Yazd University Journal of Kavoshnameh in Persian Language and Literature 2645-453X 2 3 2002 02 20 The Estimate of Flood Volume in Drainage Basins Based on Morphometric Data Case Study: Zohreh & Khyrabad Basins in Iran The Estimate of Flood Volume in Drainage Basins Based on Morphometric Data Case Study: Zohreh & Khyrabad Basins in Iran 95 105 2214 10.29252/kavosh.2002.2214 FA Manuchehr Farajzadeh Assistant Professor Tarbiat Modares University Ezzatollah Ghanavati Assistant Professor of Teacher Training University Journal Article 2000 11 02 Flood is the most important disaster in Iran that has negative effects on the environment. In order to forecast this phenomenon, researches have used different methods such as statistical analysis, rainfall, runoff model, etc. In this paper, to forecast the flood in Zohreh and Khyrabad basins, morphology data were used. To this end, 12 physiography variables such as area, slope gradient, relief and other factors are studied for 15 sub-basins of case study area. Then, all these factors with maximum flood discharge, as dependent factor, are combined in multiple regression model using backward method. The produced model is calibrated for sub-basins using a correction coefficient. The result of this work indicates that length of basins, gravelius coefficient and the main drainage length factors are the main factors that can be used in the final produced model. The final model is evaluated based on regression coefficient, which shows a very high correlation between estimated and measured flood data. Flood is the most important disaster in Iran that has negative effects on the environment. In order to forecast this phenomenon, researches have used different methods such as statistical analysis, rainfall, runoff model, etc. In this paper, to forecast the flood in Zohreh and Khyrabad basins, morphology data were used. To this end, 12 physiography variables such as area, slope gradient, relief and other factors are studied for 15 sub-basins of case study area. Then, all these factors with maximum flood discharge, as dependent factor, are combined in multiple regression model using backward method. The produced model is calibrated for sub-basins using a correction coefficient. The result of this work indicates that length of basins, gravelius coefficient and the main drainage length factors are the main factors that can be used in the final produced model. The final model is evaluated based on regression coefficient, which shows a very high correlation between estimated and measured flood data. https://kavoshnameh.yazd.ac.ir/article_2214_27faf1e4bcb53ecbd38b67d402396d60.pdf