Chapter title |
Human Exposure Assessment for Air Pollution
|
---|---|
Chapter number | 3 |
Book title |
Ambient Air Pollution and Health Impact in China
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-981-10-5657-4_3 |
Pubmed ID | |
Book ISBNs |
978-9-81-105656-7, 978-9-81-105657-4
|
Authors |
Bin Han, Li-Wen Hu, Zhipeng Bai, Han, Bin, Hu, Li-Wen, Bai, Zhipeng |
Abstract |
Assessment of human exposure to air pollution is a fundamental part of the more general process of health risk assessment. The measurement methods for exposure assessment now include personal exposure monitoring, indoor-outdoor sampling, mobile monitoring, and exposure assessment modeling (such as proximity models, interpolation model, air dispersion models, and land-use regression (LUR) models). Among these methods, personal exposure measurement is considered to be the most accurate method of pollutant exposure assessment until now, since it can better quantify observed differences and better reflect exposure among smaller groups of people at ground level. And since the great differences of geographical environment, source distribution, pollution characteristics, economic conditions, and living habits, there is a wide range of differences between indoor, outdoor, and individual air pollution exposure in different regions of China. In general, the indoor particles in most Chinese families comprise infiltrated outdoor particles, particles generated indoors, and a few secondary organic aerosol particles, and in most cases, outdoor particle pollution concentrations are a major contributor to indoor concentrations in China. Furthermore, since the time, energy, and expense are limited, it is difficult to measure the concentration of pollutants for each individual. In recent years, obtaining the concentration of air pollutants by using a variety of exposure assessment models is becoming a main method which could solve the problem of the increasing number of individuals in epidemiology studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 13% |
Researcher | 5 | 8% |
Other | 4 | 7% |
Student > Master | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 4 | 7% |
Unknown | 33 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 8 | 13% |
Medicine and Dentistry | 4 | 7% |
Chemical Engineering | 2 | 3% |
Nursing and Health Professions | 2 | 3% |
Computer Science | 2 | 3% |
Other | 7 | 11% |
Unknown | 36 | 59% |