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Designing urban agriculture : A complete guide to the planning, design, construction, maintenance and management of edible landscapes
About the intersection of ecology, design, and community. Showcasing projects and designers from around the world who are forging new paths to the sustainable city through urban agriculture landscapes, it creates a dialogue on the ways to invite food back into the city and pave a path to healthier communities and environments.This full-color guide begins with a foundation of ecological principles and the idea that the food shed is part of a city's urban systems network. It outlines a design process based on systems thinking and developed for a lifecycle or regenerative-based approach. It also presents strategies, tools, and guidelines that enable informed decisions on planning, designing, budgeting, constructing, maintaining, marketing, and increasing the sustainability of this re-invented cityscape.
Artificial intelligence techniques in hydrology and water resources management
The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices.
