作者: Mohammad Reza Pahlavan-Rad , Alireza Akbarimoghaddam
DOI: 10.1016/J.CATENA.2017.10.002
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摘要: Abstract Flood plain ecosystems show significant soil spatial variability. Understanding variations of texture fractions and pH in flood plains is necessary for ensuring proper management these plains, because properties influence structure, fertility, hydraulic conductivity, infiltration, erosion. In the present study, distribution was investigated a with intensive wind erosion an area ~ 41,000 ha Zahak county Sistan Baluchestan province eastern Iran. A random forest technique used to link environmental variables studied properties. 460 samples were collected from 0 30 cm depth across 750 m grid. 361 training 99 independent validation. Results showed that distance river most important variable predicting study area. Natural channel networks, elevation, valley depth, LS factor, NDSI, vertical slope, effect, NDVI, brightness other variables. The maps produced indicated higher sand content near River. Clay, silt, contents increased clay had similar values RMSE estimated sand, clay, validation data respectively 21.40, 17.45, 6.06 0.45. These 10.3, 10.7, 15.1, 13.3% lower than simple model (mean model). using networks as digital mapping can increase accuracy predictive plains.