Health effect assessment of PM2.5 pollution due to vehicular traffic (case study: Isfahan)

One of the challenges in quantitative risk-benefit assessment (RBA) of foods is the choice of approach for health effect characterization to estimate the health impact of dietary changes. The purpose of health effect characterization is to describe an association between intake of a food or food component and a health effect in terms of a dose-response relationship. We assessed the impact of the choice of approach for health effect characterization in RBA in two case studies based on substitution of (i) white rice by brown rice and (ii) unprocessed red meat by vegetables. We explored this by comparing the dose-response relations linking a health effect with (i) a food component present in the food, (ii) a food based on non-specified substitution analyses, and (iii) a food based on specified substitution analyses. We found that the choice of approach for health effect characterization in RBA may largely impact the results of the health impact estimates. Conducting the calculations only for a food component may neglect potential effects of the food matrix and of the whole food on the diet-disease association. Furthermore, calculations based on associations for non-specified substitutions include underlying food substitutions without specifying these. Data on relevant specified substitutions, which could reduce this type of bias, are unfortunately rarely available. Assumptions and limitations of the health effect characterization approaches taken in RBA should be documented and discussed, and scenario analysis is encouraged when multiple options are available.

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Ecological rehabilitation effect assessment of soil and water conservation model—A case study of the upper reaches of Liangdang River,Changjiang Basin

CHINESE JOURNAL OF ECO-AGRICULTURE ◽

10.3724/sp.j.1011.2008.00192 ◽

2008 ◽

Vol 16 (1) ◽

Cited By ~ 1

Author(s):

Jing-Hu PAN

Keyword(s):

Water Conservation ◽

Soil And Water Conservation ◽

Ecological Rehabilitation ◽

Effect Assessment ◽

Conservation Model ◽

Soil And Water

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Site effect assessment using microtremor measurement, equivalent linear method, and artificial neural network (case study: Babol, Iran)

Arabian Journal of Geosciences ◽

10.1007/s12517-013-1201-1 ◽

2013 ◽

Vol 8 (3) ◽

pp. 1453-1466 ◽

Cited By ~ 28

Author(s):

Sadegh Rezaei ◽

Asskar Janalizadeh Choobbasti ◽

Saman Soleimani Kutanaei

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Linear Method ◽

Site Effect ◽

Effect Assessment ◽

Equivalent Linear ◽

Artificial Neural ◽

Microtremor Measurement ◽

Equivalent Linear Method

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Measuring air particulate matter in large urban areas for health effect assessment

Water Air & Soil Pollution ◽

10.1007/s11270-006-9146-6 ◽

2006 ◽

Vol 179 (1-4) ◽

pp. 43-55 ◽

Cited By ~ 28

Author(s):

S. M. Almeida ◽

M. M. Farinha ◽

M. G. Ventura ◽

C. A. Pio ◽

M. C. Freitas ◽

...

Keyword(s):

Particulate Matter ◽

Urban Areas ◽

Health Effect ◽

Air Particulate Matter ◽

Effect Assessment ◽

Air Particulate

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Behavior of the Average Concentrations As Well As Their PM10 and PM2.5 Variability in the Metropolitan Area of Lima, Peru: Case Study February and July 2016

International Journal of Environmental Science and Development ◽

10.18178/ijesd.2021.12.7.1341 ◽

2021 ◽

Vol 12 (7) ◽

pp. 204-213

Author(s):

Reátegui-Romero Warren ◽

F. Zaldivar-Alvarez Walter ◽

Pacsi–Valdivia Sergio ◽

R. Sánchez-Ccoyllo Odón ◽

E. García-Rivero Alberto ◽

...

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Relative Humidity ◽

Metropolitan Area ◽

Vehicular Traffic ◽

Northern Area ◽

The North ◽

Pm10 And Pm2.5 ◽

Traffic Behavior

This research focused on analyzing the behavior of the hourly average concentrations of PM10 and PM2.5 in relation to vehicular traffic, as well as the effect of relative humidity on these concentrations. Measurements of hourly particulate matter concentrations were recorded by the National Meteorology and Hydrology Service of Peru (SENAMHI) at five surface air quality stations. The profiles of PM10 concentrations are related to traffic behavior, showing high levels of concentrations at peak hours, while the PM2.5 profiles are flatter and better related to traffic in February (summer). The decrease in relative humidity between 80 to 65% in the mornings has a greater effect on the increase in PM10 and PM2.5 concentrations in February than in July (winter), and the increase in relative humidity between 65 to 80 % in the afternoon, it has a greater effect on the decrease in the concentration of PM2.5 in February than in July. The air quality in the north (PPD and CRB stations) and east (SJL station) of the Metropolitan Area of Lima (MAL) are the most polluted. The factors that relate PM10 concentrations with the Peruvian standard in February at these stations were 2.79, 1.78 and 1.26, and in July 2.74, 1.28 and 1.36 respectively. The highest and lowest variability of PM10 and PM2.5 in February and July occurred in the northern area (PPD and SMP stations).

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