Crop Water Requirements and Their Application in Planning, Design and Operation Ofirrigation Projects

Total Page:16

File Type:pdf, Size:1020Kb

Crop Water Requirements and Their Application in Planning, Design and Operation Ofirrigation Projects FAO IRRIGATION AND DRAINAGE PAPER 24 revi sed 1977 at uirements FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS ROME FAO IRRIGATION AND DRAINAGE PAPER (2L., revised 1977 clu Mims for [preck'dng i:e[r [aqukramernm by j. drenbos water management specialist land and water development division fao and W. O. PrErfg":k.ri fao coreamN:anr1 isTigadzqi isrdivevzKy oaNcinTje, davis, california, u.s.a, in consultation a. thcautthEieE: gsbar-dc<, ciarivagnez n.g. dastane 7,D(AF:» c. van den be.,v2 p.e. Lii:artna o.m. ashINDscl (ryn-p.c,-11 m. Va-16 and fao field s FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS Rome 1977 SUMMARY This publication is intended to provide guidance in determiningcrop water requirements and their application in planning, design and operation ofirrigation projects. Part 1.1 presents suggested methods to derive crop water requirements. The use of four well-known methods for determining such requirements is defined to obtain reference crop evapotranspiration (ETo), which denotes the level of evapo- transpiration for different climatic conditions.These methods are the Bla.ney- Criddle, the Radiation, the Penman and Pan Evaporation methods, each requiring a different set of climatic data.To derive the evapotranspiration for a specific crop, relationships between crop evapotran.spiration (ETcrop) and reference crop evapotranspiration (ETo) are given in Part I . 2 for different crops, stages of growth, length of growing season and prevailing climatic conditions. The effect of local conditions on crop water requirements is given in Part 1.3;this includes local variation in climate, advection, soil water availability and agronomic and irrigation methods and practices.Calculation procedures are presented together with examples. A detailed discussion on selection and calibration of the preSented methodologies together with the data sources is given in Appendix II. A computer programme on applying the different methods is given in Appendix III. Part 11 discusses the application of crop water requirements data in irriga- tionproject planning, design and operation..Part II. 1 deals v.rith deriving the field water balance, which in turn forms the basis for predicting season.al and peak irrigation supplies for general planning purposes. Attention is given to irrigation efficiency and water requirements for cultural practices and leaching of salts.In Part 11.2 methods are presented to arrive at field and scheme supply schedules with emphasis towards the field water balance and field irrigation management. Criteria are given for operating the canal system using different methods of water delivery, and for subsequent design parameters of the system.Suggestions are made in Part 11.3 on refinement of field and project supply schedules once the project is in operation. The presented guidelines are based on measured data and experience obtained covering a wide range of conditions.Local practical, technical, social a.nd econo- mic considerations will, however, affect the planning criteria selected.Therefore caution and a critical attitude should still be taken when applyin.g the presented methodology. TABLE OF CONTENTS Summary Table of Contents List of Tables List of Figures Conversion Factors Climatological Nometiclature PART I - CALCULATION OF CROP WATER REQUIREMENTS CALCULATION OF REFERENCE CROP EVAPOTRANSPIRATION 3 3.1Blaney-Criddle Method 3 1.2Radiation Method 8 1.3Penman Method 15 1.4Pan Evaporation Method 30 SELECTION OF CROP COEFFICIENT 35 FACTORS AFFECTING CROP EVAPOTRANSPIRATION 55 3.1Climate: variation with time, distance, size of irrigation development, advection, altitude 55 3.2Soil Water: level of .av.ailable soil water, groundwater, salinity, water and crop yields 59 3.3Method of irrigation:surface, sprinkler, drip or trickle, sub- surface irrigation 62 3.4Cultural Practices: fertilizers, plant population, tillage, mulching, windbreaks, anti-transpirants 65 PART II -APPLICATION OF CROP WATER REQUIREMENT DATA IN IDENTI- FICATION , DESIGN AND OPERATION OF IRRIGATION PROIECTS 67 PROJECT IDENTIFICATION AND PRELIMINARY PLANNING 68 1.1Introduction 68 1.2Seasonal and Peak Project Supply Requirements 69 1.2.1Crop water requirements 71 1.2.2Net irrigation requirements: effective rainfall, groundwater contribution, stored .soil water 72 