在墨西哥城的家庭中对可避免的食物浪费进行了定量分析
Zully Abigail Vite-Cortez1, Alejandro Islas-Maya1, Juan Carlos Alvarez-Zeferino1
1Universidad Autónoma Metropolitana, Mexico City, Mexico.
概括
墨西哥城的家庭每天产生731可避免的食物浪费. 水果,蔬菜和谷物是主要的贡献者,强调了有针对性的减少废物战略的必要性.
科学领域:
- 环境科学 环境科学
- 城市可持续性 城市可持续性
- 废物管理 废物管理
背景情况:
- 食物浪费给全球环境,社会和经济带来了重大挑战.
- 墨西哥城 (CDMX) 面临着特别严重的食物浪费问题,每年有数千食物被浪费.
- 有效的废物管理政策需要准确的关于食品废物产生和组成的数据.
研究的目的:
- 描述和量化墨西哥城的家庭食品浪费.
- 在CDMX中确定可避免与不可避免的食物浪费的比例.
- 在CDMX中为制定可持续废物管理政策提供数据.
主要方法:
- 在CDMX.16个市镇进行废物采样.
- 包括来自3个社会经济阶层的家庭,并在干旱和雨季进行抽样.
- 根据墨西哥标准对废物进行分类,并分析可避免的食物浪费比例.
主要成果:
- 在CDMX中,可避免的食物浪费占家庭垃圾的17.28%,每天共计731公.
- 水果,蔬菜,面包,蛋糕和谷物构成了可避免食物浪费的最大组成部分 (分别为43%和30%).
- 没有观察到与社会经济水平或季节相关的食物浪费的重大趋势.
结论:
- 食品浪费在CDMX是一个重大问题,需要立即采取行动.
- 实施预防,分离,回收策略和公共教育对于减少废物和循环经济原则至关重要.
- 该研究提供了关键数据,以在CDMX中为公共政策和可持续废物管理提供信息.
相关概念视频
01:25Statistical Methods for Analyzing Epidemiological Data
900
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
900
01:02Quantifying and Rejecting Outliers: The Grubbs Test
3.6K
Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
3.6K
01:12Quantitative Analysis
1.3K
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
1.3K
01:11Overview of Minitab
587
Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
587