Ali Abdollahzadeh; Majid Ownegh; Amir Sadoddin; Raoof Mostafazadeh
Abstract
Identification the source areas of surface runoff and flood prone zones and their impact on residential expansion are important. The aim of the present study is to consider the impact of potential runoff coefficient and flood inundation for different recurrence intervals in analyzing residential expansion ...
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Identification the source areas of surface runoff and flood prone zones and their impact on residential expansion are important. The aim of the present study is to consider the impact of potential runoff coefficient and flood inundation for different recurrence intervals in analyzing residential expansion for the current land use pattern as well as suitable land use allocation based on the systemic land use planning of Iran in the Ziarat watershed in Golestan Province. The pre-processed Landsat TM image 2010 was used to determine the land use map of the study area and then a suitability analysis is then carried out to establish the potential residential development area in the framework of Iranian systemic land use planning model. The raster layers of slope, soil type, and land use were prepared and the potential runoff coefficient values were determined using the attributes. Floodplain zonation maps were delineated by integrating HEC-RAS and ArcGIS in different return periods. The results indicate that the residential area covers 3.4% of the study area and 9% of the study area was assigned as 1 and 2 suitability classes, according to land use planning model. On the basis of the potential runoff coefficient map, the average runoff coefficient was 0.51%. Based on the combined flood zone maps and runoff coefficient, the flood prone areas will increase for 25, 50, 100, and 200 year floods for both current and determined residential land uses. The areas of flood-secure regions in current residential land use were 318.47, 317.46, 316.44, and 316.44 ha for different design floods respectively. Increasing the return period from 20-50 to 100-200 years lead to an increase of flood zone extent (3.5 ha).
Jamal mosaffaie; Majid Ownegh
Abstract
Landslide is one of the natural hazards that makes numerous financial and life damages each year. By landslide hazard zonation, we able to detect susceptible areas to landslide and with applying developed methods and suitable management the abundance of land sliding and the amount of damages will be ...
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Landslide is one of the natural hazards that makes numerous financial and life damages each year. By landslide hazard zonation, we able to detect susceptible areas to landslide and with applying developed methods and suitable management the abundance of land sliding and the amount of damages will be reduced. In this study potential landslide hazard evaluated using multivariate regression model at a part of Alamout watershed in general level (1:50000 scale). So first, landslide distribution map of area prepared using study of air photos and field surveying. After reviewing available resources along with reviewing the benefit of experts, all factors that can affect landslide were extracted and among them eight parameters including (lithology, slope percent, aspect, height, distance to fault, land use, rainfall and earthquake acceleration) were selected as landslide effective factors. AHP and pair comparing technique were used for numerical weighting to qualitative categories of land use, aspect, and lithology parameters. Homogeneous units map prepared using overlaying 8 maps of landslide key factors, and by crossing of homogeneous map and landslide distribution map. Categories of each parameter were detected in each landslide, and with weighting average of them, the effect of each parameter was determined in each landslide. Therefore 84 observations prepared for statistical analysis of landslides. Results showed that 5 parameters including lithology, slope, height, distance to fault and land use have meaningful relation with landslides that determining coefficient between these parameters as independent variables and logarithm of landslides area as dependent variable was 60.7%. Landslide hazard zonation map and landslide distribution map were crossed and efficiency of model was evaluated. The Chi square test was used for comparing of difference between hazard classes of model. Results show that model has higher efficiency in higher classes of hazard. Results show also measured chi square rate is meaningful at 99% of confidence interval, and there is suitable separation among landslide hazard classes.
