Geochemical Mapping of Urban Areas

Author(s):  
Stefano Albanese ◽  
Domenico Cicchella ◽  
Annamaria Lima ◽  
Benedetto De Vivo
Author(s):  
Virgilija Gregorauskienė

In Lithuania geochemical mapping of urban areas was started in Vilnius city in 1985. Topsoil, stream sediments, snow cover, manufactory dust and other sampling media are used in ecogeochemical investigations. The aim of investigations is to detect sources of pollution, its geochemical properties and spread of its contamination. Furthermore, a sanitary assessment of urban soil is carried out on the basis of available geochemical data and the soil quality standard of Lithuania HN 60:2004. The soil contamination with heavy metals is estimated according to the highest allowable concentrations (HAC) and the total contamination index Zd which is related to the criteria of human health. At present the geochemical data on soil contamination in the areas of Vilnius, Panevëžys, Mažeikiai, Šiauliai, Alytus, Biržai, Pasvalys, Rokiškis, Kupiškis and other towns are in store of the geochemists of Geological Survey of Lithuania and Institute of Geology and Geography. The soil geochemical background values obtained by geochemical mapping of natural areas are always used for assessment of contaminated urban areas. Part of geochemical background and contamination data is published in Geochemical Atlas of Lithuania. Some geochemical data and soil contamination maps are in use of town municipalities on order and funds of which the geochemical investigations of urban areas were performed. However, geochemical investigations lag behind the planning, development and reclamation projects of urban areas, thus, new dwelling houses are often built on hazardous contaminated sites that may make a threat against human health.


1996 ◽  
Vol 22 (3) ◽  
pp. 167-174
Author(s):  
J A Cantrill ◽  
B Johannesson ◽  
M Nicholson ◽  
P R Noyce

2001 ◽  
Vol 60 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Holger Schmid

Cannabis use does not show homogeneous patterns in a country. In particular, urbanization appears to influence prevalence rates, with higher rates in urban areas. A hierarchical linear model (HLM) was employed to analyze these structural influences on individuals in Switzerland. Data for this analysis were taken from the Switzerland survey of Health Behavior in School-Aged Children (HBSC) Study, the most recent survey to assess drug use in a nationally representative sample of 3473 15-year-olds. A total of 1487 male and 1620 female students indicated their cannabis use and their attributions of drug use to friends. As second level variables we included address density in the 26 Swiss Cantons as an indicator of urbanization and officially recorded offences of cannabis use in the Cantons as an indicator of repressive policy. Attribution of drug use to friends is highly correlated with cannabis use. The correlation is even more pronounced in urban Cantons. However, no association between recorded offences and cannabis use was found. The results suggest that structural variables influence individuals. Living in an urban area effects the attribution of drug use to friends. On the other hand repressive policy does not affect individual use.


2017 ◽  
Vol 3 (3) ◽  
pp. 338-343
Author(s):  
Mohammad Didar Khan ◽  
Md. Ibrahim ◽  
Md. Mizanur Rahman Moghal ◽  
Dipti debnath ◽  
Asma Kabir ◽  
...  

Objective: The present epidemiological study was conducted with the objectives of providing an insight into the current use of antidiabetic medications to diabetics and hypertensive diabetics in urban areas and determining how the patient factors influence the prescribing of antidiabetic medications. Methodology: Data of patients of past two years were collected from Bangabandhu Sheikh Mujib Medical University (BSMMU) Hospital, Dhaka, Bangladesh. The details were entered in the structured patient profile form. Data were statistically analyzed using the Microsoft Excel 2007 software. Result: A total of 958 patient’s data were collected and analyzed of which 632 (65.97 %) were males and 326 (34.03 %) were females. These patients were further categorized based on their age. 330 patients (34.45 %) belonged to the age group 20 – 44 years, 504 (52.61 %) to the age group 45 – 65 years and 124 (12.94 %) to the age group 65 – 80 years. 684 (71.4%) patients out of the 958 patients studied were suffering from coexisting hypertension. Co-existing hypertension was found to be more prevalent in the age group 45 – 65 years (67.69%) and was found more in females (84.04%). Conclusion: Metformin was the oral hypoglycemic which was the highest prescribed. In hypertensive diabetics Metformin and Pioglitazone were most frequently prescribed drugs. Biguanides and Insulin were the most commonly prescribed antidiabetics. A combination of two or more drugs of different classes was prescribed to hypertensive diabetics. It is necessary to have an improved understanding of the etiology and pathophysiology of diabetes to focus on research efforts appropriately.


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