Multi-Temporal Built-Up Grids of Brazilian Cities: How Trends and Dynamic Modelling Could Help on Resilience Challenges?
作者： Iana Rufino , Slobodan Djordjević , Priscila Barros Ramalho Alves , Higor Costa de Brito
DOI: 10.3390/SU13020748
关键词:
摘要: The northeastern Brazilian region has been vulnerable to hydrometeorological extremes, especially droughts, for centuries. A combination of natural climate variability (most the area is semi-arid) and water governance problems increases extreme events’ impacts, in urban areas. Spatial analysis visualisation possible land-use change (LUC) zones trends (urban growth vectors) can be useful planning actions or decision-making policies sustainable development. Global Human Settlement Layer (GHSL) produces global spatial information, evidence-based analytics, knowledge describing Earth’s human presence. In this work, GHSL built-up grids selected cities were used generate models using GIS (geographic information system) technologies cellular automata pattern simulations growth. six sprawl. main goal was provide predictive scenarios management (including simulations) a highly susceptible hazards, such as floods droughts. cities’ raises more significant challenges because lack field data. Findings conclusions show potential dynamic modelling predict support sensitive planning, increasing coping capacity hazards.
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