Presented at
ASABE & CSBE/SCGAB Annual International Meeting
Palais des congres de Montreal, Montreal, Quebec, Canada
July 13-16th, 2014
Session 210: 141898760
Trial Excavation Provides Critical Predictive Off Gas EmissiDonald Carpenter
This presentation describes a direct way to collect critical off gas emissions-related data and the assess in a manner to help evaluate the need for control measures and impacts to operations while being protective to the public and the work force.
Effects of Wind Direction on VOC Concentrations in Southeast KansasSergio A. Guerra
Twenty-four-hour whole-air samples were collected in evacuated stainless steel canisters and analyzed for volatile organic compounds (VOC) at selected sites in southeast Kansas from March 1999 to October 2000. The purpose was to assess the influence on air quality of four industrial facilities that burn hazardous waste located in the communities of Coffeyville, Chanute, Independence and Fredonia. Fifteen of the VOC analytes were found at concentrations above the detection limit and above levels observed in the blanks. Data were analyzed to investigate whether sampling site and date had a significant effect on VOC concentration. Results indicate that site and/or date were significant factors for many of the VOCs. To further investigate the temporal factor, sampling days were divided into four classifications based on wind direction: predominantly north winds, predominantly south winds, calm/variable winds and
other winds. Results from statistical analyses show that wind direction was a significant factor for benzene, toluene, o-xylene, naphthalene, and carbon tetrachloride. Data from upwind and downwind samples were analyzed for the four cities of interest in the study area, to investigate the effect of the four targeted sources on VOC concentrations. Results from Fredonia showed higher concentrations of toluene, ethyl benzene, styrene, methyl chloride, and trichloroethylene in the upwind samples, although none of the results were statistically significant. Chanute also showed higher concentrations of the same compounds and m,p-xylene in the upwind samples; results were significant at the 0.05 level for toluene, ethylbenzene, and xylene. These results indicate that sources other than those targeted in the sampling network may be contributing to
the VOC levels. Results from Independence showed higher concentrations of ethylebenzene and styrene in the downwind samples; results were statistically significant. These results indicate that the source targeted in the sampling network may be contributing to the VOC levels at those sampling sites.
Trial Excavation Provides Critical Predictive Off Gas EmissiDonald Carpenter
This presentation describes a direct way to collect critical off gas emissions-related data and the assess in a manner to help evaluate the need for control measures and impacts to operations while being protective to the public and the work force.
Effects of Wind Direction on VOC Concentrations in Southeast KansasSergio A. Guerra
Twenty-four-hour whole-air samples were collected in evacuated stainless steel canisters and analyzed for volatile organic compounds (VOC) at selected sites in southeast Kansas from March 1999 to October 2000. The purpose was to assess the influence on air quality of four industrial facilities that burn hazardous waste located in the communities of Coffeyville, Chanute, Independence and Fredonia. Fifteen of the VOC analytes were found at concentrations above the detection limit and above levels observed in the blanks. Data were analyzed to investigate whether sampling site and date had a significant effect on VOC concentration. Results indicate that site and/or date were significant factors for many of the VOCs. To further investigate the temporal factor, sampling days were divided into four classifications based on wind direction: predominantly north winds, predominantly south winds, calm/variable winds and
other winds. Results from statistical analyses show that wind direction was a significant factor for benzene, toluene, o-xylene, naphthalene, and carbon tetrachloride. Data from upwind and downwind samples were analyzed for the four cities of interest in the study area, to investigate the effect of the four targeted sources on VOC concentrations. Results from Fredonia showed higher concentrations of toluene, ethyl benzene, styrene, methyl chloride, and trichloroethylene in the upwind samples, although none of the results were statistically significant. Chanute also showed higher concentrations of the same compounds and m,p-xylene in the upwind samples; results were significant at the 0.05 level for toluene, ethylbenzene, and xylene. These results indicate that sources other than those targeted in the sampling network may be contributing to
the VOC levels. Results from Independence showed higher concentrations of ethylebenzene and styrene in the downwind samples; results were statistically significant. These results indicate that the source targeted in the sampling network may be contributing to the VOC levels at those sampling sites.
Renseanlæg
Hvordan opfører efterklaringstankene under øgede hydraulisk belastning og udvikling af simple modeller som kan anvendes til styring af efterklaringstankene under regn.
