Browsing by Author "Aksoy, N"

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Estimation groundwater total recharge and discharge using GIS-integrated water level fluctuation method: a case study from the Alasehir alluvial aquifer Western Anatolia, Turkey
    Simsek, C; Demirkesen, AC; Baba, A; Kumanlioglu, A; Durukan, S; Aksoy, N; Demirkiran, Z; Hasözbek, A; Murathan, A; Tayfur, G
    The estimation of groundwater recharge is an essential process for hydrogeological study. Realistic determination approach is crucial for assessing groundwater potential in an aquifer system and estimating of groundwater levels and/or changes in dry periods. Based on these matters, we employ a GIS-integrated groundwater level fluctuation method to determine the groundwater recharge for a hydrological period in the Alasehir alluvial aquifer (W. Anatolia). The method basically takes into account both increasing and decreasing of the groundwater levels due to the recharge and discharge mechanisms in the aquifer. In this study, 16 pumping and monitoring wells were drilled with a total depth of 1300 m, and water level data loggers were installed into the monitoring wells to determine the groundwater level changes. The spatial distribution of the monthly groundwater level change map was multiplied by the aquifer storage distribution map and then the accurate water volume is calculated by using the 3-D spatial analysis. According to our evaluation in the aquifer, positive volume change of the groundwater is 187 hm(3) in a year, which is considered as a recharge value of groundwater. It is concluded that the GIS-integrated water table fluctuation method gave rise to estimate the total recharge amount of the groundwater in the Alasehir aquifer. The total groundwater recharge indicates that total inflow in the aquifer from precipitation, leakage from surface water and irrigation waters. It can be stated that the recharge estimation of groundwater in a surficial aquifer, like the Alasehir aquifer, is fairly easy using the GIS-integrated water table fluctuation method.
  • No Thumbnail Available
    Item
    A nationwide multicentre study in Turkey for establishing reference intervals of haematological parameters with novel use of a panel of whole blood
    Ozarda, Y; Ichihara, K; Bakan, E; Polat, H; Ozturk, N; Baygutalp, NK; Taneli, F; Guvenc, Y; Ormen, M; Erbayraktar, Z; Aksoy, N; Sezen, H; Demir, M; Eskandari, G; Polat, G; Mete, N; Yuksel, H; Vatansev, H; Gun, F; Akin, O; Ceylan, O; Noyan, T; Gozlukaya, O; Aliyazicioglu, Y; Kahraman, S; Dirican, M; Tuncer, GO; Kimura, S; Eker, P
    Introduction: A nationwide multicentre study was conducted to establish well-defined reference intervals (Rls) of haematological parameters for the Turkish population in consideration of sources of variation in reference values (RVs). Materials and methods: K2-EDTA whole blood samples (total of 3363) were collected from 12 laboratories. Sera were also collected for measurements of iron, UIBC, TIBC, and ferritin for use in the latent abnormal values exclusion (LAVE) method. The blood samples were analysed within 2 hours in each laboratory using Cell Dyn and Ruby (Abbott), LH780 (Beckman Coulter), or XT-2000i (Sysmex). A panel of freshly prepared blood from 40 healthy volunteers was measured in common to assess any analyser-dependent bias in the measurements. The SD ratio (SDR) based on ANOVA was used to judge the need for partitioning RVs. Rls were computed by the parametric method with/without applying the LAVE method. Results: Analyser-dependent bias was found for basophils (Bas), MCHC, RDW and MPV from the panel test results and thus those Rls were derived for each manufacturer. Rls were determined from all volunteers' results for WBC, neutrophils, lymphocytes, monocytes, eosinophils, MCV, MCH and platelets. Gender-specific Rls were required for RBC, haemoglobin, haematocrit, iron, UIBC and ferritin. Region-specific Rls were required for RBC, haemoglobin, haematocrit, UIBC, and TIBC. Conclusions: With the novel use of a freshly prepared blood panel, manufacturer-specific Rls' were derived for Bas, Bas%, MCHC, RDW and MPV. Regional differences in Rls were observed among the 7 regions of Turkey, which may be attributed to nutritional or environmental factors, including altitude.