ANALYSIS OF PRECIPITATION AND TEMPERATURE TREND PREDICTION WITH USING TIME SERIES MODELS (ARIMA) (CASE STUDY: KERMANSHAH TOWNSHIP)

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.

VEISIPOUR H.; MASOMPOUR SAMAKOOSH J.; SAHNEH B.; YUSEFI Y.

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

Journal Paper

Paper Information

Journal: GEOGRAPHY Year:2010 | Volume:4 | Issue:12 Page(s): 63-77

Download Full-Text

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

Persian Verion

View:

4,062

Download:

Cites:

Information Journal Paper

Title

ANALYSIS OF PRECIPITATION AND TEMPERATURE TREND PREDICTION WITH USING TIME SERIES MODELS (ARIMA) (CASE STUDY: KERMANSHAH TOWNSHIP)

Author(s)

VEISIPOUR H. | MASOMPOUR SAMAKOOSH J. | SAHNEH B. | YUSEFI Y. | Issue Writer Certificate

Keywords

RAINFALL PROGNOSISQ2

MAXIMUM TEMPERATUREQ2

ARIMAQ2

KERMANSHAH TOWNSHIPQ2

Abstract

Change in climate is one of the common problems of the present human society and it is considered a threat and a disaster for the world we live in. The study and prognosis of its elements, for schematization of water resources and also for the disaster management is extremely necessary. Therefore prognosis and contemplation of atmospheric descent for every region where the water is in abundance; is considered as one of the important environmental parameters for the optimum use of water resources and that researches in this field are necessary, so that we act rightly in management of water resources and also do a correct forecasting; so that the farmers –in the field of agriculture- and planners – for management of water resources- act successfully and hence do not suffer any irreparable loss on their sides. The main aim of this research is the contemplation of timely changes in temperature and rainfall in the concerned region -with the use of time series model- and forecasting these elements for the oncoming years for proper water management. In this research ARIMA model was analyzed in NCSS and MINTAB software’s for the statistical period from 1950 till 2006 in the said zone and by the comparison of the data for daily, monthly, and yearly proportions of rainfall with the actual amount of rainfall, it was determined that for the prediction of rain on a scale of Ten days; only the previous data for those Ten days should be used and similarly for the prediction of monthly or yearly quantities; the monthly and the yearly data should be taken into consideration. Finally after the analysis of the daily, monthly and seasonal data, it became clear that there will be an increase in the MAXIMUM TEMPERATURE in the oncoming years and the amount of rainfall will decrease.

Cites

References

Cite

APA: Copy

VEISIPOUR, H., MASOMPOUR SAMAKOOSH, J., SAHNEH, B., & YUSEFI, Y.. (2010). ANALYSIS OF PRECIPITATION AND TEMPERATURE TREND PREDICTION WITH USING TIME SERIES MODELS (ARIMA) (CASE STUDY: KERMANSHAH TOWNSHIP). GEOGRAPHY, 4(12), 63-77. SID. https://sid.ir/paper/207999/en

Vancouver: Copy

VEISIPOUR H., MASOMPOUR SAMAKOOSH J., SAHNEH B., YUSEFI Y.. ANALYSIS OF PRECIPITATION AND TEMPERATURE TREND PREDICTION WITH USING TIME SERIES MODELS (ARIMA) (CASE STUDY: KERMANSHAH TOWNSHIP). GEOGRAPHY[Internet]. 2010;4(12):63-77. Available from: https://sid.ir/paper/207999/en

IEEE: Copy

H. VEISIPOUR, J. MASOMPOUR SAMAKOOSH, B. SAHNEH, and Y. YUSEFI, “ANALYSIS OF PRECIPITATION AND TEMPERATURE TREND PREDICTION WITH USING TIME SERIES MODELS (ARIMA) (CASE STUDY: KERMANSHAH TOWNSHIP),” GEOGRAPHY, vol. 4, no. 12, pp. 63–77, 2010, [Online]. Available: https://sid.ir/paper/207999/en

Related Journal Papers