EFFECTS OF CLIMATIC FACTORS ON ACCURACY OF ANN-BASED DROUGHT PREDICTION IN YAZD AREA

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.

AFKHAMI H.; DASTORANI M.T.; MALEKINEJAD H.; MOBIN M.H.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Science Year:2010 | Volume:14 | Issue:51 Page(s): 157-169

Download Full-Text

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

Persian Verion

View:

697

Download:

Cites:

Information Journal Paper

Title

EFFECTS OF CLIMATIC FACTORS ON ACCURACY OF ANN-BASED DROUGHT PREDICTION IN YAZD AREA

Author(s)

AFKHAMI H. | DASTORANI M.T. | MALEKINEJAD H. | MOBIN M.H. | Issue Writer Certificate

Keywords

PREDICTIONQ3

DROUGHTQ2

ARTIFICIAL NEURAL NETWORKSQ3

PRECIPITATION MOVING AVERAGEQ2

SIMULATIONQ2

YAZDQ2

Abstract

Drought is a natural feature of the climate condition, and its recurrence is inevitable. The main purpose of this research is to evaluate the effects of climatic factors on PREDICTION of DROUGHT in different areas of YAZD based on ARTIFICIAL NEURAL NETWORKS technique. In most of the meteorological stations located in YAZD area, precipitation is the only measured factor while generally in synoptic meteorological stations in addition to precipitation some other variables including maximum and mean temperature, relative humidity, wind speed, dominant wind direction and the amount of evaporation are also available. In this research it was tried to evaluate the role of the type and number of meteorological factor (as inputs of ANN model) on accuracy of ANN based DROUGHT PREDICTION. Research area is a part of YAZD province containing only one synoptic and 13 non-synoptic meteorological stations. Three-year moving average of monthly precipitation was the main input of the models in all stations. The type of ANN used in this study was time lag recurrent network (TLRN), a dynamic architecture which was selected by evaluation of different types of ANN in this research. What was predicted is the three-year moving average of monthly precipitation of the next year, which is the main factor to evaluate DROUGHT condition one year before it occurs. For the YAZD synoptic meteorological station, several combinations of input variables was evaluated and tested to find the most relevant type of input variables for PREDICTION of DROUGHT. However, for other 13 stations precipitation data was the only variable to use in ANN models for this purpose. Results in all stations were satisfactory, even where only one input (precipitation) was used to the models, although the level PREDICTION accuracy was different from station to station. Result taken from this research, indicates high flexibility of ANN to cope with poor data condition where it is difficult to get acceptable results by most of the methods.

Cites

ASSESSMENT OF NARX NEURAL NETWORK IN PREDICTION OF DAILY PRECIPITATION IN KERMAN PROVINCE

References

No record.

Cite

APA: Copy

AFKHAMI, H., DASTORANI, M.T., MALEKINEJAD, H., & MOBIN, M.H.. (2010). EFFECTS OF CLIMATIC FACTORS ON ACCURACY OF ANN-BASED DROUGHT PREDICTION IN YAZD AREA. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 14(51), 157-169. SID. https://sid.ir/paper/14877/en

Vancouver: Copy

AFKHAMI H., DASTORANI M.T., MALEKINEJAD H., MOBIN M.H.. EFFECTS OF CLIMATIC FACTORS ON ACCURACY OF ANN-BASED DROUGHT PREDICTION IN YAZD AREA. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2010;14(51):157-169. Available from: https://sid.ir/paper/14877/en

IEEE: Copy

H. AFKHAMI, M.T. DASTORANI, H. MALEKINEJAD, and M.H. MOBIN, “EFFECTS OF CLIMATIC FACTORS ON ACCURACY OF ANN-BASED DROUGHT PREDICTION IN YAZD AREA,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 14, no. 51, pp. 157–169, 2010, [Online]. Available: https://sid.ir/paper/14877/en

Related Journal Papers