Karstik kaynak hidrograflarında kaynak boşalım karakteristiklerinin otomatik çekilme eğrisi seçim prosedürleri ile belirlenmesinin karşılaştırılmalı olarak değerlendirilmesi

Öz

Kaynak hidrograflarında çekilme eğrisi analizi, karstik akifer sistemlerinin akım ve boşalım dinamiklerini karakterize etmek için kullanılan yaygın bir yöntemdir. Bu yöntem, akifer sisteminin hidrodinamik özelliklerinin tanımlanmasında önemli bilgiler sağlamasına karşın, aday bir çekilme eğrisi(leri)nin manuel olarak seçimi ne tüm çekilme eğrilerinin analizini kapsayacak şekilde pratik bir tekniktir, ne de hidrolojik bir değişiminin karstik kaynak çekilme davranışı üzerindeki etkisinin tanımlanmasına izin vermektedir. Bu çalışmada, otomatik çekilme eğrisi seçim prosedürlerinin kaynak hidrografı geç-dönem çekilme analizlerinde uygulanabilirliği araştırılmıştır. Bu kapsamda, Vogel Metodu, Brutsaert Metodu ve Aksoy ve Wittenberg Metodu olmak üzere üç otomatik çekilme eğrisi seçim prosedürü dört adet çekilme eğrisi analizi metodu (Maillet, 1905, Boussinesq, 1904, Coutagne, 1948 ve Wittenberg, 1999) ile birleştirilerek karstik kaynaklarda geç-dönem kaynak çekilme (boşalım) katsayıları karşılaştırmalı olarak hesaplanmıştır. Çalışmada, Avusturya'da bulunan beş karstik kaynağın çekilme katsayıları belirlenmiş olup, karstik kaynak fizikokimyasal verileri (elektriksel iletkenlik ve su sıcaklığı) hidro-kemograflar aracılıyla ile değerlendirilerek otomatik çekilme eğrisi seçim prosedürlerinin olası zayıf yönleri ortaya konmuştur. Bu araştırma, karstik kaynaklarda geç-dönem çekilme eğrisi analizlerinde çekilme başlangıcını ve süresini tamamlamak için otomatik çekilme eğrisi seçim prosedürlerinin uygulanabilirliği için bir araştırma yönü sağlamıştır.

Anahtar Kelimeler

• çekilme eğrisi analizleri
• karstik kaynak
• kaynak hidrograf analizi
• kaynak hidro-kemograf analizi
• otomatik çekilme eğrisi belirleme prosedürleri

A Comparative Evaluation of Automated Recession Extraction Procedures for Karst Spring Hydrographs

Öz

Recession Curve Analysis is a common method to characterize karstic aquifers and their discharge dynamics. Although this technique provides crucial information on quantifying system hydrodynamic properties, the manually selected recession curves analysis is neither a practical technique to cover all candidate recession curves, nor it allows extracting the entire hydrological diversity of the recession behavior. This study aimed to comparatively evaluate the applicability of automated recession selection procedures to the late-time recession analysis of karst spring hydrograph. For the comparative evaluation of the three automated recession extraction methods (Vogel Method, Brutsaert Method, and Aksoy and Wittenberg Method), we quantified the late-time recession parameters of spring hydrographs by combining three extraction methods with four recession analysis methods (Maillet, 1905; Boussinesq, 1904; Coutagne, 1948; and Wittenberg, 1999). By applying our experimental design into the five karst springs located in Austria, we identified the possible weaknesses of the automated recession extraction procedures for the late-time recession analysis for spring hydrographs. To explore the value of the karst spring’s physicochemical data (electrical conductivity and water temperature) as a completion data for the recession curve analysis, we carried out the hydro-chemograph analysis to examine the recession time and its duration. The research provides a research direction as to how the automated recession extraction procedures for the karst spring hydrographs could be improved by the physicochemical signatures of karst springs.

Anahtar Kelimeler

• automated recession extraction methods (REMs)
• karst spring
• hydrograph analysis
• hydro-chemograph analysis
• recession curve analysis

Teşekkür

This research was carried out in the Chair of Hydrological Modelling and Water Resources in Albert-Ludwigs-Universität Freiburg (Freiburg, Germany) during my four-month MSc internship under the supervision of Prof. Dr. Andreas Hartmann in 2019. The research was also a small part of my MSc study in hydrological modeling area in Wageningen University & Research (Wageningen, the Netherlands). Some part of this research was presented in European Geoscience Union (EGU) EGU General Assembly 2019. https://meetingorganizer.copernicus.org/EGU2019/EGU2019-8722-2.pdf

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