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Journal of Integrative Agriculture  2013, Vol. 12 Issue (8): 1371-1388    DOI: 10.1016/S1671-2927(00)9050
Special Focus: Water Versus Energy Advanced Online Publication | Current Issue | Archive | Adv Search |
California Simulation of Evapotranspiration of Applied Water and Agricultural Energy Use in California
 Morteza N Orang, Richard L Snyder, Shu Geng, Quinn J Hart, Sara Sarreshteh, Matthias Falk, Dylan
1.California Department of Water Resources, CA 94236-0001, USA
2.Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
3.School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, P.R.China
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摘要  The California Simulation of Evapotranspiration of Applied Water (Cal-SIMETAW) model is a new tool developed by the California Department of Water Resources and the University of California, Davis to perform daily soil water balance and determine crop evapotranspiration (ETc), evapotranspiration of applied water (ETaw), and applied water (AW) for use in California water resources planning. ETaw is a seasonal estimate of the water needed to irrigate a crop assuming 100% irrigation efficiency. The model accounts for soils, crop coefficients, rooting depths, seepage, etc. that influence crop water balance. It provides spatial soil and climate information and it uses historical crop and land-use category information to provide seasonal water balance estimates by combinations of detailed analysis unit and county (DAU/County) over California. The result is a large data base of ETc and ETaw that will be used to update information in the new California Water Plan (CWP). The application uses the daily climate data, i.e., maximum (Tx) and minimum (Tn) temperature and precipitation (Pcp), which were derived from monthly USDA-NRCS PRISM data (PRISM Group 2011) and daily US National Climate Data Center (NCDC) climate station data to cover California on a 4 km×4 km change grid spacing. The application uses daily weather data to determine reference evapotranspiration (ETo), using the Hargreaves-Samani (HS) equation (Hargreaves and Samani 1982, 1985). Because the HS equation is based on temperature only, ETo from the HS equation were compared with CIMIS ETo at the same locations using available CIMIS data to determine correction factors to estimate CIMIS ETo from the HS ETo to account for spatial climate differences. Cal-SIMETAW also employs near real-time reference evapotranspiration (ETo) information from Spatial CIMIS, which is a model that combines weather station data and remote sensing to provide a grid of ETo information. A second database containing the available soil water holding capacity and soil depth information for all of California was also developed from the USDA-NRCS SSURGO database. The Cal-SIMETAW program also has the ability to generate daily weather data from monthly mean values for use in studying climate change scenarios and their possible impacts on water demand in the state. The key objective of this project is to improve the accuracy of water use estimates for the California Water Plan (CWP), which provides a comprehensive report on water supply, demand, and management in California. In this paper, we will discuss the model and how it determines ETaw for use in water resources planning.

Abstract  The California Simulation of Evapotranspiration of Applied Water (Cal-SIMETAW) model is a new tool developed by the California Department of Water Resources and the University of California, Davis to perform daily soil water balance and determine crop evapotranspiration (ETc), evapotranspiration of applied water (ETaw), and applied water (AW) for use in California water resources planning. ETaw is a seasonal estimate of the water needed to irrigate a crop assuming 100% irrigation efficiency. The model accounts for soils, crop coefficients, rooting depths, seepage, etc. that influence crop water balance. It provides spatial soil and climate information and it uses historical crop and land-use category information to provide seasonal water balance estimates by combinations of detailed analysis unit and county (DAU/County) over California. The result is a large data base of ETc and ETaw that will be used to update information in the new California Water Plan (CWP). The application uses the daily climate data, i.e., maximum (Tx) and minimum (Tn) temperature and precipitation (Pcp), which were derived from monthly USDA-NRCS PRISM data (PRISM Group 2011) and daily US National Climate Data Center (NCDC) climate station data to cover California on a 4 km×4 km change grid spacing. The application uses daily weather data to determine reference evapotranspiration (ETo), using the Hargreaves-Samani (HS) equation (Hargreaves and Samani 1982, 1985). Because the HS equation is based on temperature only, ETo from the HS equation were compared with CIMIS ETo at the same locations using available CIMIS data to determine correction factors to estimate CIMIS ETo from the HS ETo to account for spatial climate differences. Cal-SIMETAW also employs near real-time reference evapotranspiration (ETo) information from Spatial CIMIS, which is a model that combines weather station data and remote sensing to provide a grid of ETo information. A second database containing the available soil water holding capacity and soil depth information for all of California was also developed from the USDA-NRCS SSURGO database. The Cal-SIMETAW program also has the ability to generate daily weather data from monthly mean values for use in studying climate change scenarios and their possible impacts on water demand in the state. The key objective of this project is to improve the accuracy of water use estimates for the California Water Plan (CWP), which provides a comprehensive report on water supply, demand, and management in California. In this paper, we will discuss the model and how it determines ETaw for use in water resources planning.
Keywords:  soil water balance       crop water requirements       weather generator       water resource planning       crop coefficient       energy use  
Received: 17 October 2012   Accepted:
Fund: 

The study was supported and funded by the California Department of Water Resources (DWR).

