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This book focuses on environmental footprints that have attracted considerable interest and discussion within academia, policy makers and the public as a tool to assess anthropogenic effects on the environment. It begins with an overview which provides a starting point for understanding the concept of environmental footprints. On the basis of a thorough investigation into the theoretical and methodological aspects of selected environmental footprints that have been widely adopted, a unified framework for structuring, categorizing and integrating various footprint indicators is established. Furthermore, the book brings clarity to the relationship between footprint analysis and life cycle assessment, and challenges the isolation of environmental footprints and planetary boundaries. The findings provide novel insights into the development of environmental footprints for environmental impact assessment and environmental sustainability assessment.
Sustainable development. --- Climate change. --- Geobiology. --- Energy. --- Sustainable Development. --- Climate Change Management and Policy. --- Climate Change. --- Biogeosciences. --- Energy, general. --- Biology --- Earth sciences --- Biosphere --- Changes, Climatic --- Changes in climate --- Climate change --- Climate change science --- Climate changes --- Climate variations --- Climatic change --- Climatic changes --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Environmental aspects --- Climatic changes. --- Global environmental change
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This book focuses on environmental footprints that have attracted considerable interest and discussion within academia, policy makers and the public as a tool to assess anthropogenic effects on the environment. It begins with an overview which provides a starting point for understanding the concept of environmental footprints. On the basis of a thorough investigation into the theoretical and methodological aspects of selected environmental footprints that have been widely adopted, a unified framework for structuring, categorizing and integrating various footprint indicators is established. Furthermore, the book brings clarity to the relationship between footprint analysis and life cycle assessment, and challenges the isolation of environmental footprints and planetary boundaries. The findings provide novel insights into the development of environmental footprints for environmental impact assessment and environmental sustainability assessment.
Electromagnetism. Ferromagnetism --- Meteorology. Climatology --- Biogeography --- General ecology and biosociology --- Relation between energy and economics --- Environmental protection. Environmental technology --- energiebeheer (technologie) --- energiemanagement (economie) --- environment --- energiebeleid --- energie-economie --- biogeografie --- elektriciteit --- klimatologie --- milieutechnologie
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Electromagnetism. Ferromagnetism --- Meteorology. Climatology --- Biogeography --- General ecology and biosociology --- Relation between energy and economics --- Environmental protection. Environmental technology --- energiebeheer (technologie) --- energiemanagement (economie) --- environment --- energiebeleid --- energie-economie --- biogeografie --- elektriciteit --- klimatologie --- milieutechnologie
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Linear models (Statistics) --- Multivariate analysis --- 519.237 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- 519.237 Multivariate statistical methods --- Multivariate statistical methods
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This book seeks to model the possible emission trajectories and identify the feasible mitigation schemes for China to meet its climate commitments to peak emissions by 2030 and net zero emissions by 2060. In line with these ambitions, China has taken a number of measures to improve energy efficiency and energy structure in recent years.
Carbon dioxide mitigation --- Carbon offsetting --- Environmental policy
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Monte Carlo method --- Science --- Data processing --- Mathematical statistics --- Number theory. --- Probabilities. --- Computer mathematics. --- Statistics . --- Number Theory. --- Probability Theory and Stochastic Processes. --- Computational Mathematics and Numerical Analysis. --- Statistics and Computing/Statistics Programs. --- Computer mathematics --- Electronic data processing --- Mathematics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Number study --- Numbers, Theory of --- Algebra
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The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design. It discusses measures of uniformity, various construction methods of uniform designs, modeling techniques, design and modeling for experiments with mixtures, and the usefulness of the uniformity in block, factorial and supersaturated designs. Experimental design is an important branch of statistics with a long history, and is extremely useful in multi-factor experiments. Involving rich methodologies and various designs, it has played a key role in industry, technology, sciences and various other fields. A design that chooses experimental points uniformly scattered on the domain is known as uniform experimental design, and uniform experimental design can be regarded as a fractional factorial design with model uncertainty, a space-filling design for computer experiments, a robust design against the model specification, and a supersaturated design and can be applied to experiments with mixtures.
Experimental design. --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Statistics --- Analysis of means --- Analysis of variance --- Experiments --- Methodology --- Mathematical statistics. --- Statistics. --- Statistical Theory and Methods. --- Applied Statistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistics .
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The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design. It discusses measures of uniformity, various construction methods of uniform designs, modeling techniques, design and modeling for experiments with mixtures, and the usefulness of the uniformity in block, factorial and supersaturated designs. Experimental design is an important branch of statistics with a long history, and is extremely useful in multi-factor experiments. Involving rich methodologies and various designs, it has played a key role in industry, technology, sciences and various other fields. A design that chooses experimental points uniformly scattered on the domain is known as uniform experimental design, and uniform experimental design can be regarded as a fractional factorial design with model uncertainty, a space-filling design for computer experiments, a robust design against the model specification, and a supersaturated design and can be applied to experiments with mixtures.
Statistical science --- Mathematical statistics --- statistiek --- statistisch onderzoek
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