Dew Point in Compressed Air – Frequently Asked Questions
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How to Read a METAR
How to read a METAR A METAR will look something like this: PHNY 202124Z AUTO 27009KT 1 1/4SM BR BKN016 BKN038 22/21 A3018 RMK AO2 Let’s decipher what each bit of the METAR means. PHNY The first part of the METAR is the airport identifier for the facility which produced the METAR. In this case, this is Lanai Airport in Hawaii. 202124Z Next comes the time and date of issue. The first two digits correspond to the date of the month, and the last 4 digits correspond to the time of issue (in Zulu time). In the example, the METAR was issued on the 20th of the month at 21:24 Zulu time. AUTO This part indicates that the METAR was generated automatically. 27009KT Next comes the wind information. The first 3 digits represent the heading from which the wind is blowing, and the next digits indicate speed in knots. In this case, the wind is coming from a heading of 270 relative to magnetic north, and the speed is 9 knots. Some other wind-related notation you might see: • 27009G15KT – the G indicates gusting. In this case, the wind comes from 270 at 9 knots, and gusts to 15 knots. • VRB09KT – the VRB indicates the wind direction is variable; the wind speed is 9 knots. 1 1/4SM This section of the METAR indicates visibility in statute miles. In this case, visibility is 1 ¼ statute miles. Note that the range is typically limited to 10 statute miles, so a report with 10 statute mile visibility could well indicate a situation with more than 10 statute miles of visibility. -
Chapter 5 Measures of Humidity Phases of Water
Chapter 5 Atmospheric Moisture Measures of Humidity 1. Absolute humidity 2. Specific humidity 3. Actual vapor pressure 4. Saturation vapor pressure 5. Relative humidity 6. Dew point Phases of Water Water Vapor n o su ti b ra li o n m p io d a a at ep t v s o io e en s n d it n io o n c freezing Liquid Water Ice melting 1 Coexistence of Water & Vapor • Even below the boiling point, some water molecules leave the liquid (evaporation). • Similarly, some water molecules from the air enter the liquid (condense). • The behavior happens over ice too (sublimation and condensation). Saturation • If we cap the air over the water, then more and more water molecules will enter the air until saturation is reached. • At saturation there is a balance between the number of water molecules leaving the liquid and entering it. • Saturation can occur over ice too. Hydrologic Cycle 2 Air Parcel • Enclose a volume of air in an imaginary thin elastic container, which we will call an air parcel. • It contains oxygen, nitrogen, water vapor, and other molecules in the air. 1. Absolute Humidity Mass of water vapor Absolute humidity = Volume of air The absolute humidity changes with the volume of the parcel, which can change with temperature or pressure. 2. Specific Humidity Mass of water vapor Specific humidity = Total mass of air The specific humidity does not change with parcel volume. 3 Specific Humidity vs. Latitude • The highest specific humidities are observed in the tropics and the lowest values in the polar regions. -
Compressed Air Compressed
Construction Planning, Equipment, and Methods Sixth Edition CHAPTER COMPRESSEDCOMPRESSED AIRAIR • A. J. Clark School of Engineering •Department of Civil and Environmental Engineering By 11 Dr. Ibrahim Assakkaf ENCE 420 – Construction Equipment and Methods Spring 2003 Department of Civil and Environmental Engineering University of Maryland, College Park CHAPTER 11. COMPRESSED AIR Slide No. 1 ENCE 420 ©Assakkaf COMPRESSEDCOMPRESSED AIRAIR 1 CHAPTER 11. COMPRESSED AIR Slide No. 2 ENCE 420 ©Assakkaf INTRODUCTION Compressed air is used for: 9Drilling rock 9Driving piles 9Operating hand tools 9Pumping 9Cleaning PAVING PUMP BREAKER CHAPTER 11. COMPRESSED AIR Slide No. 3 ENCE 420 ©Assakkaf INTRODUCTION In many instances the energy supplied by compressed air is the most convenient method of operating equipment and tools. When air is compressed, it receives energy from the compressor. This energy is transmitted through a pipe or hose to the operating equipment, where a portion of the energy is converted into mechanical work. 2 CHAPTER 11. COMPRESSED AIR Slide No. 4 ENCE 420 ©Assakkaf INTRODUCTION The operations of compressing, transmitting, and using air will always result in a loss of energy, which will give an overall efficiency less than 100%, sometimes considerably less. CHAPTER 11. COMPRESSED AIR Slide No. 5 ENCE 420 ©Assakkaf INTRODUCTION Things to consider: 9Effect of altitude on capacity. 