IRJET- Hydrodynamic Integrated Modelling of Basic Water Quality and Nutrient ...IRJET Journal
This document presents a study that developed a 1D integrated water quality and pollutant transport model for the Swarna River in Udupi district, Karnataka, India. Water quality parameters like dissolved oxygen, biochemical oxygen demand, nutrients, and others were measured at sampling points along a 2km stretch of the river. A finite difference method was used to discretize and solve the advection-diffusion equation governing pollutant transport in the river. The river was divided into grids and reaction-transport processes like advection, dispersion, and sources/sinks were modeled. The study aims to assess current water management practices and effectiveness in the Swarna River basin through dynamic water quality modeling.
Building capacity in our minority communities sometimes requires weekend meetings with parents and community leaders. This is a presentation given by Brenda Cureton the National STEM Director, National Minority Technology Council.
ASEIN is a Spanish company that has been producing carbon products since 1983. It has a factory and warehouse that use modern machinery to produce over 50 million carbon brushes per year. The company has over 64 employees and exports its products to over 50 countries worldwide. ASEIN offers a full range of carbon brushes for industries such as forklifts, power tools, and mechanical applications.
Wix Labs currently has 17 apps in production with 27 more in development stages. Around 950,000 apps have been installed on sites so far with the top 5 being Blogger, Tumblr, Instagram, Google Calendar, and Countdown Clock. The funnel for editor apps shows 101,721 viewed the app page with 84,639 adding it and 72,085 keeping it installed. The roadmap proposal is to launch 8 new apps, add apps to 4 templates, complete mobile versions, add localization to 10 apps, redevelop Google Calendar, and close work with one vendor. The process will be improved by prioritizing the idea backlog, moving to a pull system, allocating product and design resources, and analyzing
SAP Information Interchange (SAP II) is a product launched in 2010 by SAP and Crossgate to simplify B2B integration. It provides a hub that allows organizations to connect to business partners for electronic document exchange like orders and invoices using standard connectors. This decouples the backend SAP system from the B2B environment and enables rapid, low-cost partner connectivity compared to traditional point-to-point integration methods.
New applications are increasingly built on distributed service architectures, including mobile and cloud-based services which increase the complexity and interdependency of the systems to be tested.
Teams are forced to do performance test earlier in the application lifecycle, before the application is complete or stable with the increased pressure to operate more efficiently, produce valuable results more quickly, and operate with fewer resources.
Learn how Service Virtualization is a critical enabler to allow testers to get started with performance testing from the first sprint.
We will demonstrate how Service Virtualization is an easy-to-use solution that integrated with multiple performance testing tools, resulting in an almost seamless solution for performance engineering and validation.
This document summarizes Shaelyn Walton's experience creating a professional learning network on Twitter. It describes how Walton follows accounts like @TEDTALKS to stay updated on education topics, @EPSBNEWS for local school news, and @WEARETEACHERS for teaching ideas and support. Screenshots show Walton gaining followers and connecting with classmates. Walton concludes that Twitter allows connecting with peers and experts, building a network for questions and ideas, and finding valuable educational resources.
Our mission is to increase home comfort by providing products that capitalize on important market trends. The company achieves this through a range of wireless switches, receivers, and control options that allow users to automate and control lights, appliances, and more from anywhere using a smartphone or tablet. The system is expandable and uses a simple pairing process to add additional devices. Support is provided both online and through multi-language manuals.
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.
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.
Building capacity in our minority communities sometimes requires weekend meetings with parents and community leaders. This is a presentation given by Brenda Cureton the National STEM Director, National Minority Technology Council.
ASEIN is a Spanish company that has been producing carbon products since 1983. It has a factory and warehouse that use modern machinery to produce over 50 million carbon brushes per year. The company has over 64 employees and exports its products to over 50 countries worldwide. ASEIN offers a full range of carbon brushes for industries such as forklifts, power tools, and mechanical applications.
Wix Labs currently has 17 apps in production with 27 more in development stages. Around 950,000 apps have been installed on sites so far with the top 5 being Blogger, Tumblr, Instagram, Google Calendar, and Countdown Clock. The funnel for editor apps shows 101,721 viewed the app page with 84,639 adding it and 72,085 keeping it installed. The roadmap proposal is to launch 8 new apps, add apps to 4 templates, complete mobile versions, add localization to 10 apps, redevelop Google Calendar, and close work with one vendor. The process will be improved by prioritizing the idea backlog, moving to a pull system, allocating product and design resources, and analyzing
SAP Information Interchange (SAP II) is a product launched in 2010 by SAP and Crossgate to simplify B2B integration. It provides a hub that allows organizations to connect to business partners for electronic document exchange like orders and invoices using standard connectors. This decouples the backend SAP system from the B2B environment and enables rapid, low-cost partner connectivity compared to traditional point-to-point integration methods.
New applications are increasingly built on distributed service architectures, including mobile and cloud-based services which increase the complexity and interdependency of the systems to be tested.
Teams are forced to do performance test earlier in the application lifecycle, before the application is complete or stable with the increased pressure to operate more efficiently, produce valuable results more quickly, and operate with fewer resources.
Learn how Service Virtualization is a critical enabler to allow testers to get started with performance testing from the first sprint.
We will demonstrate how Service Virtualization is an easy-to-use solution that integrated with multiple performance testing tools, resulting in an almost seamless solution for performance engineering and validation.
This document summarizes Shaelyn Walton's experience creating a professional learning network on Twitter. It describes how Walton follows accounts like @TEDTALKS to stay updated on education topics, @EPSBNEWS for local school news, and @WEARETEACHERS for teaching ideas and support. Screenshots show Walton gaining followers and connecting with classmates. Walton concludes that Twitter allows connecting with peers and experts, building a network for questions and ideas, and finding valuable educational resources.
Our mission is to increase home comfort by providing products that capitalize on important market trends. The company achieves this through a range of wireless switches, receivers, and control options that allow users to automate and control lights, appliances, and more from anywhere using a smartphone or tablet. The system is expandable and uses a simple pairing process to add additional devices. Support is provided both online and through multi-language manuals.
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.
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.
Comparison of treatment methods for the assessment of environmental impacts o...Premier Publishers
The mud causes considerable pollution impacting several sectors, especially the groundwater system and the staff working on Drilling wells ,so as to mitigate the environmental effects of the sludge on the environment we propose two treatment processes(scenarios 1 and scenario 2) like :Thermal desorption, Stabilization/Solidification off line),these treatments are very privileged and used in the field of treatment of oil muds, in (Hassi-Messaoud) Algeria. We use the "life cycle analysis" to evaluate the environmental impacts of each process (the two scenarios), the environmental impacts of each scenario are compared. Which are performed by the use of models of eco-indicator 99 by software “SIMAPRO7”. This evaluation allowed us to identify and quantify the contributions of emissions on human toxicity, the depletion of resources and the ecosystem quality, which are the main categories of impact in this specific Saharian context. The main substances of the assignment of the environment seem to be the chemicals added to the mud. As regards the comparison of the two treatment scenarios, the thermal desorption could be considered as the best method; it has the lowest impact in the three dominant categories scores, aside from the very large consumption of fossil energy causing from atmospheric emission.
