Evaluation of Rain Gauge Network using Maximum Information Minimum Redundancy Theory
Journal Title: International Journal of Scientific Research and Reviews - Year 2012, Vol 1, Issue 3
Abstract
Establishment and maintenance of a Rain Gauge Network (RGN) in any geographical region is required for planning, design and management of water resources projects. Setting up and maintaining a RGN is an evolutionary process, wherein a network is established early in the development of the geographical area; and the network is reviewed and upgraded periodically to arrive at the optimum network. This paper illustrates the use of entropy theory-based criterion, namely, Maximum Information Minimum Redundancy (MIMR) for evaluation of RGN of upper Bhima basin. The transinformation index obtained from marginal and conditional entropy values, adopting 2-parameter Normal/ Log-Normal (N2 and LN2) distributions are used for evaluation of RGN. The paper presents that the derived network consisting of seventeen raingauge stations with network density of 865 km2 per gauging station is considered as the optimum RGN for upper Bhima basin, which satisfied the WMO recommended value of 600-900 km2 per station.
Authors and Affiliations
Vivekanandan N , Roy SK , Chavan AK
Keywords
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Evaluation of Rain Gauge Network using Maximum Information Minimum Redundancy Theory
Establishment and maintenance of a Rain Gauge Network (RGN) in any geographical region is required for planning, design and management of water resources projects. Setting up and maintaining a RGN is an evolutionary proc...