Kozmik Işın Nötron Sayacı ile Ölçülen Toprak Neminin Hidrolojik Modellerde Kullanımı


Duygu M. B., AKYÜREK S. Z.

TEKNIK DERGI/TECHNICAL JOURNAL OF TURKISH CHAMBER OF CIVIL ENGINEERS, cilt.33, ss.12987-13012, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 33
  • Basım Tarihi: 2022
  • Doi Numarası: 10.18400/tekderg.986949
  • Dergi Adı: TEKNIK DERGI/TECHNICAL JOURNAL OF TURKISH CHAMBER OF CIVIL ENGINEERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.12987-13012
  • Anahtar Kelimeler: Cosmic ray neutron probe, CRNP, soil moisture, WATER CONTENT, CALIBRATION, RUNOFF, SYSTEM
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Scattered neutrons which occur as a result of the collision between cosmic rays and the Earth surface, lose their energy when they come into contact with hydrogen. The soil moisture of a region can be determined with high success by counting these neutrons with reduced energy. Cosmic ray neutron probe (CRNP) works using this principle, it was first tested in Turkey at Cakit basin and the results are presented in this study. CRNP can continuously provide soil moisture information for an area with a diameter of approximately 670 meters, thus, constitutes an important alternative for hydrological studies that require soil moisture data with high spatial and temporal resolution. Between 11 November 2016 and 01 July 2019, regular hourly data were obtained with CRNP, and it was determined that the data has very consistent results with the time domain reflectometer (TDR) located in the study area. NAM, which is a lumped conceptual model, helps determining the effects of hydrological variables on the discharge outputs. In this study, soil moisture data obtained with CRNP were used to improve the NAM conceptual model and Kling-Gupta Efficiency score for the discharge data of Cakit Basin increased from 0.56(Calibration) and 0.42(Validation) to 0.81(Calibration) and 0.64(Validation). Similar improvements were noted for most of the statistical measures for both Cakit Basin and Darbogaz sub-basin.