Hvilke metoder findes der for at forøge den hydrauliske kapacitet af renseanlæg under regn og praktiske erfaringer fra Spildevandscenter Avedøre ræsentation af det ambitiøse forskningsprojekt Storm- and Waste water Informatics SWI.
dispersion modeling requirements are more common in air permitting projects and in many cases become the bottleneck in permitting. Unlike any other consulting firm, CPP promotes cutting edge techniques which can alleviate excessive conservatism in permit modeling to a reasonable level that still protects public health. At CPP we start with the standard modeling techniques and apply the following advanced analysis tools, as needed, to optimize your permitting strategy:
• Analysis of BPIP output to verify if AERMOD is overpredicting,
• Screening tool to assess the benefit of refining the BPIP building dimensions inputs,
• Use of Equivalent Building Dimension (EBD) studies to correct building wake effects in AERMOD,
• Evaluation of background concentrations to determine a reasonable value to combine with predicted concentrations,
• Use of the Monte Carlo approach (i.e., EMVAP) to address sources with variable emissions,
• Use of the adjusted friction velocity (u-star) option in AERMET to address AERMOD’s overestimation during low wind stable hours,
• Site analysis to determine whether stacks taller than formula GEP stack heights are justified,
• Site specific wind tunnel modeling to determine GEP stack heights and Equivalent Building Dimensions,
• Site-specific wind erosion inputs, and
• Area and volume source enhancements.
Pairing aermod concentrations with the 50th percentile monitored valueSergio A. Guerra
Presentation delivered to the Background Concentrations Workgroup for Air Dispersion Modeling organized by the Minnesota Pollution Control Agency. delivered on March 25, 2014. Three topics covered include 1) Screening monitoring data, 2) AERMOD’s time-space mismatch, and
3) Proposed 50th % Bkg Method
Use of Probabilistic Statistical Techniques in AERMOD Modeling EvaluationsSergio A. Guerra
The advent of the short term National Ambient Air Quality Standards (NAAQS) prompted modelers to reassess the common practices in dispersion modeling analyses. The probabilistic nature of the new short term standards also opens the door to alternative modeling techniques that are based on probability. One of these is the Monte Carlo technique that can be used to account for emission variability in permit modeling.
Currently, it is assumed that a given emission unit is in operation at its maximum capacity every hour of the year. This assumption may be appropriate for facilities that operate at full capacity most of the time. However, in most cases, emission units operate at variable loads that produce variable emissions. Thus, assuming constant maximum emissions is overly conservative for facilities such as power plants that are not in operation all the time and which exhibit high concentrations during very short periods of time.
Another element of conservatism in NAAQS demonstrations relates to combining predicted concentrations from the AMS/EPA Regulatory Model (AERMOD) with observed (monitored) background concentrations. Normally, some of the highest monitored observations are added to the AERMOD results yielding a very conservative combined concentration.
A case study is presented to evaluate the use of alternative probabilistic methods to complement the shortcomings of current dispersion modeling practices. This case study includes the use of the Monte Carlo technique and the use of a reasonable background concentration to combine with the AERMOD predicted concentrations. The use of these methods is in harmony with the probabilistic nature of the NAAQS and can help demonstrate compliance through dispersion modeling analyses, while still being protective of the NAAQS.
Highlights from the 2016 Guideline on Air Quality Models ConferenceSergio A. Guerra
The revision of the Guideline on AQ Models (Appendix W) will prompt many changes in the way dispersion modeling is conducted for regulatory purposes. Some of the changes to the Guideline include enhancements and bug fixes to the AERMOD modeling system, new screening techniques to address ozone and secondary PM2.5, delisting CALPUFF as the preferred long-range transport model, and updates on the use of meteorological input data. These changes will have a significant impact on the regulated community. In anticipation of these updates, the Air & Waste Management Association will hold its 6th Specialty Conference: “Guideline on Air Quality Models: The New Path” to provide a technical forum to discuss the Guideline. This talk covered the main highlights from this conference including the presentations from EPA on the status and future direction of the Guideline. Learn how these changes may impact dispersion modeling evaluations for short and long range transport.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Annual Air and Waste Management Association conference in Long beach, California on June 26, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
Using Physical Modeling to Evaluate Re-entrainment of Stack EmissionsSergio A. Guerra
Fume re-entry is an important concern for many types of facilities such as hospitals and laboratories that emit pathogens and toxic chemicals that may impact public health by being re-entrained into the building though nearby air intakes. Numerical methods can be used to evaluate dispersion of pollutants from stacks at sensitive receptors. However, numerical methods have limitations and simplifications that can significantly affect its predictions. An alternate way of analyzing stack re-entrainment is with physical modeling in a wind tunnel. In such a study, a scale model that accounts for buildings, topography, and vegetation is used with planned and alternate stack designs to determine the toxic emission impacts on air intakes and other sensitive locations. In a wind tunnel study different stack designs and possible mitigation options can be evaluated. This method is superior to numerical methods (e.g., dispersion models) because it accounts for the immediate structures, topography, and vegetation that is often ignored or oversimplified in numerical methods.
