Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models

The development of data-driven models in conjunction with the advances in technologies regarded as remote sensing in generating recorded data from satellites has guided water management studies towards using these technologies, especially in the regions dealing with drought, like the Lake Urmia basi...

Full description

Bibliographic Details
Published in:Tarım Bilimleri Dergisi
Main Authors: SHAKER SUREH, Fatemeh, SATTARİ, Mohammad Taghi, ROSTAMZADEH, Hashem, KAHYA, Ercan
Format: Article in Journal/Newspaper
Language:English
Published: Ankara Üniversitesi 2022
Subjects:
Soi
Online Access:https://dergipark.org.tr/tr/pub/ankutbd/issue/82623/1067486
https://doi.org/10.15832/ankutbd.1067486
id ftdergipark2ojs:oai:dergipark.org.tr:article/1067486
record_format openpolar
spelling ftdergipark2ojs:oai:dergipark.org.tr:article/1067486 2024-02-04T10:02:52+01:00 Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models SHAKER SUREH, Fatemeh SATTARİ, Mohammad Taghi ROSTAMZADEH, Hashem KAHYA, Ercan 2022-02-03 application/pdf https://dergipark.org.tr/tr/pub/ankutbd/issue/82623/1067486 https://doi.org/10.15832/ankutbd.1067486 eng eng Ankara Üniversitesi Ankara University https://dergipark.org.tr/tr/download/article-file/2229914 https://dergipark.org.tr/tr/pub/ankutbd/issue/82623/1067486 doi:10.15832/ankutbd.1067486 Volume: 30, Issue: 1 61-78 1300-7580 2148-9297 Journal of Agricultural Sciences Tarım Bilimleri Dergisi SPEI;The Urmia Lake basin;M5 Tree Model;Associate Rules;Iran Engineering Mühendislik info:eu-repo/semantics/article 2022 ftdergipark2ojs https://doi.org/10.15832/ankutbd.1067486 2024-01-11T18:10:39Z The development of data-driven models in conjunction with the advances in technologies regarded as remote sensing in generating recorded data from satellites has guided water management studies towards using these technologies, especially in the regions dealing with drought, like the Lake Urmia basin, Iran. In this basin, the agricultural sector has been exposed to dryness due to a decrease in rainfall and uncontrolled water consumption. In the last decade, many studies have tried to brighten this arena of water knowledge. However, the relationship between meteorological variables and atmospheric circulation with the meteorological drought of Lake Urmia had never been determined. The relationship between meteorological variables and atmospheric circulation with Lake Urmia's meteorological drought has been determined. This study calculated Standardized Precipitation Evapotranspiration Index (SPEI) values based on meteorological variables. Then a combination of the meteorological variables and atmospheric circulation values was considered a data mining model input for estimating the droughts. The series of the SPEI values for 3-, 6-, 9-, 12-, 24-, and 48-month time scales were obtained during 1988-2016. In this study, both the M5 Tree model and Associate Rules were used to predict and analyze the meteorological drought at six synoptic stations in the basin, considering both the atmospheric circulations (North Atlantic Oscillation (NAO), Southern Oscillation Index (SOI), Mediterranean Oscillation Index of Gibraltar-Israel (Mogi), Mediterranean Oscillation Index of Algiers-Cairo (MOac), Western Mediterranean Oscillation Index (WEMO), Mediterranean, Red, Black, Caspian, and Persian Gulf SSTs) and the meteorological variables (lagged relative humidity, evapotranspiration, average temperature, minimum-maximum temperature, and pressure). The results showed that using a combination of the atmospheric circulation indices and meteorological variables in the models increases the model's accuracy and ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation DergiPark Akademik (E-Journals) Soi ENVELOPE(30.704,30.704,66.481,66.481) Tarım Bilimleri Dergisi
institution Open Polar
collection DergiPark Akademik (E-Journals)
op_collection_id ftdergipark2ojs
language English
topic SPEI;The Urmia Lake basin;M5 Tree Model;Associate Rules;Iran
Engineering
Mühendislik
spellingShingle SPEI;The Urmia Lake basin;M5 Tree Model;Associate Rules;Iran
Engineering
Mühendislik
SHAKER SUREH, Fatemeh
SATTARİ, Mohammad Taghi
ROSTAMZADEH, Hashem
KAHYA, Ercan
Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models
topic_facet SPEI;The Urmia Lake basin;M5 Tree Model;Associate Rules;Iran
Engineering
Mühendislik
description The development of data-driven models in conjunction with the advances in technologies regarded as remote sensing in generating recorded data from satellites has guided water management studies towards using these technologies, especially in the regions dealing with drought, like the Lake Urmia basin, Iran. In this basin, the agricultural sector has been exposed to dryness due to a decrease in rainfall and uncontrolled water consumption. In the last decade, many studies have tried to brighten this arena of water knowledge. However, the relationship between meteorological variables and atmospheric circulation with the meteorological drought of Lake Urmia had never been determined. The relationship between meteorological variables and atmospheric circulation with Lake Urmia's meteorological drought has been determined. This study calculated Standardized Precipitation Evapotranspiration Index (SPEI) values based on meteorological variables. Then a combination of the meteorological variables and atmospheric circulation values was considered a data mining model input for estimating the droughts. The series of the SPEI values for 3-, 6-, 9-, 12-, 24-, and 48-month time scales were obtained during 1988-2016. In this study, both the M5 Tree model and Associate Rules were used to predict and analyze the meteorological drought at six synoptic stations in the basin, considering both the atmospheric circulations (North Atlantic Oscillation (NAO), Southern Oscillation Index (SOI), Mediterranean Oscillation Index of Gibraltar-Israel (Mogi), Mediterranean Oscillation Index of Algiers-Cairo (MOac), Western Mediterranean Oscillation Index (WEMO), Mediterranean, Red, Black, Caspian, and Persian Gulf SSTs) and the meteorological variables (lagged relative humidity, evapotranspiration, average temperature, minimum-maximum temperature, and pressure). The results showed that using a combination of the atmospheric circulation indices and meteorological variables in the models increases the model's accuracy and ...
format Article in Journal/Newspaper
author SHAKER SUREH, Fatemeh
SATTARİ, Mohammad Taghi
ROSTAMZADEH, Hashem
KAHYA, Ercan
author_facet SHAKER SUREH, Fatemeh
SATTARİ, Mohammad Taghi
ROSTAMZADEH, Hashem
KAHYA, Ercan
author_sort SHAKER SUREH, Fatemeh
title Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models
title_short Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models
title_full Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models
title_fullStr Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models
title_full_unstemmed Meteorological Drought Assessment and Prediction in Association with Combination of Atmospheric Circulations and Meteorological Parameters via Rule Based Models
title_sort meteorological drought assessment and prediction in association with combination of atmospheric circulations and meteorological parameters via rule based models
publisher Ankara Üniversitesi
publishDate 2022
url https://dergipark.org.tr/tr/pub/ankutbd/issue/82623/1067486
https://doi.org/10.15832/ankutbd.1067486
long_lat ENVELOPE(30.704,30.704,66.481,66.481)
geographic Soi
geographic_facet Soi
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Volume: 30, Issue: 1 61-78
1300-7580
2148-9297
Journal of Agricultural Sciences
Tarım Bilimleri Dergisi
op_relation https://dergipark.org.tr/tr/download/article-file/2229914
https://dergipark.org.tr/tr/pub/ankutbd/issue/82623/1067486
doi:10.15832/ankutbd.1067486
op_doi https://doi.org/10.15832/ankutbd.1067486
container_title Tarım Bilimleri Dergisi
_version_ 1789969870519009280