Applying Appropriate Techniques in Environmental Impact Assessment for Air Em...BREEZE Software
This paper explores the practical
and cost-effective approaches and techniques to address the
environmental impact assessment for air emissions based on
the typical chemical use and emission characteristics for
semiconductor processes.
An analysis of environmental impacts of various environmental aspects for ind...eSAT Journals
Abstract This research paper is focused on the study of various environmental aspects and their impacts arising from the Indian manufacturing industries. Our environment is being polluted day by day due to rapid industrialization. Today the delicate ecosystem of our planet is facing a danger of destruction on a scale as never before in the history of mankind. Forests are diminishing at an alarming rate, landmasses are getting eroded, climate in different parts of the world is undergoing a change due to global warming and clean air and water are increasingly becoming rare commodities. So it is high time to be aware and alert about environmental protection which cannot be done without understanding the environmental aspects. Present study tried to explain the significant environmental aspects arising from Indian manufacturing industries by analyzing the data collected through questionnaire survey. It is observed from collected data that emission to air is most significant environmental aspect in Indian manufacturing industries in respect to severity i.e. the effect of this environmental aspect is more harmful for human beings. Noise environmental aspect is having more efficiency, probability and duration, it means this environmental aspect is produced in each and every manufacturing company and affects the environment. Emission to water is second most important environmental aspect with respect to severity, probability and frequency. The degradation of Land Environmental Aspect effects the environment after the emission to water environmental aspect. But acid deposition, use of hazardous substances and production of toxic waste etc. environmental aspects have moderate significance as they have less probability, less frequency and less duration. So, Manufacturing Industries have to make monitoring plan for all these environmental aspects preferably for emission to air, release to water and noise. Key words: Environmental Aspects, Severity, Duration, Probability and Frequency, Degradation of Land, Hazardous Substances.
An analysis of environmental impacts of various environmental aspects for ind...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
Lecture on Environmental Impact Assessment.pdfapratim7
The document discusses various methods for conducting an environmental impact assessment (EIA). It describes the ad hoc, checklist, overlay, matrix, and network methods. The checklist method involves systematically assessing potential environmental impacts using a checklist of components. The overlay method relies on overlaying maps of environmental characteristics. The matrix method examines interactions between project actions and environmental impacts using a table. The network method extends the matrix approach to consider primary, secondary, and tertiary impacts in a tree diagram or impact tree. Scoring and probability are used to quantify overall environmental impact.
The document summarizes a presentation on the history and evolution of risk-based corrective action (RBCA) for environmental remediation. It discusses how RBCA developed from early cleanup standards using total petroleum hydrocarbons to more sophisticated site-specific risk assessment approaches. It also overviewed the global environmental remediation market, noting the US and Europe as leaders and emerging opportunities in Asia and developing countries.
This presentation discusses the history and evolution of risk-based corrective action (RBCA) for assessing and remediating contaminated sites. It describes how RBCA developed from early cleanup standards based on total petroleum hydrocarbons to a tiered risk assessment approach using site-specific data and models. The presentation also discusses the global environmental remediation market and opportunities for international work, particularly in consulting services.
EFFECT OF CONSTRUCTION INDUSTRY ON ENVIRONMENTSona Rawat
This document discusses construction pollution and its impacts. It begins by explaining that construction is a major industry that many people depend on for work but that it also causes various forms of pollution like air, water, noise, and land pollution. It then lists the main types of pollution caused by construction as soil, noise, air, and water pollution. The document outlines how this pollution affects both the environment and human health by increasing diseases. It notes that reducing transportation of materials, controlling noise, and limiting dust from machinery can help minimize pollution from construction sites.
This document provides an analysis of air pollutant distributions from a typical construction site in Brazil. Six major air pollutants are analyzed using the Gaussian plume method. Based on the analysis and air quality standards from Brazil and WHO, emissions of nitrogen dioxide, carbon monoxide, and sulfur dioxide from the construction site pose the highest risk to surrounding areas within 100 meters. Mitigation measures are recommended to control emissions of these pollutants.
Environmental impact assessment (EIA)
In India any person who desires to undertake any new project or the expansion or modernization of any existing industry or project should submit a Rapid Environmental Impact Assessment report along with application to the secretary, Ministry of Environment and Forests (MoEF), New Delhi. Basic types of EIA being practiced are given below.
Rapid Environmental Impact Assessment (REIA)
Comprehensive Environmental Impact Assessment (CEIA)
Strategic Environmental Impact Assessment (SEIA)
Sectoral Environment Impact Assessment
Regional Environmental Impact Assessment
Environmental Impact Assessment Notification in India
EIA is of comparatively recent origin in India and has become an integral part of Environmental Management by EIA notification of 1994 and its subsequent amendments by Ministry of Environment & Forests (MoEF), Govt. of India. The notification specifies 30 categories of projects with potential risks to degrade the Environment.
Purposes of EIA
EIA is a process with several important purposes, which can be categorized as follows:
To facilitate decision-making For the decision-maker, for example the local authority, it provides a systematic examination of the environmental implications of a proposed action, and sometimes alternatives, before a decision is taken
To aid in the formation of development EIA can be of great benefit to them, since it can provide a framework for considering location and design issues and environmental issues in parallel. It can be an aid to the formulation of developmental actions, indicating areas where the project can be modified to minimize or eliminate altogether the adverse impacts on the environment.
To be an instrument for sustainable development The key characteristics of sustainable development include maintaining the overall quality of life, maintaining continuing access to natural resources and avoiding lasting environmental damage.
Principle of EIA
The Benefits of Environmental Assessment
Categorization of projects and activities
Environmental Clearance (EC)
Crude oil and its impact on soil pollution environmental risk assessmentIAEME Publication
This document summarizes a research study on assessing environmental risk from soil pollution by crude oil. It discusses five interrelated modules for environmental risk assessment: 1) hazard identification, 2) hazard assessment, 3) risk estimation, 4) risk assessment, and 5) environmental risk management. Module 1 involves identifying pollution sources and hazards. Module 2 evaluates hazard levels based on soil sample analyses. Module 3 estimates risk probabilities and consequences. Module 4 assesses risk using ALARP (As Low As Reasonably Practicable) criteria. Finally, Module 5 determines risk management remedies like monitoring, prevention, and remedial actions. The methodology provides a structured approach for quantifying environmental risk from crude oil pollution and identifying risk management needs.
CRUDE OIL AND ITS IMPACT ON SOIL POLLUTION: ENVIRONMENTAL RISK ASSESSMENT IAEME Publication
Environmental risk assessment is a scientific activity that includes a significant review of the information or data for quantifying and identifying the risk linked to prospective risk. Risk management is applied to know the need to compel the measures to control and manage the risk. The working methodology in this paper is based on various research studies that relates to environmental risk for soil pollution with hydrocarbons obtained from accidental crude oil spills. Data is required for the separation of gas oil, which is complex, and its assessment of the environmental risk for industrial sites for drilling is done by various quantitative and qualitative methods.
