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Evapotranspiration Under Changing Climate

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Major Crops and Water Scarcity in Egypt

Part of the book series: SpringerBriefs in Water Science and Technology ((BRIEFSWATER))

Abstract

This chapter described methodology to calculate evapotranspiration (ET) values similar to the values calculated with Penman–Monteith equation (P–M), using ET values calculated by Hargreaves–Samani equation (H–S) under current and climate change. The BISm model was used to calculate monthly values of ET using P–M and H–S equations using weather data averaged over 10 years, from 2004 to 2013 for each of the 17 studied governorates and the values were compared. The comparison showed that there were deviations between monthly ET values calculated for each equation in each governorate. Thus, a linear regression equation was established with ET values resulted from P–M plotted as the dependent variable and ET values from H–S equation plotted as the independent variable. The quality of the fit between the two methodologies was presented in terms of the coefficient of determination (R2) and root mean square error per observation (RMSE/obs). ECHAM5 climate change model was used to develop A1B climate change scenario for each governorate for the years 2020, 2030 and 2040, where ET values were calculated. The results indicated that R2 was between close to one and RMSE/obs values were close to zero. The results also indicated that the calibration coefficients were capable to account for the effect of relative humidity, wind speed and potential sunshine hours, which were not included in the H–S equation. Furthermore, under A1B climate change scenario, the values of ET were increased. The above methodology could solve a large problem that faces researchers and extension workers in irrigation scheduling in Egypt and in other developing countries under current climate and in calculation of water requirements under climate change.

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References

  • Allen RG, Jensen ME, Wright JL, Burman RD (1989) Operational estimate of reference evapotranspiration. Agron J 81:650–662

    Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guideline for computing crop water requirements. FAO No56

    Google Scholar 

  • Blaney HF, Criddle WD (1950) Determining water requirements in irrigated areas from climatological and irrigation data. USDA/SCS, SCS-TP 96

    Google Scholar 

  • Droogers P, Allen RG (2002) Estimating reference evapotranspiration under inaccurate data conditions. Irrig Drain Syst 16(1):33–45

    Article  Google Scholar 

  • Eid HM (2001) Climate change studies on Egyptian agriculture. Soils, Water and Environment Research Institute. Agricultural Research Center, Egypt

    Google Scholar 

  • Gardner FP, Pearce RB, Mitchell RL (1985) Physiology of crop plants. IOWA State University Press, Ames

    Google Scholar 

  • Hargreaves GH, Allen RG (2003) History and evaluation of Hargreaves evapotranspiration equation. J Irrig Drain Eng 129(1):53–63

    Article  Google Scholar 

  • Hargreaves GH, Samani ZA (1982) Estimating potential evapotranspiration. J Irrig Drain Div 108(3):225–230

    Google Scholar 

  • Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Trans ASAE 1(2):96–99

    Google Scholar 

  • IPCC Intergovernmental Panel on Climate Change (2007) Intergovernmental panel on climate change fourth assessment report: climate change 2007. Synthesis report. World Meteorological Organization, Geneva

    Book  Google Scholar 

  • Jamieson PD, Porter JR, Goudriaan J, Ritchie JT, van Keulen H, Stol W (1998) A comparison of the models AFRCWHEAT2, CERES-Wheat, Sirius, SUCROS2 and SWHEAT with measurements from wheat grown under drought. Field Crops Res 55:23–44

    Article  Google Scholar 

  • Jones PG, Thornton PK, Heinke J (2009) Generating characteristic daily weather data using downscaled climate model data from the IPCC’s fourth assessment: project report

    Google Scholar 

  • Khalil AA (2013) Effect of climate change on evapotranspiration in Egypt. Researcher 5(1):7–12

    Google Scholar 

  • Khalil F, Ouda SA, Osman N, Khamis E (2011) Determination of agro-climatic zones in Egypt using a robust statistical procedure. In: 15th international conference on water technology, Alexandria, 30 May–2 June

    Google Scholar 

  • Monteith JL (1965) Evaporation and environment. In: Fogg GE (ed) Symposium of the Society for Experimental Biology: the state and movement of water in living organisms, vol 19. Academic Press Inc, NY, pp 205–234

    Google Scholar 

  • Roeckner E, Bäuml G, Bonaventura L, Brokopf R, Esch M, Giorgetta M, Hagemann S, Kirchner I, Kornblueh L, Manzini E, Rhodin A, Schlese U, Schulzweida U, Tompkins A (2003) The atmospheric general circulation model ECHAM5. Part I: model description. MPI Report 349, Max Planck Institute for Meteorology, Hamburg, Germany, 127 pp

    Google Scholar 

  • Samani Z (2000) Estimating solar radiation and evapotranspiration using minimum climatological data. J Irrig Drain Eng 126(4):265–267

    Google Scholar 

  • Sepaskhah AR, Razzaghi FH (2009) Evaluation of the adjusted Thornthwaite and Hargreaves-Samani methods for estimation of daily evapotranspiration in a semiarid region of Iran. Arch Agron Soil Sci 55(1):51–56

    Article  Google Scholar 

  • Shahid S (2011) Impacts of climate change on irrigation water demand in Northwestern Bangladesh. Clim Change 105(3–4):433–453

    Article  Google Scholar 

  • Shahidian S, Serralheiro R, Teixeira JL, Santos FL, Oliveira MR, Costa J, Toureiro C, Haie N, Machado R (2009) Drip irrigation using a PLC based adaptive irrigation system WSEAS transactions on environment and development, vol 2

    Google Scholar 

  • Shahidian S, Serralheiro R, Serrano J, Teixeira J, Haie N, Francisco S (2012) Hargreaves and other reduced-set methods for calculating evapotranspiration. In: Irmak A (ed) Evapotranspiration—remote sensing and modeling. ISBN: 978-953-307-808-3, InTech. http://www.intechopen.com/books/evapotranspiration-remote-sensing-and-modeling/hargreaves-and-otherreduced-set-methods-for-calculating-evapotranspiration

    Google Scholar 

  • Snyder RL, Orang M, Bali K, Eching S (2004) Basic irrigation scheduling (BIS). http://www.waterplan.water.ca.gov/landwateruse/wateruse/Ag/CUP/Californi/Climate_Data_010804.xls

  • Snyder RL, Moratiel R, Zhenwei S, Swelam A, Jomaa I, Shapland T (2011) Evapotranspiration response to climate change. Acta Hortic (ISHS) 922:91–98. http://www.actahort.org/books/922/922_11.htm

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Ouda, S., Noreldin, T., Hosney, M. (2016). Evapotranspiration Under Changing Climate. In: Major Crops and Water Scarcity in Egypt. SpringerBriefs in Water Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-21771-0_1

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