Hierarchical Patch Dynamics Modeling of Near-Well Dynamics in Complex Regional Groundwater Systems

2008 ◽  
Vol 13 (9) ◽  
pp. 894-904 ◽  
Author(s):  
Soheil Afshari ◽  
Richard Mandle ◽  
Shu-Guang Li
1976 ◽  
Vol 7 (2) ◽  
pp. 81-94
Author(s):  
Guttormur Sigbjarnarson ◽  
Pall Theodorsson ◽  
Bragi Arnason

Regional hydrological investigations of the subsurface drainage in the neovolcanic area around lake Thorisvatn on the central Icelandic plateau have been carried out as well as geological exploration. Environmental isotopes, deuterium and tritium, proved decisive in finding the groundwater flow pattern and in separating the different groundwater systems and explaining local deviations as barriers and perched aquifers. The regional groundwater flow is only slightly dependent on the. topography but highly on the geological conditions, as it virtually flows under mountain ranges as well as under the river Tungnaa.


Author(s):  
James H. Thorp ◽  
Martin C. Thoms ◽  
Michael D. Delong

Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 604 ◽  
Author(s):  
Merot ◽  
Belhouchette

Farming systems are complex and include a variety of interacting biophysical and technical components. This complexity must be taken into account when designing farming systems to improve sustainability, but more methods are needed to be able to do so. This article seeks to apply the Hierarchical Patch Dynamics theory (HPD) to farming systems to understand farming system complexity and be better able to support farming system re-design. A six-step framework is proposed to adapt the HPD theory to farming system analysis by taking into account (i) spatial and temporal interactions and (ii) field and management diversity. This framework was applied to a vineyard case study. The result was a hierarchical formalization of the farming system. The HPD framework improved understanding and enabled the formalization of (i) the hierarchical structure of the farming system, (ii) the interactions between structure and processes and (iii) scaling up and down from field to farm scale. HPD theory proved to be successful in analyzing farming system complexity at the farm scale. The framework can help with specific aspects of farming system design, such as how to change the scale of study or determining which scale should be used when choosing indicators for crop management and integrating multi-scale constraints and processes.


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