Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
Measurement of Air Content in Concrete01:23

Measurement of Air Content in Concrete

Air content measurement in concrete is critical for ensuring structural integrity and durability of concrete structures, especially in environments prone to severe weather conditions. Accurate air content analysis optimizes concrete's resistance to freeze-thaw cycles and enhances its workability and strength. Several methods are standardized under ASTM guidelines to measure the air content in fresh concrete, each suitable for different concrete types and conditions.
The pressure method,...
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An Illumination-Assisted Flexible Self-Powered Energy System Based on a Li-O<sub>2</sub> Battery.

Angewandte Chemie (International ed. in English)ยท2019
Same author

Range of motion and orientation of the lumbar facet joints in vivo.

Spineยท2009
Same author

[Silencing of COX-2 in nasopharyngeal carcinoma cells with a shRNAmir lentivirus vector].

Nan fang yi ke da xue xue bao = Journal of Southern Medical Universityยท2009
Same author

The risk of melamine-induced nephrolithiasis in young children starts at a lower intake level than recommended by the WHO.

Pediatric nephrology (Berlin, Germany)ยท2009
Same author

Adult scoliosis in patients over sixty-five years of age: outcomes of operative versus nonoperative treatment at a minimum two-year follow-up.

Spineยท2009
Same author

Automatic cortical sulcal parcellation based on surface principal direction flow field tracking.

Information processing in medical imaging : proceedings of the ... conferenceยท2009

Related Experiment Video

Updated: Jul 10, 2026

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

[Correlation between dust fall and TSP from construction sites].

Gang Tian1, Jian-min Li, Gang Li

  • 1Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China. tg-iep@vip.163.com

Huan Jing Ke Xue= Huanjing Kexue
|November 10, 2007
PubMed
Summary

This study found a linear correlation between dust fall and total suspended particulates (TSP) at construction sites in Beijing. The relationship is influenced by distance from the dust source, with closer sites showing stronger correlations.

More Related Videos

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
05:45

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Jul 10, 2026

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
05:45

Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions

Published on: January 7, 2019

Area of Science:

  • Environmental Science
  • Air Quality Monitoring
  • Construction Dust Emissions

Context:

  • Construction activities are a significant source of air pollution, particularly total suspended particulates (TSP).
  • Understanding the relationship between dust fall and TSP is crucial for effective air quality management in urban environments like Beijing.
  • Field measurements were conducted at construction sites to gather data on dust fall and TSP levels.

Purpose:

  • To investigate and quantify the correlation between dust fall and TSP originating from construction sites.
  • To develop a predictive model for TSP based on dust fall measurements.
  • To analyze the influence of monitoring site distance and construction phases on this correlation.

Summary:

  • Statistical analysis of field data revealed a strong linear correlation between dust fall and TSP from construction fugitive dust.
  • A specific function, c(TSP) = 11.6 x c(DF), was established to describe the relationship between TSP and dust fall at construction site boundaries.
  • Correlation coefficients are significantly affected by the distance between the monitoring site and the dust source, increasing proportionally with distance.

Impact:

  • Provides a practical method for estimating TSP levels using dust fall measurements at construction sites.
  • Informs regulatory bodies and construction managers on pollution control strategies.
  • Highlights the importance of monitoring site location in assessing construction-related air pollution.