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

Ratio Level of Measurement00:54

Ratio Level of Measurement

17.8K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
17.8K
Gravimetry: Overview01:05

Gravimetry: Overview

5.6K
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...
5.6K
Sampling Plans01:23

Sampling Plans

180
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...
180

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

Global groundwater contamination by geogenic fluoride.

Environmental geochemistry and health·2026
Same author

Development and implementation of a student-led, project-based, community health nursing clinical placement focused on health promotion for nursing students in Korea.

Journal of research in nursing : JRN·2026
Same author

Pilot-scale assessment of slag reactors for manganese removal from mine drainage.

Environmental geochemistry and health·2026
Same author

Biomass-Derived Hard Carbon Anodes for Sodium-Ion Batteries: Recent Advances in Synthesis Strategies.

Nanomaterials (Basel, Switzerland)·2025
Same author

Integrated environmental assessment framework for evaluating and managing nitrogen contamination in complex fractured aquifer systems.

Journal of environmental management·2025
Same author

Developing interventions in favor of infant safety among immigrant mothers in South Korea: A brief report.

Journal of public health research·2025

相关实验视频

Updated: Jun 25, 2025

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

11.9K

在构成性数据分析中使用同位数逻辑比来开发地下水污染指数.

Junseop Oh1, Kyoung-Ho Kim2, Ho-Rim Kim3

  • 1Department of Earth and Environmental Sciences, Korea University, Seoul, 02841, South Korea.

Scientific reports
|May 28, 2024
PubMed
概括
此摘要是机器生成的。

一个新的地下水污染指数 (GPI) 使用先进的统计方法来准确评估水质. 这种新的方法可以改善地下水资源的监测和管理,特别是在污染事件发生后.

关键词:
组成数据分析 (CoDa)地下水污染指数 (GPI) 是一个指数.同位数逻辑比 (ILR) 转换强大的主要组件分析 (RPCA)

更多相关视频

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

10.7K
Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

389

相关实验视频

Last Updated: Jun 25, 2025

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

11.9K
Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

10.7K
Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

389

科学领域:

  • 环境科学 环境科学
  • 水文地质学 水文地质学
  • 数据科学数据科学数据科学

背景情况:

  • 地下水质量评估对于环境保护和公共卫生至关重要.
  • 传统的统计方法往往无法解释水化数据的相对性质.
  • 评估疾病爆发等事件造成的污染需要强大的分析工具.

研究的目的:

  • 引入一个新的地下水污染指数 (GPI) 以加强水质评估.
  • 应用组合数据分析 (CoDa) 和强大的主要组件分析 (RPCA) 来开发GPI.
  • 解决传统方法在分析水化数据方面的局限性.

主要方法:

  • 利用了韩国地下水质量数据,该国受到2010-2011年疾病爆发的影响.
  • 应用CoDa来识别受影响和背景地下水之间的水化学差异.
  • 使用RPCA开发了GPI,同位数逻辑比 (ILR) 转换和规范化.

主要成果:

  • GPI有效地根据关键参数 (NH4+-N,Cl-,NO3--N) 区分受污染和未受污染的地下水.
  • 对政府标准的验证和接受者运营特征曲线分析证实了GPI的可靠性.
  • CoDa,特别是ILR转换,在克服传统的统计局限性方面被证明是必不可少的.

结论:

  • 新的GPI为地下水污染评估提供了更精确,更准确的方法.
  • 这种方法大大提高了地下水质量监测和管理策略.
  • 该研究强调了先进的统计技术在水文地质研究中的重要性.