5 research outputs found

    Municipal solid waste landfill site selection for the city of Sanliurfa-Turkey: an example using MCDA integrated with GIS

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    A municipal solid waste (MSW) management system needs solid waste management (SWM) techniques where the presence of a sanitary landfill is vital. One of the most important issues of sanitary landfilling is to locate the facility to an optimal location. Despite the versatility and case-dependent nature of conventional expert-based site selection procedures, the number of sites to be chosen increases with increased population forcing a number of constraints. Consequently, constraints and environmental regulations mechanically mask unsuitable areas, leaving very little areas to be assessed. This turns the situation into a challenging issue for a geographical information system (GIS) used with multi-criteria decision analysis (MCDA), to select optimal site

    Kebab restaurant workers; A Risky Business

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    28th International Congress of the European-Respiratory-Society (ERS) -- SEP 15-19, 2018 -- Paris, FRANCEWOS: 000455567101270…European Respiratory So

    The relationship between particulate matter and childhood respiratory complaints and peak expiratory flows in Harran agricultural area

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    Background. In recent years, many studies have evaluated the increasing incidence of asthma and chronic respiratory diseases among children living close to rural areas with pesticide application. Pesticide exposure in 266 children (126 girls and 140 boys) in Sanliurfa, a cotton-producing province in Turkey, was explored in this work. Four different villages spread over 40 km(2) were included. Methods. Measurements of peak expiratory flow (PEF) in 266 children were conducted in late June, before intensive pesticide applications in the cotton-producing fields. The measurements were repeated for 72 of 266 children after pesticide application in late August. PEF, particulate matter with diameter less than 2.5 mu m (PM2.5), particulate matter with diameter less than 10 mu m (PM10), temperature, humidity, and wind speed were measured. Results. After pesticide application, mean PM2.5 and PM10 values were significantly increased compared to before pesticide application (p < 0.001 for both parameters). After pesticide exposure, nasal discharge, sneezing, burning and itching in the eyes, cough, sputum production, wheezing, shortness of breath and chest tightness were significantly increased (p < 0.001). The mean PEF value was demonstrated to decrease significantly after pesticide application (p < 0.001). Moreover, significant negative correlations were noted between PEF and PM10 and between PEF and PM2.5 (p < 0.001). Conclusions. Intensive pesticide application causes respiratory dysfunction and increased respiratory complaints in children living near the affected agricultural areas, and impacts quality of life adversely. The results of this work can be used to develop an early warning system and methods to prevent respiratory disorders in children residing in the study area.Turkish Thoracic SocietyThe authors wish to express their thanks to the Turkish Thoracic Society for providing financial support for this work.WOS:0006461794000102-s2.0-85105220171PubMed: 3392911

    Municipal solid waste landfill site selection for the city of Şanliurfa-Turkey: an example using MCDA integrated with GIS

    No full text
    A municipal solid waste (MSW) management system needs solid waste management (SWM) techniques where the presence of a sanitary landfill is vital. One of the most important issues of sanitary landfilling is to locate the facility to an optimal location. Despite the versatility and case-dependent nature of conventional expert-based site selection procedures, the number of sites to be chosen increases with increased population forcing a number of constraints. Consequently, constraints and environmental regulations mechanically mask unsuitable areas, leaving very little areas to be assessed. This turns the situation into a challenging issue for a geographical information system (GIS) used with multi-criteria decision analysis (MCDA), to select optimal site
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