This presentation will show a hypothetical case study evaluating a site with toxic air emissions using AERMOD and physical modeling.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Board meeting for the Upper Midwest section of the Air and Waste Management Association meeting on September 16, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
Pairing aermod concentrations with the 50th percentile monitored valueSergio A. Guerra
Presentation delivered to the Background Concentrations Workgroup for Air Dispersion Modeling organized by the Minnesota Pollution Control Agency. delivered on May 29, 2014. Three topics covered include 1) Screening monitoring data, 2) AERMOD’s time-space mismatch, and
3) Proposed 50th % Bkg Method
Numerical Modelling of Trans-Triple Point Temperature Near-Field Sonic Dispersion of CO2 from High Pressure Dense Phase Pipelines, Chris Wareing, University of Leeds. Presented at CO2 Properties and EoS for Pipeline Engineering, 11th November 2014
Presentation includes information related to gently sloping terrain, AERMINUTE, and EPA formula height.
Presented at the 27th Annual Conference on the Environment on November 13, 2012.
Presentation given by Alexandre Morin of SINTEF Energy Research on "WP1.3 – Transient fluid dynamics of CO2 mixtures in pipelines" at the EC FP7 Projects: Leading the way in CCS implementation event, London, 14-15 April 2014
Towards Cost Efficient Soil Carbon Measurement and MonitoringCarbon Coalition
Professor Alex. McBratney of Sydnet University delivers a stunning presentation on remote sensing and its promise of satellites 'spying' on plants to help save the world from climate crisis.
Renseanlæg
Hvordan opfører efterklaringstankene under øgede hydraulisk belastning og udvikling af simple modeller som kan anvendes til styring af efterklaringstankene under regn.
Hvilke metoder findes der for at forøge den hydrauliske kapacitet af renseanlæg under regn og praktiske erfaringer fra Spildevandscenter Avedøre ræsentation af det ambitiøse forskningsprojekt Storm- and Waste water Informatics SWI.
dispersion modeling requirements are more common in air permitting projects and in many cases become the bottleneck in permitting. Unlike any other consulting firm, CPP promotes cutting edge techniques which can alleviate excessive conservatism in permit modeling to a reasonable level that still protects public health. At CPP we start with the standard modeling techniques and apply the following advanced analysis tools, as needed, to optimize your permitting strategy:
• Analysis of BPIP output to verify if AERMOD is overpredicting,
• Screening tool to assess the benefit of refining the BPIP building dimensions inputs,
• Use of Equivalent Building Dimension (EBD) studies to correct building wake effects in AERMOD,
• Evaluation of background concentrations to determine a reasonable value to combine with predicted concentrations,
• Use of the Monte Carlo approach (i.e., EMVAP) to address sources with variable emissions,
• Use of the adjusted friction velocity (u-star) option in AERMET to address AERMOD’s overestimation during low wind stable hours,
• Site analysis to determine whether stacks taller than formula GEP stack heights are justified,
• Site specific wind tunnel modeling to determine GEP stack heights and Equivalent Building Dimensions,
• Site-specific wind erosion inputs, and
• Area and volume source enhancements.
