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    ASSESSING OF WATER QUALITY INDEX USING GEOGRAPHIC INFORMATION SYSTEM IN KONYA CITY CENTER
    (HEALTH & ENVIRONMENT ASSOC, 2018) Almuslehi, Mushtaq Abdulameer Alwan; Dursun, Sukru; Alqaysi, Nahida Hameed Hamza
    The objective of this study is estimating the groundwater quality for Konya city center and mapping their spatial variation in terms of suitability for drinking purposes, about 184 groundwater wells data had been taken from Konya city municipality during 2014 for Konya city center that involving pH, electrical conductivity (EC), Turbidity, calcium (Ca2+), magnesium (Mg2+), chloride (Cl-), sulphate (SO42-), nitrate (NO3-), total alkalinity (TA) and total hardness (TH), and analyzed with reference to the World Health Organization (WHO) limits and (TS266) Turkish Standards, The geographic information system-based spatial distribution maps of different major parameters had been created by testing Geostatistical analyses within ArcGIS version 10.5 environment, the analyzed data was validated by the best-fitted models. The WQI values of the study area were found in the range of 27.28 and 72.99 that classified between good and poor water quality, about 93.413% of the total groundwater samples fall in the suitable limited for drinking water as good water quality, whereas 6.587% of the total groundwater samples get poor water quality.
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    ESTIMATING AIR POLLUTION QUALITY IN ISTANBUL CITY CENTRE BY GEOGRAPHIC INFORMATION SYSTEM
    (HEALTH & ENVIRONMENT ASSOC, 2016) Dursun, Sukru; Alqaysi, Nahida Hameed Hamza
    Air pollution in urban areas comes from a wide variety of sources, including industries, motor vehicles, and in winter due to use of poor quality coal for heating. Istanbul, which is the largest and most populated urban area, and the centre of industry, economics, finance and culture in Turkey, these causing increasing the atmospheric pollution in Istanbul, coal dominated energy structure is also one of the major causes of air pollution in this city. A study involving 28 stations in Istanbul city, monthly average of PM10, SO2, NO2, NO, NOx, CO and O-3 for 2015 was collected from the Government air quality measurement network, the data were interpolated using a geographic information system by IDW technique for each pollutant according to capability of GIS among air pollution modelling, where built model for average of pollutants for winter and summer seasons. The spatial and temporal results showed that PM10, NO and NOx concentrations increased in the winter because of heating coal, and in an industrial, and non-green areas such as Esenyurt, Yenibosna, Selimiye, Aksaray, Umraniye, atladikapi and Kagithane, and not within the Air Quality Index (AQI) of Turkey, while NO2 increased in summer (These gases form when fuel is burned at high temperatures, and come principally from motor vehicle exhaust and stationary sources such as electric utilities and industrial boilers). While concentrations of ozone, CO and SO2 did not reveal any significant change throughout the whole studied period.
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    MODELING OF EFFECTIVE TEMPERATURE FOR CENTRAL ANADOLIA REGION IN TURKEY BY UTILIZING ARCGIS
    (HEALTH & ENVIRONMENT ASSOC, 2017) Dursun, Sukru; Almuslehi, Mushtaq Abdulameer Alwan; Alqaysi, Nahida Hameed Hamza
    This study shows a method to evaluate effective temperature (ET) by developing model for assessing relation between monthly Average air temperature and relative humidity for the Central Anatolia Region in turkey utilizing geographic information system techniques, using spatial interpolation method (Inverse Distance Weighting (IDW)). Temperature and relative humidity data from 15 stations for 2016 collected in addition to their geographical coordinates. ET is one of the most popular indices that represents comfort index. The interpolation technique of IDW was applied to create maps of the temperature, relative humidity and effective temperature. The results show the comfort index indicated to be a cool disturbing in the winter months, comfortable in the July and August and ranged between cool annoying, cool and uncomfortable, and comfortable environment in the other months.
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    MULTIPLE LINEAR REGRESSION AND INVERSE DISTANCE WEIGHT (IDW) INTERPOLATION FOR SPATIAL ANALYSIS OF PM10 AND SO2 IN BURSA CITY, TURKEY
    (HEALTH & ENVIRONMENT ASSOC, 2018) Dursun, Sukru; Alqaysi, Nahida Hameed Hamza
    Air pollution is one of the most significant environmental problems in Bursa city. The aim of this paper is to investigate the spatial distribution of air pollutants such as sulfur dioxide (SO2) and particulate matter (PM10) by using IDW interpolation method and influence of meteorological conditions on the levels of air pollution based on seasonality data collected from online website during the period summer 2014 to winter 2017. Then comparing the results with Turkish Air Pollution standards, where PM10 concentration levels at most stations in two seasons are above the permissible limit as 48 mu g/m(3), while SO2 concentration is lower than the Turkish standards (20 mu g/m(3)) in most stations. Lastly, the main relationships were used to obtain a multiple linear regression equation linking PM10 and SO2 concentrations in summer and winter with meteorological parameters. Climatic variables also influenced as negative and positive on the PM10 and SO2 concentrations, differ from season to another as shown in the Table 1. Where best correlation between the pollutant concentration and meteorological parameters happened in the summer 2015 for PM10 (R-2 = 0.43) and in summer 2014 for SO2 (R-2 = 0.48).