9Loss of air pressure in pipe and hose systems. 9Capacity factors. 3 CHAPTER 11. COMPRESSED AIR Slide No. 6 ENCE 420 ©Assakkaf OVERVIEWOVERVIEW Selecting the right air compressor depends on many factors. ¾ Compressor capacity and operating pressure depend on the tools used. ¾ Engine and compressor lose power and capacity as altitude increases and temperature rises. -
Solutes and Solution
Solutes and Solution The first rule of solubility is “likes dissolve likes” Polar or ionic substances are soluble in polar solvents Non-polar substances are soluble in non- polar solvents Solutes and Solution There must be a reason why a substance is soluble in a solvent: either the solution process lowers the overall enthalpy of the system (Hrxn < 0) Or the solution process increases the overall entropy of the system (Srxn > 0) Entropy is a measure of the amount of disorder in a system—entropy must increase for any spontaneous change 1 Solutes and Solution The forces that drive the dissolution of a solute usually involve both enthalpy and entropy terms Hsoln < 0 for most species The creation of a solution takes a more ordered system (solid phase or pure liquid phase) and makes more disordered system (solute molecules are more randomly distributed throughout the solution) Saturation and Equilibrium If we have enough solute available, a solution can become saturated—the point when no more solute may be accepted into the solvent Saturation indicates an equilibrium between the pure solute and solvent and the solution solute + solvent solution KC 2 Saturation and Equilibrium solute + solvent solution KC The magnitude of KC indicates how soluble a solute is in that particular solvent If KC is large, the solute is very soluble If KC is small, the solute is only slightly soluble Saturation and Equilibrium Examples: + - NaCl(s) + H2O(l) Na (aq) + Cl (aq) KC = 37.3 A saturated solution of NaCl has a [Na+] = 6.11 M and [Cl-] = -
Role of the Dew Water on the Ground Surface in HONO Distribution: a Case Measurement in Melpitz
Atmos. Chem. Phys., 20, 13069–13089, 2020 https://doi.org/10.5194/acp-20-13069-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Role of the dew water on the ground surface in HONO distribution: a case measurement in Melpitz Yangang Ren1, Bastian Stieger2, Gerald Spindler2, Benoit Grosselin1, Abdelwahid Mellouki1, Thomas Tuch2, Alfred Wiedensohler2, and Hartmut Herrmann2 1Institut de Combustion, Aérothermique, Réactivité et Environnement (ICARE), CNRS (UPR 3021), Observatoire des Sciences de l’Univers en région Centre (OSUC), 1C Avenue de la Recherche Scientifique, 45071 Orléans CEDEX 2, France 2Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany Correspondence: Abdelwahid Mellouki ([email protected]) and Hartmut Herrmann ([email protected]) Received: 25 November 2019 – Discussion started: 30 January 2020 Revised: 27 August 2020 – Accepted: 13 September 2020 – Published: 9 November 2020 Abstract. To characterize the role of dew water for the eas that provide a large amount of ground surface based on ground surface HONO distribution, nitrous acid (HONO) the OH production rate calculation. measurements with a Monitor for AeRosols and Gases in am- bient Air (MARGA) and a LOng Path Absorption Photome- ter (LOPAP) instrument were performed at the Leibniz In- 1 Introduction stitute for Tropospheric Research (TROPOS) research site in Melpitz, Germany, from 19 to 29 April 2018. The dew water Nitrous acid (HONO) is important in atmospheric chemistry was also collected and analyzed from 8 to 14 May 2019 using as its photolysis (Reaction R1) is an important source of OH a glass sampler. The high time resolution of HONO measure- radicals. -
