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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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JETIRA006298


Registration ID:
188753

Page Number

212-217

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Title

COMPARISON OF RAINFALL INTERPOLATION METHOD FOR DELHI

Abstract

Rainfall is a highly unpredictable and random phenomenon in nature, rainfall interpolation from point measurements is one approach that hydrologists use to account for spatial variation in rainfall. Rainfall is arguably the meteorological phenomena that have the greatest impact on the human activity. However, it remains one of the most elusive elements to predict. Advances in numerical weather prediction models and available computing power have resulted in a steady improvement of short range forecast since 1950. Geographical Information System (GIS) has emerged as a useful tool in carrying out the spatial analysis of rainfall. GIS can handle of large amount of spatial and non spatial data and can provide outputs which can be easily interpreted. Geostatistcs is a study of phenomena that vary in space and time. It can be regarded as a collection of numerical techniques that deal with the characterization of spatial attributes, employing primarily random models in a manner similar to the way in which time series analysis characterize temporal data.In the present study, an attempt is made to predict rainfall using conventional methods such as Theissen polygon method, Inverse distance weightage and geostatistical methods such as kriging and radial basis function for Delhi. The point rainfall data of over 8 rain gauge station have been used in GIS environment. Geostatistical interpolation methods Kriging and Radial basis function along with theissen polygon method and Inverse Distance Weightage have proved to be comparable approaches in prediction of annually rainfall values. The choice of interpolation method for predicting rainfall depends on the nature of the rain in the regions under study and the quality of observations. From the present study Kriging by linear interpolation and Radial basis function have prove to be satisfactory among other interpolation methods.

Key Words

Remote Sensing, GIS, Thiessen Polygon, IDW, Krigging, RBF

Cite This Article

"COMPARISON OF RAINFALL INTERPOLATION METHOD FOR DELHI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.212-217, September-2018, Available :http://www.jetir.org/papers/JETIRA006298.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"COMPARISON OF RAINFALL INTERPOLATION METHOD FOR DELHI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp212-217, September-2018, Available at : http://www.jetir.org/papers/JETIRA006298.pdf

Publication Details

Published Paper ID: JETIRA006298
Registration ID: 188753
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 212-217
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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