1.2.3Irrigation requirements:leaching requirements, irrigation efficiency 76 1.2.4Summary of calculation of seasonal and peak project supply requirements 81 PROJECT DESIGN 83 2.1introduction 83 2.2Field and Project Supply Schedules 83 2.2.1Field irrigation schedules: depth of irrigation application, irrigation application interval, calculation of field irrigation schedules 86 2.2.2Field irrigation supply schedules: surface, sprinkler drip 90 2.2.3Design and operation of supply system: continuous, rotational, supply on demand 96 2.2.4Summary calculation of project design and operation 100 PROJECT OPERATION 102 3.1Refinement of Field Supply Schedules: adaptive research, data collection, project monitoring 102 3.2Application of Field Irrigation Data 104 Appendix I Persons and Institutes Consulted 107 Appendix II Background and Development of Methods to Predict Reference Crop Evapotranspiration 108 Appendix III Computer Programme for Estimation of Reference Crop Evapotranspiration 120 Appendix IV Glossary 133 Appendix V References 137 Appendix VIConstants for the Radiation Equation Rs = (a + b njol)Ra 144 LIST OF TABLES Page I. Mean daily percentage (p) of annual daytime hours for different latitudes 6 Extra terrestrial radiation (Ra) expressed in equivalent evaporation in mm/day 12 Mean daily duration of maximum possible sunshine hours (N) for different months and latitudes 13 Values of weighting factor (W) for the effect of radiation on ETo at different temperatures and altitudes 13 Saturation vapour pressure (ea) in mbar as function of mean air temperature (T) in oC 21 Vapour pressure (ed) in mbar from dry and wet bulb temperature data in °C (aspirated psychrometer) 21 Vapour pressure (ed) in mbar from dry and wet bulb temperature data in °C (non-ventilated psychrometer) 22 Values of wind function f(u) = 0.27 (1 + Tdd)U2 for wind run at 2 m height in km/day 23 Values of weighting factor (1-W) for the effect of wind an.d humidity on ETo at different temperatures and altitudes 24 Values of weightin.g factor (W) for the effect of radiation on ETo at different temperatures and altitudes 24 Extra terrestrial radiation (Ra) expressed in equivalent evaporation in mm/day 25 Mean daily duration of maximum possible sunshine hours (N) for different months and latitudes 26 Conversion factor for extra-terrestrial radiation (Ra) to net solar radiation (Rns) for a given reflection oc of 0.25 and different ratios of actual to maximum sunshine hours (1- cCX0.25 + 0.50 n/N) 27 Effect of temperature f(T) on longwave radiation (Rnl) 27 Effect of vapour pressure f(ed) on longwave radiation (Rn1) 27 Effect of the ratio actual and maximum bright sunshine hours f(n/N) on longwave radiation (Rnl) 27 Adjustment factor (c) in presented Penman equation 28 Ratios between evaporation from sunken pans mentioned and from Colorado sunken pan for different climatic conditions and pan environments 33 Pan coefficient (Kp) for Class A pan for different groundcover and levels of mean relative humidity and 24 hour vrind 34 Pan coefficient (Kp) for Colorado sunken pan for different groundcover and levels of mean relative humidity and a hour wind 34 Approximate range of seasonal ETcrop in mm 36 Crop coefficient (kc) for field and vegetable crops for different stages of crop growth and prevailing Climatic conditions 40 Length of growing season and crop development stages of selected field crops;some indications 42 kc values for alfalfa, clover, grass-legtimes and pasture 45 Page kc values for bananas 46 kc values for citrus (grown in predominantly dry areas with light to moderate wind) 47 kc values for full grown deciduous fruit and nut trees 49 kc values for grapes (clean cultivated, infrequent irrigation, soil surface dry most of the time) 50 kc'values for rice 51 kc values for sugarcane 52 kc values for aquatic weeds and coefficients for open water 54 Tolerance levels of crops to high groundwater tables an.d waterlogging 60 Critical periods for soil water stress for different crops 63 Project planning stages and irrigation supply data 67 Average monthly effective rainfall as related to average monthly ETcrop and mean monthly rainfall 75 Effect of irrigation water quality on soil salinity, permeability and toxicity 77 Crop salt tolerance levels for different crops 78 Conveyance (Ec), field canal (Eb), distribution (Ed) and field application efficiency (Ea) 80 Relation between soil water tension in bars (atmospheres) and available soil -water in mm/m soil depth 86 Generalized data on rooting depth of full grown crops, fraction of available soil water (p) and readily available soil water (p.Sa) for different soil types (in mm/m soil depth) when ETcrop is 5- 6 mm/day 88 Average intake rates of water in mm/hr for different soils and .corresponding stream size 1/sec/ha 91 Size of basins and stream size for different soils 93 Length of furrows and stream size for different soil type, land slopeand depth of water application 93 Size of borders and stream size for different soil t3rpe and land slope(deep rooted crops) 93 44 . Operating figures for some sprinklers (square pattern) 94 Flow rate per drip emitter (qe) in l/hr, continuous flow, fordifferent ETcrops and number of emitters per ha 95 Flow rate per tree, continuous
