Drought investigation and trend assessment in Macta watershed (Algeria) by SPI and ITA methodology

被引:31
作者
Elouissi A. [1 ]
Benzater B. [1 ]
Dabanli I. [2 ]
Habi M. [3 ]
Harizia A. [1 ]
Hamimed A. [1 ]
机构
[1] Biological Systems and Geomatics Research Laboratory (LRSBG), Faculty of Natural and Life Sciences, Mustapha Stambouli University of Mascara, Mascara
[2] Civil Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Maslak, Istanbul
[3] Faculté de technologie, Département d’hydraulique, University Abou Bakr Belkaid of Tlemcen, B.P, Tlemcen
关键词
Algeria; Drought; ITA; Macta; SPI; Trend;
D O I
10.1007/s12517-021-07670-7
中图分类号
学科分类号
摘要
In this study, severe and extreme episode (dry and wet) periods were analyzed by the Standardized Precipitation Index (SPI), using 42 weather stations in the Macta watershed (Northwest Algeria) over a period of 42 years (1970–2011). First, short- and medium-term (1, 3, 6, and 9 months) and long-term (12 months) SPIs were calculated, and then their trends were detected using the innovative trend analysis (ITA) method, which identifies trends in low, medium, and high values within series. Results show that in the short and medium term, the 42 studied stations, in the Macta watershed, are gradually subject to meteorological and then agricultural drought, marking a water deficit since 1970, affecting vegetation. On the other hand, and in the long term, this deficit is compensated by severe and extreme wet conditions (a water balance will be established between dry and wet episodes). In anticipation, the ITA shows that, on average, 82% of stations, with severe and extreme dry conditions, underwent a gradual reduction, accompanied by 59% of stations showing a reduction in severe and extreme wet conditions. In the long term, convergence between severe and extreme dry conditions and wet ones has been detected, making the situation towards normal conditions. In addition, the majority of the stations suffer from a severe meteorological drought in the center-East of the basin (drought frequency above 100), whereas on the hydrological scale (SPI-12), the situation is balanced (drought frequency below 50). © 2021, Saudi Society for Geosciences.
引用
收藏
相关论文
共 68 条
[41]  
McKee T.B., Doesken N.J., Kleist J., The relationship of drought frequency and duration to time scales, Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, USA, 17–22 January 1993, pp. 179-184, (1993)
[42]  
Meddi M., Talia A., Martin C., Recent changes in climatic conditions and flows in the Macta watershed (Northwest of Algeria), Physio-Géo, 3, (2009)
[43]  
Mehdaoui R., Mili E., Seghir A., Characterization using the SPI of climate drought in the Ziz watershed (South-East, Morocco). European Scientific Journal July 2018 edition Vol.14, No.21 ISSN: 1857 – 7881 (Print) E - ISSN 1857- 7431, (2018)
[44]  
Mishra A.K., Singh V.P., A review of drought concepts, J Hydrol, 391, 1-2, pp. 202-216, (2010)
[45]  
Nabipour N., Dehghani M., Shamshirband S., Mosavi A., Short-term hydrological drought forecasting based on different nature-inspired optimization algorithms hybridized with artificial neural networks, IEEE Access, 8, pp. 15210-15222, (2019)
[46]  
Pineda L.E., Willems P., Rainfall extremes, weather and climate drivers in complex terrain: a data driven approach based on signal enhancement methods and EV modeling, J Hydrol, 563, 2018, pp. 283-302, (2018)
[47]  
Pettitt A.N., A non-parametric approach to the change-point problem, J Roy Stat Soc C-App, 28, 2, pp. 126-135, (1979)
[48]  
Pohlert T., Trend: Non-parametric trend tests and change-point detection, R Package, version 1.1.4, (2020)
[49]  
R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, (2020)
[50]  
Sabri A.F., Medjerab A., Assessment of the Vulnerability of Algerian Watersheds to the Effects of Climate Change and Formulation of Adaptation Strategies, (2012)