Bameri, Mahmoud (2015) The Estimation of Evaporation Using Linear Regression and Artificial Neural Network in Province of Sistan and Balochestan. Masters thesis, University of zabol.
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Abstract
In today's world of water and water resources, one of the main pillars of sustainable development is considered. Changes affect the quantity and quality of water resources in the basin hydrological activities occur due to limited water resources, prevention is crucial. The results of the two models, ANN and linear regression to estimate the evaporation in Zabol stations, Zahak, Zahedan, Khash, Iranshahr, Chabahar and Saravan is used daily. The best combination of input network for each of the seven stations of the same mean temperature, mean relative humidity, wind speed, sunshine. After the program, the results of statistical analysis to station ANN Zabol, R2 = 0.87, RMSE = 2.55, and MAE = 1.25 Regression analysis of Zabol station R2 = 0.82, RMSE = 2.55, and MAE = 1.25. Zahak station R2 = 0.95, RMSE = 1.2, and MAE = 0.84 Regression analysis of Zahk station R2 = 0.95, RMSE = 2.6, and MAE = 2.46, Zahadan station R2 = 0.68, RMSE = 1.55, and MAE = 1.2 Regression analysis of Zahadan station R2 = 0.68, RMSE = 4.77, and MAE = 4.53, Khash station R2 = 0.45, RMSE = 1.1, and MAE = 0.82 Regression analysis of Khash station R2 = 0.21, RMSE = 3.56, and MAE = 3.18. Iranshahr station R2 = 0.85, RMSE = 1.2, and MAE = 0.82 Regression analysis of Iranshahr station R2 = 0.82, RMSE = 2.71, and MAE = 2.6, Saravan station R2 = 0.75, RMSE = 1.45, and MAE = 1.1 Regression analysis of Saravan station R2 = 0.72, RMSE = 3.1, and MAE = 2.9 and Chabahar station R2 = 0.55, RMSE = 1.66, and MAE = 1.24 Regression analysis of Chabahar station R2 = 0.32, RMSE = 2.33, and MAE = 2.12 .The seven-station results show the better ability of artificial neural network in forecasting is the process of evaporation pan.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Evaporation, Neural network, linear regression, Sistan&Balochstan. |
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography |
| Depositing User: | admin admin1 admin2 |
| Date Deposited: | 13 Jun 2017 08:42 |
| Last Modified: | 14 Jun 2017 05:59 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/1541 |
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