In agricultural production planning; compiling the data correctly, and using and interpreting the data precisely have strategic importance. This study aims, it is aimed to develop a model that can evaluate the suitability of the Lower Kelkit Basin for wheat farming by using the Analytical Hierarchy Process (AHP) and current GIS technologies. In the study, weight values of seven different criteria of topography (slope, aspect) and soil (texture, organic matter (OM), CaCO3, EC, pH) were calculated with AHP. These weight values and standardized criteria maps were combined within the ArcGIS Weighted Overlay tool and the result maps were created according to the FAO suitability index. According to these maps, 54% of the Lower Kelkit Basin was modeled as unsuitable (N) for wheat, 22% as moderately suitable (S2), and 24% as highly suitable (S1). In addition to all these, an editable and updatable ArcGIS model tool was also produced as a result of the study. Our results indicated that AHP and GIS are powerful and effective tools that can be used in land suitability modeling.

Assessing available water and land for irrigation are important for planning their use. In the watershed, stream flows from some of the rivers are not known and potential irrigable areas have not been identified. By delineating watershed boundary, irrigation suitability factors such as soil type, slope, land cover/use, and distance from the water supply were classified based on the FAO guideline for land evaluation in to S1, S2, S3 and N suitability classes independently. The irrigation potential suitability analysis of soil, slope, land cover/use and Euclidean distance indicates that 55.1 %, 95.6 %, 88.6% and 93.7% respectively are in the range of highly to marginally suitable. By weighted overlay analysis, total surface irrigation suitability potential of the study area is 54.6%, from this, the potential irrigable land obtained by multi_ criteria analysis has 45.9%. The total available flow above abstraction site is 335.7m3/s or 2.9-million-meter cube (MMC) annually.

Marketplace waste collection is one of the crucial services provided by the district municipalities in Turkey. A significant amount of food waste is periodically collected from marketplaces. However, an important opportunity for recycling and mitigation climate change is missed because these waste are sent to landfills. Composting, one of the waste management technologies applied to organic waste to reduce greenhouse gas emissions and produce compost, is often preferred for the management of marketplace waste. This study aims to determine suitable locations for compost facilities to manage marketplace waste with the help of GIS considering economic, environmental, and topographic factors in Izmir, Turkey. There are 199 marketplaces in Izmir and each has at least one market a week. Each marketplace was weighted by means of population served by using location-allocation analysis since the amount of waste collected from the marketplaces is not known. First, an exclusion analysis was performed to remove limited use areas. Then, a preference analysis was performed. Factors affecting plant site selection process for composting marketplace waste, including marketplace locations and weights, were determined. Since all factors do not have equal importance, the analytical hierarchy process was used to determine weights for each factor based on their influence. The study area was spatially evaluated for each preference factor and a suitability map was created for each factor. Finally, a high-resolution final suitability map was obtained by combining each factor’s suitability map along with their weights. Areas with a suitability index greater than 80% have been defined as suitable areas for compost facility installation. The results indicate that there are 323 potential locations suitable for compost facilities in Izmir.