Monitoring drought requires methodologies capable of capturing changes not only in severity, but also in duration and frequency. In this study, we propose a non-parametric monitoring framework based on time-between-event and amplitude control charts to detect changes in regional drought characteristics. The analysis focuses on the Emilia-Romagna region (Italy) and is based on a weighted regional standardized precipitation evapotranspiration index. Two complementary approaches are proposed: an exponentially weighted moving average control chart and a change-point control chart based on the Kolmogorov-Smirnov statistic. The results reveal coherent signals of structural changes in drought behavior, including an increase in the frequency and severity of drought episodes since the early 2000s.

Scagliarini, M. (2026). Detecting Structural Changes in Regional Drought Characteristics via Non-parametric Control Charts. Cham : Springer [10.1007/978-3-032-30665-4_70].

Detecting Structural Changes in Regional Drought Characteristics via Non-parametric Control Charts

Michele Scagliarini
2026

Abstract

Monitoring drought requires methodologies capable of capturing changes not only in severity, but also in duration and frequency. In this study, we propose a non-parametric monitoring framework based on time-between-event and amplitude control charts to detect changes in regional drought characteristics. The analysis focuses on the Emilia-Romagna region (Italy) and is based on a weighted regional standardized precipitation evapotranspiration index. Two complementary approaches are proposed: an exponentially weighted moving average control chart and a change-point control chart based on the Kolmogorov-Smirnov statistic. The results reveal coherent signals of structural changes in drought behavior, including an increase in the frequency and severity of drought episodes since the early 2000s.
2026
Statistical Science: From Theory to Applied Research IV
429
434
Scagliarini, M. (2026). Detecting Structural Changes in Regional Drought Characteristics via Non-parametric Control Charts. Cham : Springer [10.1007/978-3-032-30665-4_70].
Scagliarini, Michele
File in questo prodotto:
File Dimensione Formato  
ScagliariniSIS2026V13.pdf

embargo fino al 17/07/2027

Tipo: Postprint / Author's Accepted Manuscript (AAM) - versione accettata per la pubblicazione dopo la peer-review
Licenza: Licenza per accesso libero gratuito
Dimensione 427.14 kB
Formato Adobe PDF
427.14 kB Adobe PDF   Visualizza/Apri   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1077896
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact