Rationalizing Systems Analysis for the Evaluation of Adaptation Strategies in Complex Human‐Water Systems. Issue 9 (8th September 2018)

• Record Type: Journal Article
• Authors: Essenfelder, Arthur H.; Pérez‐Blanco, C. Dionisio; Mayer, Alex S.
• Is Part Of: Earth's future. Volume 6:Issue 9(2018)
• Page Start: 1181
• Page End: 1206
• Publication Date: 2018-09-08
• Subjects: human‐water systems -- socio‐hydrology -- hydro‐economic model -- systems analysis -- human behavior -- adaptation strategies; Environmental sciences -- Periodicals; Environmental sciences; Periodicals; 550
• DOI: 10.1029/2018EF000826
• Languages: English
• ISSNs: 2328-4277

Abstract

Abstract: Water resources management is a nontrivial process requiring a holistic understanding of the factors driving the dynamics of human‐water systems. Policy‐induced or autonomous behavioral changes in human systems may affect water and land management, which may affect water systems and feedback to human systems, further impacting water and land management. Currently, hydro‐economic models lack the ability to describe such dynamics either because they do not account for the multifactor/multioutput nature of these systems and/or are not designed to operate at a river basin scale. This paper presents a flexible and replicable methodological framework for integrating a microeconomic multifactor/multioutput Positive Multi‐Attribute Utility Programming (PMAUP) model with an eco‐hydrologic model, the Soil and Water Assessment Tool (SWAT). The connection between the models occurs in a sequential modular approach through a common spatial unit, the "hydrologic‐economic representative units" (HERUs), derived from the boundaries of decision‐making entities and hydrologic responsive units. The resulting SWAT‐PMAUP model aims to provide the means for exploring the dynamics between the behavior of socio‐economic agents and their connection with the water system through water and land management. The integrated model is illustrated by simulating the impacts of irrigation restriction policies on the Río Mundo subbasin in south‐eastern Spain. The results suggest that agents' adaptation strategies in response to the irrigation restrictions have broad economic impacts and subsequent consequences on surface and groundwater hydrology. We suggest that the integrated modeling framework can be a valuable tool to support decision‐making in water resources management across a wide range of scales. Key Points: Socio‐economic agents' decision‐making is a determinant factor driving/affecting hydrologic processes A holistic, multifactor perspective is required to evaluate the impacts of policy interventions in complex human‐water systems Socio‐hydrologic analysis requires both innovative and integrative socio‐economic and eco‐hydrologic modeling frameworks