Pairing aermod concentrations with the 50th percentile monitored valueSergio A. Guerra
Presentation delivered to the Background Concentrations Workgroup for Air Dispersion Modeling organized by the Minnesota Pollution Control Agency. delivered on March 25, 2014. Three topics covered include 1) Screening monitoring data, 2) AERMOD’s time-space mismatch, and
3) Proposed 50th % Bkg Method
Use of Probabilistic Statistical Techniques in AERMOD Modeling EvaluationsSergio A. Guerra
The advent of the short term National Ambient Air Quality Standards (NAAQS) prompted modelers to reassess the common practices in dispersion modeling analyses. The probabilistic nature of the new short term standards also opens the door to alternative modeling techniques that are based on probability. One of these is the Monte Carlo technique that can be used to account for emission variability in permit modeling.
Currently, it is assumed that a given emission unit is in operation at its maximum capacity every hour of the year. This assumption may be appropriate for facilities that operate at full capacity most of the time. However, in most cases, emission units operate at variable loads that produce variable emissions. Thus, assuming constant maximum emissions is overly conservative for facilities such as power plants that are not in operation all the time and which exhibit high concentrations during very short periods of time.
Another element of conservatism in NAAQS demonstrations relates to combining predicted concentrations from the AMS/EPA Regulatory Model (AERMOD) with observed (monitored) background concentrations. Normally, some of the highest monitored observations are added to the AERMOD results yielding a very conservative combined concentration.
A case study is presented to evaluate the use of alternative probabilistic methods to complement the shortcomings of current dispersion modeling practices. This case study includes the use of the Monte Carlo technique and the use of a reasonable background concentration to combine with the AERMOD predicted concentrations. The use of these methods is in harmony with the probabilistic nature of the NAAQS and can help demonstrate compliance through dispersion modeling analyses, while still being protective of the NAAQS.
Highlights from the 2016 Guideline on Air Quality Models ConferenceSergio A. Guerra
The revision of the Guideline on AQ Models (Appendix W) will prompt many changes in the way dispersion modeling is conducted for regulatory purposes. Some of the changes to the Guideline include enhancements and bug fixes to the AERMOD modeling system, new screening techniques to address ozone and secondary PM2.5, delisting CALPUFF as the preferred long-range transport model, and updates on the use of meteorological input data. These changes will have a significant impact on the regulated community. In anticipation of these updates, the Air & Waste Management Association will hold its 6th Specialty Conference: “Guideline on Air Quality Models: The New Path” to provide a technical forum to discuss the Guideline. This talk covered the main highlights from this conference including the presentations from EPA on the status and future direction of the Guideline. Learn how these changes may impact dispersion modeling evaluations for short and long range transport.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Annual Air and Waste Management Association conference in Long beach, California on June 26, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
Using Physical Modeling to Evaluate Re-entrainment of Stack EmissionsSergio A. Guerra
Fume re-entry is an important concern for many types of facilities such as hospitals and laboratories that emit pathogens and toxic chemicals that may impact public health by being re-entrained into the building though nearby air intakes. Numerical methods can be used to evaluate dispersion of pollutants from stacks at sensitive receptors. However, numerical methods have limitations and simplifications that can significantly affect its predictions. An alternate way of analyzing stack re-entrainment is with physical modeling in a wind tunnel. In such a study, a scale model that accounts for buildings, topography, and vegetation is used with planned and alternate stack designs to determine the toxic emission impacts on air intakes and other sensitive locations. In a wind tunnel study different stack designs and possible mitigation options can be evaluated. This method is superior to numerical methods (e.g., dispersion models) because it accounts for the immediate structures, topography, and vegetation that is often ignored or oversimplified in numerical methods.
This presentation will show a hypothetical case study evaluating a site with toxic air emissions using AERMOD and physical modeling.
INNOVATIVE DISPERSION MODELING PRACTICES TO ACHIEVE A REASONABLE LEVEL OF CON...Sergio A. Guerra
Presentation delivered at the Board meeting for the Upper Midwest section of the Air and Waste Management Association meeting on September 16, 2014.
Innovative dispersion modeling techniques are presented including ARM2, EMVAP and the 50th percentile background concentration. Case study involves peaking engines that are used 250 hour per year. These intermittent sources are required to undergo a modeling evaluation in many states. Current modeling techniques grossly overestimate the emissions from these sporadic sources.