Quantification of rate of air pollution by means ofIJARBEST JOURNAL
To develop efficient strategies for pollution control, it is essential to assess
both the costs of control and the benefits that may result. These benefits will often include
improvements in public health, including reductions in both morbidity and premature
mortality. Until recently, there has been little guidance about how to calculate the benefits
of air pollution controls and how to use those estimates to assign priorities to different air
pollution control strategies. In this work, a method is described for quantifying the benefits
of reduced ambient concentrations of pollutants (such as ozone and particulate matter)
typically found in urban areas worldwide. The method applies the data on Jakara, Indonesia,
an area characterized by little wind, high population density (8 million people), congested
roads, and ambient air pollution. The magnitude of the benefits of pollution control depends
on the level of air pollution, the expected effects on health of the pollutants (dose-response),
the size of the population affected, and the economic value of these effects. In the case of
Jakarta, the methodology suggests that reducing exposure to lead and nitrogen dioxide
should also be a high priority. An important consequence of ambient lead pollution is a
reduction in learning abilities for children, measured as I.Q. loss. Apart from that, reducing
the proportion of respirable particles can reduce the amount of illness and premature
mortality.
A Literature Review on Ambient Air Quality Monitoring Near the Solid Waste Di...IRJET Journal
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.
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.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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The document outlines four options for building material reuse and optimization. Option 1 describes using environmental product declarations for building products. Option 2 involves using products that minimize environmental impacts or are locally sourced. Option 3 requires reporting on raw material sources and commitments to environmental responsibility. Option 4 addresses optimizing building products by eliminating hazardous materials.
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Microbial characterisation and identification, and potability of River Kuywa ...Open Access Research Paper
Water contamination is one of the major causes of water borne diseases worldwide. In Kenya, approximately 43% of people lack access to potable water due to human contamination. River Kuywa water is currently experiencing contamination due to human activities. Its water is widely used for domestic, agricultural, industrial and recreational purposes. This study aimed at characterizing bacteria and fungi in river Kuywa water. Water samples were randomly collected from four sites of the river: site A (Matisi), site B (Ngwelo), site C (Nzoia water pump) and site D (Chalicha), during the dry season (January-March 2018) and wet season (April-July 2018) and were transported to Maseno University Microbiology and plant pathology laboratory for analysis. The characterization and identification of bacteria and fungi were carried out using standard microbiological techniques. Nine bacterial genera and three fungi were identified from Kuywa river water. Clostridium spp., Staphylococcus spp., Enterobacter spp., Streptococcus spp., E. coli, Klebsiella spp., Shigella spp., Proteus spp. and Salmonella spp. Fungi were Fusarium oxysporum, Aspergillus flavus complex and Penicillium species. Wet season recorded highest bacterial and fungal counts (6.61-7.66 and 3.83-6.75cfu/ml) respectively. The results indicated that the river Kuywa water is polluted and therefore unsafe for human consumption before treatment. It is therefore recommended that the communities to ensure that they boil water especially for drinking.
Evolving Lifecycles with High Resolution Site Characterization (HRSC) and 3-D...Joshua Orris
The incorporation of a 3DCSM and completion of HRSC provided a tool for enhanced, data-driven, decisions to support a change in remediation closure strategies. Currently, an approved pilot study has been obtained to shut-down the remediation systems (ISCO, P&T) and conduct a hydraulic study under non-pumping conditions. A separate micro-biological bench scale treatability study was competed that yielded positive results for an emerging innovative technology. As a result, a field pilot study has commenced with results expected in nine-twelve months. With the results of the hydraulic study, field pilot studies and an updated risk assessment leading site monitoring optimization cost lifecycle savings upwards of $15MM towards an alternatively evolved best available technology remediation closure strategy.
Climate Change All over the World .pptxsairaanwer024
Climate change refers to significant and lasting changes in the average weather patterns over periods ranging from decades to millions of years. It encompasses both global warming driven by human emissions of greenhouse gases and the resulting large-scale shifts in weather patterns. While climate change is a natural phenomenon, human activities, particularly since the Industrial Revolution, have accelerated its pace and intensity
Improving the viability of probiotics by encapsulation methods for developmen...Open Access Research Paper
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Water polluted by dyestuffs compounds is a global threat to health and the environment; accordingly, we prepared a green novel sorbent chemical and Physical system from an algae, chitosan and chitosan nanoparticle and impregnated with algae with chitosan nanocomposite for the sorption of Malachite green dye from water. The algae with chitosan nanocomposite by a simple method and used as a recyclable and effective adsorbent for the removal of malachite green dye from aqueous solutions. Algae, chitosan, chitosan nanoparticle and algae with chitosan nanocomposite were characterized using different physicochemical methods. The functional groups and chemical compounds found in algae, chitosan, chitosan algae, chitosan nanoparticle, and chitosan nanoparticle with algae were identified using FTIR, SEM, and TGADTA/DTG techniques. The optimal adsorption conditions, different dosages, pH and Temperature the amount of algae with chitosan nanocomposite were determined. At optimized conditions and the batch equilibrium studies more than 99% of the dye was removed. The adsorption process data matched well kinetics showed that the reaction order for dye varied with pseudo-first order and pseudo-second order. Furthermore, the maximum adsorption capacity of the algae with chitosan nanocomposite toward malachite green dye reached as high as 15.5mg/g, respectively. Finally, multiple times reusing of algae with chitosan nanocomposite and removing dye from a real wastewater has made it a promising and attractive option for further practical applications.
Kinetic studies on malachite green dye adsorption from aqueous solutions by A...
A project report on indexing of similar group of industries based on various environmental parameters
1. Mukul Kumar (11CH10026)
1
A Project Report on
Indexing of similar group of industries based on
various environmental parameters
Submitted By:
Mukul Kumar
11CH10026
Under the guidance of
Prof. B. C. Meikap
Department of Chemical Engineering
Indian Institute of Technology
Kharagpur (721302)
2. Mukul Kumar (11CH10026)
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CertificateCertificateCertificateCertificate
This is to certify that the project titled “Indexing of similar group of
industries based on various environmental parameters”, which is
being submitted by Mukul Kumar (11CH10026) in fulfillment of the
requirements of the degree of Bachelor of Technology(Hons.) in Chemical
Engineering , is a bona fide record of the work carried out by him under
my guidance and supervision.
Signature- ------------------------------
Prof. B.C. Meikap
Department of Chemical Engineering
Indian Institute of Technology, Kharagpur
3. Mukul Kumar (11CH10026)
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ACKNOWLEDGEMENT
My heart pulsates with the thrill for tendering gratitude to those persons who have
helped me in workings of the project.
First and foremost, I would like to express my gratitude and indebtedness to Prof. B.C.
