
The environmental resilience is strictly dependent of water availability. The identification of priority areas is important to conservation aid land-use planning and urban expansion, conservation, and policy strategy. The goal was to identify priority areas aiming water provision and environmental conservation at the “Canal do Rio Guandu” watershed in Rio de Janeiro, Brazil. To address the goal four micro-basins included in the watershed were selected to optimize collect field data and create the criteria to define the priority levels. Based on prior literature, legacy and field data, an assessment method was proposed based on map algebra with support of Geographical Information System, gathering professional tacit knowledge with spatial data to support the selection of strategic areas. The approach based on was successful to select primarily priority areas and can contribute to regulate the local policies, pointing out areas that can connect legally protected areas with forested fragments, which presents great importance to urban and rural supply.
Water Demand, Optimal Operation of Water Resources Systems, Ocean Engineering, Watershed area, Environmental science, Identification (biology), Engineering, Field (mathematics), Machine learning, FOS: Mathematics, Water Resources Management and Environmental Planning, Business, Environmental resource management, Biology, Water Science and Technology, Environmental planning, Global and Planetary Change, Global Analysis of Ecosystem Services and Land Use, Geography, Ecology, Physics, Pure mathematics, Watershed, Watershed management, Computer science, Water resource management, Resilience (materials science), FOS: Biological sciences, Physical Sciences, Environmental Science, Thermodynamics, Mathematics
Water Demand, Optimal Operation of Water Resources Systems, Ocean Engineering, Watershed area, Environmental science, Identification (biology), Engineering, Field (mathematics), Machine learning, FOS: Mathematics, Water Resources Management and Environmental Planning, Business, Environmental resource management, Biology, Water Science and Technology, Environmental planning, Global and Planetary Change, Global Analysis of Ecosystem Services and Land Use, Geography, Ecology, Physics, Pure mathematics, Watershed, Watershed management, Computer science, Water resource management, Resilience (materials science), FOS: Biological sciences, Physical Sciences, Environmental Science, Thermodynamics, Mathematics
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