Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

A Stakeholder Oriented Modelling Framework for the Early Detection of Shortage in Water Supply Systems

Articolo
Data di Pubblicazione:
2018
Abstract:
Management of water supply systems under shortage conditions due to drought requires computational tools able to relate the past precipitation regime over different time scales to future water resources availability. This work proposes a modelling framework to address the occurrence of shortage for water supply systems whose resource is constituted by natural or artificial reservoirs. The proposed methodology aims at identifying "management triggers" for possible mitigation measures. Emphasis is given on the use of standardized indices to promote information sharing. The implemented tool is structured into five modules: "hydrological" module; "scenarios" module; "reservoir" module; a module for the evaluation of "indices of shortage"; and a "support to early-warning" module. The whole procedure has been applied to three Italian reservoirs. For each water body, a case specific shortage early-warning system, based on standardized precipitation indices has been identified, allowing the implementation of efficient local mitigation measures.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
water supply system; drought; water shortage; standardized indices; early-warning system; early-warning uncertainty
Elenco autori:
Giordano, Raffaele; Petrangeli, ANNA BRUNA; Portoghese, Ivan; Salerno, Franco; Romano, Emanuele; Guyennon, NICOLAS DOMINIQUE
Autori di Ateneo:
GIORDANO RAFFAELE
GUYENNON NICOLAS DOMINIQUE
PETRANGELI ANNA BRUNA
PORTOGHESE IVAN
ROMANO EMANUELE
SALERNO FRANCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/343529
Pubblicato in:
WATER
Journal
  • Dati Generali

Dati Generali

URL

http://www.mdpi.com/2073-4441/10/6/762
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)