Published 2019 | Version v1
Book

Effects of spatial correlation of demands on the cost and resilience of water distribution networks: A new design optimization approach

Description

Design optimization procedures for water distribution systems generally assume that the nodal demands follow the same diurnal pattern, which implies that the demands are fully synchronised and perfectly correlated. However, it is well known that in practice the spatial correlation of the demands is not perfect; i.e. the cross-correlation is less than unity. This study investigates the effects of the widespread assumption that demands are perfectly correlated on the overall performance and capital cost of water distribution systems. A new optimal design approach that considers the cross-correlation of the nodal demands was developed herein. Essentially, the novelty of the research is that the optimization procedure incorporates the spatial properties of the demands in terms of the cross-correlation while preserving the diurnal demand patterns. Thus, in addition to the cross-correlation effects, the nodal demand patterns are assumed to be independent and unique and are addressed explicitly using extended period simulation.

Part of:
11th World Congress on Water Resources and Environment: Managing Water Resources for a Sustainable Future - EWRA 2019. Proceedings

Additional details

Publishing Information

Publisher
European Water Resources Association EWRA
Imprint Place
Madrid (Spain)
Imprint Title
11th World Congress on Water Resources nd Environment: Managing Water Resources for a Sustainable Future - EWRA 2019. Proceedings
Imprint Pagination
529 p.
Journal Page Range
p. 247-248

Conference

Title
11. World Congress on Water Resources nd Environment: Managing Water Resources for a Sustainable Future
Acronym
EWRA 2019
Dates
25-29 Jun 2019
Place
Madrid (Spain)

INIS

Country of Publication
Spain
Country of Input or Organization
Spain
INIS RN
52096099
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
FLOODS; NATURAL DISASTERS; SURFACE WATERS; WATER SUPPLY

Optional Information