Recommended publications
  • Homework No. 4 - Solution
    Homework No. 4 - Solution 1. For Lake Nasser, Egypt, in July, the average net radiation is 170 W m-2; the mean daily air temperature is 28.5 ºC, the relative humidity is 55 percent and the wind speed is 2.7 m s-1 at z2=2 m. D At the above temperature is equal to 3.6. Assume zo=0.0003 m and p=101300 Pa. g a. Obtain the open water evaporation rate in millimeters per day using the Thornthwaite- Holzmann aerodynamic or mass transfer method. b. Obtain the open water evaporation rate in millimeters per day using the Penman equation. Use both the aerodynamic method and the empirical Penman equation for the evaluation of the drying power of the air, and compare your results. For each of these conditions, what is the Bowen Ratio? c. Obtain the equilibrium evaporation rate, Ee. d. Obtain the Bowen Ratio implied by the equilibrium evaporation rate and compare with the Bowen Ratio obtained in part b. e. Obtain estimates of the sensible heat flux for these conditions. f. Obtain estimates of the evaporation rate under conditions of minimal advection, Epe. Useae = 1.28. Obtain the Bowen Ratio implied by this rate of evaporation under conditions of minimal advection. g. Obtain the evapotranspiration rate if the above conditions apply to a (well-watered) vegetated surface for which the stomatal resistance equals 200 s/m. For the aerodynamic resistance use the following expression: 2 z2 ln zo r := av k 2 u O restart;with(student); D, Diff, Doubleint, Int, Limit, Lineint, Product, Sum, Tripleint, changevar, completesquare, distance, equate, integrand, intercept, intparts, leftbox, leftsum, makeproc, middlebox, middlesum, midpoint, powsubs, rightbox, rightsum, showtangent, simpson, slope, summand, trapezoid Define evaporation functions needed for this solution: Saturation vapor pressure function (Clausius-Clapeyron eqn.) in Pascals.
    [Show full text]
  • Calibration of Crop Water Use with the Penman Equation Under United Arab Emirates Conditions
    AN ABSTRACT OF THE THESIS OF Fareed H. A. N. Mohammed for the degree of Master of Sciencein Soil Science presented on March 9, 1988. Title: Calibration of Crop Water Use With the Penman Equation Under United Arab Emirates Conditions Redacted for Privacy Abstract approved: r BenriO.-P. Warkentin Water shortage is one of the biggest problemsfacing agricultural development in the United Arab Emirates, becauseof the extremely arid climate and the large amount ofirrigation water that is used for crops. Prediction of crop water require- ments is essential to solve water managementproblems in this country. Two versions of the Penman equation, FAO and Wright, were used to estimate reference crop evapotranspirationfrom meteoro- logical data for three regions in the U. A. E.; Northern, Central, and Eastern. Lysimeter measurements at the Northern region wereprovided for five crops; tomato for one season; cabbage, cucumber,and squash each for two seasons; and watermelon for three seasons. Crop evapotranspiration was estimated forthese crops and related to measured crop evapotranspiration. It was found that there is great variation in measured cropevapotranspiration between seasons for individual crops, due totechnical problems with the lysimeter. Combined seasons were used to calibrate the Penman equation, and the resultsindicated that the calibration improved the estimated crop evapotranspiration. Calibration coefficients for individual crops and forindividual methods were calculated. Reference crop evapotranspiration(Etr) value for the three regions were correlated. A high correlation of estimated Etr among the three regions wasfound. Coefficients were developed to predict Etr at the Centraland Eastern regions from the Etr at the Northern region. CALIBRATION OF CROP WATER USE WITH THE PENMAN EQUATION UNDER UNITED ARAB EMIRATES CONDITIONS by Fareed H.
