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Towards a Set of IPCC SRES Urban Land-Use Scenarios: Modelling Urban Land-Use in the Madrid Region

机译:建立一套IPCC SRES城市土地使用方案:在马德里地区模拟城市土地使用

摘要

The objectives of this study are to test the applicability of urban land use change models for the simulation of climate change scenarios for large re-gions and to define the future research needs in this topic. Specifically, the scenarios A1, A2 and B2 produced by the Intergovernmental Panel on Climate Change (IPCC) in the Special Report on Emissions Scenarios (SRES) have been used for the implementation of three urban land use scenarios in the Madrid region. A cellular automata-based model has been used for the modelling component of the experiment. The land use scenar-ios were developed for an area of about 10,000 km². This area includes about 340 municipalities of the Madrid Autonomous Community and other municipalities beyond it representing the functional region of Madrid. The IPCC SRES emissions scenarios were used to produce the storylines de-scribing the narrative socio-economic and political conditions that will drive future land use change. The scenarios produced cover the period 2000-2040. CORINE land use datasets were used as input data into the model. This European-wide dataset creates the possibility of modelling large European areas using a single implementation of the model. This ap-proach opens new possibilities for the assessment of the impacts of urban land use development (e.g., transport needs, increasing exposure to natural hazards, impacts from climate change, urban sprawl).
机译:这项研究的目的是测试城市土地利用变化模型在大区域气候变化情景模拟中的适用性,并确定该主题的未来研究需求。具体而言,政府间气候变化专门委员会(IPCC)在排放情景特别报告(SRES)中提出的情景A1,A2和B2已用于马德里地区实施三种城市土地使用情景。基于细胞自动机的模型已用于实验的建模组件。土地使用情景开发了约10,000平方公里的土地。该地区包括马德里自治区的约340个城市以及该地区以外代表马德里功能区的其他城市。 IPCC SRES排放情景被用来制作故事情节,描述叙事性的社会经济和政治状况,这将推动未来土地用途的变化。所产生的情景涵盖了2000-2040年。 CORINE土地利用数据集被用作模型的输入数据。这个欧洲范围的数据集提供了使用模型的单个实现对大型欧洲地区进行建模的可能性。该方法为评估城市土地利用发展的影响(例如交通需求,增加的自然灾害暴露,气候变化的影响,城市扩张)开辟了新的可能性。

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