Precipitation is one of the most significant components for the basin's hydrological cycle. Numerous features of a basin's water circulation may be affected by the chronological, geographical, and seasonal fluctuation of precipitation. It could be an important factor that influences hydrometeorological phenomena including floods and droughts. In this research, the innovative trend risk analysis (ITRA), innovative trend pivot analysis (ITPAM), and trend polygon star (TPS) methodologies of visualizing precipitation data are used to detect precipitation changes at six stations in Algeria's Wadi Ouahrane basin from 1972 to 2018. ITRA graphs show the direction of the precipitation trend (increasing-decreasing) and the trend risk class. Disparities in the polygons generated by the arithmetic mean and standard deviation ITPAM graphs demonstrate variations in precipitation seasonally and in the seasonal precipitation trends (increasing or decreasing) between sites. The TPS maps depict monthly variations in precipitation and highlight the autumn and spring transitions between the dry and wet seasons.

Analysis of monthly average precipitation of Wadi Ouahrane basin in Algeria by using the ITRA, ITPAM, and TPS methods

Tommaso Caloiero;
2023

Abstract

Precipitation is one of the most significant components for the basin's hydrological cycle. Numerous features of a basin's water circulation may be affected by the chronological, geographical, and seasonal fluctuation of precipitation. It could be an important factor that influences hydrometeorological phenomena including floods and droughts. In this research, the innovative trend risk analysis (ITRA), innovative trend pivot analysis (ITPAM), and trend polygon star (TPS) methodologies of visualizing precipitation data are used to detect precipitation changes at six stations in Algeria's Wadi Ouahrane basin from 1972 to 2018. ITRA graphs show the direction of the precipitation trend (increasing-decreasing) and the trend risk class. Disparities in the polygons generated by the arithmetic mean and standard deviation ITPAM graphs demonstrate variations in precipitation seasonally and in the seasonal precipitation trends (increasing or decreasing) between sites. The TPS maps depict monthly variations in precipitation and highlight the autumn and spring transitions between the dry and wet seasons.
2023
Istituto per i Sistemi Agricoli e Forestali del Mediterraneo - ISAFOM
Precipitation
Innovative trend risk analysis
Innovative trend pivot analysis
Trend polygon star concept
Wadi Ouahrane basin
Algeria
File in questo prodotto:
File Dimensione Formato  
prod_480997-doc_197667.pdf

non disponibili

Descrizione: Analysis of monthly average precipitation of Wadi Ouahrane basin in Algeria by using the ITRA, ITPAM, and TPS methods
Tipologia: Versione Editoriale (PDF)
Dimensione 8.52 MB
Formato Adobe PDF
8.52 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/20.500.14243/435476
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact