| contributor author | Fatemeh Karimaldini | |
| contributor author | Lee Teang Shui | |
| contributor author | Thamer Ahmed Mohamed | |
| contributor author | Mohammadreza Abdollahi | |
| contributor author | Najmeh Khalili | |
| date accessioned | 2017-05-08T21:52:58Z | |
| date available | 2017-05-08T21:52:58Z | |
| date copyright | January 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29ir%2E1943-4774%2E0000373.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/65241 | |
| description abstract | Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management, especially in the arid and semiarid conditions such as those found in Iran in which water resources are limited. The standard Food and Agricultural Organization of the United Nations (FAO)-56 Penman-Monteith (PM) equation requires several meteorological inputs for estimating reference evapotranspiration ( | |
| publisher | American Society of Civil Engineers | |
| title | Daily Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique | |
| type | Journal Paper | |
| journal volume | 138 | |
| journal issue | 1 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/(ASCE)IR.1943-4774.0000343 | |
| tree | Journal of Irrigation and Drainage Engineering:;2012:;Volume ( 138 ):;issue: 001 | |
| contenttype | Fulltext | |
