Journals / Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi / 2026 / Cilt: 17 Sayı: 1

GIS-Based IDW Mapping of Soil Index Properties: A Case Study of Elazığ Center

Sondaj Verilerine Dayalı Olarak Zemin Sınıfları, Atterberg Limitleri ve Su Muhtevası için CBS Tabanlı IDW Mekânsal Tahmin Haritalarının Oluşturulması: Elazığ İli Merkezi Örneği

Bahadır Karabaş(İNÖNÜ ÜNİVERSİTESİ)0000-0003-0416-9121
Nurullah Akbulut(Federal Waterway Engineering and Research Institute)0000-0002-4280-1581
Onur Demirtaş(Ministry of National Defence,)0000-0001-5621-3652
Pages
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Publication Date
2026-03-27
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Overall, the distribution indicates predominantly low to medium water content, and the groundwater potential of the study area is not considered rich.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, soil analyses based on the Unified Soil Classification System (USCS), Atterberg limits, water content values, and groundwater level parameters were carried out for a 133.65 m² study area using a geographic information system (GIS).
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Key Findings & Data:For this purpose, selected borehole data from a total of 210 boreholes located in the city center of Elazığ were used, and GIS-based model prediction maps were generated using the Inverse Distance Weighting (IDW) method.
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Conclusion & Impact:Overall, the distribution indicates predominantly low to medium water content, and the groundwater potential of the study area is not considered rich.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:CBS · USCS · Atterberg Limitleri

Abstract

In this study, soil analyses based on the Unified Soil Classification System (USCS), Atterberg limits, water content values, and groundwater level parameters were carried out for a 133.65 m² study area using a geographic information system (GIS). For this purpose, selected borehole data from a total of 210 boreholes located in the city center of Elazığ were used, and GIS-based model prediction maps were generated using the Inverse Distance Weighting (IDW) method. As a result, it was modeled that, within the study area, ML, GM, and CL soil classes are dominant at shallow depths (1.5–4.5 m), GM occurs together with MH at intermediate depths (7.5–9 m), and ML, SM, and GM types become dominant again at deeper levels (15 m). In addition, it was modeled that water content values of 11–20% are dominant across the area, while other ranges (0–10%, 21–30%, and 31–44%) occur at varying proportions at different depths. Overall, the distribution indicates predominantly low to medium water content, and the groundwater potential of the study area is not considered rich. According to the liquid limit, plastic limit, and plasticity index values, two distinct soil zones were identified, as demonstrated by the IDW-based model prediction maps.

Özet

Bu çalışmada, Elazığ ili merkezindeki 210 adet sondaj verilerinden konuya yönelik belirli sayılardaki sondaj verileri kullanılarak birleşik zemin siniflandirma sistemi esaslarınında zemin analizleri, atterberg limitleri analizi, su muhtevası içerikleri, yer altı su seviyesi parametreleri coğrafi bilgi sistemi kullanılarak 133,65 m2’lik çalışma alanı için görsel analizleri CBS temelli Inverse Distance Weighting Method (IDW)una dayalı model tahmin haritalar oluşturularak yapılmıştır. Sonuç olarak, çalışma alanında sığ derinliklerde (1.5–4.5 m) ML, GM ve CL sınıfları baskınken, orta derinliklerde (7.5–9 m) GM ile birlikte MH sınıfının yaygınlaştığı, daha derin seviyelerde (15 m) ise ML, SM ve GM türlerinin yeniden hakim hale geldiği tahmin edilerek modellenmiştir. Ayrıca, %11–20 su muhtevası değerinin çalışma alanında hakim olduğu, diğer aralıkların (%0–10, %21–30 ve %31–44) farklı derinliklerde değişen oranlarda ortaya çıkacağı, genel dağılım düşük–orta su içeriğinin hâkim olduğu, yeraltı suyu bakımında çalışma alanının zengin olmadığı tahmin edilerek modellenmiştir. Likit limit, plastik limit ve plastisite indisi değerlerine göre iki farklı zemin zonunu olduğu hazırlanan IDW model tahmin haritaları ile ortaya konmuştur.

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Cite This Article

Karabaş, B., Akbulut, N., Demirtaş, O. (2026). GIS-Based IDW Mapping of Soil Index Properties: A Case Study of Elazığ Center. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, Cilt: 17 Sayı: 1. https://doi.org/10.24012/dumf.1850431

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