Meikap, for his inspiring guidance, constructive criticism and valuable suggestion
throughout this project work. I am sincerely thankful to him for his able guidance and
pain taking effort in improving my understanding of this project.
Last but not least, my sincere thanks to all my friends who have patiently extended
all sorts of help for accomplishing this undertaking.
Mukul Kumar
11CH10026
Department of Chemical Engineering
Indian Institute of Technology, Kharagpur
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ABSTRACT
Through the course of this project, an attempt has been made to
formulate, test, and improve an environmental tool (CEPI) to assess the
pollution potential of industrial clusters/ areas in India. Several existing
methods and approaches were thoroughly studied and analyzed before
commencing the work on this project.
It involved a detailed assessment of various environmental indicators and
investigation of the status of environmental resources such as land,
vegetation, air, and water. Spatial and temporal variations in various
environmental indicators have also been analyzed and inferred for this
purpose.
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TABLE OF CONTENTS
Page
1.) Aim Of The Project 6
1.1) Specific Objectives 6
2.) Scoring methodology for Comprehensive Environmental Pollution Index for
Industrial Clusters
6
2.1) Determining critical pollutants 7
2.1.1) Pollutant (up to three most critical pollutants to be taken) 7
2.1.2) Pathway 8
2.1.3) Receptor 10
2.1.4) Additional High-Risk Element 11
2.1.5) Calculation of the Sub-Index 12
2.1.6) Calculation of the Aggregated CEPI 12
3.) Choosing an industry for the project 13
3.1) choosing 5 different thermal power plant for the project 13
3.2) basic introduction to thermal power industry 14
3.3.) from coal to power generation process 15
3.4) environmental impacts of thermal power plants (TPPs) 17
4.) Description of the Environmental Around Chosen Thermal Power Plan 18
4.1) Meteorological attributes of chosen thermal power plants 18
4.2) Land and Soil Characteristics 19
4.3) Coal sources and their characteristics 19
4.4) Water sources and their characteristics 20
4.5) Air Quality Monitoring 20
4.6) Effluents and Noise Levels during Operation Phase 21
5.) Calculation of comprehensive environmental pollution index 22
5.1) critically polluted area- Singrauli 22
5.2) critically polluted area- Korba 25
5.3) critically polluted area- Vindhyachal 27
5.4) critically polluted area- Sipat and Kahalgaon 29
6.) References
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1. AIM OF THE PROJECT
The goal of the present investigation is to prioritize critically polluted industrial
clusters based on scientific criteria.
1.1) Specific Objectives:
• To identify critically polluted industrial clusters and monitoring them at the
national level to improve the current status of environmental components, for
example, air and water quality data, ecological damage, and visual environmental
conditions.
• To facilitate the definition of critically polluted industrial clusters/areas based on
the environmental parameter index and prioritization of an economically feasible
solution through the formulation of an adequate action plan for environmental
sustainability.
Comprehensive Environmental Pollution Index (CEPI) is a rational number to
characterize the quality of the environment at a given location following the
algorithm of source, pathway, and receptor. As CEPI increases, an increasingly large
percentage of the population is likely to experience increasingly severe adverse
health effects. .
2. SCORING METHODOLOGY FOR THE PROPOSED CEPI
The scoring system involves an algorithm that takes into account the basic selection
criteria. This approach is based on the basic hazard assessment logic that can be
summarized as below.
Hazard = pollutant source, pathways, and receptor
Each of these essential links in the causal chain is represented by criteria that are
included in the scoring methodology. CEPI is calculated separately for air, water, and
land in selected industrial cluster/area.
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2.1) Determining critical pollutants
Three most critical pollutants are to be considered for calculation and are divided
into three groups, that is, A, B, and C. In cases with more than three pollutants in the
same category exist, the ones with higher concentrations in the surroundings would
be considered critical.
Calculating pollutant factor A
Factor # A1 based on the groups of the three critical pollutants, following values are
used for calculating A1.
• Group A – A1 = 1
• Group B – A1 = 2
• Group C – A1 = 4
The final value of A1 is calculated by the addition of penalty for the given
combination of critical pollutants to the maximum value of A1 for them.
2.1.1) POLLUTANT (up to three most critical pollutants to be taken)
Factor #A1 – Presence of toxin
Group A – Toxins that are not assessed as acute or systemic = 1
Group B – Organics that are probable carcinogens or VOCs, PAHs, PCBs, PM10 and
PM2.5
Group C – Known carcinogens or vinyl chloride, benzene, lead, radionuclide etc.
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For example, critical pollutants: Benzene – 35.8 μg/m3 (C), RSPM – 172μg/m3 (B), SO2
– 130μg/m3 (A); so, maximum value of A1 is for benzene = 4 and from the table: this
lies in ‘any other combination’ and, hence, the penalty = 0.0. Hence, A1 = 4 + 0 = 4.0
Factor #A2 – Scale of industrial activities
• Large = 5 (if there are
> 10 R17* per 10 km2 area or fraction OR
> 2 R17 + 10 R54** per 10 km2 area or fraction OR
> 100 R54 per 10 km2 area or fraction
*R17 is 17 category of highly polluting industries other than red category
industries categorized by CPCB (list of industries in Appendix 3)
** R54 is red category industries categorized by Central Pollution Control Board
(list of industries in Appendix IV)
• Moderate = 2.5 (if there are 2 to 10 R17 per 10 km2 area or fraction OR 10-100
R54 10 km2 area or fraction.
• Limited = 1 (else there is any industry within 10 km2 area or fraction)
Table 1 Penalty values for combination of most critical pollutants Factor A1
S No. Pollutant 1 Pollutant 2 Pollutant 3 Penalty
1. C C C 2.0
2. C C B/A 1.75
3. C B B/A 1.5
4. B B B/A 1.0
These two factors are taken as multiplicative and so the overall score for this
element is as follows.
SCORE A = A1 × A2 (max score = 6 × 5 = 30)
2.1.2) PATHWAY
Factor #B1 – Ambient Pollutant Concentration
• Critical = 6 (when exceedance factor* is more than 1.5)
• High = 3 (when exceedance factor is between 1 and 1.5)
• Moderate = 2 (when exceedance factor is between 0.5 and 1.0)
• Low = 1 (when exceedance factor is < 0.5)
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*Exceedance factor (F) of any pollutant is given by the ratio of Observed mean
concentration of criteria pollutant to the prescribed standard for the respective
pollutant and area class.
The final value of B1 is calculated by the addition of penalty for the given
combination of critical pollutants to the maximum value of B1 for them.
For example, critical pollutants: Benzene – 35.8μg/m3 (15), RSPM – 172μg/m3 (150),
SO2 – 130μg/m3 (120). So, F (Benzene) = 2.4 and, hence, it is critical (6).
