Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Classifying Matter by Composition03:35

Classifying Matter by Composition

70.5K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
70.5K
Aggregates Classification01:29

Aggregates Classification

303
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
303
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

1.7K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.7K
Levels of Use of a GIS01:29

Levels of Use of a GIS

41
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
41
Sampling Plans01:23

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...
167
Gravimetry: Overview01:05

Gravimetry: Overview

4.9K
Gravimetric analysis is a quantitative method where the analyte is isolated and weighed directly or after conversion into a substance of known composition. Gravimetric analysis can be classified as precipitation, electrogravimetry, volatilization, and particulate gravimetry, based on the method used to isolate the analyte.
In precipitation gravimetry, the analyte is converted into a precipitate and weighed. For example, the silver content in a sample can be estimated by precipitating and...
4.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Coaxial Layered Fiber Spinning for Wind Turbine Blade Recycling.

ACS sustainable chemistry & engineering·2024
Same author

Elicitation and aggregation of multimodal estimates improve wisdom of crowd effects on ordering tasks.

Scientific reports·2024
Same author

Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning.

Frontiers in artificial intelligence·2022
查看所有相关文章

相关实验视频

Updated: Jun 4, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.1K

预测县级固体废物的组成.

Joshua T Grassel1, Adolfo R Escobedo2, Rajesh Buch3

  • 1North Carolina State University, Operations Research Graduate Program, 915 Partners Way, Raleigh, NC, 27606, USA.

Waste management (New York, N.Y.)
|December 18, 2024
PubMed
概括

本研究引入了一种新的两相方法,用于预测城市固体废物 (MSW) 的组成和数量. 这种方法通过提供详细的废物流估计来支持数据驱动的固体废物管理和循环经济.

关键词:
城市固体废物城市固体废物废弃物的表征 废弃物的表征废物的组成 废物的组成废物预测预测 废物预测

更多相关视频

Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
06:11

Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol

Published on: April 26, 2024

1.2K
The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties
09:06

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties

Published on: June 7, 2020

8.0K

相关实验视频

Last Updated: Jun 4, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.1K
Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
06:11

Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol

Published on: April 26, 2024

1.2K
The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties
09:06

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties

Published on: June 7, 2020

8.0K

科学领域:

  • 环境科学 环境科学
  • 废物管理科学 废物管理科学
  • 数据科学数据科学数据科学

背景情况:

  • 目前的固体废物管理 (SWM) 方法往往缺乏详细的废物成分数据.
  • 现有的模型通常将城市固体废物 (MSW) 分类为有限的类别或总和.
  • 过渡到循环经济需要准确的废物成分和数量的数据.

研究的目的:

  • 开发一种新的两阶段策略,用于预测MSW的组成和数量.
  • 为了促进SWM的数据驱动决策.
  • 通过综合废物估计,支持向循环经济过渡.

主要方法:

  • 一个两阶段的预测策略:首先是废物组成,然后是总量.
  • 利用公开可用的人口,经济和空间数据,以及废物采样报告.
  • 开发了一个最小绝对收缩和选择运算符 (LASSO) 回归模型,用于估计43个类别的MSW组成.

主要成果:

  • 拉索模型成功地估计了MSW的组成,而不是数量.
  • 这种新的方法可以预测数十种废物流,超越现有方法的局限性.
  • 案例研究表明,该模型能够在美国县级进行详细的废物估计.

结论:

  • 拟议的两阶段战略在废物数据估计方面取得了重大进展.
  • 这种方法提供了对有效的SWM和循环经济倡议至关重要的详细见解.
  • 该模型的灵活性和数据利用为改善废物管理实践铺平了道路.