JWSS - Journal of Water and Soil Science

Little information is available regarding the effect of road on the adjacent vegetation and soil. The current investigation was done to study the effect of Darab-Bandar Abbas road on vegetation, soil properties and nutrient availability of the adjacent soils. For this purpose, eighteen soil samples in three different regions from the roadside and the adjacent land (50m from the road edge) were collected and the vegetation type and density were determined. Soil properties and the availability of N, P, K, Fe, Mn, Zn and Cu were also determined. Roadside soil had more organic matter and sand contents and less clay content and pH in comparison to the adjacent lands. The mean contents of N, Fe, Zn and Cu available in the roadside soils were 0.13%, 4.2, 3.2 and 0.7 mg kg^-1, respectively; these were significantly more than those of the adjacent lands (0.06%, 2.8, 0.6 and 0.3 mg kg^-1, respectively). Vegetation of roadside was more varied, consisting of Artemisia sieberi and Astragalus fasciculifolius. Vegetation cover in the roadside (13.8%) was significantly more than that of the adjacent lands (8.5%). Generally, it could be concluded that roadside soils had a suitable moisture condition and fertility for the vegetation development and this could be considered in the soil conservation management of the roadside soils.

The aim of this study was to evaluate the effect of increasing DEM spatial resolution on the assessment of the morphometric characteristics of waterways, as well as analysis and modeling of it by using RS and GIS techniques. In this study, which was carried out in the south of Darab city DEM 90 m (as one of the most usable data in waterway modeling), increase spatial resolution of DEM attraction algorithm in neighboring pixels with two models including: touching and quadrant neighboring models to estimate the value of sub-pixels. After manufacturing output images for sub pixels in 2, 3 and 4 scales with different neighborhoods, the best scale with the most appropriate type of neighborhood was determined using ground control points (270 points); then, the values of RMSE were calculated for them. The results showed that with using the Attraction model, the accuracy of the output of images was improved and the spatial resolution of them was increased. Among scales with different neighborhoods, 3 scales and quadrant neighboring model exhibited the most accuracy by the lowest value of RMSE for the DEM 90 meter. Evaluation of waterways morphometric features showed that DEM extracted from attraction algorithm had more ability and accuracy in waterways extraction, Extraction of morphometric complications, and information in the study area.