F (RSPM) = 1.14 and, hence, it is high (3)
F (SO2) = 1.08 and, hence, it is high (3)
So, this is corresponding to serial number 2 in the table for Factor # B1 and, hence,
penalty = 1.75 so,
B1 = 6 + 1.75 = 7.75
Table 2 Penalty values for combination of most critical pollutants Factor B1
S No. Pollutant 1 Pollutant 2 Pollutant 3 Penalty
1. Critical Critical Critical/high/moderate 2.0
2. Critical High High/Moderate 1.75
3. High High High 1.5
4. High High Moderate 1.0
Factor #B2 – Evidence* of adverse impact on people
• No = 0 (when no reliable evidence is available)
• Yes (when evidence of symptoms of exposure) = 3
• Yes (when evidence of fatality or disease(s) leading to fatality (such as cancer)
due to exposure) = 6
Factor #B3 – Reliable evidence of adverse impact on eco-geological features
• No = 0 (when no reliable evidence is available)
• Yes (when evidence of symptoms of exposure) = 3
• Yes (when evidence of loss of flora/fauna/significant damage to eco-geological
features,
(Irreparable loss/damage)) = 6
(* Reliable evidence is in form of media reports, hospital records, public interest
litigations (PIL) and NGOs reporting, academic research reports, published literature).
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Overall score for this element is as follows.
SCORE B = B1 + B2 +B3 = (8 + 6 + 6) = 20
2.1.3) RECEPTOR
Factor #C1 – Number of people potentially affected within 2 km radius from the
industrial pollution source.
• <1000 = 1
• 1000 to 10 000 = 1.5
• 10 000 to 100 000 = 3
• >100 000 = 5
Factor #C2 – Level of exposure
A surrogate number, which will represent the level of exposure (SNLF), is calculated
using percentage violation of ambient pollutant concentration, which is calculated as
follows.
SNLF = (Number of samples exceeded/total number of samples) × (Exceedance factor)
– Low = 1 (SNLF = 0)
– Moderate = 1.5 (SNLF < 0.25)
– High = 2 (SNLF 0.25 - 0.5)
– Critical = 3 (SNLF > 0.5)
Factors C1 and C2 are taken as multiplicative. The final value of C2 is calculated by
the addition of penalty for the given combination of critical pollutants to the
maximum value of C2 for them.
For example, critical pollutants: Benzene – exceeded for 8 out of 12 days of monitoring,
RSPM –11 out of 12, SO2 – 4 out of 12
Using the exceedance factor (F) calculated in B1;
SNLF (Benzene) = 2.4*8/12 = 1.6 => Critical (3)
SNLF (RSPM) = 1.14*11/12 = 1.045 => Critical (3)
SNLF (SO2) = 1.08*4/12 = 0.36 => Moderate (1.5)
So, this corresponds to the S No. in the table for Factor # C2 and, hence, the penalty =
2.0. So, C2 = 3 + 2 = 5.
Factor #C3 – Additional risk to sensitive receptors
• No = 0
• Yes (if > 500 sensitive people/ a sensitive historical/ archaeological/ religious/
national parks/ sanctuary/ecological habitat are within 2 km distance from
source, additional risk) = 5
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Table 3 Penalty values for combination of most critical pollutants Factor
C1
S No. Pollutant 1 Pollutant 2 Pollutant 3 Penalty
1. Critical Critical Critical/high/moderate 2.0
2. Critical High High/Moderate 1.75
3. High High High 1.5
4. High High Moderate 1.0
SCORE C = (C1 × C2) + C3 (max score = (5 × 5) + 5 = 30)
2.1.4) ADDITIONAL HIGH-RISK ELEMENT
Factor #D –inadequacy of pollution control measures for large-scale, medium- and
small-scale industries and also due to the unorganized sector). It is cumulative of
effluent treatment plants (ETPs), common effluent treatment plants (CETPs), air
pollution control devises (APCDs), and unorganized waste disposal. Maximum score
= 20.
• If all the industries in the area have adequately designed/operated and
maintained pollution control facilities and also common facilities, such as
CETP/EETP/CHWDF, this means that they have adequate capacity and are
having state-of-the-art technology = 0.
• If all the large industries in the area have adequately designed/operated and
maintained pollution control facilities but small and medium industries are
defaulting = 5.
• If all the industries in the area have adequately designed/operated and
maintained pollution control facilities but the common facilities are having
inadequate in capacity or operation/maintenance = 10.
• If all the large industries in the area have adequately designed/operated and
maintained pollution control facilities but small- and medium-industries are
defaulting = 15.
• Inadequate facilities of individual as well as common facilities, full penalty =
20.
Inadequate facilities - 10% units deficient in terms of design/operation and
maintenance of pollution control in case of small- and medium-scale industries
OR > 2% units deficiency in terms of design/operation and maintenance of
pollution control in case of large-scale industries or common facilities.
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Table 4 Score for additional high-risk element: Factor D
S
No.
Large- scale
industries
Small/medium–
scale industries
Common facilities for
pollution control
Score
1. Adequate Adequate Adequate 0
2. Adequate Inadequate Adequate 5
3. Adequate Adequate Inadequate 10
4. Adequate Inadequate Inadequate 15
5. Inadequate Inadequate Inadequate 20
The status report (last two years) shall be used deciding the score for adequacy.
2.1.5) CALCULATION OF THE SUB-INDEX
After calculating A, B, C and D; calculate the sub index score as:
Sub-Index SCORE = (A + B + C + D) = (30 + 20 +30 +20) = 100
Sub index scores are to be calculated for each of the individual environmental
components that is, Air Environment, Surface Water Environment, and Soil & Ground
Water Environment separately.
2.1.6) Calculation of the Aggregated CEPI
The aggregated CEPI Score can be calculated as.
CEPI = im + {(100 – im) × (i2/100) × (i3/100)}
Where, im – maximum sub index; and i2, and i3 are sub-indices for other media.
For example, a sample table is given below.
Table 3 Penalty values for combination of most critical pollutants Factor C1
Industrial
area/cluster
Air index Water index Land index CEPI (rounded
off)
A 60 60 60 75
B 60 60 50 72
C 60 50 50 70
D 50 50 50 63
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3.) CHOOSING AN INDUSTRY FOR THE PROJECT
For sake of CEPI development for industry, any industry can be chosen. But as per
Prof. B.C. Meikap instruction, thermal power plant (TPP) industry was chosen.
3.1) CHOOSING 5 DIFFERENT THERMAL POWER PLANT FOR THE PROJECT
In Indian thermal power industry, National Thermal Power Corporation Limited
(NTPC) is a key player.it is a Central Public Sector Undertaking (CPSU) under the
Ministry of Power, Government of India, engaged in the business of generation of
electricity and allied activities. In May 2010, it was conferred Maharatna status by
the Union Government of India. It was also listed in Forbes Global 2000 for 2014 at
424th rank in the world. With 17 coal based power stations, NTPC is the largest
thermal power generating company in the country. The company has a coal based
installed capacity of 33,015 MW. So, I have preferred to its 5 power plants.
Now as Indian power grid is suitably divided into 4 regional grids, I have chosen the
5 power grids from Eastern Region Power Grid, namely- Korba, Kahalgaon, Singrauli,
Sipat and Vindhyachal thermal power plants.
