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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://hdl.handle.net/2440/12" />
  <subtitle />
  <id>http://hdl.handle.net/2440/12</id>
  <updated>2013-05-25T14:18:03Z</updated>
  <dc:date>2013-05-25T14:18:03Z</dc:date>
  <entry>
    <title>Improved geostatistical simulation of the spatial heterogeneity of deltaic hydrofacies for environmental applications</title>
    <link rel="alternate" href="http://hdl.handle.net/2440/77962" />
    <author>
      <name>Jorreto-Zaguirre, S.</name>
    </author>
    <author>
      <name>Dowd, Peter Alan</name>
    </author>
    <author>
      <name>Pardo-Igúzquiza, Eulogio</name>
    </author>
    <author>
      <name>Pulido-Bosch, A.</name>
    </author>
    <author>
      <name>Sánchez-Martos, F.</name>
    </author>
    <id>http://hdl.handle.net/2440/77962</id>
    <updated>2013-05-24T03:30:06Z</updated>
    <published>2011-12-31T13:30:00Z</published>
    <summary type="text">Title: Improved geostatistical simulation of the spatial heterogeneity of deltaic hydrofacies for environmental applications
Author: Jorreto-Zaguirre, S.; Dowd, Peter Alan; Pardo-Igúzquiza, Eulogio; Pulido-Bosch, A.; Sánchez-Martos, F.
Abstract: The spatial geological heterogeneity of an aquifer significantly affects groundwater storage, flow and the transport of solutes. In the particular case of coastal aquifers, spatial geological heterogeneity is also a major determining factor of the spatio-temporal patterns of water quality (salinity) due to seawater intrusion. The hydraulics of coastal hydrogeology can be modelled effectively by
variable density flow equations but the aquifer geology is highly uncertain. A stochastic solution to the problem is to generate numerical models of the geology using sequential stratigraphy, geophysical models or geostatistical
approaches. The geostatistical methods (two-point geostatistics, Markov chain models and multiple-point geostatistics) have the advantage of minimal data requirements, e.g., when the only data available are from cores from a few
sparsely located boreholes. Advances in the geostatistical simulation of hydrofacies (categorical variables) have included more realistic models and more flexibility in variogram modelling. The variogram model used in the simulation of hydrofacies significantly influences the degree of connectivity of the hydrofacies in the simulated model. The choice of model is critical as connectivity determines
the amount and extent of seawater intrusion and hence the environmental risk. The methodology is illustrated with a case study of the Andarax river delta, a coastal aquifer in south-eastern Spain. This is a semi-arid Mediterranean region in
which the increasing use of, and demand for, groundwater is exacerbated by a transient tourist population that reaches its peak in the summer when the demand for the permanent population is at its highest. The work reported her contributes to the design of optimal management systems for groundwater resources.</summary>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </entry>
  <entry>
    <title>Geostatistical analysis of rainfall in the West African Sahel</title>
    <link rel="alternate" href="http://hdl.handle.net/2440/77961" />
    <author>
      <name>Dowd, Peter Alan</name>
    </author>
    <author>
      <name>Pardo-Igúzquiza, Eulogio</name>
    </author>
    <id>http://hdl.handle.net/2440/77961</id>
    <updated>2013-05-24T02:30:20Z</updated>
    <published>2011-12-31T13:30:00Z</published>
    <summary type="text">Title: Geostatistical analysis of rainfall in the West African Sahel
Author: Dowd, Peter Alan; Pardo-Igúzquiza, Eulogio
Abstract: In this paper we attempt to resolve the controversy around interpretations of the changing rainfall patterns in the West African Sahel during the twentieth century. Some authors maintain that the data show clear evidence
of drought starting in the 1970s and continuing through the 1980s (Dai et al., 2004), whilst other authors claim that the drought is an artefact of the decreasing number of rain gauges over the period in which the data were collected (Chapel and Agnew, 2004). It is somewhat surprising that none of the published studies on either side of this debate have used spatial methods, such as geostatistics, to model and
interpret rainfall trends and to address data artefacts such as the decrease in the number of rain gauges. We report the results of a geostatistical study of rainfall patterns in the Sahel. We distinguish two sub-areas – the dry Sahel and the wet Sahel – and use block
kriging with an anisotropic power semi-variogram to accommodate the latitudinal trend in rainfall. Our findings support the view that the period 1970-1989 was the most severe drought in the Sahel during the twentieth century and is not an
artefact of the changing number of rain gauges and their locations.</summary>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </entry>
  <entry>
    <title>Impacts of climate change downscaling method on rainwater tank yield</title>
    <link rel="alternate" href="http://hdl.handle.net/2440/77954" />
    <author>
      <name>Paton, Fiona Laura</name>
    </author>
    <author>
      <name>Gibbs, Matthew S.</name>
    </author>
    <author>
      <name>Maier, Holger R.</name>
    </author>
    <author>
      <name>Dandy, Graeme Clyde</name>
    </author>
    <id>http://hdl.handle.net/2440/77954</id>
    <updated>2013-05-24T00:30:07Z</updated>
    <published>2011-12-31T13:30:00Z</published>
    <summary type="text">Title: Impacts of climate change downscaling method on rainwater tank yield
Author: Paton, Fiona Laura; Gibbs, Matthew S.; Maier, Holger R.; Dandy, Graeme Clyde
Abstract: The impacts of climate change on rainwater tank yield are relatively unknown, with no studies analysing the effect of climate change downscaling method (CCDM), nor important rainwater tank parameters, on rainwater tank yield.  This paper addresses these shortcomings by developing a general stochastic methodology to (1) study the impact of CCDM on rainwater tank yield and (2) understand the sensitivity of yield to important rainwater tank parameters under climate change scenarios.  The methodology is applied to a case study of Adelaide, South Australia, whereby three CCDMs are compared for different tank sizes, roof sizes, demands, end uses and locations.  Only small differences in rainwater tank yield between CCDMs were observed; however, at extreme percentiles the difference increased.  These patterns were consistent across the important rainwater tank parameters, which when compared to the CCDMs, exhibited a much greater variability in rainwater tank yield.  These findings suggest the climate change studies of rainwater tanks should include sensitivity analyses of important rainwater tank parameters and that more complex methods to account for climate change are only warranted should the study be concerned with extreme events.</summary>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </entry>
  <entry>
    <title>Optimal scheduling of variable speed pumps in water distribution systems using genetic algorithms</title>
    <link rel="alternate" href="http://hdl.handle.net/2440/77951" />
    <author>
      <name>Marchi, Angela</name>
    </author>
    <author>
      <name>Simpson, Angus Ross</name>
    </author>
    <author>
      <name>Do, Nhu Cuong</name>
    </author>
    <id>http://hdl.handle.net/2440/77951</id>
    <updated>2013-05-23T06:30:13Z</updated>
    <published>2011-12-31T13:30:00Z</published>
    <summary type="text">Title: Optimal scheduling of variable speed pumps in water distribution systems using genetic algorithms
Author: Marchi, Angela; Simpson, Angus Ross; Do, Nhu Cuong</summary>
    <dc:date>2011-12-31T13:30:00Z</dc:date>
  </entry>
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