Next Article in Journal
Automated Extraction of Urban Water Bodies from ZY‐3 Multi‐Spectral Imagery
Next Article in Special Issue
Urban Water Cycle Simulation/Management Models: A Review
Previous Article in Journal
Tracer Experiments and Hydraulic Performance Improvements in a Treatment Pond
Previous Article in Special Issue
Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessFeature PaperArticle
Water 2017, 9(2), 146; doi:10.3390/w9020146

Where to Find Water Pipes and Sewers?—On the Correlation of Infrastructure Networks in the Urban Environment

Unit of Environmental Engineering, University of Innsbruck, Technikerstr. 13, 6020 Innsbruck, Austria
*
Author to whom correspondence should be addressed.
Received: 14 December 2016 / Accepted: 16 February 2017 / Published: 21 February 2017
(This article belongs to the Special Issue Synergies in Urban Water Infrastructure Modeling)
View Full-Text   |   Download PDF [2903 KB, uploaded 22 February 2017]   |  

Abstract

Urban water infrastructure, i.e., water supply and sewer networks, are underground structures, implying that detailed information on their location and features is not directly accessible, frequently erroneous, or missing. For public use, data is also not made available due to security concerns. This lack of quality data, especially for research purposes, requires substantial effort when such data is sought for both statistical and model‐based analyses. An alternative to gathering data from archives and observations is to extract the information from surrogate data sources (e.g., the street network). The key for such an undertaking is to identify the common characteristics of all urban infrastructure network types and to quantify them. In this work, the network correlations of the street, water supply, and sewer networks are systematically analyzed. The results showed a strong correlation between the street networks and urban water infrastructure networks, in general. For the investigated cases, on average, 50% of the street network length correlates with 80%-85% of the total water supply/sewer network. A correlation between street types and water infrastructure properties (e.g., pipe diameter) cannot be found. All analyses are quantified in the form of different geometric‐ and graph‐based indicators. The obtained results improve the understanding of urban network infrastructure from an integrated point of view. Moreover, the method can be fundamental for different research purposes, such as data verification, data completion, or even the entire generation of feasible datasets. View Full-Text
Keywords: integrated analysis; synergies in data; graph theory based indicators; geometric indicators;  interlinked networks integrated analysis; synergies in data; graph theory based indicators; geometric indicators;  interlinked networks
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Mair, M.; Zischg, J.; Rauch, W.; Sitzenfrei, R. Where to Find Water Pipes and Sewers?—On the Correlation of Infrastructure Networks in the Urban Environment. Water 2017, 9, 146.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top