FORECASTING AND SENSITIVITY ANALYSIS OF MONTHLY EVAPORATION FROM SIAH BISHEH DAM RESERVOIR USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH GENETIC ALGORITHM

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.

MOHAMMADIAN SHOEILI A.; FATHIAN H.; ASADI LOOR M.

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

Journal Paper

Paper Information

Journal: JOURNAL OF WATER SCIENCES AND ENGINEERING Year:2011 | Volume:1 | Issue:1 Page(s): 59-74

Download Full-Text

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

Persian Verion

View:

1,066

Download:

Cites:

Information Journal Paper

Title

FORECASTING AND SENSITIVITY ANALYSIS OF MONTHLY EVAPORATION FROM SIAH BISHEH DAM RESERVOIR USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH GENETIC ALGORITHM

Author(s)

MOHAMMADIAN SHOEILI A. | FATHIAN H. | ASADI LOOR M. | Issue Writer Certificate

Keywords

FORECASTINGQ2

SENSITIVITY ANALYSISQ2

EVAPORATIONQ2

ARTIFICIAL NEURAL NETWORKSQ2

GENETIC ALGORITHMQ2

SIAH BISHEH DAMQ2

Abstract

Evaporation process, the main component of the water cycle in nature, is essential in agricultural studies, hydrology and meteorology, the operation of reservoirs, irrigation and drainage systems, irrigation scheduling and management of water resources. Various methods have been presented for estimating EVAPORATION from free surface including water budget method, EVAPORATION from pan and experimental equations that each of these methods is coupled with the restriction and measurement error. Early the new technique using ARTIFICIAL NEURAL NETWORKS (ANNs) based on artificial intelligence has been widely used in various scientific fields, particularly water engineering. In this study, the amount of monthly EVAPORATION from the SIAH BISHEH DAM reservoir was forecasted up 3 next month using Multi-Layer Perceptron (MLP), Radial Basis Function (RBF) and Feed Forward (FF), of ANNs. The GENETIC ALGORITHM was used for efficient input variables selection and number of neurons in hidden layer of ANNs. The results showed that the correlation coefficient between measured and computed outputs using RBF, MLP and FF models were 0.92%, 0.90% and 0.88% respectively in the estimation and FORECASTING of EVAPORATION from the dam reservoir. Therefore the RBF model had more precision rather than MLP and FF models in the estimation and FORECASTING of monthly EVAPORATION. The results of SENSITIVITY ANALYSIS showed that the monthly EVAPORATION from the dam reservoir up 3 next month had most sensitivity to the time of EVAPORATION per month, air pressure on ground surface in 2, 3 and 1 months ago, wind speed on 1000mb pressure in 3 and 2 months ago and air temperature on 300mb pressure in current time respectively.

Cites

No record.

References

Cite

APA: Copy

MOHAMMADIAN SHOEILI, A., FATHIAN, H., & ASADI LOOR, M.. (2011). FORECASTING AND SENSITIVITY ANALYSIS OF MONTHLY EVAPORATION FROM SIAH BISHEH DAM RESERVOIR USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH GENETIC ALGORITHM. JOURNAL OF WATER SCIENCES AND ENGINEERING, 1(1), 59-74. SID. https://sid.ir/paper/235544/en

Vancouver: Copy

MOHAMMADIAN SHOEILI A., FATHIAN H., ASADI LOOR M.. FORECASTING AND SENSITIVITY ANALYSIS OF MONTHLY EVAPORATION FROM SIAH BISHEH DAM RESERVOIR USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH GENETIC ALGORITHM. JOURNAL OF WATER SCIENCES AND ENGINEERING[Internet]. 2011;1(1):59-74. Available from: https://sid.ir/paper/235544/en

IEEE: Copy

A. MOHAMMADIAN SHOEILI, H. FATHIAN, and M. ASADI LOOR, “FORECASTING AND SENSITIVITY ANALYSIS OF MONTHLY EVAPORATION FROM SIAH BISHEH DAM RESERVOIR USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH GENETIC ALGORITHM,” JOURNAL OF WATER SCIENCES AND ENGINEERING, vol. 1, no. 1, pp. 59–74, 2011, [Online]. Available: https://sid.ir/paper/235544/en

Related Journal Papers