    [Show full text]
  • The Transition of the Blaney-Criddle Formula to the Penman-Monteith Equation in the Western United States
    THE TRANSITION OF THE BLANEY-CRIDDLE FORMULA TO THE PENMAN-MONTEITH EQUATION IN THE WESTERN UNITED STATES Theodore W. Sammis Department of Plant and Environmental Sciences New Mexico State University Junming Wang Department of Agricultural Sciences Tennessee State University David R. Miller Department of Natural Resources and Environment University of Connecticut 2011 Journal of Service Climatology Volume 5, Number 1, Pages 1-11 A Refereed Journal of the American Association of State Climatologists The Transition of the Blaney-Criddle Formula to the Penman-Monteith Equation in the Western United States Theodore W. Sammis Department of Plant and Environmental Sciences New Mexico State University Junming Wang Department of Agricultural Sciences Tennessee State University David R. Miller Department of Natural Resources and Environment University of Connecticut Corresponding Author: Theodore W. Sammis, MSC 3Q, Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM 88003, USA. Tel. 575-646-2104, [email protected]. Abstract This paper reviews the history of calculating “consumptive water use,” later termed evapotranspiration (Et), for plants in the western U.S. The Blaney-Criddle formula for monthly and seasonal consumptive water use was first developed for New Mexico in 1942 for limited crops. The formula was based on the input of monthly mean air temperature and an empirical monthly/seasonal coefficient. Subsequent changes improved the Blaney-Criddle formula by adding more weather and crop variables. The availability of data from automated weather stations, after about 1980, that measure more weather input variables has allowed the empirical Blaney-Criddle formula to be replaced by the mechanistic standardized Penman-Monteith equation with an appropriate crop coefficient to calculate Et.
    [Show full text]
  • Asce Standardized Reference Evapotranspiration Equation
    THE ASCE STANDARDIZED REFERENCE EVAPOTRANSPIRATION EQUATION Task Committee on Standardization of Reference Evapotranspiration Environmental and Water Resources Institute of the American Society of Civil Engineers January, 2005 Final Report ASCE Standardized Reference Evapotranspiration Equation Page i THE ASCE STANDARDIZED REFERENCE EVAPOTRANSPIRATION EQUATION PREPARED BY Task Committee on Standardization of Reference Evapotranspiration of the Environmental and Water Resources Institute TASK COMMITTEE MEMBERS Ivan A. Walter (chair), Richard G. Allen (vice-chair), Ronald Elliott, Daniel Itenfisu, Paul Brown, Marvin E. Jensen, Brent Mecham, Terry A. Howell, Richard Snyder, Simon Eching, Thomas Spofford, Mary Hattendorf, Derrell Martin, Richard H. Cuenca, and James L. Wright PRINCIPAL EDITORS Richard G. Allen, Ivan A. Walter, Ronald Elliott, Terry Howell, Daniel Itenfisu, Marvin Jensen ENDORSEMENTS Irrigation Association, 2004 ASCE-EWRI Task Committee Report, January, 2005 ASCE Standardized Reference Evapotranspiration Equation Page ii ABSTRACT This report describes the standardization of calculation of reference evapotranspiration (ET) as recommended by the Task Committee on Standardization of Reference Evapotranspiration of the Environmental and Water Resources Institute of the American Society of Civil Engineers. The purpose of the standardized reference ET equation and calculation procedures is to bring commonality to the calculation of reference ET and to provide a standardized basis for determining or transferring crop coefficients for agricultural and landscape use. The basis of the standardized reference ET equation is the ASCE Penman-Monteith (ASCE-PM) method of ASCE Manual 70. For the standardization, the ASCE-PM method is applied for two types of reference surfaces representing clipped grass (a short, smooth crop) and alfalfa (a taller, rougher agricultural crop), and the equation is simplified to a reduced form of the ASCE–PM.
    [Show full text]
  • Ref ET Manual
    REF-ET: REFERENCE EVAPOTRANSPIRATION CALCULATION SOFTWARE for FAO and ASCE Standardized Equations Version 2.0 for Windows for Windows 95, 98 and NT Copyright 1999, 2000 University of Idaho and Dr. Richard G. Allen TABLE OF CONTENTS LIST OF TABLES ............................................................................................................................... iv LIST OF FIGURES ............................................................................................................................. iv Reference Evapotranspiration Calculator ............................................................................................1 Reference ET Methods Calculated by REF-ET for Windows Version 2..............................................2 Computation Time Steps .....................................................................................................................2 REF-ET Installation and Computer System Requirements .................................................................3 Creating a Shortcut and Screen Icon for REF-ET ...............................................................................6 Disclaimer ............................................................................................................................................6 Distribution and Support Limitations ....................................................................................................6 Example Data Files..............................................................................................................................7
    [Show full text]
  • A1 6 Do You Want to Hang Out?
