University of Oulu

Diani, K., Kacimi, I., Zemzami, M., Tabyaoui, H., Haghighi, A. (2019) Evaluation of meteorological drought using the Standardized Precipitation Index (SPI) in the High Ziz River basin, Morocco. Limnological Review, 19 (3), 125-135. doi:10.2478/limre-2019-0011

Evaluation of meteorological drought using the Standardized Precipitation Index (SPI) in the High Ziz River basin, Morocco

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Author: Diani, Khadija1; Kacimi, Ilias1; Zemzami, Mahmoud2;
Organizations: 1LGEE Laboratory, Department of Earth Sciences, Faculty of Sciences, Mohammed V-Agdal University, Rabat, Morocco
2Ministry Delegate to the Minister of Energy, Mines, Water and Environment, in charge of water, Rabat, Morocco
3Natural Resources and Environment Laboratory, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdullah University, Fez, Morocco
4Water, Energy and Environmental Engineering Research Unit, University of Oulu, PO Box 4300, FIN-90014, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 15.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019121948895
Language: English
Published: De Gruyter, 2019
Publish Date: 2019-12-19
Description:

Abstract

One of the adverse impacts of climate change is drought, and the complex nature of droughts makes them one of the most important climate hazards. Drought indices are generally used as a tool for monitoring changes in meteorological, hydrological, agricultural and economic conditions. In this study, we focused on meteorological drought events in the High Ziz river Basin, central High Atlas, Morocco. The application of drought index analysis is useful for drought assessment and to consider methods of adaptation and mitigation to deal with climate change. In order to analyze drought in the study area, we used two different approaches for addressing the change in climate and particularly in precipitation, i) to assess the climate variability and change over the year, and ii) to assess the change within the year timescale (monthly, seasonally and annually) from 1971 to 2017. In first approach, precipitation data were used in a long time scale e.g. annual and more than one-year period. For this purpose, the Standardized Precipitation Index (SPI) was considered to quantify the rainfall deficit for multiple timescales. For the second approach, trend analysis (using the Mann-Kendall (M-K) test) was applied to precipitation in different time scales within the year. The results showed that the study area has no significant trend in annual rainfall, but in terms of seasonal rainfall, the magnitude of rainfall during summer revealed a positive significant trend in three stations. A significant negative and positive trend in monthly rainfall was observed only in April and August, respectively.

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Series: Limnological Review
ISSN: 1642-5952
ISSN-E: 2300-7575
ISSN-L: 1642-5952
Volume: 19
Issue: 3
Pages: 125 - 135
DOI: 10.2478/limre-2019-0011
OADOI: https://oadoi.org/10.2478/limre-2019-0011
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
Subjects:
Copyright information: © 2019. This article is licensed under Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0).
  https://creativecommons.org/licenses/by-nc-nd/3.0/