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Sampling Plans

Sampling Plans

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...

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Updated: Jun 15, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

空气污染数据:通过人群感应平台收集的数据集.

Slave Temkov¹, Pance Cavkovski¹, Petre Lameski¹

¹Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, North Macedonia.

|June 13, 2025

概括

这项研究介绍了北马其顿斯科普耶 (Skopje) 的综合性空气污染数据集,这些数据是通过人群传感收集的. 这些数据有助于了解污染趋势,并为公共卫生战略提供信息.

关键词:

空气质量空气质量人群感应是人群感应.物联网平台物联网平台物联网平台的物联网.污染问题污染问题传感器网络是一个传感器网络.

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Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx

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科学领域:

环境科学环境科学
数据科学数据科学数据科学
城市规划城市规划

背景情况:

空气质量监测对公共卫生至关重要.
现有的数据集可能缺乏空间和时间分辨率.
群众传感为数据收集提供了一种新的方法.

研究的目的:

引入用于空气污染和噪音监测的高分辨率数据集.
为研究城市环境因素提供资源.
支持对空气质量和公共健康的研究.

主要方法:

利用了一个人群感知物联网 (IoT) 平台.
收集关于颗粒物 (PM2.5,PM10),气体 (NO2,O3,CO),气象参数和噪声水平的实时数据.
从2018年到2024年,在北马其顿斯科普耶的多个城市地点收集的数据.

主要成果:

编制了一个具有高空间和时间分辨率的广泛数据集.
该数据集包括各种环境参数,提供了对城市污染的整体观点.
数据跨越多年,使趋势分析成为可能.

结论:

该数据集是污染研究和预测的宝贵资源.
它支持对城市规划对空气质量影响的评估.
促进数据驱动的决策,改善公共卫生和环境政策.