Pairing aermod concentrations with the 50th percentile monitored valueSergio A. Guerra
Presentation delivered to the Background Concentrations Workgroup for Air Dispersion Modeling organized by the Minnesota Pollution Control Agency. delivered on May 29, 2014. Three topics covered include 1) Screening monitoring data, 2) AERMOD’s time-space mismatch, and
3) Proposed 50th % Bkg Method
Numerical Modelling of Trans-Triple Point Temperature Near-Field Sonic Dispersion of CO2 from High Pressure Dense Phase Pipelines, Chris Wareing, University of Leeds. Presented at CO2 Properties and EoS for Pipeline Engineering, 11th November 2014
Presentation includes information related to gently sloping terrain, AERMINUTE, and EPA formula height.
Presented at the 27th Annual Conference on the Environment on November 13, 2012.
Presentation given by Alexandre Morin of SINTEF Energy Research on "WP1.3 – Transient fluid dynamics of CO2 mixtures in pipelines" at the EC FP7 Projects: Leading the way in CCS implementation event, London, 14-15 April 2014
Towards Cost Efficient Soil Carbon Measurement and MonitoringCarbon Coalition
Professor Alex. McBratney of Sydnet University delivers a stunning presentation on remote sensing and its promise of satellites 'spying' on plants to help save the world from climate crisis.
What happens when you take satellite products and add soil water potential data?
New data sources offer tools for growers to optimize production in the field. But the task of implementing them is often difficult. Research work is underway and offers a guide on how data from soil and space can work together to make the job of irrigation scheduling easier.
In this presentation, METER’s Dr. Colin Campbell explains the formula for prescribing irrigation events that will get you the yields you want.
Measurement of soil carbon is the focus of attention of present and future international conventions and agreements, related to global climate change. Past inventories and current carbon stock inventories involve different analytical methods, and methodological biases and uncertainties should be reduced to develop reliable estimates of the effects of land uses changes on total organic carbon. Furthermore, the carbon-equivalent is highly variable, and there is the need of using a specific correction factor for each location, resulting from the combination of land use, textural gradients, and sampling depth. In this context, the aims of this study were creating correction equations for the determinations through wet combustion (Walkley-Black- WB) for a Rhodic Hapludox based on the determinations made through dry combustion (CS) at different depths and management systems. The experimental design was 4 x 5 factorial with 3 replications. Treatments were: Conventional Tillage (CT); Minimum Tillage (MT); No-till with chisel plowing (NTC) and No-Till (NT). The collection depths were: 0-2.5; 2.5-5; 5-10; 10-20 and 20-40 cm. The measured carbon equivalent values ranged from 1.06 to 1.18 and were dependent on land use and soil depth. Rhodic Hapludox under different management presented the following order of carbon equivalent values: NTC < CT < NT < MT. The carbon equivalent values increased with depth. The high ratio between C-WB and C-CS (R2= 0.75, p= 0.0001) justifies the use of correction factors.
Development of low cost TDR system for soil moisture measurementBhushan Patil
Soil moisture measurement is one of the difficult at same time much important task. Numbers of methods are available for soil moisture measurement. But after reviewing all these methods at last we come to the conclusion that each of these techniques has some of the limitations. So, it is always said that the ideal method for soil moisture measurement is yet to be perfected. After studying all of these techniques comparatively it is seen that Time Domain Reflectometer method has very much scope to develop most superior system for the task. TDR is nothing but a technology which measures frequency dependent properties of electric and dielectric materials with the use of electromagnetic waves. First off all EM wave is generated and gets transmitted in the sensor transmission waveguide put into the soil. Due to impedance mismatching fraction of the transmitted signal reflected back whose travelling time is a function of dielectric constant of the soil which depends on the amount of moisture present in the soil. High cost of TDR system is most serious limitation to use this technique. A care is taken while designing to provide highly accurate, low cost solution for soil moisture measurement. To reduce the cost instead of using complex FPGA, simpler low cost microcontroller is used. GSM module is used which gives the low cost, wireless communication so that the reading of the TDR can be send wirelessly in short time. A simple 16*2 LCD display is used, to provide the TDR reading at the site itself. Gravimetric method is used as reference for the calibration.
Dr Bill Slattery of the Department of Climate Change explains the 'whole cycle' greenhouse gas accounting for enterprises which on the evidence - offers carbon farmers hope that a proper accounting for the volumes of soil C they can sequester, they will always be net sinks.
