Air Masses and Weather Types: A Useful Tool for Characterizing Precipitation Chemistry and Wet Deposition

Calvo, Ana; Pont, Véronique; Olmo, F.J.; Castro, Amaya; Alados-Arboledas, L.; Vicente, Ana; Fernández‐Raga, María; Fraile, Roberto

doi:10.4209/aaqr.2012.03.0068

Cited by 29 publications

(22 citation statements)

References 130 publications

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“…Rainfall can wash out most of the pollutants in the atmosphere (Calvo et al, 2012) and thus also reduce the level of arsenic, and thus can be seen in the wet deposition fluxes calculated in the current study. Fig.…”

Section: Precipitation and Depositionmentioning

confidence: 83%

Atmospheric Arsenic Deposition in Chiayi County in Southern Taiwan

Lin

et al. 2013

Aerosol Air Qual. Res.

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Although arsenic contamination of underground water in southern Taiwan is well known, few studies examine atmospheric arsenic deposition in this area, which might be the major source of such pollution to the soil, water, and even underground water. This research focused on the atmospheric arsenic concentration, dry and wet depositions, and the As distribution around Chiayi County, located in the south of Taiwan. Eight sampling sites are used, both upwind and downwind of an area with heavy industrial and human activities. All samples were collected by a PS-1 high volume sampler at each site, pretreated by a digestion process, and further analyzed with an ICP-MS. The results show that the arsenic deposition flux ranged from 65.0 to 473 μg/m 2 -month in Chiayi County. This deposition flux has no significant seasonal variation, based on the multiple trend results obtained from pooling the dry and wet deposition data. The average dry deposition flux of As ranged from 34 to 161 μg/m 2 -month during the sampling year, and had the opposite trend to the wind speed. Additionally, the correlations between atmospheric arsenic concentration and PM levels were significant, supported by the low p-value (< 0.01) at a 99% confidence level. Meanwhile, the highly linear correlation between As and PM concentrations was also evaluated. The amount of precipitation was statistically correlated to the wet deposition flux (11.3-414 μg/m 2 -month with a p-value = 2 × 10 -7 and r-value = 0.9306. Furthermore, the composition of the As mass concentrations in ambient air were dominated by As (V) in both fall (66.4%) and winter (68.9%). According to the GIS spatial analysis of the As concentration in the dry season, from October to March, the As contribution of local emissions were not significant. Consequently, this study indicates that the atmospheric As around Chiayi County might be sourced from the upwind northern area, and mainly deposited through wet scavenging.

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Section: Precipitation and Depositionmentioning

confidence: 83%

Atmospheric Arsenic Deposition in Chiayi County in Southern Taiwan

Lin

et al. 2013

Aerosol Air Qual. Res.

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“…These indices are computed using sea-level pressure (SLP) values obtained for the 16 grid points distributed on a regular grid of 5, 6, 8 or 10 degrees. Results indicate that there is potential to improve the observation and prediction of temperature and the rainfall (Bower et al 2007, Calvo et al 2012, Lee and Sheridan 2012, Baltaci et al 2014, Kenawy et al 2014.…”

Section: Introductionmentioning

confidence: 94%

Improving global rainfall forecasting with a weather type approach in Japan

Vuillaume

Herath

2016

Hydrological Sciences Journal

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“…The same classification has been used before to study rainfall patterns and air pollution in the Iberian Peninsula (Trigo and DaCamara, 2000;Calvo et al, 2012;Fernandez-Gonzalez et al, 2012).…”

Section: Daily Cwt Classificationmentioning

confidence: 99%

Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

Monsalve

Tomás

Fraile

2013

Aerosol Air Qual. Res.

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This study considers the relationship between the risk of hospital admission due to respiratory diseases, the daily weather, and the air pollution conditions between 2000 and 2006. A synoptic climatological approach is used to investigate the links between weather types and all hospital admissions due to respiratory diseases in Castilla-La Mancha (CLM), Spain. The main circulation weather types (CWTs) were determined for winter and spring, the seasons with the highest percentage of hospital admissions, and the frequency distribution of these types was also analyzed. The study includes a summary of the main characteristics of the hospital admission series and their distribution over the study period of seven years, as well as the frequency distributions of the admissions classified by gender and age, for each season, month and day of the week. In addition, an admission index was used to compare CWTs and hospital admissions due to respiratory diseases. The results show distinctly different responses of daily respiratory disease admission rates (RD) to the eight CWTs identified in winter and in spring. In winter, three CWTs (southwesterly (SW), anticyclonic (A) and hybrid anticyclonic southwesterly (HASW)) present values 1.5 times above the average admission rates. In contrast, there are no significant differences in spring. Finally, the results of Principal Component Analysis applied to the daily series of meteorological parameters, atmospheric pollutants and morbidity data revealed that in winter the decrease in RD is related to increases in temperature and pressure. These results represent an important step in identifying reliable connections between weather-air pollutants and human health.

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Air Masses and Weather Types: A Useful Tool for Characterizing Precipitation Chemistry and Wet Deposition

Cited by 29 publications

References 130 publications

Atmospheric Arsenic Deposition in Chiayi County in Southern Taiwan

Atmospheric Arsenic Deposition in Chiayi County in Southern Taiwan

Improving global rainfall forecasting with a weather type approach in Japan

Influence of Meteorological Parameters and Air Pollutants onto the Morbidity due to Respiratory Diseases in Castilla-La Mancha, Spain

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