Evaluation of three reference crop water requirements algorithm in north China
- DOI
- 10.2991/eesed-16.2017.67How to use a DOI?
- Keywords
- the reference crop water requirements; Penman-Monteithequation(PT); Hargreaves formula(HA); Priestley Taylor formula(PT)
- Abstract
Penman-Monteith equation is widely used to calculate the reference crop water requirements, which is composed of two parts: the first part is the radiation part and the second part is the aerodynamics item. Penman-Monteith equation requires more meteorological factors compared with the Hargreaves formula and Priestley Taylor formula, but it is still unknown about the calculation accuracy of the Hargreaves formula calculation and the Priestley Taylor formula calculation. This research demonstrates that the Hargreaves formula calculation results and the Priestley Taylor formula calculation results have a linear relationship with the Penman-Monteith formula calculation results, the correlation coefficient are separately 0.9461 and 0.9222, the coincidence degree are 0.97585 and 0.971501. It is helpful to use the Hargreaves formula and the Priestley Taylor formula to calculate the reference crop water requirements in North China instead of the Penman-Monteith equation, and the the Hargreaves formula calculation results have a greater accuracy compared with the Priestley Taylor formula calculation results.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiao-Fei Liu AU - Liang-Jun Fei AU - Ying-Ying Zhang AU - An-Zhen Qin PY - 2016/08 DA - 2016/08 TI - Evaluation of three reference crop water requirements algorithm in north China BT - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016) PB - Atlantis Press SP - 485 EP - 492 SN - 2352-5401 UR - https://doi.org/10.2991/eesed-16.2017.67 DO - 10.2991/eesed-16.2017.67 ID - Liu2016/08 ER -