ASSESSING THE EFFECT OF INCORPORATING A DIGITAL ELEVATION MODEL (DEM) INTO THE ESTIMATION OF ANNUAL AND MONTHLY RAINFALL IN GOLESTAN PROVINCE

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DELBARI MASOOMEH; AFRASIAB PEYMAN; JAHANI SAMANEH

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Journal: Iranian Journal of Irrigation and Drainage Year:2012 | Volume:6 | Issue:2 Page(s): 118-132

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Title

ASSESSING THE EFFECT OF INCORPORATING A DIGITAL ELEVATION MODEL (DEM) INTO THE ESTIMATION OF ANNUAL AND MONTHLY RAINFALL IN GOLESTAN PROVINCE

Author(s)

DELBARI MASOOMEH | AFRASIAB PEYMAN | JAHANI SAMANEH | Issue Writer Certificate

Keywords

RAINFALLQ2

MULTIVARIATE GEOSTATISTICSQ2

KRIGINGQ2

DEMQ2

Abstract

Many hydrological models require high resolution RAINFALL data. The aim of this paper was to interpolate annual and monthly RAINFALL in Golestan province from sparse point data. To do this the methods, which make use of secondary variables (e.g. a digital elevation model, DEM) for RAINFALL estimation were compared with those, which do not make use of such information in estimation. The methods applied included univariate interpolation algorithms such as inverse square distance and ordinary kiriging and multivariate geostatistical algorithms such as cokriging, KRIGING with an external drift and simple KRIGING with varying local means. The performance of each interpolator was assessed through examination of mapped estimates of RAINFALL and crossvalidation. It was concluded that cokriging provides the most accurate estimates of RAINFALL for May to October except June which was best estimated using kiriging with an external drift judging by the cross-validation estimation error summary statistics. For other periods ordinary KRIGING yielded more accurate RAINFALL predictions than other interpolators. The worst algorithm was inverse square distance that ignores both the elevation and RAINFALL records at neighboring stations. Relative nugget effect of semivariograms and correlation between RAINFALL and elevation affected the performance of different methods. For instance, ordinary KRIGING outperformed other technique when the correlation between RAINFALL and elevation was less than 0.5.

Cites

SPATIAL ANALYSIS OF PRECIPITATION WITH ELEVATION AND DISTANCE TO SEA (CASE STUDY: SISTAN AND BALUCHESTAN PROVINCE)

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APA: Copy

DELBARI, MASOOMEH, AFRASIAB, PEYMAN, & JAHANI, SAMANEH. (2012). ASSESSING THE EFFECT OF INCORPORATING A DIGITAL ELEVATION MODEL (DEM) INTO THE ESTIMATION OF ANNUAL AND MONTHLY RAINFALL IN GOLESTAN PROVINCE. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 6(2), 118-132. SID. https://sid.ir/paper/131449/en

Vancouver: Copy

DELBARI MASOOMEH, AFRASIAB PEYMAN, JAHANI SAMANEH. ASSESSING THE EFFECT OF INCORPORATING A DIGITAL ELEVATION MODEL (DEM) INTO THE ESTIMATION OF ANNUAL AND MONTHLY RAINFALL IN GOLESTAN PROVINCE. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2012;6(2):118-132. Available from: https://sid.ir/paper/131449/en

IEEE: Copy

MASOOMEH DELBARI, PEYMAN AFRASIAB, and SAMANEH JAHANI, “ASSESSING THE EFFECT OF INCORPORATING A DIGITAL ELEVATION MODEL (DEM) INTO THE ESTIMATION OF ANNUAL AND MONTHLY RAINFALL IN GOLESTAN PROVINCE,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 6, no. 2, pp. 118–132, 2012, [Online]. Available: https://sid.ir/paper/131449/en

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