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Review and Critical Analysis of International UHI Studies

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<strong>and</strong> hydrological models that simulate the surface temperatures <strong>and</strong> run<strong>of</strong>f respectively in<br />

relation to the green infrastructure under the current <strong>and</strong> future climate scenarios. This<br />

provides significant steps forward as it quantities the potential <strong>of</strong> green infrastructure to<br />

moderate climate change impacts (also some common <strong>UHI</strong> impacts) in a rigorous manner<br />

<strong>and</strong> can facilitate the planning for future expansions <strong>of</strong> green space in urban environments<br />

in meeting <strong>UHI</strong> mitigation criteria [010];<br />

� The Taiwanese study provides a preliminary analysis on the local cool‐isl<strong>and</strong> intensity <strong>of</strong><br />

Taipei city parks. Given that urban green‐spaces broadly relieve the urban heat isl<strong>and</strong> in<br />

certain climates it examines what design factors influence the performance <strong>of</strong> the urban<br />

green parks <strong>and</strong> looks at the relative effects <strong>of</strong> several parks [006];<br />

� The Israeli study examines vegetation as a climatic component in the design <strong>of</strong> an urban<br />

street. This uses an empirically developed model to predict the cooling effect <strong>of</strong> urban<br />

green areas with trees. The findings in this study (i.e. background effect, tree shading<br />

coverage, site specific effects, effect <strong>of</strong> trees in street, cooling effect on the surroundings)<br />

permit the development <strong>of</strong> tools for incorporating the climatic effects <strong>of</strong> green areas in<br />

urban design [109]; <strong>and</strong><br />

� A Japanese study considers how energy consumption in buildings can be reduced through<br />

efficiency measures such as improvements to heating, ventilation <strong>and</strong> air conditioning as<br />

well as considering window types <strong>and</strong> building block characteristics through modeling<br />

<strong>and</strong> simulations. The results showed a relationship between cooling requirement, weather<br />

data <strong>and</strong> building arrangement. The model calculates the most suitable building height for<br />

the air temperature in the area [202].<br />

It is important that designers <strong>and</strong> planners are equipped with the appropriate tools <strong>and</strong> rules <strong>of</strong><br />

thumb as to what kind <strong>of</strong> urban design characteristics best mitigate the undesirable effects on the<br />

micro <strong>and</strong> city level [006]. The Japanese study highlights that their approach is beginning to shift<br />

away from reliance on individual/isolated measures to mitigate the <strong>UHI</strong> – there is now a move<br />

towards improved infrastructure <strong>of</strong> the urban areas (e.g. roads, green space, rivers, etc) <strong>and</strong> a<br />

desire to influence urban planning in mass deployment measures such as the development <strong>of</strong><br />

wind paths (for city scale ventilation) [047].<br />

A number <strong>of</strong> papers used modeling <strong>and</strong> simulation to determine the most appropriate planning<br />

approach for their cities, these papers were as follows:<br />

� A useful design tool is presented in a US paper that can be applied in the US in<br />

collaboration with the city <strong>of</strong> Phoenix water resources department [056]. This study uses a<br />

simple model <strong>of</strong> heat fluxes in urban areas – Local Scale Urban Meteorological<br />

Parameterization Scheme (LUMPS) which examines the variation in temperature <strong>and</strong><br />

evaporation at the ‘census tract scale in 10 tracts <strong>of</strong> the urban core’. In this study it uses<br />

LUMPS to evaluate the effectiveness <strong>of</strong> various planning strategies. The limitation <strong>of</strong><br />

LUMPS <strong>and</strong> other urban heat flux models (at all scales) is that this tool at its respective<br />

scale may not be used to define mass solutions for several areas – it does however present<br />

planners the option to minimize resource use while maximizing social, economic <strong>and</strong><br />

environmental goals;<br />

� A Chinese paper declared urban planning to be one <strong>of</strong> the main causes <strong>of</strong> <strong>UHI</strong>. The study<br />

used remote sensing technology to analyze <strong>UHI</strong> at a community scale to establish an urban<br />

<strong>Review</strong> <strong>and</strong> <strong>Critical</strong> <strong>Analysis</strong> <strong>of</strong> <strong>International</strong> <strong>UHI</strong> <strong>Studies</strong><br />

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