Evaluating Dust Abatement Potential of Stocking Density Manipulation at Open-...LPE Learning Center
For more: http://www.extension.org/67576
Fugitive dust abatement from cattle feedlots continues to be an area of concern for feedlot managers and regulators. Currently, water application and manure harvesting are Beneficial Management Practices (BMP) commonly used for dust abatement. Stocking density manipulation could be used as an additional BMP. The moisture and compaction dynamics of an open-lot corral surface in a cattle feedyard depend strongly on the spatial density at which the animals are stocked. Because the moisture content and bulk density of the corral surface are directly related to its intrinsic dust susceptibility (Auvermann, 2003; Razote et al., 2006), emission of fugitive dust from a feedyard surface should be sensitive to changes in stocking density and the moisture- dynamics changes that it induces. Path averaged airborne dust concentrations were measured upwind and downwind of feedyard pens using an optical particle sizer OPS (model 3330, TSI inc., Shoreview, MN) and an aerosol monitor (model DUSTRAK II 8530, TSI inc., Shoreview, MN) mounted on mobile sampling platforms. Feedlot pens were stocked at two densities, 718 (control) and 1,435 hd ha -1. Doubled stocking density was achieved in two different ways, by (A) confining cattle to half the pen area using electric cross-fencing and (B) doubling the number of cattle in the pens. We will report differences in dust concentrations and corral surface conditions associated with pen stocking density.
Retrieval & monitoring of atmospheric green house gases (gh gs) through remot...debasishagri
Climate change is one of the most important global environmental challenges of this century. Green House Gases (GHGs) are the main culprit for this problem. Though much of research has already been done about the distribution and sources (and sinks) of GHGs , still much more uncertainties are present. Currently, there are only a few satellite instruments in orbit which are able to measure atmospheric GHGs. The High Resolution Infrared Radiation Sounder (HIRS), the Atmospheric InfraRed Sounder (AIRS), and the Infrared Atmospheric Sounding Interferometer (IASI) perform measurements in the thermal infrared (TIR) spectral region. But these are having low sensitivity to lower troposphere. In contrast to this, the sensitivity of instruments measuring reflected solar radiation in the near-infrared (NIR)/shortwave infrared (SWIR) spectral region is much more constant (with height) and shows maximum values near the surface. At present, SCIAMACHY aboard ENVISAT launched in 2002 and TANSO (Thermal And Near infrared Sensor for carbon Observation) aboard GOSAT (Greenhouse gases Observing SATellite) launched in 2009 are the only orbiting instruments measuring in NIR region. Among all the algorithms the WFM-DOAS algorithm (Weighting Function Modified Differential Optical Absorption Spectroscopy) developed at the University of Bremen for the retrieval of trace gases from SCIAMACHY (Buchwitz et al.2005) is mostly used. This is based on the principle of differential detection of radiance in gaseous absorption channels with respect to neighboring atmospheric transparent spectral channels (not influenced by gas) to detect the conc. of desired gas. But scattering at aerosol and/or cloud particles remains a major source of uncertainty for SCIAMACHY XCO2 retrievals(Houweling 2005, Schneising 2008).Of late with the use of new merged fit window approach scientists have come up with less than 0.5 ppm error in the estimation of CO2 in the presence of thin cirrus cloud(Reuter, Buchwitz et. al. 2010). Schneising et. al.,2007,retrieved d three year’s column-averaged CO2 dry air mole fraction from the SCIAMACHY instrument using the retrieval algorithm WFM-DOAS version 1.0, with precision of about 2 ppm. In India a study was undertaken to compare the atmospheric methane concentration pattern from SCIAMACHY with the vegetation dynamics from SPOT, showed fairly good correlation of methane emission with the rice cultivation(Goroshi et. al.).