“Body Temperature & Pressure, Saturated” & Ambient Pressure Correction in Air Medical Transport
“Body Temperature & Pressure, Saturated” & Ambient Pressure Correction in air medical transport Mechanical ventilation can be especially challenging during air medical transport, particularly due to the impact of varying atmospheric pressure with changing altitudes. The Oxylog® 3000 plus and Oxylog® 2000 plus help to effectively deal with these challenges. D-33481-2011 Artificial ventilation uses compressed the ventilation volumes delivered by the gas to deliver the required volume to the ventilator. Mechanical ventilation in fixed patient. This breathing gas has normally wing aircraft without a pressurized cabin an ambient temperature level and is very is subject to the same dynamics. In case dry. Inside the human lungs the gas of a pressurized cabin it is still relevant expands due to a higher temperature and to correct the inspiratory volumes, as humidity level. These physical conditions the cabin is usually maintained at MT-5809-2008 are described as “Body Temperature & a pressure of approximately 800 mbar Figure 1: Oxylog® 3000 plus Pressure, Saturated” (BTPS), which (600 mmHg), comparable to an altitude The Oxylog® 3000 plus automatically com- presumes the combined environmental of 8,200 ft/2,500 m. pensates volume delivery and measurement circumstances of – Without BTPS correction, the deli- – a body temperature of 37 °C / 99 °F vered inspiratory volume can deviate up – ambient barometrical pressure to 14 % conditions and (at 14,800 ft/4,500 m altitude) from – breathing gas saturated with water the targeted set volume (i.e. 570 ml vapour (= 100 % relative humidity). instead of 500 ml). – Without ambient pressure correction, Aside from the challenge of changing the inspiratory volume can deviate up temperatures and humidity inside the to 44 % (at 14,800 ft/4,500 m altitude) patient lungs, the ambient pressure is from the targeted set volume also important to consider. -
Insar Water Vapor Data Assimilation Into Mesoscale Model
This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 1 InSAR Water Vapor Data Assimilation into Mesoscale Model MM5: Technique and Pilot Study Emanuela Pichelli, Rossella Ferretti, Domenico Cimini, Giulia Panegrossi, Daniele Perissin, Nazzareno Pierdicca, Senior Member, IEEE, Fabio Rocca, and Bjorn Rommen Abstract—In this study, a technique developed to retrieve inte- an extremely important element of the atmosphere because its grated water vapor from interferometric synthetic aperture radar distribution is related to clouds, precipitation formation, and it (InSAR) data is described, and a three-dimensional variational represents a large proportion of the energy budget in the atmo- assimilation experiment of the retrieved precipitable water vapor into the mesoscale weather prediction model MM5 is carried out. sphere. Its representation inside numerical weather prediction The InSAR measurements were available in the framework of the (NWP) models is critical to improve the weather forecast. It is European Space Agency (ESA) project for the “Mitigation of elec- also very challenging because water vapor is involved in pro- tromagnetic transmission errors induced by atmospheric water cesses over a wide range of spatial and temporal scales. An vapor effects” (METAWAVE), whose goal was to analyze and pos- improvement in atmospheric water vapor monitoring that can sibly predict the phase delay induced by atmospheric water vapor on the spaceborne radar signal. The impact of the assimilation on be assimilated in NWP models would improve the forecast the model forecast is investigated in terms of temperature, water accuracy of precipitation and severe weather [1], [3]. -
Electricity Demand Reduction in Sydney and Darwin with Local Climate Mitigation