    Journal of Physics Special Topics A1_6 Do you want to hang out? M. Bayliss, P. Dodd, F. Kettle, T. Sukaitis, A. Webb Department of Physics and Astronomy, University of Leicester, Leicester, LE1 7RH. November 15, 2011 Abstract This paper addresses the simple question: how much time will it take for wet clothes to dry, if they are hung up on a washing line, based on the current weather conditions? The metric form of the Penman equation is used to calculate the evaporation rate of water from a plane surface, which is dependent on the meteorological conditions of ambient temperature, wind speed, relative humidity, and the various properties of air and water at said ambient temperature. Empirically measuring the surface area of, and the mass of water contained in, a wet piece of clothing enables the time taken for total evaporation to be determined. This paper concludes with an equation for , provided the above factors are known, and gives example results for different items of clothing at a certain date and location. Introduction Shuttleworth re-writes this equation in metric During the winter months, when we are not units as blessed with a sunny climate, drying clothes naturally becomes a chore. With inclement (2) weather, cold temperatures, and fewer daylight hours, it is difficult to work out whether hanging clothes outside in the (in ), where is the morning will dry before the evening. This rate of change of saturated vapour pressure paper addresses that question, defining an (in ) at air temperature; expression for the time taken for a simple is piece of clothing to dry as a function of the latent heat of vaporization in water ( is weather conditions (easily available from the the surface temperature in Kelvin); is the internet), location, and of certain measurable estimated energy available for evaporation properties of the piece of clothing.
    [Show full text]
  • Optimal Calibration of Evaporation Models Against Penman–Monteith Equation
    water Article Optimal Calibration of Evaporation Models against Penman–Monteith Equation Dagmar Dlouhá , Viktor Dubovský * and Lukáš Pospíšil Department of Mathematics, Faculty of Civil Engineering, VSB-TU Ostrava, Ludvíka Podéštˇe1875/17, 708 00 Ostrava, Czech Republic; [email protected] (D.D.); [email protected] (L.P.) * Correspondence: [email protected] Abstract: We present an approach for the calibration of simplified evaporation model parameters based on the optimization of parameters against the most complex model for evaporation estimation, i.e., the Penman–Monteith equation. This model computes the evaporation from several input quantities, such as air temperature, wind speed, heat storage, net radiation etc. However, sometimes all these values are not available, therefore we must use simplified models. Our interest in free water surface evaporation is given by the need for ongoing hydric reclamation of the former Ležáky–Most quarry, i.e., the ongoing restoration of the land that has been mined to a natural and economically usable state. For emerging pit lakes, the prediction of evaporation and the level of water plays a crucial role. We examine the methodology on several popular models and standard statistical measures. The presented approach can be applied in a general model calibration process subject to any theoretical or measured evaporation. Keywords: model calibration; evaporation; Penman–Monteith equation; optimization; cross-validation Citation: Dlouhá, D.; Dubovský, V.; Pospíšil, L. Optimal Calibration of 1. Introduction Evaporation Models against Evaporation and evapotranspiration play a crucial role in water management in a Penman–Monteith Equation. Water 2021, 13, 1484. https://doi.org/ wide range of human activities and thus there is a strong need for accurate estimates.
