Mevlut Uyan

Spatial and temporal groundwater level variation geostatistical modeling in the city of Konya, Turkey.

Groundwater is one of the most important resources used for drinking and utility and irrigation purposes in the city of Konya, Turkey, as in many areas. The purpose of this study is to evaluate spatial and temporal changes in the level of groundwater by using geostatistical methods based on data from 91 groundwater wells during the period 1999 to 2003. Geostatistical methods have been used widely as a convenient tool to make decisions on the management of groundwater levels. To evaluate the spatial and temporal changes in the level of the groundwater, a vector-based geographic information system software package, ArcGIS 9.1 (Environmental Systems Research Institute, Redlands, California), was used for the application of an ordinary kriging method, with cross-validation leading to the estimation of groundwater levels. The average value of variogram (spherical model) for the spatial analysis was approximately 2150 m. Results of ordinary kriging for groundwater level drops were underestimated by 17%. Cross-validation errors were within an acceptable level. The kriging model also helps to detect risk-prone areas for groundwater abstraction.

Determination of agricultural soil index using geostatistical analysis and GIS on land consolidation projects

Land consolidation (LC) is a technical-agrarian process of land parcels rearrangement.One of the most important steps of LC projects is land reallocation studies.Reallocation quantity depends on the agricultural land gradation.The purpose: determine and evaluate the agricultural SI maps for LC using geostatis. Land consolidation (LC) is a technical process for agricultural parcels rearrangement according to developing agricultural technology and a gate for sustainable rural development. The success of LC projects depends on the correct determination of soil index (SI) for each of the agricultural parcel. SI values for all study area are determined by interpolation methods using observed SI plots. The spatial analysis based on the kriging method is a convenient and strong way for the estimation of the unknown points from the known points.The purpose of this study was to determine and evaluate the agricultural SI using ordinary kriging with GIS technology for LC projects. Spatial continuity of SI values was calculated using an experimental variogram. The performance of six models (Circular, Spherical, Tetraspherical, Pentaspherical, Exponential, Gaussian) have been compared. Spatial structure of SI values was better explained using exponential models. Nugget-sill rate can be used in the classification of the spatial dependency. The nugget-sill ratio was showed high dependency with 0.21. The average range of variogram (exponential model) for the spatial analysis is about 5815m. Results of ordinary kriging for SI values were underestimated by 11%. The estimations obtained for SI were represented in a map. The results of the ordinary kriging based SI values were compared with the results of the prepared SI map by classical methods for some agricultural parcels.

Social texture map and Social Information Center design and integration for social welfare in the city of Konya, Turkey

Metropolitan municipalities are responsible for social services in Turkey. This study is built on two main points that affect each other: (1) the creation of a social texture map with the help of Geographic Information Systems (GIS) and (2) the establishment of a Social Information Center (SIC) in the city of Konya, Turkey, within the scope of Konya Metropolitan Municipality. The SIC Project includes the relation of the local government services to the public and can be described as an important project. As the scope of this project is conceived on a model scale of Konya Province, it includes important steps where inferences can be made on the scale of Turkey.