Modeling soil bulk density through a complete data scanning procedure: Heuristic alternatives


Por: Shiri, Jalal, Keshavarzi, Ali, Kisi, Ozgur, Karimi, Sepideh, Iturraran-Viveros, Ursula

Publicada: 1 jun 2017
Categoría: Water science and technology

Resumen:
Soil bulk density (BD) is very important factor in land drainage and reclamation, irrigation scheduling (for estimating the soil volumetric water content), and assessing soil carbon and nutrient stock as well as determining the pollutant mass balance in soils. Numerous pedotransfer functions have been suggested so far to relate the soil BD values to soil parameters (e.g. soil separates, carbon content, etc). The present paper aims at simulating soil BD using easily measured soil variables through heuristic gene expression programming (GEP), neural networks (NN), random forest (RF), support vector machine (SVM), and boosted regression trees (BT) techniques. The statistical Gamma test was utilized to identify the most influential soil parameters on BD. The applied models were assessed through k-fold testing where all the available data patterns were involved in the both training and testing stages, which provide an accurate assessment of the models accuracy. Some existing pedotransfer functions were also applied and compared with the heuristic models. The obtained results revealed that the heuristic GEP model outperformed the other applied models globally and per test stage. Nevertheless, the performance accuracy of the applied heuristic models was much better than those of the applied pedotransfer functions. Using k-fold testing provides a more-in-detail judgment of the models. (C) 2017 Elsevier B.V. All rights reserved.

Filiaciones:
Shiri, Jalal:
 Univ Tabriz, Water Engn Dept, Fac Agr, Tabriz, Iran

Keshavarzi, Ali:
 Univ Tehran, Dept Soil Sci, Lab Remote Sensing & GIS, POB 4111, Karaj 3158777871, Iran

Kisi, Ozgur:
 Int Black Sea Univ, Ctr Interdisciplinary Res, Tbilisi, Rep of Georgia

 Int Black Sea Univ, Ctr Interdisciplinary Res, Tbilisi, Georgia

Karimi, Sepideh:
 Univ Tabriz, Water Engn Dept, Fac Agr, Tabriz, Iran

Iturraran-Viveros, Ursula:
 Univ Nacl Autonoma Mexico, Dept Matemat, Fac Ciencias, Circuito Escolar, Cd Univ, Mexico City 04510, DF, Mexico
ISSN: 00221694
Editorial
Elsevier Sci B.V., Amsterdam, Netherlands, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, Países Bajos
Tipo de documento: Article
Volumen: 549 Número:
Páginas: 592-602
WOS Id: 000403855500047