Corresponding Authors:  Correspondence Morteza N Orang, Tel: +1-916-6537707, E-mail: morang@water.ca.gov     E-mail:  morang@water.ca.gov

Cite this article: 

Morteza N Orang, Richard L Snyder, Shu Geng, Quinn J Hart, Sara Sarreshteh, Matthias Falk, Dylan . 2013. California Simulation of Evapotranspiration of Applied Water and Agricultural Energy Use in California. Journal of Integrative Agriculture, 12(8): 1371-1388.

[1]Allen R G, Pereira L S, Raes D, Smith M. 1998. Cropevapotranspiration: guidelines for computing crop waterrequirements. In: FAO Irrigation and Drainage Paper 56.United Nations-Food and Agricultural Organization, Rome.

[2]Allen R G, Walter I A, Elliott R L, Howell T A, Itenfisu D,Jensen M E, Snyder R L. 2005. The ASCE StandardizedReference Evapotranspiration Equation. AmericanSociety of Civil Engineering. Reston, Virginia. p. 192.CIMIS. 2011. Spatial CIMIS. [2010-11-05]

[3]http://wwwcimis.water.ca.gov/cimis/cimiSatOverview.jspDoorenbos J, Pruitt W O. 1977. Guidelines for predictingcrop water requirements. In: FAO Irrigation andDrainage Paper 24. United Nations-Food andAgriculture Organization, Rome. p. 144.

[4]Dogrul E C, Kadir T N, Chung F I. 2011. Root zone moisturerouting and water demand calculations in the contextof integrated hydrology. Journal of Irrigation andDrainage Engineering, 137, 363.

[5]Gabriel K R, Neumann J. 1962. A markov chain model fordaily rainfall occurrence at Tel Aviv. Quarterly Journalof the Royal Meteorological Society, 88, 90-95

[6]Geng S, Penning de Vries F W T, Supit I. 1986. A simplemethod for generating daily rainfall data. Agriculturaland Forest Meteorology, 36, 363-376

[7]Hargreaves G H, Samani Z A. 1982. Estimating potentialevapotranspiration. Journal of Irrigation and DrainageEngineering, 108, 225-230

[8]Hargreaves G H, Samani Z A. 1985. Reference cropevapotranspiration from temperature. AppliedEngineering in Agriculture, 1, 96-99

[9]Hart Q J, Brugnach M, Temesgen B, Rueda C, Ustin S L,Frame K. 2009. Daily reference evapotranspiration forCalifornia using satellite imagery and weather stationmeasurement interpolation. Civil Engineering andEnvironmental Systems, 26, 19-33

[10]Larsen G A, Pense R B. 1982. Stochastic simulation of daily climatedata for agronomic models. Agronomy Journal, 74, 510-514

[11]Monteith J L. 1965. Evaporation and environment. In: 19thSymposia of the Society for Experimental Biology.University Press, Cambridge. pp. 205-234

[12]Monteith J L, Unsworth M H. 1990. Principles ofEnvironmental Physics. 2nd ed. Edward Arnold, London.Orang M N, Matyac S, Snyder R L. 2008. Survey of irrigationmethods in California in 2001. ASCE Journal ofIrrigation and Drainage Engineering, 134, 96-100

[13]PRISM Group. 2011. Monthly PRISM Climate Data. [2011-11-05] http://prism.oregonstate.eduRichardson C W, Wright D A. 1984. WGEN: a Model forGenerations Daily Weather Variables. USDA-ARS-8,Springfield, VA

[14]Snyder R L, Geng S, Orang M, Sarreshteh S. 2012. Calculationand simulation of evapotranspiration of applied water.Journal of Integrative Agriculture, 11, 489-501

[15]Snyder R L, Plas M A, Grieshop J I. 1996. Irrigation methodsused in California: grower survey. Journal of Irrigationand Drainage Engineering, 122, 259-262

[16]Snyder R L, Bali K, Ventura F, Gomez-MacPherson H. 2000.Estimating evaporation from bare or nearly bare soil. Journalof Irrigation and Drainage Engineering, 126, 399-403

[17]Snyder R L, Pruitt W O. 1992. Evapotranspiration datamanagement in California. In: Irrigation and DrainageSession Proceedings Water Forum 1992. Baltimore,MD, USA. pp. 128-133

[18]Stewart J I. 1975. Irrigation in California: A report to the StateWater Resources Control Board. Standard AgreementNo. 2-2-65 University of California and the CaliforniaWater Resources Control Board, Sacramento, CA.Stern R D. 1980. The calculation of probability distributionfor models of daily precipitation. In: Archiv fürMeteorologie, Geophysik und Bioklimatologie (SerieB). vol. 28. Spring-Verlag, New York. pp. 137-147

[19]Stroosnijder L. 1987. Soil evaporation: test of a practicalapproach under semi-arid conditions. NetherlandsJournal of Agricultural Science, 35, 417-426

[20]SSURGO. 2011. Soil Survey Geographic (SSURGO)Database. USDA NRCS. [2010-05-06] http://soils.usda.gov/survey/geography/ssurgo/Tindula G N, Orang M N, Snyder R L. 2013. Survey ofirrigation methods in California in 2010. ASCE Journalof Irrigation and Drainage Engineering, 139, 233-238

[21]Ventura F, Snyder R L, Bali K M. 2006. Estimating evaporationfrom bare soil using soil moisture data. Journal ofIrrigation and Drainage Engineering, 132, 153-158.
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