Analysis of temporal and spatial rainfall variability over the Wadi Sly basin, Algeria

被引：5

作者：

Achite M. ^{[1
,2
]}

Caloiero T. ^{[3
]}

机构：

[1] Laboratory of Water & Environment, Faculty of Nature and Life Sciences, University Hassiba Benbouali of Chlef, Chlef

[2] National Higher School of Agronomy, ENSA, Hassan Badi 16200, El Harrach, Algiers

[3] National Research Council of Italy, Institute for Agriculture and Forest Systems in the Mediterranean (CNR-ISAFOM), Rende (CS)

来源：

Arabian Journal of Geosciences | 2021年 / 14卷 / 18期

关键词：

Non-parametric test; Rainfall; Trend analysis; Wadi Sly basin;

D O I：

10.1007/s12517-021-08221-w

中图分类号：

学科分类号：

摘要：

Climate variability can be considered the main reason for drought and water scarcity. In this paper, the spatiotemporal variability of rainfall at different timescales (monthly, seasonal and annual) has been evaluated using data from 7 rain gauges well distributed in the Wadi Sly basin, in the northwestern side of Africa (Algeria), in the period 1968–2018. In particular, two non-parametric tests for trend detection have been used to detect the possible trends in rainfall series. Moreover, to identify further trends in the different rainfall values of the series, the innovative trend analysis technique has been applied. Results of the test application on rainfall data showed a marked negative trend in spring and a less clear negative trend at annual scale and in winter. This negative trend mainly involved the south-eastern side of the basin. Conversely, a slight positive trend has been identified in summer and autumn. The seasonal trend behaviour has been confirmed at monthly scale. © 2021, Saudi Society for Geosciences.

引用

共 44 条

[31]

Onyutha C., Identification of sub–trends from hydro–meteorological series, Stoch Env Res Risk A, 30, pp. 189-205, (2016)

[32]

Ragab R., Prudhomme C., Climate change and water resources management in arid and semi–arid regions: prospective and challenges for the 21st Century, Biosyst Eng, 81, pp. 3-34, (2002)

[33]

Sahnoune F., Belhamel M., Zelmat M., Kerbachi R., Climate change in Algeria: vulnerability and strategy of mitigation and adaptation, Energy Procedia, 36, pp. 1286-1294, (2013)

[34]

Schilling J., Freier K.P., Hertig E., Scheffran J., Climate change, vulnerability and adaptation in North Africa with focus on Morocco, Agric Ecosyst Environ, 156, pp. 12-26, (2012)

[35]

Scorzini A.R., Leopardi M., Precipitation and temperature trends over central Italy (Abruzzo Region): 1951–2012, Theor Appl Climatol, 135, pp. 959-977, (2019)

[36]

Sen P.K., Estimates of the regression coefficient based on Kendall’s tau, J Am Stat Assoc, 63, pp. 1379-1389, (1968)

[37]

Sen Z., An innovative trend analysis methodology, J Hydrol Eng, 17, pp. 1042-1046, (2012)

[38]

Sen Z., Trend identification simulation and application, J Hydrol Eng, 19, pp. 635-642, (2014)

[39]

Shohami D., Dayan U., Morin E., Warming and drying of the eastern Mediterranean: additional evidence from trend analysis, J Geophys Res, 116, (2011)

[40]

Tabari H., Willems P., Investigation of Streamflow Variation Using an Innovative Trend Analysis Approach in Northwest Iran. E-Proceedings of the 36Th Iahrworld Congress, (2015)

← 1 2 3 4 5 →