Coupling ground and airborne geophysical data with upscaling techniques for regional groundwater modeling of heterogeneous aquifers: Case study of a sedimentary aquifer intruded by volcanic dykes in Northern Ireland

In highly heterogeneous aquifer systems, conceptualization of regional groundwater flow models frequently results in the generalization or negligence of aquifer heterogeneities, both of which may result in erroneous model outputs. The calculation of equivalence related to hydrogeological parameters and applied to upscaling provides a means of accounting for measurement scale information but at regional scale. In this study, the Permo-Triassic Lagan Valley strategic aquifer in Northern Ireland is observed to be heterogeneous, if not discontinuous, due to subvertical trending low-permeability Tertiary dolerite dykes. Interpretation of ground and aerial magnetic surveys produces a deterministic solution to dyke locations. By measuring relative permeabilities of both the dykes and the sedimentary host rock, equivalent directional permeabilities, that determine anisotropy calculated as a function of dyke density, are obtained. This provides parameters for larger scale equivalent blocks, which can be directly imported to numerical groundwater flow models. Different conceptual models with different degrees of upscaling are numerically tested and results compared to regional flow observations. Simulation results show that the upscaled permeabilities from geophysical data allow one to properly account for the observed spatial variations of groundwater flow, without requiring artificial distribution of aquifer properties. It is also found that an intermediate degree of upscaling, between accounting for mapped field-scale dykes and accounting for one regional anisotropy value (maximum upscaling) provides results the closest to the observations at the regional scale.

Spatial allocation of material flow analysis in residential developments: a case study of Kildare County, Ireland

Studies of urban metabolism provide important insights for environmental management of cities, but are not widely used in planning practice due to a mismatch of data scale and coverage. This paper introduces the Spatial Allocation of Material Flow Analysis (SAMFA) model as a potential decision support tool aimed as a contribution to overcome some of these difficulties and describes its pilot use at the county level in the Republic of Ireland. The results suggest that SAMFA is capable of identifying hotspots of higher material and energy use to support targeted planning initiatives, while its ability to visualise different policy scenarios supports more effective multi-stakeholder engagement. The paper evaluates this pilot use and sets out how this model can act as an analytical platform for the industrial ecology–spatial planning nexus.

Case study of the uniaxial anisotropic spin-1 bilinear-biquadratic Heisenberg model on a triangular lattice

We study the spin-1 model on a triangular lattice in the presence of a uniaxial anisotropy field using a cluster mean-field (CMF) approach. The interplay among antiferromagnetic exchange, lattice geometry, and anisotropy forces Gutzwiller mean-field approaches to fail in a certain region of the phase diagram. There, the CMF method yields two supersolid phases compatible with those present in the spin-1/2 XXZ model onto which the spin-1 system maps. Between these two supersolid phases, the three-sublattice order is broken and the results of the CMF approach depend heavily on the geometry and size of the cluster. We discuss the possible presence of a spin liquid in this region.

Pattern Recognition Approach for Road Collision Hotspots Analysis: Case Study of Northern Ireland

In order to address road safety effectively, it is essential to understand all the factors, which
attribute to the occurrence of a road collision. This is achieved through road safety
assessment measures, which are primarily based on historical crash data. Recent advances
in uncertain reasoning technology have led to the development of robust machine learning
techniques, which are suitable for investigating road traffic collision data. These techniques
include supervised learning (e.g. SVM) and unsupervised learning (e.g. Cluster Analysis).
This study extends upon previous research work, carried out in Coll et al. [3], which
proposed a non-linear aggregation framework for identifying temporal and spatial hotspots.
The results from Coll et al. [3] identified Lisburn area as the hotspot, in terms of road safety,
in Northern Ireland. This study aims to use Cluster Analysis, to investigate and highlight any
hidden patterns associated with collisions that occurred in Lisburn area, which in turn, will
provide more clarity in the causation factors so that appropriate countermeasures can be put
in place.

Spiritual capital and democratization in Zimbabwe:A case study of a progressive charismatic congregation

Throughout Africa, charismatic Christianity has been caricatured as an inhibitor of democratization. Its adherents are said either to withdraw from the rough and tumble of politics ('pietism') or to preach a prosperity gospel that encourages believers to pour their resources into their churches in the hope that God will 'bless' them. Both courses of action are said to encourage such people to be politically quietist, with no interest in democratization or other forms of political activity. This is said to thwart democratization. This article utilizes an ethnographic case study of a 'progressive' charismatic congregation in Harare, Zimbabwe, in 2007, to provide evidence that 'pietism' and 'prosperity' are not the only options for charismatic Christianity. Drawing on the concept of 'spiritual capital', it argues that some varieties of charismatic Christianity have the resources to contribute to democratization. For example, this congregation's self-styled 'de-institutionalization' process is opening up new avenues for people to learn democratic skills and develop a worldview that is relationship-centred, participatory, and anti-authoritarian. The article concludes that spiritual capital can be a useful tool for analysing the role of religions in democratizations. It notes, however, that analysts should take care to identify and understand what variety of spiritual capital is generated in particular situations, focusing on the worldviews it produces and the consequences of those worldviews for democratization. © 2009 Taylor & Francis.

Race, religion and identity in South Africa:A case study of a charismatic congregation

This article uses a case study of a Pentecostal/charismatic congregation to explore how inclusive, overarching identities are constructed in South Africa. It explores how the congregation's culture impacts on identity formation, contestation and change. It argues that the way people construct their identities correlates with their perceived level of empowerment. It concludes that for an overarching identity to become durable, it must be accompanied by structural changes that dismantle the power imbalances embedded in old racial categories.