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Exploring the Food-Energy-Water Nexus : = Insights from Co-Evolution in Coupled Natural-Human Systems.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Exploring the Food-Energy-Water Nexus :/
Reminder of title:	Insights from Co-Evolution in Coupled Natural-Human Systems.
Author:	Zhang, Jiaorui.
Description:	1 online resource (164 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:	Dissertations Abstracts International85-07B.
Subject:	Water resources management. -
Online resource:	click for full text (PQDT)
ISBN:	9798381377163

Exploring the Food-Energy-Water Nexus : = Insights from Co-Evolution in Coupled Natural-Human Systems.
Zhang, Jiaorui.

Exploring the Food-Energy-Water Nexus :Insights from Co-Evolution in Coupled Natural-Human Systems. - 1 online resource (164 pages)

Source: Dissertations Abstracts International, Volume: 85-07, Section: B.

Thesis (Ph.D.)--Lehigh University, 2024.

Includes bibliographical references

Balancing the rising demands of energy and food with sustainable water resource management under climate change presents a significant challenge. This complexity is heightened within a coupled natural-human systems (CNHS), where heterogeneous human activities affect the natural hydrologic cycle and vice versa. This dissertation explores the co-evolution in CNHS to advance our understanding of interactions between food, energy, water (FEW) sectors. This dissertation investigates the human dimension of the FEW nexus through a workshop with regional government agencies and a comprehensive survey of residents in a transboundary basin (the Columbia River Basin between the US and Canada), which illuminates both institutional and residential aspect of the FEW resources. The workshop offers insights into current policy and resource management, while the survey explores residents' perceptions and understanding of the FEW nexus and associated regulations. By synthesizing information from these dual avenues, the result provides a complete picture of the human dimension of the FEW nexus and potentially reconciles varying stakeholder priorities, paving the way for enhanced FEW resource management. Moreover, this dissertation develops a distributed modeling framework that fully integrates an agent-based model (ABM, a human system model) which simulated spatially distributed human behaviors (i.e., heterogenous irrigation decisions), into a large-scale, process-based distributed hydrologic model (a natural system model) to consider endogenous human behaviors in the hydrologic cycle. In addition to simulating adaptive human behaviors under historical conditions, the integrated modeling framework is applied to evaluate the future FEW nexus. Utilizing the integrated modeling framework, this dissertation assesses the highly uncertain future climate change effects on FEW sectors in the Columbia River Basin at different spatial scales. The decision-scaling framework, an ex-post scenarios analysis method, is employed to quantify climate change uncertainties. This method identifies acceptable system performance in a broad range of future climate conditions, rather than focusing on predictions of future climate that are subject to various climate modeling and downscaling approaches' uncertainties. The result of the FEW nexus under climate change offers insightful information for shaping long-term water management policies. In sum, this dissertation contributes to understanding the co-evolution in CNHS for the FEW nexus. It underscores the need for future research to establish a more comprehensive framework across diverse application topics to enrich the picture of this dissertation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381377163Subjects--Topical Terms:

1178858
Water resources management.
Subjects--Index Terms:

Coupled natural-human systemsIndex Terms--Genre/Form:

554714
Electronic books.

Exploring the Food-Energy-Water Nexus : = Insights from Co-Evolution in Coupled Natural-Human Systems.
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