    [Show full text]
  • 1 Lecture 33, Canopy Evaporation
    Lecture 33, Canopy Evaporation and Transpiration, part 3, Theory November 19, 2014 Instructor: Dennis Baldocchi Professor of Biometeorology Ecosystem Science Division Department of Environmental Science, Policy and Management 345 Hilgard Hall University of California, Berkeley Berkeley, CA 94720 [email protected] Topics Concepts, 1 1. Evaporation 2. Potential Evaporation 3. Equilibrium Evaporation 4. Transpiration 5. Dew, Condensation, Distillation Modeling Approaches A. Bowen Ratio B. Thornthwaite Equation C. Penman’s Combination Equation D. Penman Monteith Equation E. Isothermal Energy Balance F. Equilibrium Evaporation G. Priestly-Taylor Equation Concepts, 2 1. Canopy conductance 2. Coupling Theory, Canopy Scale 3. Sensitivity and Feedbacks L33.1. Introduction Evaporation is the “physical process by which a liquid or solid is converted to a gaseous state” (Glossary of Meteorology). 1 Plant canopies introduce water vapor into the atmosphere via transpiration and the evaporation of water from the soil and free water on the leaves and stems. Some scientists call the summed rate evapotranspiration. This field has a long and rich history with over 7000 peer-reviewed articles identified on the web of science, circa 2008. Different and opposing views have been used historically to define evaporation (Jarvis and McNaughton, 1986). Meteorologists argue from the thermodynamic viewpoint that energy is required to drive the latent heat of vaporization. Evaporation also causes the surface and surrounding air to cool, which condensation releases heat. Physiologists counter that evaporation is driven by a potential difference between the humidity of the surface and the free atmosphere. The problem these opposing arguments is that they are valid for the scale at which they were defined and applied.
    [Show full text]
  • Evapotranspiration
    Hydrologic Science and Engineering Civil and Environmental Engineering Department Fort Collins, CO 80523-1372 (970) 491-7621 EVAPOTRANSPIRATION ENERGY BUDGET METHODS. Energy budget methods are based on the direct application of the energy budget equation, or some approximation thereof. The energy budget equation for a control volume including a transpiring canopy and a thin layer of surface soil can be written as, ∂W = R + A − L E − H − G − L F (2) ∂t n h v p p or Qn = Lv E + H (3) where LvE is the latent heat flux or energy flux used in evaporation; H is the sensible heat flux (i.e., diffusive heat exchange between the land surface and the atmosphere); and Qn is the available energy flux density. Qn includes contributions from radiative, advective, and diffusive processes, and energy storage changes. Over land surfaces, the available energy flux density can be expressed as, dW Q = R − G + A − L F − (4) n n h p p dt where Rn is the net radiation flux density at the surface; Ah is energy added to the system by advection; dW/dt is the change in energy storage of the system; G is the net diffusive ground heat flux out of the soil layer; and LpFp is energy use in photosynthesis. The contributions to the net radiation flux density at the surface are the incident short wave radiation, Rs; the short wave radiation reflected back into the atmosphere, asRs; the net long wave radiation from the atmosphere absorbed by the surface, Rld; and the long wave radiation emitted by the surface, Rlu.
    [Show full text]
  • The Prediction of Daily Drying Rates
    , QC 995 . U61 no. 56 c . 2 F ;hnical Memorandum NWS CR-56 THE PREDICTION OF DAILY DRYING RATES Jerry D. Hill WSO/AG Lexington, Kentucky Scientific Services Division Central Region Headquarters November 1974 NATIONAL OCEANIC AND National Weather noaa ATMOSPHERIC ADMINISTRATION Service I NOW TFCHNICAL MEMORANDA National Weathar Service, Central Region 6ubaarlea r> w„.hBr Service Central Region (CR) sube.rl.e provldea an Infernal medium for the documentation and quick dl.e.minatlon The National Weather^Servlcetentr ^ for publication. n,e eerie. la uaed to report on work In progress, to deacrlbe * h*?U«l,nroredurra and practices or to relate progr.se to a limited audience. Thoae Technical Memoranda will report on lnvestlga- ufn? IwX .f mainly to regional p.rconn.1. a^ hence will not be widely dlatribuUd. Pane re 1 to 11 are In the former aeries. ES5A Technical Memoranda, Central Region Technical Memoranda (CRTH); papers 16 to 36 are ln^the former^serles, FSSA Technical Memoranda, Weather Bureau Technical Memoranda (WBTM). Beginning with 37, the papers are now part of the aeries, NOAA Technical Memoranda NWS. Papers that have a FB or COM number are available from the National Technical Information Service, U. S. Department of Connerce, ►JjL Prt»-t RovaI Rond SDrinrfield Va. 22151. Price: $3.00 piper copy; $0.95 microfiches Order by Accession number shown in parenthe9ls°at end of each entry.’ All other papers are available from the National Weather Service Central Region, Scientific Service* Division, Room 1836, 601 E. 12th Strest, Kansas City, Mo. 66106. ESSA Technical Memoranda Precipitation Probability Forecaat Verification Sunmary Nov.