NTPC Plant
Name
Installed
capacity
Location Geographical
Location
latitude longitude
Korba STTP 2600
MW
Jamanipali, Korba district,
Chhattisgarh
22.38 N 82.68 E
Kahalgaon
STTP
2340
MW
Kahalgaon, Bhagalpur
district, Bihar
25.14 N 87.15 E
Singrauli
STTP
2000
MW
Shaktinagar, Sonebhadra
district, Uttar Pradesh
24.10 N 82.7 E
Sipat STTP 2980
MW
Sipat, Bilaspur district,
Chhattisgarh
22.13 N 82.29 E
Vindhyachal
STTP
4260
MW
Singrauli, Madhya
Pradesh
24.50 N 82.40 E
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3.2) BASIC INTRODUCTION TO THERMAL POWER INDUSTRY
Thermal Power Plants (TPPs) convert the energy content of an energy carrier (fuel)
into either electricity or heat. The type of power plant employed depends on the
source of energy and type of energy being produced. Possible fuel sources include:
• Fossil fuels such as coal, petroleum products and natural gas
• Residual and waste materials such as domestic and industrial refuse and fuel
made from recovered oil
• Fissionable material
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3.3.) FROM COAL TO POWER GENERATION PROCESS
In a coal based power plant coal is transported from coal mines to the power plant
by railway in wagons or in a merry-go-round system. Coal is unloaded from the
wagons to a moving underground conveyor belt. This coal from the mines is of no
uniform size. So it is taken to the Crusher house and crushed to a size of 20mm. From
the crusher house the coal is either stored in dead storage (generally 40 days coal
supply) which serves as coal supply in case of coal supply bottleneck or to the live
storage(8 hours coal supply) in the raw coal bunker in the boiler house. Raw coal
from the raw coal bunker is supplied to the Coal Mills by a Raw Coal Feeder. The Coal
Mills or pulverizer pulverizes the coal to 200 mesh size. The powdered coal from the
coal mills is carried to the boiler in coal pipes by high pressure hot air. The
pulverized coal air mixture is burnt in the boiler in the combustion zone.
Generally in modern boilers tangential firing system is used i.e. the coal nozzles/
guns form tangent to a circle. The temperature in fire ball is of the order of 1300oC.
The boiler is a water tube boiler hanging from the top. Water is converted to steam in
the boiler and steam is separated from water in the boiler Drum. The saturated
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steam from the boiler drum is taken to the Low Temperature Super heater, Platen
super heater and Final super heater respectively for superheating. The superheated
steam from the final super heater is taken to the High Pressure Steam Turbine (HPT).
In the HPT the steam pressure is utilized to rotate the turbine and the resultant is
rotational energy. From the HPT the out coming steam is taken to the Reheater in the
boiler to increase its temperature as the steam becomes wet at the HPT outlet. After
reheating, this steam is taken to the Intermediate Pressure Turbine (IPT) and then to
the Low Pressure Turbine (LPT). The outlet of the LPT is sent to the condenser for
condensing back to water by a cooling water system. This condensed water is
collected in the Hotwell and is again sent to the boiler in a closed cycle. The
rotational energy imparted to the turbine by high pressure steam is converter to
electrical energy in the Generator.
SCHEMATIC DIAGRAM OF THE PROCESS
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3.4) ENVIRONMENTAL IMPACTS OF THERMAL POWER PLANTS (TPPs)
Direct impacts resulting from construction and ongoing operations include:
Ambient Air Pollution – particulates, sulphur oxides, nitrous oxides, and
other hazardous chemicals and toxic metals like Hg, As etc. Main six criteria
pollutants are sulphur di-oxide (SO2), Carbon Mono-oxide (CO), Nitrogen oxide
(NO2), Ozone (O3), suspended particulates and non-methane hydrocarbons
(NMHC) now referred to as volatile organic compounds (VOC)..
Water Pollution – occurs in local water streams, rivers and ground water
from effluent discharges and percolation of hazardous materials from the
stored fly ash.
Land Degradation – occurs due to alterations of land used for storing fly ash
Noise Pollution – during operation and cause occupational as well as public
health hazards
.
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4.) Description Of The Environmental Around Chosen
Thermal Power Plants-
The natural environment encompasses all living and non-living things occurring
naturally on Earth or some region.
For our purpose, we are considering 6 environmental attributes of TPPs-
1. Meteorological attributes
2. Land and soil characteristics
3. Coal characteristics
4. Water characteristics
5. Air characteristics
6. Effluents And Noise Level
4.1) Meteorological attributes of chosen thermal power plants
NTPC Plant
Name
Mean
Temperature(oC)
Average
Annual
Rainfall
Height
From Sea
Level
Average
Wind
speedMax Min Annual
Average
Korba STTP 35.2 19.8 26.6 1420.7 mm 298 m 1.91
km/hr.
Kahalgaon
STTP
31.3 16.9 25.8 1111 mm 52 m 2.65
km/hr.
Singrauli
STTP
33.4 16.3 24.7 1014 mm 381 m 4.98
km/hr.
Sipat STTP 35.5 20 26.8 1,259 mm 267 m 3.25
km/hr.
Vindhyachal
STTP
33.4 16.3 24.7 1014 mm 381 m 4.98
km/hr.
SOURCE- http://en.climate-data.org/ and Wikipedia
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4.2) Land And Soil Characteristics
The information on soil has been collected from various secondary sources.
Source: EIA reports
4.3) Coal sources and their characteristics
As we have chosen coal-fired TPPs, coal characteristics will have a greater impact
on the environmental outcomes of the TPPs.
NTPC Plant
Name
Coal source Coal characteristics
Ash
content
Average Calorific
value
Sulfur
content
Korba STTP Kusmundha and Gevra
Mines
30-47 3300 0.36-0.4%
Kahalgaon
STTP
Rajmahal expansion
coalfields
36-45% 3300 0.36-0.4 %
Singrauli
STTP
Jayant and Bina mines 35-38 3700 0.4-0.5
Sipat STTP Dipika Mines of South
Eastern Coalfields
Limited
32-40 3600 0.4-0.5
Vindhyachal
STTP
Northern Coalfields
Ltd
30-40% 3200 0.34-.41
Source- MoEF-IIFM-thermal-power-plants, NTPC website and Wikipedia
NTPC Plant
Name
Land(acres) Soil Characteristics
Korba STTP 3200 7.3-7.8 pH alkaline. The phosphorous varies from
10.22 to 16.22 kg/ha in the moderate amount,
Potassium ranges from 32.11 to 48.98 kg/ha and.
Kahalgaon
STTP
1020 Surface soils in the ash pond area and at the plant site
are silty clays with low Permeability.
Singrauli STTP 4991 Soil in plant area silty clay, but in ash pond area it is
moderate clayey
Sipat STTP 4753 Surface soils in the plant area are typically sandy
loams, characterized as soft, friable, sticky and plastic.
