Sürdürülebilir Kalkınma Amaçları
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- MakaleAçık Erişim2023Scopus SJRQ1Evaluation of Groundwater Vulnerability in the Upper Kelkit Valley (Northeastern Turkey) Using DRASTIC and AHP-DRASTICLu Models
Yıldırım, Ümit
This study aimed to investigate groundwater vulnerability to pollution in the Upper Kelkit Valley (NE Turkey). For this purpose, vulnerability index maps were created using the generic DRASTIC and AHP-DRASTICLu models. The latter model was suggested by adding a parameter to the DRASTIC model and weighting its parameters with the analytical hierarchy process with the GIS technique. The results showed that areas with high and very high vulnerabilities are concentrated around the Kelkit Stream, which flows from east to west in the central part of the study area. In contrast, areas with low and very low vulnerability classes are located in the northern and southern parts of the study area. To validate the model results, a physicochemical characterization of groundwater samples and their corresponding vulnerability index values were statistically compared using the Spearman correlation method. In addition, the single-parameter sensitivity method was applied to analyze the models’ sensitivities. Results revealed a stronger correlation between the vulnerability index values of the AHP-DRASTICLu model (compared to the DRASTIC model) in terms of sulfate (R2 = 0.75) and chloride (R2 = 0.76), while there was a slightly weaker correlation for the electrical conductivity (R2 = 0.65) values of the groundwater samples. Sensitivity analysis indicated that the vadose zone, aquifer media, and land use are the most influential parameters responsible for the highest variation in the vulnerability index. Generally speaking, the results indicated that the AHP-DRASTICLu model performs better than the DRASTIC model for investigating groundwater vulnerability to pollution in the Upper Kelkit Valley.
AtıfScopus9WoS5OpenAlex9İncele
- MakaleYalnız künye2021MORPHOMETRIC ANALYSIS TO INFER HYDROLOGICAL BEHAVIOUR OF CORUH RIVER BASIN (NORTHERN TURKEY) USING GIS TECHNIQUE
Yildirim, Umit
Morphometric analysis is a very practical approach for evaluating hydrological processes for watersheds. The combination of morphometric, geological, and geomorphological characteristics of the river basin helps to gain further insights in forecasting hydrological phenomena (such as flooding, soil erosion, and groundwater potential). In this study, the morphometric analysis of the Coruh River Basin was conducted using GIS to establish effective water management. Firstly, the basic morphometric parameters (basin area, basin length, basin perimeter, stream order, stream number, and total stream length) were calculated for both CRB and its subbasins. Then, characteristic morphometric parameters (drainage density, drainage texture, form factor, length of the overland flow, topographic wetness index, and stream power index) were determined. Results showed that the infiltration capacity of the subsurface material was low, and the surface runoff was slow in the subbasins located close to the CRB's outlet. Therefore, these subbasins are more sensitive to flooding, erosion, and landslides compared to others. Soil erosion and thus sediment loss is higher in 1st, 2nd, 3rd, and 5th subbasins, and the groundwater potential is higher in headwater areas of the basin. This study revealed that the GIS-based morphometric analysis is beneficial to implement water management tool at the watershed scale.
AtıfWoS1İncele
- MakaleAçık Erişim2021Scopus SJRQ1Identification of groundwater potential zones using gis and multi-criteria decision-making techniques: A case study upper coruh river basin (ne Turkey)
Yıldırım, Ümit
In this study, geographic information system (GIS)-based, analytic hierarchy process (AHP) techniques were used to identify groundwater potential zones to provide insight to decisionmakers and local authorities for present and future planning. Ten different geo-environmental factors, such as slope, topographic wetness index, geomorphology, drainage density, lithology, lineament density, rainfall, soil type, soil thickness, and land-use classes were selected as the decision criteria, and related GIS tools were used for creating, analysing and standardising the layers. The final groundwater potential zones map was delineated, using the weighted linear combination (WLC) aggregation method. The map was spatially classified into very high potential, high potential, moderate potential, low potential, and very low potential. The results showed that 21.5% of the basin area is characterised by high to very high groundwater potential. In comparison, the very low to low groundwater potential occupies 57.15%, and the moderate groundwater potential covers 21.4% of the basin area. Finally, the GWPZs map was investigated to validate the model, using discharges and depth to groundwater data related to 22 wells scattered over the basin. The validation results showed that GWPZs classes strongly overlap with the well discharges and groundwater depth located in the given area.
AtıfScopus65WoS52İncele

