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http://localhost:8081/xmlui/handle/123456789/15878
Title: | FLOW SIMULATION OF AN UNGAUGED CATCHMENT USING DIFFERENT REGIONALIZATION PROCEDURES |
Authors: | Bhatia, Mohit |
Keywords: | Streamflow;Narmada River Basin;Percentage Absolute Error Of Dependable Flows (PAEDF);ArcGIS Tool |
Issue Date: | May-2019 |
Publisher: | IIT ROORKEE |
Abstract: | The objective of this study to examine the effect of catchment characteristics that is catchment area(Ca), altitude(A) and (Ca/A2) on streamflow characteristics for various sub-basins of upper Narmada river basin having catchment area ranging from1508 km2 to 44548 km2 located in Madhya Pradesh.10 daily flow data of 10 gauging sites varying from 10 to 30 years are utilized. To develop a regional relationship to estimate water availability 10 daily flow of eight gauging catchments are utilized and these relationships are validated using the remaining two test catchments. the physiographic and hydrologic characteristics of the region are derived from using ArcGIS tool and available literature. a simple linear regression model is used to predict regional equation of mean flow by correlating it with catchment characteristics. Three regionalization approaches based on regression are used to develop a regional relationship for the upper Narmada river basin. the first method is regionalization of parameters for individual gauged sites of selected probability distributions.second approach is regionalization of dependable flows and the third method is regionalization of parameters for the whole region of selected probability distribution these three methods are compared on the basis of percentage absolute error of dependable flows (PAEDF). It is observed that dependable flows increases with increase in the catchment area(Ca) and decreases with increase in altitude(A). |
URI: | http://localhost:8081/xmlui/handle/123456789/15878 |
metadata.dc.type: | Other |
Appears in Collections: | MASTERS' THESES (WRDM) |
Files in This Item:
File | Description | Size | Format | |
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G29355.pdf | 2.05 MB | Adobe PDF | View/Open |
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