Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009

The earthquake cloud model has invited based on Zhonghao Shou researches at year 2004. His earthquake predictions for USGS office from 1994 to 2003 have confirmed that application of this model with P>72%. While, in our country has not exhibited scientific assessment of this model since present....

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Main Authors: Mohammadreza Mansouri Daneshvar, Aliasghar Barhaman, Parviz Mansouri Daneshvar
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2012-09-01
Series:مخاطرات محیط طبیعی
Subjects:
Online Access:https://jneh.usb.ac.ir/article_2444_a5372276298c8528044b47a3f5c6175d.pdf
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author Mohammadreza Mansouri Daneshvar
Aliasghar Barhaman
Parviz Mansouri Daneshvar
author_facet Mohammadreza Mansouri Daneshvar
Aliasghar Barhaman
Parviz Mansouri Daneshvar
author_sort Mohammadreza Mansouri Daneshvar
collection DOAJ
description The earthquake cloud model has invited based on Zhonghao Shou researches at year 2004. His earthquake predictions for USGS office from 1994 to 2003 have confirmed that application of this model with P>72%. While, in our country has not exhibited scientific assessment of this model since present. The main aim of this paper is the evaluation of earthquake cloud model to predicting frequencies of earthquake events at the limited time period. For this purpose has determined the earthquake frequencies with M≥2.5 Richter at Iran.  For the compilation of database were used two references: meteorological satellite images with a half-hour time series and seismological bulletin of occurred earthquakes catalogue for months October to December 2009. Firstly were determined the earthquake clouds on meteorological satellite images for distinguished time period. Then earthquake clouds have geo-referenced in networking map of Iran using GIS with pixels 2×°2° in WGS coordinate system. Finally the correlation ratio between adapted of occurred earthquakes in the corresponding pixels with the density of earthquake clouds was showed significant rate R=0.837 and R2=0.7. Also the findings of this paper showed that the earthquake cloud model has the ability to forecasting 69% of all earthquakes in Iran with M≥2.5 Richter.
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spelling doaj.art-9e6df5e5776a48e08c075d087863bba02023-06-13T19:41:59ZfasUniversity of Sistan and Baluchestanمخاطرات محیط طبیعی2676-43772676-43852012-09-011111112610.22111/jneh.2012.24442444Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009Mohammadreza Mansouri Daneshvar0Aliasghar Barhaman1Parviz Mansouri Daneshvar2دانشجوی دکترای اقلیم شناسی در برنامه ریزی محیطی، دانشگاه سیستان و بلوچستان، زاهدان، ایرانکارشناسی ارشد مدیریت اجرایی، مرکز آموزش مدیریت استان خراسان رضوی، ایران3دانشجوی دکترای زمین شناسی (رسوب شناسی)، گروه زمین شناسی، دانشگاه فردوسی مشهد، ایرانThe earthquake cloud model has invited based on Zhonghao Shou researches at year 2004. His earthquake predictions for USGS office from 1994 to 2003 have confirmed that application of this model with P>72%. While, in our country has not exhibited scientific assessment of this model since present. The main aim of this paper is the evaluation of earthquake cloud model to predicting frequencies of earthquake events at the limited time period. For this purpose has determined the earthquake frequencies with M≥2.5 Richter at Iran.  For the compilation of database were used two references: meteorological satellite images with a half-hour time series and seismological bulletin of occurred earthquakes catalogue for months October to December 2009. Firstly were determined the earthquake clouds on meteorological satellite images for distinguished time period. Then earthquake clouds have geo-referenced in networking map of Iran using GIS with pixels 2×°2° in WGS coordinate system. Finally the correlation ratio between adapted of occurred earthquakes in the corresponding pixels with the density of earthquake clouds was showed significant rate R=0.837 and R2=0.7. Also the findings of this paper showed that the earthquake cloud model has the ability to forecasting 69% of all earthquakes in Iran with M≥2.5 Richter.https://jneh.usb.ac.ir/article_2444_a5372276298c8528044b47a3f5c6175d.pdfearthquake cloudprediction/ forecastsatellite imagesgiscorrelation rati
spellingShingle Mohammadreza Mansouri Daneshvar
Aliasghar Barhaman
Parviz Mansouri Daneshvar
Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009
مخاطرات محیط طبیعی
earthquake cloud
prediction/ forecast
satellite images
gis
correlation rati
title Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009
title_full Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009
title_fullStr Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009
title_full_unstemmed Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009
title_short Evaluation of Earthquake Cloud Model By Estimating Correlation Coefficient Between Earthquake Events and Theirs Predictions in Iran at The Fourth Quarter of 2009
title_sort evaluation of earthquake cloud model by estimating correlation coefficient between earthquake events and theirs predictions in iran at the fourth quarter of 2009
topic earthquake cloud
prediction/ forecast
satellite images
gis
correlation rati
url https://jneh.usb.ac.ir/article_2444_a5372276298c8528044b47a3f5c6175d.pdf
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AT aliasgharbarhaman evaluationofearthquakecloudmodelbyestimatingcorrelationcoefficientbetweenearthquakeeventsandtheirspredictionsiniranatthefourthquarterof2009
AT parvizmansouridaneshvar evaluationofearthquakecloudmodelbyestimatingcorrelationcoefficientbetweenearthquakeeventsandtheirspredictionsiniranatthefourthquarterof2009