scholarly journals Rationalizing Systems Analysis for the Evaluation of Adaptation Strategies in Complex Human-Water Systems

2018 ◽  
Author(s):  
Arthur Hrast Essenfelder ◽  
C. Dionisio Pérez-Blanco ◽  
Alex Mayer
2018 ◽  
Vol 6 (9) ◽  
pp. 1181-1206 ◽  
Author(s):  
Arthur H. Essenfelder ◽  
C. Dionisio Pérez-Blanco ◽  
Alex S. Mayer

2020 ◽  
Author(s):  
Rachata Muneepeerakul ◽  
Mehran Homayounfar

<p>To clarify the nonlinear and intertwined dynamics in coupled human-water systems, we developed a stylized model that combines simple hydrological and social dynamics. In this model, neither too much nor too little water is good (think floods and droughts, respectively; this is a feature absent in previous models) and the population self-organizes to respond to relative benefits they derive from the water system and outside opportunities. Despite its simplicity, the model richly yields 6 different regimes. A closer look at the conditions giving rise to these different regimes sheds light on the design of policies and adaptation strategies for the coupled human-water system under different social-hydrological settings. Advantages and limitations of this modeling approach will also be discussed.</p>


2013 ◽  
Vol 68 (6) ◽  
pp. 1203-1215 ◽  
Author(s):  
Lorenzo Benedetti ◽  
Jeroen Langeveld ◽  
Adrien Comeau ◽  
Lluís Corominas ◽  
Glen Daigger ◽  
...  

While the general principles and modelling approaches for integrated management/modelling of urban water systems already present a decade ago still hold, in recent years aspects like model interfacing and wastewater treatment plant (WWTP) influent generation as complements to sewer modelling have been investigated and several new or improved systems analysis methods have become available. New/improved software tools coupled with the current high computational capacity have enabled the application of integrated modelling to several practical cases, and advancements in monitoring water quantity and quality have been substantial and now allow the collecting of data in sufficient quality and quantity to permit using integrated models for real-time applications too. Further developments are warranted in the field of data quality assurance and efficient maintenance.


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