The aim of the this study is source identification of hydrocarbons in Shadegan wetland by applying different source apportionment methods so that appropriate measures can be considered for pollution prevention and risk management. A multi-criteria approach is needed to differentiate biogenic compositions from petroleum hydrocarbons.
This study evaluates the performances of a combination of genetic programming and soil depth functions to map the three-dimensional distribution of cation exchange capacity in a semiarid region located in Baneh region, Iran. Overall, results indicated the topsoil can be reasonably well predicted; however, the subsoil prediction needs to be improved.
This study evaluates the performances of a combination of genetic programming and soil depth functions to map the three-dimensional distribution of cation exchange capacity in a semiarid region located in Baneh region, Iran. Overall, results indicated the topsoil can be reasonably well predicted; however, the subsoil prediction needs to be improved.
In this study, the effect of land-use treatments and the feasibility of fractal dimension to quantify soil aggregate stability were investigated. For this purpose, the non-linear fractal dimension, linear fractal dimension and the mean weight diameter of aggregates were compared.
In this study, the effect of land-use treatments and the feasibility of fractal dimension to quantify soil aggregate stability were investigated. For this purpose, the non-linear fractal dimension, linear fractal dimension and the mean weight diameter of aggregates were compared.
In this article, we attempted to investigate soil salinity variation via a digital soil mapping approach and genetic programming in an arid region and results indicated that the model predicted ECe over the study area accurately .
In this article, we attempted to investigate soil salinity variation via a digital soil mapping approach and genetic programming in an arid region and results indicated that the model predicted ECe over the study area accurately .
There is no doubt that snow cover plays an important role in the hydrological cycle of mountainous basins. The aim of this study is to estimate the snow depth from terrain parameters in the Sakhvid Basin using artificial neural networks and M5 algorithm of decision tree.
There is no doubt that snow cover plays an important role in the hydrological cycle of mountainous basins. The aim of this study is to estimate the snow depth from terrain parameters in the Sakhvid Basin using artificial neural networks and M5 algorithm of decision tree.
The main objective of this study was the measurement of soil erosion at micro-scale and macro-scale using laboratory experiments, field work, and remote sensing methods within a critical region of fire-affected forests on the southwestern coast of the Caspian Sea in the Guilan province of northern Iran.