NDLI: Modelling Sewer Systems Costs with Multiple Linear Regression

Content Provider	Springer Nature Link
Author	Marchionni, Valentina Lopes, Nu Mamouros, Luis Covas, Dídia
Copyright Year	2014
Abstract	The aim of this paper is the establishment and validation of cost functions for the various assets of sewer systems, namely gravity and raising pipes, manholes and pumping-stations. Costs are defined as a function of the main physical characteristics of the assets, such as, the pipe material and diameter, excavation depth and percentage of pavement (for sewer pipes), the manhole depth (for manholes) and flow rate, pump head and pump power (for pumping stations,). A four-step methodology was followed: 1) data collection, processing and analysis, 2) present value calculation, 3) key parameters identification and cost functions estimation, and 4) cost functions validation. Cost and infrastructure data for construction contracts of sewer systems managed by Águas de Portugal (AdP) were analyzed. Cost functions were estimated based on multiple linear regression analysis and compared with the ones obtained in previous studies.
Starting Page	4415
Ending Page	4431
Page Count	17
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	28
Issue Number	13
e-ISSN	15731650
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-08-07
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cost function Wastewater Stormwater Sewer Pumping station Multiple linear regression Hydrogeology Hydrology/Water Resources Geotechnical Engineering & Applied Earth Sciences Atmospheric Sciences Civil Engineering Environment
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

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