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Related Concept Videos

Sampling Plans01:23

Sampling Plans

312
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...
312

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Related Experiment Video

Updated: Oct 4, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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Urban configuration and PM2.5 concentrations: Evidence from 330 Chinese cities.

Luyao Wang1, Dongxiao Niu2, Hong Fan3

  • 1College of Information and Communication, National University of Defense Technology, Wuhan 430010, China.

Environment International
|February 12, 2022
PubMed
Summary

Reducing fine particulate matter (PM2.5) requires optimizing urban configuration. Decreasing the distance between residential and industrial areas is more effective than expanding these zones for cleaner air in cities.

Keywords:
PM(2.5) concentrationResidence–industry accessibilitySpatial configurationSustainable developmentUrban configurationUrban form

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Public Health

Background:

  • Rapid urbanization presents challenges to sustainable development, particularly in controlling fine particulate matter (PM2.5) concentrations.
  • Inefficient urban forms contribute to traffic congestion and elevated PM2.5 levels, necessitating a deeper understanding of urban composition and spatial configuration.
  • Existing research on urban form's impact on PM2.5 lacks consistent conclusions for practical environmental strategies.

Purpose of the Study:

  • To introduce a novel metric, 'urban configuration,' to assess the influence of urban composition and spatial arrangement on PM2.5 concentrations.
  • To investigate the relationship between different urban facility areas (residence, industry, public services) and PM2.5 levels.
  • To analyze the impact of spatial configuration, specifically residence-industry and residence-commerce accessibility, on PM2.5 concentrations.

Main Methods:

  • Utilized data from 330 Chinese cities to analyze urban compositions and their spatial configurations.
  • Developed and applied the 'urban configuration' measurement.
  • Compared distance-based and gravity-based accessibility indices to evaluate their influence on PM2.5.

Main Results:

  • Areas of residential and industrial facilities correlate positively with PM2.5, while public service facilities show a negative correlation.
  • Residence-industry accessibility is a critical factor influencing PM2.5 concentrations, surpassing residence-commerce accessibility.
  • Reducing the distance between residential and industrial areas yields a more significant reduction in PM2.5 than increasing the size of these areas.

Conclusions:

  • Synchronizing urban construction with spatial configuration optimization is crucial for sustainable urban expansion and PM2.5 reduction.
  • For Chinese cities, a 1% decrease in average residence-industry distance can offset the PM2.5 increase from a 7.52% rise in residential area.
  • The study offers practical strategies for policymakers to mitigate PM2.5 and achieve sustainable development goals through informed urban planning.