Emissions estimation - PowerPoint PPT Presentation

Principles and guidelines for preparing GHG emissions inventories, focusing on organizational boundaries, operational boundaries, tracking emissions over time, calculating emissions, and reporting GHG emissions. It emphasizes relevance, completeness, consistency, transparency, and accuracy in accoun

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This training curriculum covers principles of GHG accounting, organizational boundaries, setting operational boundaries, tracking emissions over time, calculating emissions, and reporting GHG emissions. It emphasizes the importance of determining which company operations and emissions sources to inc

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This study examines the tradeoffs between water savings, economic impact, and greenhouse gas emissions resulting from technological changes in the irrigation industry. Key objectives include estimating water savings for different crops, quantifying GHG emissions from new irrigation technologies, and

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Consumption-Based Emissions Inventories (CBEIs) play a crucial role in assessing greenhouse gas emissions linked to local consumption patterns. By calculating emissions associated with products and services used by a community, CBEIs reveal significant gaps in traditional emissions tracking, emphasi

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In this course on Bayesian Estimation and Hypothesis Testing for Engineers, various concepts such as point estimation, conditional expectation, Maximum a posteriori estimator, hypothesis testing, and error analysis are covered. Topics include turning conditional PDF/PMF estimates into one number, es

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Dive into Estimation Clipboard 68 and explore new Esti-Mysteries and Number Sense resources for everyday use in the classroom. Discover engaging activities and tools designed by Steve Wyborney to enhance mathematical learning experiences. Watch the instructional video, solve the bear estimation chal

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Project cost estimation involves valuing all monetary aspects necessary for planning, implementing, and monitoring a project. This includes various entrants such as preliminary investigation costs, design fees, construction expenses, and more. The purpose of cost estimation is to determine work volu

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Explore tips for effectively using the Estimation Clipboard in the classroom to engage students in mathematical reasoning and estimation activities. The process involves inviting students to share estimates, encouraging written estimates and discussions, and revealing answers to promote engagement a

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Explore the latest enhancements in the IPCC inventory software related to waste sector emissions estimation. Major updates include subnational disaggregation, Tier 3 methods, wetlands supplement, and improvements in worksheet structure and layout. The software allows for detailed estimation of green

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This project focuses on multi-person 3D human pose estimation from monocular images using advanced techniques like HG-RCNN for 2D heatmaps estimation and a shallow 3D pose module for lifting keypoints to 3D space. The approach leverages weak-perspective projection assumptions for global pose approxi

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Dealing with range anxiety in mean estimation involves exploring methods to improve accuracy when estimating the mean value of a random variable based on sampled data. Various techniques such as quantile truncation, quantile estimation, and reducing dynamic range are discussed. The goal is to reduce

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Kirsten Beddows, Head of Agriculture Transformation, shares an updated Climate Change Plan focused on reducing emissions, achieving net-zero by 2045, and creating sustainable farming practices. The plan includes over a hundred new policies targeting emissions reduction, land use optimization, and ca

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A fun estimation challenge where clues are provided to narrow down the possibilities of the number of blue rocks in a vase. By using critical thinking and estimation skills, participants deduce that there are 65 blue rocks in the vase. Test your estimation abilities with engaging visual clues and de

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Emissions Reductions Beyond the Clean Smokestacks Act (CSA) is a comprehensive program aimed at improving air quality by imposing limits on pollutant emissions from coal-burning facilities. The act has successfully achieved significant reductions in nitrogen oxide (NOx) and sulfur dioxide (SO2) emis

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This presentation by Michael Ege, an Emissions Inventory Specialist at the Texas Commission on Environmental Quality (TCEQ), focuses on improving area source oil and gas emissions estimates. It covers the methods used to estimate emissions, including the development of basin-specific equipment profi

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The OLYMPEX planning meeting in Seattle on January 22, 2015 discussed the contribution of polarimetric S-band radar in rain estimation systems targeted by OLYMPEX. The use of specific differential phase (Kdp) helps in minimizing assumptions about drop size distribution, convective/stratiform distinc

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Understand Enrico Fermi's approach to problem-solving through estimation in science as demonstrated by Fermi Problems. These problems involve making educated guesses to reach approximate answers, fostering creativity, critical thinking, and estimation skills. Explore the application of Fermi Problem

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Dr. Anna Jones and her team are spearheading efforts in Wales to achieve net zero emissions by 2050, with a focus on decarbonising NRW's supply chain and the public sector. The Welsh public sector aims to collectively reach net zero by 2030, with a strong emphasis on reporting and reducing emissions

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Corporations making energy disclosures on a college website by March 31st, 2021, must include annual UK energy use data, greenhouse gas emissions, methodology used, energy efficiency measures, and emissions intensity ratios. The disclosure covers Scope 1, 2, and 3 emissions, business travel, and met

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Explore the foundations of parameter estimation and decision theory in machine learning through topics such as frequentist estimation, properties of estimators, Bayesian parameter estimation, and maximum likelihood estimator. Understand concepts like consistency, bias-variance trade-off, and the Bay