Environmental Impact Assessment of Kota Super Thermal Power Station IJSRP Journal
Environmental Impact Assessment (EIA) is an important management tool for ensuring optimal use of natural resources for sustainable development. A beginning in this direction was made in our country with the impact assessment of river valley projects in 1978-79 and the scope has subsequently been enhanced to cover other developmental sectors such as industries, thermal power projects, mining schemes etc. To facilitate collection of environmental data and preparation of management plans, guidelines have been evolved and circulated to the concerned Central and State Government Departments. EIA has now been made mandatory under the Environmental (Protection Act, 1986 for 29 categories of developmental activities involving investments of Rs. 50 crores and above. In present study we have studied environmental aspects of kota super thermal power on Kota city.The KSTPS in Rajasthan was commissioned in 1983 and presently operating at 1045MW capacity,The Kota Super Thermal Power Station came in five stages and a total of 7 units have been commissioned.KSTPS is situated at the left bank of “Chambal River” in Rajasthan principal industrial city Kota.The present total area covered under KSTPS is 688 ha.The power generation system comprises mainly boiler, turbine, generator and transformers with accessories all arranged to operate as complementary parts of a common monolithic set.The allowable limits for discharge of water as specified in Schedule 4 of Environmental Protection Act And Amendment 1983 isAmmonical Nitrogen 50,Arsenic-0.2,Biochemical oxygen demand-30,Cadmium -2, Chemical oxygen demand -250, Chromium hexavalent-0.1, Chromium total-2, Copper-3,Cyanide-0.1,Fluoride-2,PH-5.5-9.0Phenols-1,Dissolve Phosphate -5,Residual Chloride 1,Sulphide 2,Total Suspended Solid 100,Zinc 5.0 . Various effluent samples are analysed to assess the effluent quality from KSTPS.Any major industrial activity have tendency to degrade the environment viz. air environment, water, noise, land and biological also. It is duty of every industry it should have its own environmental unit that allow to minimum quantity of pollutants emit into environmental and keep this pollutant range with in permissible limit described according to central and state pollution control board and MOEF. So we should think in the terms of sustainable development means development without destruction.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
1. PREDICTING CHANGES IN GREENHOUSE
GASES EMISSIONS IN MUCK SOIL USING
PHYSICAL OBSERVATIONS
Ahmad S. Mat Su1,2, Viacheslav I. Adamchuk1, Joann K. Whalen3, Chandra A.
Madramootoo1 , Hsin-Hui Huang1, Katina Tam3, and Hicham Benslim3
1Department of Bioresource Engineering, McGill University, Canada.
2Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia, Malaysia.
3Department of Natural Resource Sciences, McGill University, Canada
Presented at
ASABE & CSBE/SCGAB Annual International Meeting
Palais des congres de Montreal, Montreal, Quebec, Canada
July 13-16th, 2014
Session 210: 141898760
2. Muck soil (organic soil) and issues
Objectives
Materials and Method
» Soil physical properties measurement
» Gas sampling and flux calculation
Results
Summary
2
5. To deploy wireless sensor network (WSN) to measure temporal soil
physical properties
To investigate the cross-relationship of soil water content and soil
temperature with GHG emission during growing season
5
6. Sherrington
Truro
St. Louis de Blandford
St. Emmanuel
Leamington
Harrow
U S A
Nova Scotia
Crop Onion
Elevation 52 – 60 m above MSL
Soil Muck soil
Set up 24 Gas chambers, 3 weather stations
Non irrigation
Québec
Ontario
%2
%2
%2
Station 3
Station 2
Station 1
%2
"
"
"
"
"
"
"
"
Station 1
SH08
SH07
SH06
SH05
SH04
SH03
SH02
SH01
"
"
"
"
"
"
"
"
%2
Station 2
SH16
SH15
SH14
SH13
SH12
SH11
SH10
SH09
"
"
"
"
"
"
"
"SH24
SH23
SH22
SH21
SH20
SH19
SH18
SH17
0 10.5
km
Non irrigation
Irrigation
Irrigation
Non irrigation
Irrigation
7. Muck soil
