调整优先事项:对城市固体废物管理的科学和政策前景进行比较分析
Miguel Rodrigues1, João Alexandre Antunes2, Vera Miguéis1
1Department of Industrial Engineering and Management, Faculty of Engineering of University of Porto, R. Roberto Frias, 4200-465, Porto, Portugal; INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, R. Roberto Frias, 4200-465, Porto, Portugal.
Waste management (New York, N.Y.)
|December 6, 2024
概括
分析科学文献和欧盟资助的项目揭示了城市固体废物 (MSW) 管理研究中的一致性. 有机会进一步研究废物预防和重金属开采等具体问题.
科学领域:
- 环境科学 环境科学
- 废物管理研究 废物管理研究
- 政策分析 政策分析
背景情况:
- 城市固体废物 (MSW) 管理面临着重大的经济,环境和社会挑战.
- 了解MSW研究和政策中占主导地位的主题对于可持续实践至关重要.
- 将科学研究与政策优先事项,特别是欧盟资金相协调至关重要.
研究的目的:
- 探索科学文献和欧盟资助的项目所涉及的关键MSW管理问题.
- 评估科学研究与MSW管理中的政策优先事项之间的一致性.
- 为科学界和欧盟作为主要资助者提供指导.
主要方法:
- 应用两个隐性迪里克莱特分配 (LDA) 模型来分析主题内容.
- 分析了两个不同的集体:科学文献和欧盟资助的项目文档.
- 测量科普库相似性的定量估计,以衡量科学与政策之间的协调.
主要成果:
- 科学界的研究主题与欧盟资助的项目主题之间观察到的总体一致性.
- 科学文献涵盖了各种各样的MSW管理主题.
- 欧盟资助的项目显示主题受欢迎程度的时间波动,重点是管理而不是预防.
结论:
- 科学界和政策制定者在很大程度上与MSW管理优先事项保持一致.
- 在诸如浸和重金属提取等领域发现了特定的研究缺口.
- 废物预防为未来欧盟资助的研究倡议提供了重大机会.
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
27
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
27
Environmental Applications of Microorganisms
1
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
1
Sampling Plans
167
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
167
Comparing the Survival Analysis of Two or More Groups
150
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
150
Manipulation and Analysis
19
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
19