    [Show full text]
  • Penman Equation Empirical Method
    PENMAN EQUATION EMPIRICAL METHOD Mat Jasper Basil Penman Equation to Estimate Potential Evapotranspiration (PET) Penman’s equation is based on sound theoretical reasoning and is obtained by a combination of the energy – balance and mass – transfer approach. - It is used to estimate evaporation from water, and land Penman Equation to Estimate Potential Evapotranspiration (PET) Eep – potential evapotranspiration(mm/day) Rn – net radiation(MJ/m/d) G – heat flux density to the ground ll –– latentlatent heatheat ofof vaporization(MJ/kg)vaporization(MJ/kg) U2 – wind speed(m/sec) ∆ - slope of the saturation vapor pressure- temperature curve(kpa/⁰ C) g - psychometric constant(kpa/⁰ C) P – atmospheric pressure es-ed - vapor pressure deficit ∆ = 0.2(0.00738T + 0.8072)7 – 0.000116 P = 101.3 – 0.01055H g = Cp P 0.622l l = 2.501 – 2.361x10-3 T (Ti+1 – Ti-1) G = 4.2 -------------∆ t Example: Estimate the Eep for Aug 2, 1992 from a field close to Hoytville, OH, using Penman’s method. Radiation data, wind speed and pan evaporation were measured at the site. The other weather data are taken from the Hoytville daily summaries published by NOAA: Tavg(Aug 2)=18.6ᵒ C; Tmax(Aug 2) = 24.4ᵒ C; Tmin(Aug 2) = 12.8ᵒ C; Tavg(Aug 1) = 15ᵒ C; Tavg(Aug 3) = 20.6ᵒ C; ed(8am) = 1.1759kPa; U2 = 1.83m/sec; 2 R1 = 19.33MJ/m /d; ELEV = 213.4m and lat = 41ᵒ N Solution Calcute: for G (20.6 -15.0) G = 4.2 ------------------- = 11.76MJ/m2/d 2 Calculate l l = (2.501 – 2.361x10-3)(18.6) = 2.4571MJ/Kg Calculate for P P = 101.3 – 0.01055(213.4) = 99.05kPa 0.001013(99.05) g =----------------------- =0.0657 0.622(2.4571) Calculate ∆ ∆ = 0.2[0.00738(18.6) + 0.8072]7 – 0.000116 = 0.134 Rn = 10.63MJ/m2/d es-ed = 1.0927 kPa 0.134(10.63 – 11.76) 0.657 + 0.134+0.0657 0.134+0.0657 (6.43)(1+0.53(1.83))(1.0927) 2.4571 Eep = Eep = 1.54mm/d Empirical Method Empirical equations are available to estimate lake evaporation using commonly available meteorological data.
    [Show full text]
  • 5.5 Evaporation from Open Water: the Penman Method
    The Jensen-Haise (1 963) formula, with adjusted units, reads R ET, = (0.025Ta 0.08)l + 28.6 (5.7) where ET,, = potential evapotranspiration rate (mm/d) R, = incoming short-wave radiation (W/m2) Ta = average air temperature at 2 m ("C) Equations 5.5 and 5.7 generally underestimate ET, during spring, and overestimate it during summer, because T, is given too much weight and R, too little. 5.4.2 Air-Temperature and Day-Length Method The formula of Blaney-Criddle (1 950) was developed for the western part of the U.S.A. (i.e. for a climate of the Mediterranean type). It reads ET, = k p (0.457Tam+ 8.13) (0.031Ta, + 0.24) (5.8) where ET, = monthly potential evapotranspiration (mm) k = crop coefficient (-) p = monthly percentage of annual daylight hours (-) Tam = monthly average air temperature ("C) Ta, = annual average air temperature ("C) The last term, with Ta,, was added to adapt the equation to climates other than the Mediterranean type. The method yields good results for Mediterranean-type climates, but in tropical areas with high cloudiness the outcome is too high. The reason for this is that, besides air temperature, solar radiation plays an important role in evaporation. For more details, see Doorenbos and Pruitt (1977). More commonly used nowadays are the more physically-oriented approaches (i.e. the Penman and Penman-Monteith equations), which give a much better explanation of the evaporation process. 5.5 Evaporation from Open Water: the Penman Method The Penman method (1948), applied to open water, can be briefly described by the energy balance at the earth's surface, which equates all incoming and outgoing energy fluxes (Figure 5.4).
    [Show full text]