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Quantifying Fish Swimming Behavior in Response to Acute Exposure of Aqueous Copper Using Computer Assisted Video and Digital Image Analysis
Published on: February 26, 2016
Exploratory data analysis of the multilevel anthropogenic copper cycle.
T E Graedel1, M Bertram, A Kapur
1Center for Industrial Ecology, School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut 06511, USA. thomas.graedel@yale.edu
Environmental Science & Technology
|March 5, 2004
Summary
Exploratory data analysis (EDA) reveals global copper stocks and flows. Most countries accumulate copper, with fabrication rates poorly matching extraction, and landfilling is half the discard rate.
Area of Science:
- Material Flow Analysis
- Resource Management
- Environmental Science
Background:
- Understanding the global copper cycle is crucial for sustainable resource management.
- Previous analyses often lacked a comprehensive, multilevel spatial perspective.
- Anthropogenic stocks and flows of copper represent a significant global material cycle.
Purpose of the Study:
- To analyze the contemporary cycle of copper stocks and flows using exploratory data analysis (EDA).
- To examine copper cycles at country, regional, and global spatial levels.
- To identify key patterns and correlations within the copper lifecycle.
Main Methods:
- Employed exploratory data analysis (EDA) for material flow analysis.
- Analyzed data across three spatial levels: country (56 entities), eight world regions, and the global level.
- Examined distributions, correlations, and rates of copper extraction, fabrication, use, and disposal.
Main Results:
- EDA is effective for multilevel material flow analysis.
- Country-level copper stock and flow data exhibit highly skewed distributions.
- Fabrication rates poorly correlate with extraction rates; most countries add copper to stock.
- Rates of copper addition to stock correlate with its entry into use, especially in developing regions.
- Regional copper landfilling is estimated at half the discard rate.
- Statistical distributions show decreasing standard deviations at later life stages.
Conclusions:
- Copper stocks and flows demonstrate complex, spatially varied patterns.
- The decoupling of extraction and fabrication highlights global trade dynamics.
- Accumulation of copper in stock and regional development significantly influence flow patterns.
- Further research is needed to refine estimates of copper disposal and landfilling.
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