EVALUATING FUZZY INFERENCE SYSTEMS FOR ESTIMATING HOURLY REFERENCE EVAPOTRANSPIRATION (CASE STUDY: FARIMAN)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MORADI H.; TAMANA M.; ANSARI H.; NADERIANFAR M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Water and Soil Conservation Year:2012 | Volume:19 | Issue:1 Page(s): 153-168

Download Full-Text

Persian Verion

View:

676

Download:

Cites:

Information Journal Paper

Title

EVALUATING FUZZY INFERENCE SYSTEMS FOR ESTIMATING HOURLY REFERENCE EVAPOTRANSPIRATION (CASE STUDY: FARIMAN)

Author(s)

MORADI H. | TAMANA M. | ANSARI H. | NADERIANFAR M. | Issue Writer Certificate

Keywords

FUZZY INFERENCE SYSTEMQ2

HOURLY EVAPOTRANSPIRATIONQ2

ASCE MODELQ2

PENMAN-MONTIETH-FAO56 MODELQ2

Abstract

The most important component of the hydrologic cycle, which plays a key role in water resource management, crop yield simulation, and irrigation scheduling is evapotranspiration. Therefore, developing a low cost and precise model is very essential for hourly ETo calculations. Although, there are numerous empirical formulas, due to the complicated nature of the HOURLY EVAPOTRANSPIRATION event, the data availability, high cost, and data gathering error, their performances are not all satisfactory. Thereafter, this paper develops an hourly ETo estimation model based on FUZZY INFERENCE SYSTEM (FIS) technique. After analyzing the different models and different combinations of hourly meteorological data, hourly reference evapotranspiration calculated with four fuzzy models. PENMAN-MONTIETH-FAO56 MODEL considered as the comparison basis for hourly estimating reference evapotranspiration models. Comparing models was done with mean root squared error, mean deviation error, coefficient of determination, Jacovides (t) and Sabagh, et al (R2/t) criteria. The Required data gathered from the private weather station in Fariman city. With removing missing data, 9128 hourly data extracted from two-year statistical period, 2008-2009. Meanwhile, 70 percent of the data was used for model training, and 30 percent for model testing. The results showed that, fuzzy model output is acceptable in relation to Penman-Montieth-FAO56 and ASCE MODELs output. The fuzzy model with four inputs has the highest correlation (0.99) to reference model. The fuzzy model with two inputs: solar radiation and relative humidity, presented proper values for evaluation criteria (RMSE=0.048, MBE=-0.018, R2=0.97, t=32, and R2/t=0.0295) in training phase. Under the testing phase, results were very similar to training phase. The comparison of Fuzzy model outputs with ASCE MODELs also indicated that fuzzy model with three inputs of radiation, relative humidity, and temperature has the highest matching value (RMSE=0.05, MBE=-0.014, R2=0.95, t=13.9 and R2/t=0.068), in the training phase, which was justified with testing results. According to this study, fuzzy model can be a proper method for estimating hourly reference evapotranspiration. While, fuzzy model is simple, accurate, and does not have complex calculations like hybrid models.

Cites

No record.

References

No record.

Cite

APA: Copy

MORADI, H., TAMANA, M., ANSARI, H., & NADERIANFAR, M.. (2012). EVALUATING FUZZY INFERENCE SYSTEMS FOR ESTIMATING HOURLY REFERENCE EVAPOTRANSPIRATION (CASE STUDY: FARIMAN). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 19(1), 153-168. SID. https://sid.ir/paper/156082/en

Vancouver: Copy

MORADI H., TAMANA M., ANSARI H., NADERIANFAR M.. EVALUATING FUZZY INFERENCE SYSTEMS FOR ESTIMATING HOURLY REFERENCE EVAPOTRANSPIRATION (CASE STUDY: FARIMAN). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2012;19(1):153-168. Available from: https://sid.ir/paper/156082/en

IEEE: Copy

H. MORADI, M. TAMANA, H. ANSARI, and M. NADERIANFAR, “EVALUATING FUZZY INFERENCE SYSTEMS FOR ESTIMATING HOURLY REFERENCE EVAPOTRANSPIRATION (CASE STUDY: FARIMAN),” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 19, no. 1, pp. 153–168, 2012, [Online]. Available: https://sid.ir/paper/156082/en

Related Journal Papers