Abroshan, R. (2018) The Study of Dependence of Pan Evaporation on Meteorological Variables in Different time Scales and Comparison of Empirical and Artificial Intelligence (Case study: Fars province). Masters thesis, university of zabol.
|
Text
The Study of Dependence of Pan Evaporation on Meteorological.pdf Download (55kB) | Preview |
Abstract
Evaporation is an important component in meteorology, hydrology and agricultural activities and is related to the other meteorological and climatic variables. The evaporation measured by evaporation pans show evaporative potential of the atmosphere. In this research the effect of different daily and monthly meteorological and climatic variables on evaporation were studied. Furthermore, evaporation was calculated by both empirical methods such as Meyer, Hefner, Marciano and Shahtin and Artificial Intelligence methods (ANN+COA, ANFIS+COA). The meteorological variables included in this study were saturation deficit, air temperature, solar radiation, relative humidity and wind speed. The mentioned data were collected from Shiraz, Abadeh, Lar and Fasa synoptic stations. The results of regression analysis show that saturation deficit, air temperature and solar radiation in different time scales are very important factors affecting evaporation. In addition, wind speed affects evaporation in daily time scale. Furthermore, empirical methods and combination algorithms show that Meyer and neuro-fuzzy-cuckoo are in good agreement for the synoptic stations under study in Fars province.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Pan evaporation, ANN, Cuckoo algorithm, meteorological variables, time scale |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering |
| Depositing User: | Mrs najmeh khajeh |
| Date Deposited: | 01 Dec 2018 09:50 |
| Last Modified: | 09 Mar 2019 09:41 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/2307 |
Actions (login required)
 |
View Item |