P. Rajagopalan and M.M Andamon (eds.), Engaging Architectural Science: Meeting the Challenges of Higher Density: 52nd 285 International Conference of the Architectural Science Association 2018, pp.285–293. ©2018, The Architectural Science Association and RMIT University, Australia. Electricity demand reduction in Sydney and Darwin with local climate mitigation Riccardo Paolini UNSW Built Environment, UNSW Sydney, Australia [email protected] Shamila Haddad UNSW Built Environment, UNSW Sydney, Australia [email protected] Afroditi Synnefa UNSW Built Environment, UNSW Sydney, Australia [email protected] Samira Garshasbi UNSW Built Environment, UNSW Sydney, Australia [email protected] Mattheos Santamouris UNSW Built Environment, UNSW Sydney, Australia [email protected] Abstract: Urban overheating in synergy with global climate change will be enhanced by the increasing population density and increased land use in Australian Capital Cities, boosting the total and peak electricity demand. Here we assess the relation between ambient conditions and electricity demand in Sydney and Darwin and the impact of local climate mitigation strategies including greenery, cool materials, water and their combined use at precinct scale. By means of a genetic algorithm, we produced two site-specific surrogate models, for New South Wales and Darwin CBD, to compute the electricity demand as a function of air temperature, humidity and incoming solar radiation. For Western Sydney, the total electricity savings computed under the different mitigation scenarios range between 0.52 and 0.91 TWh for the summer of 2016/2017, namely 4.5 % of the total, with the most relevant saving concerning the peak demand, equal to 9 % with cool materials and water sprinkling. -
Page 1 of 6 This Is Henry's Law. It Says That at Equilibrium the Ratio of Dissolved NH3 to the Partial Pressure of NH3 Gas In
CHMY 361 HANDOUT#6 October 28, 2012 HOMEWORK #4 Key Was due Friday, Oct. 26 1. Using only data from Table A5, what is the boiling point of water deep in a mine that is so far below sea level that the atmospheric pressure is 1.17 atm? 0 ΔH vap = +44.02 kJ/mol H20(l) --> H2O(g) Q= PH2O /XH2O = K, at ⎛ P2 ⎞ ⎛ K 2 ⎞ ΔH vap ⎛ 1 1 ⎞ ln⎜ ⎟ = ln⎜ ⎟ − ⎜ − ⎟ equilibrium, i.e., the Vapor Pressure ⎝ P1 ⎠ ⎝ K1 ⎠ R ⎝ T2 T1 ⎠ for the pure liquid. ⎛1.17 ⎞ 44,020 ⎛ 1 1 ⎞ ln⎜ ⎟ = − ⎜ − ⎟ = 1 8.3145 ⎜ T 373 ⎟ ⎝ ⎠ ⎝ 2 ⎠ ⎡1.17⎤ − 8.3145ln 1 ⎢ 1 ⎥ 1 = ⎣ ⎦ + = .002651 T2 44,020 373 T2 = 377 2. From table A5, calculate the Henry’s Law constant (i.e., equilibrium constant) for dissolving of NH3(g) in water at 298 K and 340 K. It should have units of Matm-1;What would it be in atm per mole fraction, as in Table 5.1 at 298 K? o For NH3(g) ----> NH3(aq) ΔG = -26.5 - (-16.45) = -10.05 kJ/mol ΔG0 − [NH (aq)] K = e RT = 0.0173 = 3 This is Henry’s Law. It says that at equilibrium the ratio of dissolved P NH3 NH3 to the partial pressure of NH3 gas in contact with the liquid is a constant = 0.0173 (Henry’s Law Constant). This also says [NH3(aq)] =0.0173PNH3 or -1 PNH3 = 0.0173 [NH3(aq)] = 57.8 atm/M x [NH3(aq)] The latter form is like Table 5.1 except it has NH3 concentration in M instead of XNH3. -
THE SOLUBILITY of GASES in LIQUIDS Introductory Information C
THE SOLUBILITY OF GASES IN LIQUIDS Introductory Information C. L. Young, R. Battino, and H. L. Clever INTRODUCTION The Solubility Data Project aims to make a comprehensive search of the literature for data on the solubility of gases, liquids and solids in liquids. Data of suitable accuracy are compiled into data sheets set out in a uniform format. The data for each system are evaluated and where data of sufficient accuracy are available values are recommended and in some cases a smoothing equation is given to represent the variation of solubility with pressure and/or temperature. A text giving an evaluation and recommended values and the compiled data sheets are published on consecutive pages. The following paper by E. Wilhelm gives a rigorous thermodynamic treatment on the solubility of gases in liquids. DEFINITION OF GAS SOLUBILITY The distinction between vapor-liquid equilibria and the solubility of gases in liquids is arbitrary. It is generally