Ai Methods For Environmental Protection And Resource Conservation
Download Ai Methods For Environmental Protection And Resource Conservation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai Methods For Environmental Protection And Resource Conservation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
AI Methods for Environmental Protection and Resource Conservation
AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world’s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists.
Artificial Intelligence and Conservation
Author: Fei Fang
language: en
Publisher: Cambridge University Press
Release Date: 2019-03-28
Explains how artificial intelligence methods can be used to aid conservation of wildlife, forests, coral reefs, rivers, and other natural resources.
Circular Economy Implementation for Sustainability in the Built Environment
The construction sector plays an essential role in the global economy, using many exhaustible natural resources, most of which are renewable in low percentages. Moving towards a circular economy is essential because optimizing the consumption of materials and energy contributes to the development of an economic system that is independent, more competitive, and more resilient in the face of economic and social crises and various environmental factors. The current “take, make, and dispose” model of the economy is unsustainable, so a shift in thinking towards a circular economy is necessary. This circular economy is an economic model that minimizes the use of natural resources by selecting them intelligently and minimizing the use of raw materials, favoring the use of recyclable materials wherever possible while managing the resources used and maintaining and reusing them in the economic system for as long as possible. Circular Economy Implementation for Sustainability in the Built Environment emphasizes the need to implement a circular economy model in the built environment and how to create a system that optimizes the use of resources and construction materials while preserving their properties and values. Covering topics such as automobile industries, lean manufacturing, and operation strategy, this premier reference source is an excellent resource for engineers, construction managers, business leaders, urban planners, students and educators of higher education, researchers, and academicians.