Bonfring International Journal of Industrial Engineering and Management Science

Impact Factor: 0.541 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)


Optimization of Hydrometric Network using Spatial Regression Approach

N. Vivekanandan and Rahul S. Jagtap


Abstract:

Establishment and maintenance of a hydrometric network in any geographical region is required for planning, design and management of water resources projects. Setting up and maintaining a hydrometric network is an evolutionary process, wherein a network is established early in the development of the geographical area; and the network reviewed and upgraded periodically to arrive at the optimum network. This paper presents the methodology for optimization of a hydrometric network using spatial regression in generalized least square framework. The procedures, involving computation of redundancy information using cross-correlation matrix and identification of most influential station using Cook?s D statistics, is applied to the upper Bhima basin upto Ujjani reservoir for illustrative purposes; and results presented. The derived optimum hydrometric network for the basin is evaluated based on WMO guidelines for minimum density of hydrometric network.

Keywords: Cross-Correlation, Cook?s D Statistics, Network, Optimization, Stream Flow, Spatial Regression

Volume: 2 | Issue: Special Issue on Geospatial Technology Development in Natural Resource and Disaster Management

Pages: 56-61

Issue Date: July , 2012

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