accepted that the equilibrium set up at 300K between a typical gas such as argon and a liquid such as water is gas-liquid solubility whereas the equilibrium set up between hexane and cyclohexane at 350K is an example of vapor-liquid equilibrium. However, the distinction between gas-liquid solubility and vapor-liquid equilibrium is often not so clear. The equilibria set up between methane and propane above the critical temperature of methane and below the criti cal temperature of propane may be classed as vapor-liquid equilibrium or as gas-liquid solubility depending on the particular range of pressure considered and the particular worker concerned. -
Guide to Understanding Condensation
Guide to Understanding Condensation The complete Andersen® Owner-To-Owner™ limited warranty is available at: www.andersenwindows.com. “Andersen” is a registered trademark of Andersen Corporation. All other marks where denoted are marks of Andersen Corporation. © 2007 Andersen Corporation. All rights reserved. 7/07 INTRODUCTION 2 The moisture that suddenly appears in cold weather on the interior We have created this brochure to answer questions you may have or exterior of window and patio door glass can block the view, drip about condensation, indoor humidity and exterior condensation. on the floor or freeze on the glass. It can be an annoying problem. We’ll start with the basics and offer solutions and alternatives While it may seem natural to blame the windows or doors, interior along the way. condensation is really an indication of excess humidity in the home. Exterior condensation, on the other hand, is a form of dew — the Should you run into problems or situations not covered in the glass simply provides a surface on which the moisture can condense. following pages, please contact your Andersen retailer. The important thing to realize is that if excessive humidity is Visit the Andersen website: www.andersenwindows.com causing window condensation, it may also be causing problems elsewhere in your home. Here are some other signs of excess The Andersen customer service toll-free number: 1-888-888-7020. humidity: • A “damp feeling” in the home. • Staining or discoloration of interior surfaces. • Mold or mildew on surfaces or a “musty smell.” • Warped wooden surfaces. • Cracking, peeling or blistering interior or exterior paint. -
Forecasting of Thunderstorms in the Pre-Monsoon Season at Delhi
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Publications of the IAS Fellows Meteorol. Appl. 6, 29–38 (1999) Forecasting of thunderstorms in the pre-monsoon season at Delhi N Ravi1, U C Mohanty1, O P Madan1 and R K Paliwal2 1Centre for Atmospheric Sciences, Indian Institute of Technology, New Delhi 110 016, India 2National Centre for Medium Range Weather Forecasting, Mausam Bhavan Complex, Lodi Road, New Delhi 110 003, India Accurate prediction of thunderstorms during the pre-monsoon season (April–June) in India is essential for human activities such as construction, aviation and agriculture. Two objective forecasting methods are developed using data from May and June for 1985–89. The developed methods are tested with independent data sets of the recent years, namely May and June for the years 1994 and 1995. The first method is based on a graphical technique. Fifteen different types of stability index are used in combinations of different pairs. It is found that Showalter index versus Totals total index and Jefferson’s modified index versus George index can cluster cases of occurrence of thunderstorms mixed with a few cases of non-occurrence along a zone. The zones are demarcated and further sub-zones are created for clarity. The probability of occurrence/non-occurrence of thunderstorms in each sub-zone is then calculated. The second approach uses a multiple regression method to predict the occurrence/non- occurrence of thunderstorms. A total of 274 potential predictors are subjected to stepwise screening and nine significant predictors are selected to formulate a multiple regression equation that gives the forecast in probabilistic terms.