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Title:Quantitative sustainable design of water and sanitation infrastructure in resource-rich and resource-limited contexts
Author(s):Byrne, Diana Marie
Director of Research:Guest, Jeremy S
Doctoral Committee Chair(s):Guest, Jeremy S
Doctoral Committee Member(s):Winter-Nelson, Alex; Zerai, Assata; Smith, Rebecca L; Zilles, Julie
Department / Program:Civil & Environmental Eng
Discipline:Environ Engr in Civil Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):sustainable design
Abstract: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.
Issue Date:2019-12-20
Type:Thesis
URI:http://hdl.handle.net/2142/108213
Rights Information:Copyright 2020 Diana Byrne
Date Available in IDEALS:2020-08-27
Date Deposited:2020-05


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