Vindhyachal
STTP
6128 Slightly alkaline at most of the locations with the pH
ranging between 6.6- 7.6.
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4.4) Water sources and their characteristics
Water is another important input material. We have investigated to get some
important characteristics of input, so that we can have some idea of the changes
occurring in the final waste water coming out of the TPPs.
NTPC Plant
Name
Water source Water qualities
pH BOD(mg/l) DO(mg/l)
Korba STTP Hasdeo River, a tributary
of Mahanadi River
7.1-7.2 0.9-2.3 5.5-6.9
Kahalgaon
STTP
the Ganges River 7.7-8.7 2.7-2.9 6.4-8.9
Singrauli STTP Rihand Reservoir, Son
river
7.3-8.1 1.0-2.4 6.8-8.9
Sipat STTP Right Bank Canal (RBC)
originating from the
Hasdeo Barrage
7.5-8.5 1.4-1.8 6.3-7.5
Vindhyachal
STTP
Madhya Pradesh's share of
water in Rihand basin.
7.3-8.1 1.2-2.4 6.8-8.9
Source-BasinWiseCompiledData-2011
4.5) Air Quality Monitoring –
The prime objective of baseline air quality monitoring is to assess existing air quality
of the area.
Different pollutants present in air:
Some of the main pollutants for our consideration as per CPCB guidelines that are
abundant in TPPs are SO2, NOX and Suspended particulate matter (SPM).
Suspended particulate matter (SPM)
SPM is a complex mixture of organic substances, present in the atmosphere both as
solid particles and liquid droplets. They include fumes, smoke, dust and aerosols. PM
is measured and classified by what is called the respiratory fraction of particles, for
example, PM10 and PM2.5.
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NTPC Plant Name Ambient Air Qualities (in μg/m3)
SO2 NOx SPM
Korba STTP 62.9 53.9 285
Kahalgaon STTP 54.2 67.3 270.9
Singrauli STTP 68.2 71.1 311.4
Sipat STTP 65.5 43.2 307.4
Vindhyachal STTP 71.46 77.84 320.5
4.6) Effluents And Noise Levels During Operation Phase
The main solid waste from the thermal Power Plants is ash (Fly ash and Bottom ash).
Liquid effluents are produced from water treatment plant wastes (clarifier sludge,
filter backwash, demineralizing plant regeneration waste and tube settler sludge),
cooling tower blowdown, ash water blowdown, boiler blowdown and domestic
waste. And, Noise is generated by turbines, boiler feed pumps, air compressors,
cooling towers, transformers, the coal-handling plant, and coal mills during plant
operation.
NTPC Plant
Name
EFFLUENTS Noise(dB)
Ash (ton/day) Waste water (m3/hr.)
Korba STTP 2000 1450 65-85
Kahalgaon STTP 1000 1020 70-85
Singrauli STTP 800 965 75-90
Sipat STTP 1750 1265 68-88
Vindhyachal
STTP
2500 2000 75-90
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5.) CALCULATION OF COMPREHENSIVE ENVIRONMENTAL
POLLUTION INDEX
5.1) CRITICALLY POLLUTED AREA- SINGRAULI
5.1.1)Calculation of Air CEPI- Basic Air monitoring data
Critical pollutants PM10 SO2 NOx
category B A A
Avg. conc. (mg/l) 121.33 19.4 25.2
Exceeding factor
EF
1.74 1.20 0.23
Sample
exceeded/ total
sample *EF
1/3*1.74 1/3*1.2 0*0.23
SNLF 0.58 0.40 0
score penalty 2 0
So, A1 = 2(total)
No of Industry in area/10 km2 area: R-17 type– 01 and R-54 category -26
So, Factor A2 =2.5
A =A1*A2 =2*2.5= 5
B- Factor:
B1 = 6 + 1.75(penalty) =7.75 (exceeding factor >1.5 and pollutants are critical, high
and high/moderate range)
B2 =3 (Symptoms of exposure on people)
B3 =3 (evidence of Symptoms of exposure on Eco-geological feature)
B = B1+B2+B3 = 7.75+3+3 =13.75
C-Factor
Population exposed up to 2.0 km from source Industry= 95,000
C1 =3
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C2 =SNLF max score + penalty =3+1.75 =4.75
C3= Risk to sensitive receptor historical/ park etc. are within 2 km =No =0
C =C1*C2+C3 =3*4.75 +0 =14.75
D-Factor-based on pollution control measure for L/M/SSI (large-scale, medium- and
Small-scale industries)
D =5
5.1.2) Calculation of Water CEPI
Basic Water monitoring data
Critical pollutants F COD TSS
category C B B
Avg. conc. (mg/l) 0.37 18.6 16
Exceeding factor EF 5.55 4.23 3.58
Sample exceeded/ total sample
*EF
1/2*5.55 1/3*4.23 0*3.58
SNLF 2.755 1.41 1.34
score 4 penalty 0
So, A1 = 4+1.5(penalty) =5.5(total) & Factor A2 =2.5
A =A1*A2 =5.5*2.5= 13.75
B- Factor:
B1 = 6 + 2(penalty) =8, B2 =3 and B3 =3
B = B1+B2+B3 = 8+3+3 =14
C-Factor
C1 =3, C2 = 2+3 =5 and C3= 0
C =C1*C2+C3 =3*5+0=15
Air CEPI =A+B+C+D=5+13.75+14.75+5 =38.5
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D-Factor- D =5
Water CEPI =A+B+C+D=13.75+14+15+5 =47.5
5.1.3) Calculation of Land CEPI: Basic Land monitoring data
Critical pollutants Mercury F TDS
category C B B
Avg. conc. (μg/m3) 0.0035 1.01 632
Exceeding factor EF 0.35 0.33 1.27
Sample exceeded/ total sample *EF 0/7*0.35 1/7*0.33 6/7*1.27
SNLF 0 0.05 1.09
score 1 1.5 3
So, A1 = 4+1.5=5.5(total) & Factor A2 =2.5
A =A1*A2 =5.5*2.5= 13.75
B- Factor:
B1 = 3+1(penalty) =4, B2 =3 and B3 =3
B = B1+B2+B3 = 4+3+3 =10
C-Factor
C1 =3, C2 = 3+1.75(penalty) =4.75 and C3= 0
C =C1*C2+C3 =3*4.75 +0 =14.25
D-Factor- D =5
Land CEPI =A+B+C+D= 13.75+10+14.25+5 =43
Final CEPI =Im+ (100-Im)*i2/100 *i3/100
=47.75+ (100 -47.75)*38.5/100 *43/100
So, Overall CEPI for SINGRAULI=56.4
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5.2) CRITICALLY POLLUTED AREA- KORBA
