the objective of this paper is to demonstrate the ability of visualization and simulation techniques to aid and simulate current and future directions in coastal planning. the process of visualization will interrogate the coastal cities of portland, apollo Bay, anglesea and hobsons Bay in south-eastern australian coastal seaboard through a progression of projections and simulated forecasts from 2014 to 2050 to see if a process(s) or methodology could help in planning the future growth of coastal settlements. the analysis uses Geographic information systems (Gis) associated with planning application software.
Urban Heat Island (UHI) is a phenomenon that can cause hotspots in city areas due to dense, impervious infrastructure and minimal vegetation cover. UHI hotspots may become worse in extreme heat events that are already aAecting many regions across the globe due to increased frequent hot extremes, humaninduced warming in cities, and rapidly growing urbanization, as documented by the latest IPCC report 2021. In seeking to support designers, planners, and decision-makers in developing and implementing adaptation strategies and measures to make our cities sustainable and resilient, reliable projections and modelling are required. In this study, we modelled UHI vulnerability using high-resolution spatial data, advanced geospatial tools, and socio-demographic data. This modiBed vulnerability approach drew upon UHI index maps and 20 select customized indicators of heat exposure, population sensitivity, and mobility/adaptive capacity. The indicators were Delphi evaluated and weighted, and the methodology was applied against the City of Greater Geelong municipality in Australia. The resulting UHI index maps indicated significant hotspots in areas of high building density, commercial/industrial zones, newly constructed sites, and zones with low urban green infrastructure. These UHI maps, in combination with selected indicators, highlighted the areal concentration of heat risk areas and vulnerable locations for the sensitive human population. The highlighted areas were primarily concentrated in high building density and high population density areas, which was seen through correlation curves. However, the building
The diversion and recovery of organic waste are one of the most significant opportunities and challenges for reducing the environmental impacts of waste disposal internationally, as recognised by the United Nations’ SDG 12 that seeks to “ensure sustainable consumption and production patterns”. This issue is particularly pertinent to developed countries, like Australia, who have a high propensity for waste removal arising from their industrial and domestic use of products, materials and organic consumables. Through the use of GIS technology, using modelling software developed by the Global Methane Initiative, a series of simulations were undertaken to determine the viability of an anaerobic digester for the City of Greater Geelong (COGG), located in the State of Victoria (Australia), where organic materials constitute over 25% of all waste land-filled. Using only municipal organic waste, the modelling concluded that the COGG would generate between AU$6M-AU$11M/annum from the sale of biogas/methane. In addition to this revenue stream, COGG would have an Annual Projected Net Emissions Reductions of 3797 Mt. This paper further considers the development of a geospatial database to identify and locate concentrated organic waste resources in COGG, the design and development of a software tool to help quantify the production of food waste, and the development of an economic model to value the organic waste stream of COGG arising from the implementation of this proposal.
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