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Explore key principles and techniques for accurate cost estimation in software development projects. Discover the importance of the 5WHH principle, management spectrum, critical practices, resource estimation, estimation options, and decomposition techniques for improved project planning. Learn abou

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Statistical inference involves acquiring information and drawing conclusions about populations from samples using estimation and hypothesis testing. Estimation determines population parameter values based on sample statistics, utilizing point and interval estimators. Interval estimates, known as con

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The presentation discusses the estimation of air emissions from shale gas development and production in North Carolina, highlighting the importance of analyzing emissions from oil and gas activities and associated truck traffic. The process involves building emissions inventory, photochemical modeli

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AFLEET is a tool developed by Argonne National Laboratory to analyze the emissions and costs of alternative fuel vehicles. It provides insights into the benefits of using different fuel technologies and helps in decision-making for vehicle fleet management. The tool includes calculations for emissio

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Reviewing past methods and introducing new tools for radar rainfall estimation in tropical cyclones. Discusses advancements in Dual Polarization rainfall estimation and NSSL's National Mosaic & Multi-Sensor Quantitative Precipitation Estimation. Includes insights on reflectivity-to-rainfall relation

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The SQAS Assessor accreditation training in April 2022 focused on measuring and reducing greenhouse gas emissions in warehouse operations. The content covers emission questions, scope of emissions, energy consumption examples, disaggregation of emissions, emission intensity calculation, and strategi

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This analysis explores the impact of increased remote work on reducing greenhouse gas emissions, particularly in the context of the COVID-19 lockdown. By examining workforce data, commuting patterns, and emission statistics in California, the study aims to quantify the potential decrease in GHG emis

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Explore the fundamental concepts of statistical estimation in machine learning, including Maximum Likelihood Estimation (MLE), Maximum A Posteriori (MAP), and Bayesian estimation. Learn about key topics such as probabilities, interpreting probabilities from different perspectives, marginal distribut

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Tammy M. Thompson, a Senior Air Quality Scientist at the Environmental Defense Fund, discusses the modeling of ozone from oil and gas production emissions in New Mexico. The analysis focuses on areas with high ozone concentrations and their overlap with oil and gas regions, highlighting the sensitiv

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Emissions inventory plays a crucial role in monitoring air pollutant discharges and assessing air quality. This article discusses the purpose of emissions inventory, distinguishing between actual and permitted emissions, and provides guidelines for preparing and reporting minor source emissions inve

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This report discusses the methodology for calculating tailpipe emissions using vehicle stock and VMT data, along with grid emissions from charging PEVs. Challenges include differences in vehicle classifications and lack of trip forecast calculations. Mapping LDVs from CEC classes to EMFAC classes wa

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This presentation by Prof. Dr. Jos LT Blank delves into the application of two-stage local linear least squares estimation in Dutch secondary education. It discusses the pros and cons of stochastic frontier analysis (SFA) and data envelopment analysis (DEA), recent developments in local estimation t

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The atmospheric science community plays a crucial role in identifying, quantifying, and communicating unexpected emissions of controlled substances to support the goals of minimizing future ozone depletion and upholding the Montreal Protocol. By comparing observation-based estimates of global emissi

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Soils play a crucial role in greenhouse gas emissions and carbon sequestration. Karl Richards, Head of Soils, Environment & Land-Use Department at Teagasc, discusses the importance of managing farmland nitrogen emissions through various practices. Research focuses on reducing emissions and enhancing

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Cost-effective strategies to reduce ammonia emissions in agriculture are crucial in Latvia, where a significant portion of emissions originate from the agricultural sector. The study focuses on potential measures, such as precise mineral fertilizer application, improved manure management, nitrogen f

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Detailed study on rice greenhouse gas emissions under varied nitrogen, variety, and water management treatments, focusing on nitrogen fertility, crop varieties, and water usage impact on methane and nitrous oxide emissions. Research examines optimal nitrogen rates for reduced global warming potentia

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The lecture by Prof. Volodymyr SHATOKHA discusses sustainable development in the iron and steel industry to meet climate change mitigation goals. It examines current global climate targets, the role of the industry in greenhouse gas emissions, and the feasibility of reducing emissions. The study foc

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Explore advanced gaze estimation techniques such as Cross-Ratio based trackers, Geometric Models of the Eye, Model-based Gaze Estimation, and more. Learn about their pros and cons, from accurate 3D gaze direction to head pose invariance. Discover the significance of Glint, Pupil, Iris, Sclera, and C

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The Black-Scholes formula, developed by Dr. Fernando Diz, is a widely used model for pricing options. This formula calculates the theoretical price of an option based on various inputs, with volatility being a key factor. Volatility estimation can be done through historical or implied methods, each

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Various studies have utilized the EFS/LCF in the UK to estimate household emissions and policy impacts. This involves converting expenditures into emissions, which presents methodological challenges such as infrequent purchases and variations in data sources. The comparison of household CO2 emission

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