» Organic matter >80 % (minimum >30%)
» Minimum thickness of 40 cm
» "O" layer contains mainly litters, fibres,
mosses build up originally from the swampy
forest saturated with water for prolonged
periods
*Canada Soil Survey Committee, Subcommittee on Soil Classification, 1978
Station 2
Mineralized organic soil
Station 1
Medium organic soil
Station 3
High organic soil
8. Irrigated soil Non-Irrigated
1m
Weather
station & GPRS
modem
30-45cm depth
4m 4m2m 2m
Gas chambers
Water Mark Sensors
Soil Temp. Sensor
Soil moisture,
temp. and EC
sensor
8
Data
Logger
Modem
Wireless sensor network (WSN)
9. 9
SMEC 300
Sensor
Water Mark
Water Mark
Water mark (WM) sensor- soil matric
potential : available water within root zone
SMEC 300 – Soil moisture, temp. and EC
Continuous - 15 min interval
Discrete - during gas sampling
TDR 100 Soil
Moisture Meter2
Soil Temperature
Probe1
Courtesy: 1http://www.hannainst.com,; 2 http://www.specmeters.com
Continuous Discrete
10. Fixed location during growing season
Five gas samples from headspace with
15 minute interval
Analysing three main trace GHG: N2O,
CH4 and CO2 concentrations using a
customised Bruker-Varian 450 gas
chromatograph (Bruker, Bremen,
Germany)
Two seasons of data collection
» May to Aug 2012 – 194 samples
» April to Oct 2013 – 135 samples
10
A static non-steady state chamber
installed during the sampling
Base + Cover
(0.564 m x 0.564 m x 0.18 m )
11. 11
tCSlopemedian /
mediant tCHf /
medianSlope
C : Different of gas concentration in mg/m3
: Median slope, mg/m3.h
t : Different of time at measured gas in hour
H : Chamber height, m
: Flux, mg.m-2 h-1
tf
13. 13
2012 2013
0
10
20
30
40
50
60
70
80
90
100
15 20 25 30
Soilmoisture,%
Soil Temperature, C
Low Q25
Medium Q50
High Q25
0
10
20
30
40
50
60
70
80
90
100
15 20 25 30
Soilmoisture,%
Soil Temperature, C
Low Q25
Medium Q50
High Q25
High fluxes
Soil moisture 10-70%, temp 19-23 deg. C
High fluxes
Soil moisture 20-70%, temp 17-25 deg. C
14. 14
0
20
40
60
80
100
120
140
160
180
200
15 20 25 30
Soilmatricpotential,kPa
Soil Temperature, C
Low Q25
Medium Q50
High Q25
2012 2013
0
20
40
60
80
100
120
140
160
180
200
15 20 25 30
Soilmatricpotential,kPa
Soil Temperature, C
Low Q25
Medium Q50
High Q25
High fluxes
Soil matric potential < 130 kPa &
soil temp. 19 – 23 deg. C
High fluxes
Soil matric potential < 30 kPa &
soil temp. 17-25 deg. C
15. 15
0
10
20
30
40
50
60
70
80
90
100
15 20 25 30
Soilmoisture,%
Soil Temperature, C
Low Q25
Medium Q50
High Q25
2012 2013
0
10
20
30
40
50
60
70
80
90
100
15 20 25 30
Soilmoisture,%
Soil Temperature, C
Low Q25
Medium Q50
High Q25
Fluxes
No significant relationship
16. 16
0
20
40
60
80
100
120
140
160
180
200
15 20 25 30
Soilmatricpotential,kPa
Soil Temperature, C
Low Q25
Medium Q50
High Q25
2012 2013
0
20
40
60
80
100
120
140
160
180
200
15 20 25 30
Soilmatricpotential,kPa
Soil Temperature, C
Low Q25
Medium Q50
High Q25
Flux
No significant relationship
17. 17
0
10
20
30
40
50
60
70
80
90
100
15 20 25 30
Soilmoisture,%
Soil Temperature, C
Low Q25
Medium Q50
High Q25
2012 2013
0
10
20
30
40
50
60
70
80
90
100
15 20 25 30
Soilmoisture,%
Soil Temperature, C
Low Q25
Medium Q50
High Q25
High fluxes
Soil moisture <70% & temp 19-27 deg. C
High fluxes
Soil moisture <60% & temp. 20-25 deg. C
18. 0
20
40
60
80
100
120
140
160
180
200
15 20 25 30
Soilmatricpotential,kPa
Soil Temperature, C
Low Q25
Medium Q50
High Q25
0
20
40
60
80
100
120
140
160
180
200
15 20 25 30
Soilmatricpotential,kPa
Soil Temperature, C
Low Q25
Medium Q50
High Q25
18
2012 2013
High fluxes
Soil matric potential < 130 kPa &
soil temp. 19 – 27 deg. C
High fluxes
Soil matric potential < 130 kPa &
soil temp. 20 – 25 deg. C
19. N2O-N fluxes - high under wet and cool soil condition
CH4-C fluxes - no significant relationship
CO2-C fluxes - high under dry and warm soil condition
The soil matric potential measurements demonstrate a significant
relationship between soil water content and gas production
Wireless sensor network improves the estimation of gas production
during growing season under muck soil
19