Estimation of Runoff and Sediment Yield in Sede Watershed Blue Nile Basin, | East Gojjam Zone, Amhara Region, Ethiopia

Alene Goshu Denekew (u. a.)

ISBN 10: 6203307068 / ISBN 13: 9786203307061

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

Estimation of Runoff and Sediment Yield in Sede Watershed Blue Nile Basin, | East Gojjam Zone, Amhara Region, Ethiopia | Alene Goshu Denekew (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203307061 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 119724910

Bibliographic Details

• Title: Estimation of Runoff and Sediment Yield in Sede Watershed Blue Nile Basin, | East Gojjam Zone, Amhara Region, Ethiopia
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6203307068
• ISBN 13: 9786203307061
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Soil erosion is the major cause of land degradation and reservoir sedimentation. Therefore, Modeling of runoff and sediment yield at a watershed level is very important. A conceptual, distributed and continuous time, Soil and Water Assessment Tool (SWAT Model) was selected for the simulation of the runoff and sediment yield from Sede watershed, in Blue Nile Basin. The main objective of the study was to determine the magnitude and extent of runoff and soil erosion of Sede watershed. To set up the model for simulation a 30×30 m DEM (Digital Elevation Model), land use map and soil map were used. The daily record weather data from 1996 to 2015 was used as input to the model. Daily stream flow record data and two to four days record sediment data within the year was available from 2002 to 2015. In this study both local (one-at-a-time) and global sensitivity analysis were performed and the ranking of the parameters in both cases compared. The model was calibrated by using both automated calibration and manual calibration for monthly to stream flow and daily for both steam flow and sediment by using the flow and sediment data from 2002 to 2011 and validated for 2012 to 2015.