The assessment of annual rainfall field by applying different interpolation methods in the state of Rio Grande do Sul, Brazil

نویسندگان

چکیده

Abstract An accurate analysis of spatial rainfall distribution is great importance for managing watershed water resources, in addition to giving support meteorological studies and agricultural planning. This work compares the performance two interpolation methods: Inverse distance weighted (IDW) Kriging, annual distribution. We use data state Rio Grande do Sul (Brazil) from 1961 2017. To determine which proportion sample results more maps, we a certain amount points close estimated point. mean squared error (MSE), coefficient determination ( R 2 ), root (RMSE) modified Willmott's concordance index md ). conduct random fields simulations study, geostatistics classic methods exposed case was evaluated terms precision accuracy obtained by Monte Carlo simulation results. The indicate that co-ordinary Kriging interpolator showed better goodness fit, assuming altitude as covariate. concluded geostatistical method using nine closer (50% nearest neighbors) one represented Sul.

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ژورنال

عنوان ژورنال: SN applied sciences

سال: 2021

ISSN: ['2523-3971', '2523-3963']

DOI: https://doi.org/10.1007/s42452-021-04679-1