Department of Watershed Management Engineering (2013 - Present)
Watershed Management Sciences and Engineering
Watershed Management, Tarbiat Modares University, Noor, Iran
Natural Resources Engineering, Watershed Management
Watershed Management, Tarbiat Modares University, Noor, Iran
Natural Resources Engineering, Rangeland and Watershed mnagement
Rangeland and Watershed Management, Razi University of Kermanshah, Kermanshah, Iran
Research field: Soil Surface Scanning (micron)
Expert: Fatemeh Ghanbari
Phone:
Address: Central Laboratory - Faculty of Natural Resources
Associate Professor, Department of Watershed Management, Faculty of Natural Resources, Tarbiat Modares University, Tehran, Iran. Main specialisms are: - Soil Erosion and Sediment Yield Modelling - Sediment Fingerprinting - Sediment Budgets - Measuring Soil Erosion using Image Processing Technique - River Bed Sediment Morphometry - Soil Erosion Processes - Rainfall Simulation. - Emails: - vahedkhaledi@yahoo.com - a.khaledi@modares.ac.ir
Sediment budget is a valuable tool for describing the sediment production, transfer and storage in a watershed and its components depend on different watershed physical properties. The present study aimed to evaluate the relationship between 22 geomorphological factors and sediment budget components in a small mountainous watershed in the west of Iran, using ordinary least square, geographically weighted regression and bivariate regression. The distribution map of erosion and deposition was prepared using 137Cs in 15 sub-watersheds and the internal area. According to the results, the maximum net erosion rates were related with the sub-watersheds with medium slope (<20%) which strongly reveals the role of landuse and its interaction with the
Ecosystem services refer to the benefits and advantages (directly and indirectly) provided by the ecosystem to people. The concept of ecosystem services has been recognized as a tool for comprehensive decision-making in natural resource management, land use policy design and land use planning in recent years. In this regard, the present study was planned to implement the InVEST sediment delivery ratio (SDR) model and prioritize sub-watersheds of the Talar in Mazandaran province in terms of soil loss, sediment retention and sediment yield. For this purpose, the input factors of the model including rainfall erosivity, soil erodibility, land use, digital elevation model, crop management, land management, sediment connectivity index, K paramete
Soil conservation aimed at reducing runoff and erosion is essential for the optimal and sustainable exploita-tion of natural resources. Rice straw can be used as an affordable and available organic mulch, especially in the north of the country. Therefore, in the present study, the effect of two coverage levels of 40 and 70% of rice straw on some hydrological components of 0.5?0.5 m plots with two types of soil with sandy-loam and sandy-clay-loam textures was investigated. Considering three replications for each treatment, a total of 36 plots with a slope of 18% were placed under rainfall simulator with two rainfall intensities of 50 and 90 mm h-1. The results showed that rice straw in all studied treatments had a significant effect (P≤0
Land use change is known as one of the main influencing factors on soil erosion and sediment production processes. The objective of the article is to study on how land use change impacts on soil erosion by using Intensity of Erosion and Outflow (IntErO) as a process-oriented soil erosion model. The study has been conducted under land use changes within the period of 1991–2014 in the Talar watershed located in northern Iran. The GIS environment was used to prepare the required maps including Digital Elevation Model (DEM), geology, land use, soil, and drainage network. The climatology data including average annual precipitation and air temperature as well as the volume of torrential rain were extracted from the data of meteorological statio
The aim of this study was the spatial and temporal monitoring of soil erosion patterns in Iran. The G2 model was used, as an appropriate tool to provide the required month-time step country-wide soil loss maps and statistical outputs. The input parameters were derived with field surveys and remote sensing imagery (MODIS, SRTM, SPOT, and Sentinel-2 scenes). An innovation for G2 was the consideration of the snow cover effect on the rainfall erosivity. It was also the first time G2 was used to map such a big country like Iran on a country scale. The mean annual soil erosion in Iran was found to be 16.5 t ha−1, which is equal to about 2.7 billion tons of soil loss. In spatial terms, the highest soil loss values were found in the north, west a
Soil organic carbon (SOC) has a vital role in the physical, chemical and biological behavior of the soil, and therefore prediction of the amount and mapping spatial distribution of SOC is necessary for sustainable soil management. However, the relationship between SOC and remotely sensed and easily accessible variables have been rarely reported. The main objective of the present study is, therefore, to estimate SOC using the remote sensing of satellite images as well as some field variables for the Shazand Watershed, Iran. Towards that, 140 soil samples were taken from the top 30-cm of the soil from homogeneous units representing an area >1?km2 to measure SOC. The potential relationship between SOC and some remote sensing-based indices incl
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