5.2.1) Calculation of Air CEPI: Basic Air monitoring data
Critical pollutants SPM SO2 NO2
category B A A
Avg. conc. (μg/m3) 285 62.9 53.9
Exceeding factor EF 1.85 0.44 0.79
Sample exceeded/ total sample *EF 1/3*1.85 1/3*0.44 0*0.79
SNLF 0.62 0.1 0
score 2 0 Penalty
So, A1 = 2(total) & Factor A2 =5
A =A1*A2 =2*5= 10
B- Factor:
B1 = 6 + 0(penalty) =6, B2 =3 and B3 =3
B = B1+B2+B3 = 6+3+3 =12
C-Factor
C1 =5, C2 =3+0(penalty) =3 and C3=yes =5
C =C1*C2+C3 =5*3 +5 =20
D-Factor- D =15
5.2.2) Calculation of Water CEPI
Basic Water monitoring data
Critical pollutants Arsenic pH DO
category C A A
Avg. conc. 0.6 7.1 6.4
Exceeding factor EF 0.018 1.056 0.895
SNLF 0 0.352 0
score 4 penalty 0
Air CEPI =A+B+C+D=57
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So, A1 = 4+0(penalty) =4(total) & Factor A2 =5
A =A1*A2 =4*5= 20
B- Factor:
B1 = 3 + 0(penalty) =3, B2 =3and B3 =3
B = B1+B2+B3 = 3+3+3 =9
C-Factor
C1 =5, C2 = 2+0(penalty) =2 and C3= 5
C =C1*C2+C3 =5*2+5=15
D =15
Water CEPI =A+B+C+D=59
5.2.3) Calculation of Land CEPI: Basic Land monitoring data
Critical pollutants Arsenic Fe Ca/Mg
category C A A
Avg. conc. (μg/m3) 0.0035 1.01 632
Exceeding factor EF 0.05 0.94 0.145
SNLF 0 0.282 0
score 4 Penalty 0
So, A1 = 4+0=4(total) & Factor A2 =5
A =A1*A2 =4*5= 20
B- Factor:
B1 = 2+0(penalty) =2, B2 =3 and B3 =6
B = B1+B2+B3 = 2+3+6 =11
C-Factor
C1 =2, C2 = 2 and C3=5
C =C1*C2+C3 =5*2+5 =15
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D =15
Land CEPI =A+B+C+D= 6
Final CEPI =Im+ (100-Im)*i2/100 *i3/100
=61+ (100 -61)*59/100 *57/100
So, Overall CEPI for KORBA =74.1
5.3) CRITICALLY POLLUTED AREA- VINDHYACHAL
5.3.1) Calculation of Air CEPI: Basic Air monitoring data
Critical pollutants PM10 SO2 NOx
category B A A
Avg. conc. (mg/l) 91 14.6 36.2
Exceeding factor EF 1.74 1.20 0.23
Sample exceeded/ total sample *EF 1/3*1.74 1/3*1.2 0*0.23
SNLF 0.58 0.40 0
score penalty 2 0
So, A1 = 2(total) & Factor A2 =5
A =A1*A2 =2*5= 10
B- Factor:
B1 = 6 + 1.75(penalty) =7.75, B2 =3 and B3 =6
B = B1+B2+B3 = 7.75+3+6 =16.75
C-Factor:
C1 =5, C2 =3+1.75 (penalty) =4.75 and C3=5
C =C1*C2+C3 =5*4.75 +5 =28.75
D-Factor: D =15
Air CEPI =A+B+C+D=70.5
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5.3.2) Calculation of Water CEPI: Basic Water monitoring data
Critical pollutants F COD TSS
category C B B
Avg. conc. (μg/l) 0.46 11.3 12.6
score 0 penalty 2
So, A1 = 2+1(penalty) =3(total) & Factor A2 =5
A =A1*A2 =3*5= 15
B- Factor: B1 = 6 + 2(penalty) =8, B2 =3 and B3 =3
B = B1+B2+B3 = 8+3+3 =14
C-Factor: C1 =5, C2 =3 and C3= 5
C =C1*C2+C3 =3*5+5=20
D-Factor: D =15
Water CEPI =A+B+C+D=64
5.3.3) Calculation of Land CEPI: Basic Land monitoring data
Critical pollutants Mercury F TDS
category C B B
Avg. conc. (μg/m3) 0.0035 1.01 632
score Penalty 1 1
So, A1 = 2 & Factor A2 =5
A =A1*A2 =2*5= 10
B- Factor:
B1 = 6+2(penalty) =8, B2 =3 and B3 =3
B = B1+B2+B3 = 8+3+3 =14
C-Factor
C1 =5, C2 =3 and C3= 5
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C =C1*C2+C3 =3*5 +5 =20
D-Factor- D =15
Land CEPI =A+B+C+D= 59
Final CEPI =Im+ (100-Im)*i2/100 *i3/100
=70.5+ (100 -70.5)*59/100 *64/100
So, Overall CEPI for VINDHYACHAL =81.64
5.4) CRITICALLY POLLUTED AREA- SIPAT & KAHALGAON
Factor
number
Sipat TPP Kahalgaon TPP
Land Water Air Land Water Air
A1 2 4 2 2 3 2
A2 5 5 5 5 5 5
A 10 20 10 10 15 10
B1 3 6+(1.5) 6+(1.75) 2 2 3+(1.5)
B2 3 3 3 3 3 3
B3 3 6 6 3 3 3
B 9 15 16.5 8 8 10.5
C1 5 5 5 5 5 5
C2 3 2 3 3 3 3
C3 5 5 5 5 5 3
C 20 15 20 20 20 20
D 10 10 10 10 10 10
CEPI 49.00 61.5 56.5 48 53 50.5
Overall
CEPI
72.31(SIPAT) 64.39(KAHALGAON)
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REFERENCES:
1. Ash availability in NTPC power stations
2. Criteria for Comprehensive Environmental Assessment of Industrial Clusters”,
Central Pollution Control Board Ministry of Environment and Forests:
www.cpcb.nic.in
3. Development of Comprehensive Environmental Pollution Abatement Action Plan
for Critically Polluted Area – Korba”, Chhattisgarh Environment Conservation Board:
www.enviscecb.org
4. National Pollutant Inventory, Department of Environment, Australian
Government: http://www.npi.gov.au/resource/sulfur-dioxide
5. Environmental impact assessment for Vindhyachal super thermal power project
environmental impact assessment for Singrauli super thermal power project
6. Summary of Environmental Impact Assessment, India: Sipat Super Thermal Power
Project (Stage I and II) and Kahalgaon Super Thermal Power Project (Stage II) ,March
2006
7. MoEF-IIFM-thermal-power-plants
8. http://indianpowersector.com/home/power-station/thermal-power-plant/
9. Environmental Impact Assessment With Respect To Ambient Air Quality in the
Neighborhood of A Typical Thermal Power Plant, by 1Dr. S. Mohan and Dr. S.
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Palanivelraja
10. Effects of Thermal Power Plant On Environment By W. K. Pokale
11. BasinWiseCompiledData-2011- CPCB
12. Impact of Coal Based Thermal Power Plant on Environment and its Mitigation
Measure by Ahmad Shamshad, Fulekar M.H., and Pathak Bhawana
13. http://www.cpcb.nic.in/ and http://www.ntpc.co.in/