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The sediment yield potential estimation of Fariabad and Kordian watersheds using MPSIAC model in the GIS framework
Seid Mohammad Tajbakhsh
College of Agriculture, University of Birjand
Hadi Memarian
College of Natural Resources, University of Tehran, Iran
Introduction
Nowadays, the degradation of renewable natural resources is one of the most important problems of human . Soil is one of the most important natural resources and the degradation of that is caused , the decline of fertility , weakening of plant cover and at last aggravation of desertification specially in the arid and semi-arid regions . In accordance with the estimation of FAO, in excess of 75 billion tons soil in the whole earth is eroded . In the neighborhood of 76 percent of Iran exposed to the erosion . In Iran,the climate variation and topographic conditions have important role on the increasing of erosion . The study area has located in the northeast of Taibad town (Khorasan province, Iran, between 60° 00' to 60° 30' E and 34° 30' to 35° 00' N).This area locates into Qareqoom basin.With due attention to the suitable compatibility of MPSIAC model to arid and semiarid conditions of Iran in the erosion and sediment studies of these watershed was applied .In this study newest GIS softwares to obtain a good and accurate result at the least time were used.
Materials and methods
By reason of the great number of data, activity and changeability of these data in the natural resources ? geographic information system , as a useful tool , is carried to solving many problems .In this study ? effective factors in the erosion ( to MPSIAC model ) were gathered using existing condition maps ? statistical information ? field investigation ? topographic maps and aerial photographs . Then, using geographic information system and Arc View , Arc/info , R2V and Auto CAD softwares ,the maps and tables was digitized and based on table 1 the erosion factors maps were encoded and with overlaying these maps ?the sediment yield and erosion maps in accordance with this equation were obtained
[1]QS = 38.77 e0.0353R
Where:
Qs : total sediment yield ( m3. km-2 .yr-1 )
R: sediment yield score
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