Monthly Soil Temperature Modeling Using Gene Expression Programming

Year 2019, , 1327 - 1337, 24.12.2019

Prof. Dr.arzu Şencan Şahin , Erkan Dikmen Kazım Kumaş

https://doi.org/10.17798/bitlisfen.527053

Abstract

Soil
temperature is a critical variable controlling below-ground processes for
global and continental carbon budgets. However, there are an insufficient
number of climatic stations monitoring soil temperature. In this study, GEP
model was used for estimation of monthly soil temperature using air
temperature, depth, relative humidity and solar radiation data for the Antalya,
Isparta, and Burdur in Turkey. This model was tested using measured
meteorological data. The values of R² between observed and predicted
soil temperatures ranged from 0.95 to 0.97. Predictions with GEP model show
good agreement with actual soil temperature measurements. New equations are
presented for calculation of soil temperatures at different depths. The
GEP-based formulations are very practical to predict soil temperature. Soil
temperature prediction with GEP model is helpful in various processes,
including agricultural decision, heating or cooling of buildings and
ground-source heat pump applications.

Keywords

GEP, soil temperature, meteorological data, modeling

Monthly Soil Temperature Modeling Using Gene Expression Programming

Abstract

Toprak sıcaklığı, küresel ve karasal karbon bütçeleri
için yer altı süreçlerini kontrol eden kritik bir değişkendir. Ancak, toprak sıcaklığını
izleyen az sayıda iklim istasyonu vardır. Bu çalışmada, Antalya, Isparta ve
Burdur illeri için hava sıcaklığı, derinlik, bağıl nem ve güneş ışınımı
verileri yardımıyla aylık toprak sıcaklığının tahmini için GEP modeli
kullanılmıştır. Bu model ölçülen meteorolojik veriler kullanılarak test
edilmiştir. Ölçülen ve tahmin edilen toprak sıcaklıkları arasındaki R²
değerleri 0,95 ila 0,97 arasında değişmiştir. GEP modeli ile yapılan tahminler,
gerçek toprak sıcaklığı ölçümleriyle iyi bir uyum göstermektedir. Farklı
derinliklerde toprak sıcaklıklarının hesaplanması için yeni denklemler
sunulmuştur. GEP modelinden elde edilen denklemler, toprak sıcaklığını tahmin
etmek için çok pratiktir. GEP modeli ile toprak sıcaklığı tahmini, tarımsal
uygulamalar, binaların ısıtılması veya soğutulması ve toprak kaynaklı ısı
pompası uygulamaları gibi işlemlerde oldukça yardımcı olacaktır. 

Keywords

GEP, Toprak Sıcaklığı, Meteorolojik veri, Modelleme

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