At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation

In this study an analysis of the water supply variability for three towns in Puglia (Southern Italy), Roccaforzata, Palagianello and Palagiano, was carried out, based on time series continuously recorded over two years. The towns’ population ranges between 1800 and 16,000 inhabitants and t...

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Main Authors: Gabriella Balacco, Andrea Gioia, Vito Iacobellis, Alberto Ferruccio Piccinni
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/11/1/24
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spelling doaj-e8dda32a40ee4434b16b226e4fd5d5642020-11-24T22:52:32ZengMDPI AGWater2073-44412018-12-011112410.3390/w11010024w11010024At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor EvaluationGabriella Balacco0Andrea Gioia1Vito Iacobellis2Alberto Ferruccio Piccinni3Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Politecnico di Bari, 70125 Bari, ItalyDipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Politecnico di Bari, 70125 Bari, ItalyDipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Politecnico di Bari, 70125 Bari, ItalyDipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Politecnico di Bari, 70125 Bari, ItalyIn this study an analysis of the water supply variability for three towns in Puglia (Southern Italy), Roccaforzata, Palagianello and Palagiano, was carried out, based on time series continuously recorded over two years. The towns’ population ranges between 1800 and 16,000 inhabitants and the flow data, collected with time steps of 10 min, are referred to drinking water in an urban environment. The frequency analysis was conducted on the hourly and instantaneous peak factors and confirmed that the Gumbel distribution is able to represent the stochastic behavior of the peak water demand. A physically based formulation of the distribution parameters was exploited in order to investigate the regional distribution of the peak factor for towns with a different population.http://www.mdpi.com/2073-4441/11/1/24peak water demandprobabilistic approachGumbel distribution
collection DOAJ
language English
format Article
sources DOAJ
author Gabriella Balacco
Andrea Gioia
Vito Iacobellis
Alberto Ferruccio Piccinni
spellingShingle Gabriella Balacco
Andrea Gioia
Vito Iacobellis
Alberto Ferruccio Piccinni
At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation
Water
peak water demand
probabilistic approach
Gumbel distribution
author_facet Gabriella Balacco
Andrea Gioia
Vito Iacobellis
Alberto Ferruccio Piccinni
author_sort Gabriella Balacco
title At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation
title_short At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation
title_full At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation
title_fullStr At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation
title_full_unstemmed At-Site Assessment of a Regional Design Criterium for Water-Demand Peak Factor Evaluation
title_sort at-site assessment of a regional design criterium for water-demand peak factor evaluation
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2018-12-01
description In this study an analysis of the water supply variability for three towns in Puglia (Southern Italy), Roccaforzata, Palagianello and Palagiano, was carried out, based on time series continuously recorded over two years. The towns’ population ranges between 1800 and 16,000 inhabitants and the flow data, collected with time steps of 10 min, are referred to drinking water in an urban environment. The frequency analysis was conducted on the hourly and instantaneous peak factors and confirmed that the Gumbel distribution is able to represent the stochastic behavior of the peak water demand. A physically based formulation of the distribution parameters was exploited in order to investigate the regional distribution of the peak factor for towns with a different population.
topic peak water demand
probabilistic approach
Gumbel distribution
url http://www.mdpi.com/2073-4441/11/1/24
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