Dergiler / Eurasian Journal of Soil Science / 2014 / Cilt: 3 - Sayı: 1

Using soil moisture constants and physical properties to predict saturated hydraulic conductivity

Sayfa
77–81
Yayın Tarihi
2014-11-21
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Besides soil physical properties, having moisture constants in PTF models showed that saturated Ks values can be predicted more accurately in soils having similar physical boundary conditions such as texture, bulk density etc.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Saturated hydraulic conductivity (Ks) is an important variable in hydrological cycle processes.
📊
Temel Bulgular & Veri:Ks values were determined in 30 different soil samples using constant head permeability method.
💡
Sonuç & Katkı:Besides soil physical properties, having moisture constants in PTF models showed that saturated Ks values can be predicted more accurately in soils having similar physical boundary conditions such as texture, bulk density etc.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Saturated hydraulic conductivity · pedotransfer model · field capacity

Abstract

Saturated hydraulic conductivity (Ks) is an important variable in hydrological cycle processes. Determination of Ks in soils is a difficult and time consuming process. The objective of this study was to determine Ks in soils by pedotransfer (PTF) models derived using soil moisture constants and physical properties. Ks values were determined in 30 different soil samples using constant head permeability method. According to path analyses results, direct effects of some soil properties on Ks in soils were in the following order; permanent wilting point (PWP) > bulk density (BD) > clay (C) > silt (Si) > field capacity (FC). Soil physical properties generally had the highest indirect effects on Ks through PWP. Prediction of Ks by the second order PTF models was significant using only C, Si and DB (r=0.868**) and using only FC and PWP (r=0.796**) in the models. Using moisture constants with the other soil physical properties in the second order PTF model increased significance level of the relation between predicted and measured values of Ks (r=0.955**). Besides soil physical properties, having moisture constants in PTF models showed that saturated Ks values can be predicted more accurately in soils having similar physical boundary conditions such as texture, bulk density etc.

🔖

Bu Makaleye Atıf Yap

GÜLSER, C., CANDEMİR, F. (2014). Using soil moisture constants and physical properties to predict saturated hydraulic conductivity. Eurasian Journal of Soil Science, Cilt: 3 - Sayı: 1, 77–81. https://ajindex.com/articles/756930

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (13)

  1. Ahuja, I.R., Namey, J.W., Green, R.E., Nielsen, D.R., 1984. Macroporosity to characterize spatial variability of hydraulic conductivity and effects of land management. Soil Science Society America Journal 48: 699–702.
  2. Amoozegar, A., Warrick, A.W., 1986. Hydraulic conductivity of saturated soils: Field Methods. In: Methods of Soil Analysis. Part 1.Physical and Mineralogical Methods (Ed. A. Klute). SSSA Book Series: 5 (formerly Agronomy Monograph 9). Madison, Wisconsin, USA, pp. 735-768.
  3. Anderson, J.L., Bouma, J., 1973. Relationships between saturated hydraulic conductivity and morphometric data of an argillic horizon. Soil Science Society America Proceedings 37: 408– 413. Basile, A., D’urso, G., 1997. Experimental corrections of simplified methods for predicting water retention curves in clay-loamy soils from particle-size determination. Soil Technology 10:261-272.
  4. Brady, N.C., 1974. The nature and properties of soils. 8th edition. MacMillan Pub.Co., Inc. New York. De Macedo, J.R., Meneguelli, N.A., Filho, T.B.O., Lima, J.A.S., 2002, Estimation of field capacity and moisture retention based on regression analysis involving chemical and physical properties in Alfisols and Ultisols of the state of Rio de Janerio. Communication Soil Science and Plant Analyses 33 (13-14): 2037-2055.
  5. Demiralay, İ., 1993. Toprak fiziksel analiz yöntemleri. Atatürk Univ. Ziraat Fakültesi yayınları. Erzurum, p. 111-120.
  6. Goncalves, M.C., Pereira, L.S., Leij, F.J., 1997. Pedo-transfer Functions for Estimating Unsaturated Hydraulic Properties of Portuguese Soils. European Journal of Soil Science 48: 387–400.
  7. Gülser, C., 2004. Tarla Kapasitesi ve Devamlı Solma Noktası Değerlerinin Toprakların Fiziksel ve Kimyasal Özellikleriyle İlişkili Pedotransfer Eşitliklerle Belirlenmesi. OMU Ziraat Fak. Dergisi, 19(3): 19-23.
  8. Gülser, C., Candemir, F., İç, S., Demir, Z., 2007. Pedotransfer Modellerle İnce Bünyeli Topraklarda Doygun Hidrolik İletkenliğin Tahmini. V. Ulusal Hidroloji Kongresi, Bildiriler Kitabı, 5-7
  9. Eylül, ODTÜ Ankara, p. 563-569.
  10. Hillel, D., 1982. Introduction to soil physics. Academic Press,
  11. Inc. San Dieoga, California. Kacar, B., 1994. Bitki ve toprağın kimyasal analizleri III. Soil Analysis,.Ankara Univ. Ziraat Fakültesi yayınları No:3 Ankara,
  12. Turkey. Klute, A., Dirksen, C., 1986. Hydraulic conductivity and diffusivity: Laboratory methods. In: SSA-SSSA. Methods of Soil Analysis, Part 1. Physical and Mineralogical Methods. Agronomy monograph no. 9. pp. 687-734.
  13. Mualem, Y., Degan,