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Tytuł pozycji:

SPEI-Based Approach to Agricultural Drought Monitoring in Vojvodina Region

Tytuł :
SPEI-Based Approach to Agricultural Drought Monitoring in Vojvodina Region
Autorzy :
Jovana Bezdan
Atila Bezdan
Boško Blagojević
Minučer Mesaroš
Borivoj Pejić
Milica Vranešević
Dragoslav Pavić
Emilija Nikolić-Đorić
Pokaż więcej
Temat :
drought
agriculture
crop
SPEI
AHP
drought index
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Źródło :
Water, Vol 11, Iss 7, p 1481 (2019)
Wydawca :
MDPI AG, 2019.
Rok publikacji :
2019
Typ dokumentu :
article
Opis pliku :
electronic resource
Język :
English
ISSN :
2073-4441
Relacje :
https://www.mdpi.com/2073-4441/11/7/1481; https://doaj.org/toc/2073-4441
DOI :
10.3390/w11071481
Dostęp URL :
https://doaj.org/article/d5975448748244e69c1002bc05d3633a
Numer akcesji :
edsdoj.5975448748244e69c1002bc05d3633a
Czasopismo naukowe
This paper presents the standardized precipitation evapotranspiration index (SPEI)-based approach to agricultural drought monitoring (ADM-SPEI approach) combining well-known methods, expert’ critical opinions, and local agro-climatic specificities. The proposed approach has been described in detail in three phases. This allows its application in any region and modification according to different agro-climatic conditions. The application of the ADM-SPEI approach has resulted in obtaining a modified SPEI for different crops (agricultural drought SPEI (AD-SPEIcrop)) in the Vojvodina region. In the first phase of the proposed approach, analytical hierarchy process (AHP) was used to obtain an experts’ group decision regarding the most suitable method for calculating evapotranspiration for a particular analyzed region. In the second phase, SPEI was modified and adjusted to the conditions in Vojvodina, where ET0 was replaced by ETc. In the validation phase, the results of the application of AD-SPEIcrop were compared to crop yields and well-known indices and evaluated by the experts’ feedback. The statistically significant correlations were achieved between AD-SPEIcrop and crop yields. The highest correlations were achieved in the months when the analyzed crops were in the developmental stages when they are most sensitive to drought. The AD-SPEIcrop better correlates to the crop yields compared to SPEI. The comparison of AD-SPEIcrop to the standardized precipitation index (SPI), SPEI, and self-calibrated Palmer drought severity index (SC-PDSI) shows that it can successfully detect dry and wet periods. The results have indicated that the proposed approach can be successfully applied, and AD-SPEIcrop has shown a good performance for agricultural drought monitoring.

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