Karst Spring Discharges Analysis in Relation to Drought Periods, Using the SPI

Fiorillo, Francesco; Guadagno, Francesco M.

doi:10.1007/s11269-009-9528-9

Cited by 107 publications

(63 citation statements)

References 19 publications

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“…The SPI has proved its ability to quantify drought severity at different time scales, and provides a powerful tool for the analysis and monitoring of meteorological droughts (Lana et al, 2001;Bonaccorso et al, 2003;Patel et al, 2007;Di Lena et al, 2014) and for the assessment of drought impacts on different systems, including river flows and reservoir storages (Vicente-Serrano et al, 2005;Lorenzo-Lacruz et al, 2010;Hannaford et al, 2011;Lorenzo-Lacruz et al, 2013a), vegetation activity (Pasho et al, 2011;Vicente-Serrano et al, 2012;Morán-Tejeda et al, 2013), soil moisture (Sims et al, 2002;Hirschi et al, 2011) and spring discharges and groundwater levels (Fiorillo et al, 2010).…”

Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

Spatio-temporal patterns of meteorological droughts in the Balearic Islands (Spain)

Lorenzo‐Lacruz

Morán-Tejéda

2016

CIG

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Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

Spatio-temporal patterns of meteorological droughts in the Balearic Islands (Spain)

Lorenzo‐Lacruz

Morán-Tejéda

2016

CIG

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“…The transformation in the Standard normal distribution provides dimensionless values, and allows a direct comparison between the time series of Figure 10 (1, 3, 6, 12 and 24 h). Besides, it also allows the comparison of different hydrological parameters, such as spring discharge and rainfall [31]. The transformed historical data of Figure 10 have been plotted in Figure 11, fitted by the Standard normal distribution.…”

Section: Transformation In the Standard Normal Distributionmentioning

confidence: 99%

Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily

Fiorillo

Diodato²,

Meo³

2016

Water

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Abstract:After more than 350 mm of rainfall fell in a few hours on 22 November 2011, thousands of landslides and floods were induced in two main zones of Northeastern Sicily. The total rainfall has been reconstructed integrating available rain gauge data with Tropical Rainfall Measuring Mission (TRMM) satellite data from NASA (National Aeronautics and Space Administration); the landslide distribution in the field has confirmed the pattern of rainfall accumulated on 22 November 2011. Precipitation maxima of 1, 3, 6, 12, and 24 h was recognized as the hazardous events, which marks the evidence of a changing climate, with a shift toward more intense rainfalls in recent times. To investigate the sequence of the annual maxima, the historical time series have been transformed in the Standard normal distribution, from the cumulative probability of the GEV (Generalized Extreme Value) distribution. Following a similar definition of the Standard Precipitation Index (SPI), the transformation of the historical data in the standardized values allows the definition of categories of hourly maxima in term of extreme, severe, moderate, or mild. This transformation allows to eliminate the asymmetry of the time series, so that trends and fluctuations have been highlighted by the progressive accumulation of data (Rescaled Adjust Partial Sum). This statistical approach allows the improvement of the interpretability of the hydrological extreme events, and could also be used in other cases.

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“…(Fiorillo, 2009). In particular, 2001/02 was one of the most intense hydrological droughts that occurred in southern Italy (Fiorillo and Guadagno, 2010) and caused the historical minimum discharge in many karst springs. After the dry years of 2006/ 07 and 2007/08, the annual rainfall of the 2008/09 was one of the highest of the historical series, and increased the spring discharges much more than the mean.…”

Section: Hydrogeological and Hydrological Characteristicsmentioning

confidence: 99%

Karst aquifer draining during dry periods

Fiorillo¹,

Revellino²,

Ventafridda³

2012

JCKS

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We analyzed hydrographs of five karst springs in southern Italy during the recession period using ten continuous years of daily discharge measurements and provided conclusions on the aquifer behavior under dry periods and droughts. A straight line was fitted to a semilogarithmic plot (log-discharge versus time), and the recession coefficient (the slope of the line generated from the equation) was calculated for each spring and for each year considered. A deviation from the straight line produced by a simple exponential decay of discharge through time provides information on the actual emptying rate of the aquifer compared to a simple exponential decline. If the recession coefficient decreases or increases, the aquifer is empting more slowly or more quickly than expected, respectively. Water level of a monitored well inside the karst catchment was also assessed and provided information on the water distribution into aquifers. The results describe the hydraulic behavior of karst aquifers during their emptying and provide information for better management of karst springs.

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Karst Spring Discharges Analysis in Relation to Drought Periods, Using the SPI

Cited by 107 publications

References 19 publications

Spatio-temporal patterns of meteorological droughts in the Balearic Islands (Spain)

Spatio-temporal patterns of meteorological droughts in the Balearic Islands (Spain)

Reconstruction of a Storm Map and New Approach in the Definition of Categories of the Extreme Rainfall, Northeastern Sicily

Karst aquifer draining during dry periods

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