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University of Illinois at Urbana-Champaign

Quantitative sustainable design of water and sanitation infrastructure in resource-rich and resource-limited contexts

Abstract

dc:description

Quantitative sustainable design, a process of mechanistically linking design and operational decisions to sustainability indicators, can inform decision-making for water and sanitation infrastructure by enabling navigation of trade-offs across dimensions of sustainability (e.g., environmental, economic, human health). However, to be useful for decision-making, sustainable design tools must address context-specific objectives and constraints. This research addresses critical barriers for the practicality of two tools – life cycle assessment (LCA) and quantitative microbial risk assessment (QMRA) – in two different contexts. First in a resource-rich context, critical opportunities for advancing the use of LCA were identified including the integration of spatial considerations (e.g., spatialized characterization factors), water quantity (e.g., water quantity indicators), public health (e.g., integration with risk assessment), economic and social assessments (e.g., life cycle costing and social LCA), along with prioritization of continuous stakeholder engagement. In the second context of resource-limited communities, specifically an informal settlement in Uganda, this work leveraged uncertainty and sensitivity analyses to consider the implications of censored data management, identify major sources of uncertainty (e.g., pathogen concentrations, hand to mouth contact frequency), and incorporate risk perceptions to improve the utility of QMRA in these settings. Finally, to elucidate trade-offs among levels of data collection and implications for decision-making in resource-limited settings, two case studies of informal settlements were compared for five levels of data collection – (1) Demographic Health Survey data, (2) site-specific household surveys, (3) fecal indicator and pathogen detection, (4) QMRA using indicator to pathogen ratios, and (5) QMRA using pathogen data. In both settings, adapting quantitative sustainable design tools to address context-specific objectives and constraints can help make progress toward more sustainable water and sanitation infrastructure.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Environ Engr in Civil Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Byrne, Diana Marie
Contributors dc:contributor
  • Guest, Jeremy S
  • Winter-Nelson, Alex
  • Zerai, Assata
  • Smith, Rebecca L
  • Zilles, Julie

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 2020 Diana Byrne
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/108213
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/108213

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Byrne, Diana Marie. Quantitative sustainable design of water and sanitation infrastructure in resource-rich and resource-limited contexts. Dissertation thesis, University of Illinois at Urbana-Champaign, 2020. http://hdl.handle.net/2142/108213