Application of different cases of Hargreaves-Samani and Jensen-Haise methods for estimating Alfalfa Reference crop evapotranspiration in Isfahan

Subject Areas : Agroecology Journal

Payam Najafi ¹

1 -

Received: 2006-12-06 Accepted : 2007-01-01 Published : 2007-01-21

Keywords: alfalfa, reference crop evapotranspiranspiration, Hargreaves-Samani, Jensen-Haise, extraterrestrial radiation, Hargreaves-Samani coefficient,

Abstract :

Estimating rate of actual evapotranspiration is very important for designing of the irrigation systems, storage construction and water conveyance structures. Many methods have been developed for estimating reference crop evapotranspiration. Amount of these methods are need different climatic parameters but providing all of the data those are necessary for ET0 is not always available and if have been provided, these data may be is not completely correct. Therefore some methods have developed to estimating ET0 with minimum data such as Hargreaves-Samani and Jensen-Haise methods. In this research, eight cases of these methods have been compared. These comparisons were made on the basis alfalfa lysimeter data from Kabotarabud, Isfahan. The results show that through of these cases, which were used Samani-Pessarakly equation for calculating Extraterrestrial Radiation, were estimating ET0 better than the others with 15 Percent Average Maximum Absolute Relative Error (MARE). In addition, these above mention cases were had higher correlation coefficient as compare to other cases, so with improved the main equations with linear regression, MARE were decreased until 9 Percent. Finally, as compared the two methods of calculating the HargreavesœSamani coefficient, Kt, the results showed that there was no considerable different between Allen's equation and Samani-Pessarakly's equation.

References:

1-     بارچاریا، گ. ک. و  ر. جانسون. 1366. مفاهیم و روشهای ‌آماری، جلد دوم. ترجمه مرتضی ابن شهر ‌آشوب، فتاح میکائیلی. انتشارات مرکز نشر دانشگاهی، تهران.

2-     خواجه زاده، غ. 1374. اصلاح معادله های بلانی-کریدل و هارگریوز- سامانی برای مناطق مختلف ایران. پایان نامه کارشناسی ارشد مهندسی آبیاری و زهکشی، دانشگاه شیراز.

3-     عقدایی، م. 1368. تعیین آب مصرفی گیاه یونجه به روش لایسیمتری. گزارش پژوهشی بخش تحقیقات خاک و آب سازمان تحقیقات کشاورزی استان اصفهان.

4-     عقدایی، م. 1372. تعیین آب مصرفی گیاه یونجه به روش لایسیمتری. گزارش پژوهشی بخش تحقیقات خاک و آب سازمان تحقیقات کشاورزی استان اصفهان.

5-     عقدایی، م. 1373. تعیین آب مصرفی گیاه یونجه به روش لایسیمتری. گزارش پژوهشی بخش تحقیقات خاک و آب سازمان تحقیقات کشاورزی استان اصفهان.

6-     عقدایی، م. 1374. تعیین آب مصرفی گیاه یونجه به روش لایسیمتری. گزارش پژوهشی بخش تحقیقات خاک و آب سازمان تحقیقات کشاورزی استان اصفهان.

7-      Allen, R.G. 1996. Assessing intergrity of data for reference evaportranspiration estimation. Journal of Irrigation and Drainage  Engineering ., Dir., ASCE. Vol 122, NO. 2, 97-106

8-      Burman, R. and L. O. Pochop. 1994. Evaporation, Evapotranspiration  and climatic data. Elsever Sicence B. V.pp., 278.

9-      Doorenbos J. and W.O. Pruitt. 1977. Crop water requirements. Irrig and Drain., Paper No 24, FAO., Rome, Italy . pp. 248.

10-   Hargreaves G. H., and Z. A. Samani. 1982. Estimating potential evapotranspiration. Journal of the Irrigation and Drainage Divion, Proceedings of the American Society of Civil Engineere, ASCE, Vol. 108, No. IR3, pp. 223-230.

11-  Hargreaves G. H., and Z. A. Samani. 1985.  Reference crop evapotranspiration from temperation”. Transactions of the  ASAE., Vol . 28, No. 2., 96-99.

12-   Jacovides C. P. and H. Kontoyiannis. 1995. Statistical procedures for the evaluation of evapotranspiration computing models. Agric. Water Manage. 27, 365–371.

13-  Kotsopoulos S. and C. Babajimopoulos. 1997. Analytical estimation of penman eqation parameter. Journal of Irrigation and Drainage Engineering., Dir., ASCE. Vol 123, NO. 4,253-256.

14-   Samani Z.A. and M.Pessarakli. 1986. Estimating potential crop   evapotranspiration with minimum data in Arizana. Transactions of  the ASAE., Vol. 29, No. 2., 552-524.

15-   Samani Z. 2000. Estimating solar radiation and evapotranspiration using minimum climatological data. J. Irrig. And Drain. Eng. ASCE, Vol. 126, No. 4, 265-267.