Exploration de l’indicateur standardisé de précipitation à l’aide d’une analyse statistique régionale

Anctil, François; Larouche, William; Viau, Alain A.; Parent, Léon‐Étienne

doi:10.4141/s00-080

Cited by 21 publications

(3 citation statements)

References 15 publications

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“…The L-moments ratios are almost unbiased for most combinations of sample sizes and coefficients of variation (Anctil et al, 2002).…”

Section: L-momentsmentioning

confidence: 95%

“…The L-moments introduced by Hosking (1990) are widely used for fitting distribution functions for regional analysis purposes (Stedinger et al, 1993;Hosking and Wallis, 1997;Anctil et al, 2002;Eslamian and Feizi, 2007;Johnson et al, 2012;Saf, 2009;Nyeko-Ogiramoi et al, 2012;Ellouze and Abida, 2008;Sarhadi and Modarres, 2011;Nezhad et al, 2010;Li et al, 2010;Gholami et al, 2012;Eslamian et al, 2012). Compared to conventional moments, the linearity of L-moments has the advantage of being insensitive to extreme values (Vogel and Fennessey, 1993;Sankarasubramanian and Srinivasan, 1999).…”

Section: L-momentsmentioning

confidence: 99%

“…In this work, the L-moments method (Hosking and Wallis, 1997;Anctil et al, 2002) were used to confirm the homogeneous regions found and to fit the distribution functions for regional analysis. The most suitable frequency model is then selected to calculate flood flow quantiles in these different regions.…”

Section: Introductionmentioning

confidence: 99%

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Application of the L-moments approach to the analysis of regional flood frequency in Northern Algeria

Assani

Toumi

Meddi

2017

IJHST

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Algeria is periodically affected by severe and repeated flooding. Flood hazard studies require the estimation of extreme flood flows. To predict and estimate the characteristics of maximum flows, knowledge of their distribution law is essential. The L-moments method was used to determine homogeneous regions and the appropriate distribution for these regions. Three homogeneous regions were delineated. This technique produced a Pearson type III distribution for the coastal region and the Tell Atlas and a Pareto distribution for the steppe regions and high plateaus of Eastern and Western Algeria. To estimate maximum flow at ungauged sites for different return periods, the 'index-flood' method was used. An empirical formula was developed that uses the average annual maximum flow as a function of catchment area and the average slope of the main channel to estimate maximum flow at any point on the Oued. The coefficient of determination and the Nash criterion, for the three regions, are superiors to 88% and 83% respectively. The root mean squared error, for the three regions, is less than 12%. These values show the robustness of the developed models.

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“…The L-moments ratios are almost unbiased for most combinations of sample sizes and coefficients of variation (Anctil et al, 2002).…”

Section: L-momentsmentioning

confidence: 95%

Section: L-momentsmentioning

confidence: 99%

See 1 more Smart Citation

Application of the L-moments approach to the analysis of regional flood frequency in Northern Algeria

Assani

Toumi

Meddi

2017

IJHST

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The effect of the length of record on the standardized precipitation index calculation

et al. 2005

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The effect of the length of record on the standardized precipitation index (SPI) calculation was investigated by examining correlation coefficients, the index of agreement, and the consistency of dry/wet event categories between SPI values derived from different precipitation record lengths. The effect was also illustrated by comparing SPI values derived from different lengths of record in some severe drought and flood years, and by comparing drought intensities based on SPI values temporally and spatially. Furthermore, the reason for the SPI value discrepancy was explored by investigating the changes of the shape and scale parameters of the gamma distribution when different lengths of record were involved. The gamma distribution is a frequency distribution of climatological precipitation time series and is the basis of the SPI calculation used in this analysis. The results show that SPI values computed from different lengths of record are highly correlated and consistent when the gamma distributions of precipitation over the different time periods are similar. However, the SPI values are significantly discrepant when the distributions are different. It is recommended that the SPI user should be aware of the numerical difference of the SPI values if different lengths of record are used in interpreting and making decisions based on SPI values.

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Analyzing spatial patterns of meteorological drought using standardized precipitation index

Patel

Chopra

Dadhwal

2007

Meteorological Applications

208

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Drought is a slow-onset, creeping natural hazard and a recurrent phenomenon in the arid and semi-arid regions of Gujarat (India). In Asia, the standardized precipitation index (SPI) has gained wider acceptance in the detection and the estimation of the intensity, magnitude and spatial extent of droughts. The main advantage of the SPI, in comparison with other indices, is that the SPI enables both determination of drought conditions at different time scales and monitoring of different drought types. This index captures the accumulated deficit (SPI < 0) or surplus (SPI > 0) of precipitation over a specified period, and provides a normalized measure (i.e. spatially invariant Z score) of relative precipitation anomalies at multiple time scales. In the present study, monthly time series of rainfall data ) from 160 stations were used to derive SPI, particularly at 3-month time scales. This 3-month SPI was interpolated to depict spatial patterns of meteorological drought and its severity during typical drought and wet years. Correlation analysis was also done to evaluate usefulness of SPI to quantify effects of drought on food grain productivity. Further, time series of SPI were exploited to assess the drought risk in Gujarat.

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Exploration de l’indicateur standardisé de précipitation à l’aide d’une analyse statistique régionale

Cited by 21 publications

References 15 publications

Application of the L-moments approach to the analysis of regional flood frequency in Northern Algeria

Application of the L-moments approach to the analysis of regional flood frequency in Northern Algeria

The effect of the length of record on the standardized precipitation index calculation

Analyzing spatial patterns of meteorological drought using standardized precipitation index

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