عنوان مقاله [English]
Background and Objectives: Modelling of environment and landscape quality involves the consideration of a number of factors, including existing vegetation cover, man-made constructions, topography, and soil attributes. Today, the goal of assessing the quality of the environment and the landscape is to determine the indicators and criteria by which they can preserve, restore and reconstruction the landscape. In fact, in this way, it is possible to preserve aesthetically pleasing landscapes and restore other landscapes. The objective of this study was to evaluate the quality of environment and landscape in the riverside parks of Ahvaz using fuzzy knowledge-base.
Materials and Methods: To do this research, two depths of 0.30-0.30 cm were taken and soil samples were transferred to laboratories for laboratory studies and exposed to air and dried and soil properties, slope percentage, visual aesthetic elements of man-made and vegetation cover were measured. A visual assessment was used to investigate the plant factor (resistant and effective on aesthetics) and human elements. For this purpose, 150 photographs of coastal parks were prepared and rated by space experts. Finally, the fuzzy knowledge-base with six parameters (salinity, gradient, soil texture, man-made, resistant plants and soil fertility) and seven models were used to study and model the quality of environment and landscape of the riverside parks of Ahwaz.
Results: The results of this study indicated that the average amount of soil texture, bulk density, mean weight diameter (MWD), soil salinity, sodium adsorption ratio, organic matter, Olsen phosphorous, slope, visual aesthetic of vegetation and man-made elements were sandy loam, 1.67, 0.33, 10.96, 24.94, 2.42, 17.81, 3.7, 2.26 and 0.12 in this parks, respectively. The visual aesthetic elements of man-made and vegetation cover is also low due to lack of this elements. According to the experts of soil science, salinity, gradient, soil texture, man-made, resistant plants and soil fertility are the most effective variables for classifying the environment and landscape, so these variables can be important indicators for assessing the quality of green spaces and environment and landscape. The fuzzy knowledge-base models used in quality classification of the environment and landscape of Ahvaz riverside Parks showed that 38.7, 58.8 and 2.5 percent have low, medium and high degree of quality class, respectively.
Conclusions: These results showed that the soils in this parks have saline & sodic properties with high density and low aggregate stability. Saline & sodic properties and soil erosion has been recognized as the most important limiting factors in the area with low and medium quality class. Therefore, drainage systems construction and soil leaching for reduce salinity and planting of tolerant vegetation cover to control of environmental stress were recommended for restoration of green space in this area.