scholarly journals Using Copulas to Evaluate Rationality of Rainfall Spatial Distribution in a Design Storm

Water ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 758 ◽  
Author(s):  
Leizhi Wang ◽  
Qingfang Hu ◽  
Yintang Wang ◽  
Zhenduo Zhu ◽  
Lingjie Li ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Design Storm ◽  
Rainfall Spatial Distribution

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

2021 ◽  
Vol 3 (7) ◽  
Author(s):  
Denis Rafael Silveira Ananias ◽  
Gilberto Rodrigues Liska ◽  
Luiz Alberto Beijo ◽  
Geraldo José Rodrigues Liska ◽  
Fortunato Silva de Menezes
Keyword(s):  
Spatial Distribution ◽  
Mean Squared Error ◽  
Rio Grande ◽  
The State ◽  
Annual Rainfall ◽  
Rio Grande Do Sul ◽  
Rainfall Distribution ◽  
Interpolation Methods ◽  
Squared Error ◽  
Rainfall Spatial Distribution

AbstractAn accurate analysis of spatial rainfall distribution is of great importance for managing watershed water resources, in addition to giving support to meteorological studies and agricultural planning. This work compares the performance of two interpolation methods: Inverse distance weighted (IDW) and Kriging, in the analysis of annual rainfall spatial distribution. We use annual rainfall data for the state of Rio Grande do Sul (Brazil) from 1961 to 2017. To determine which proportion of the sample results in more accurate rainfall distribution maps, we use a certain amount of points close to the estimated point. We use mean squared error (MSE), coefficient of determination (R2), root mean squared error (RMSE) and modified Willmott's concordance index (md). We conduct random fields simulations study, and the performance of the geostatistics and classic methods for the exposed case was evaluated in terms of precision and accuracy obtained by Monte Carlo simulation to support the results. The results indicate that the co-ordinary Kriging interpolator showed better goodness of fit, assuming altitude as a covariate. We concluded that the geostatistical method of Kriging using nine closer points (50% of nearest neighbors) was the one that better represented annual rainfall spatial distribution in the state of Rio Grande do Sul.

A preliminary analysis of rainfall spatial distribution at catchment scale

2015 ◽  
Author(s):  
Maura Rianna ◽  
Valeria Montesarchio ◽  
Francesco Napolitano ◽  
Lucio Ubertini
Keyword(s):  
Spatial Distribution ◽  
Preliminary Analysis ◽  
Catchment Scale ◽  
Rainfall Spatial Distribution

scholarly journals Effects of Rainfall Spatial Distribution on the Relationship between Rainfall Spatiotemporal Resolution and Runoff Prediction Accuracy

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 846
Author(s):  
Changhwan Kim ◽  
Dae-Hong Kim
Keyword(s):  
Spatial Distribution ◽  
Prediction Accuracy ◽  
Real Field ◽  
Efficiency Coefficient ◽  
Spatiotemporal Resolution ◽  
Radar Rainfall ◽  
Spatial Moment ◽  
Runoff Prediction ◽  
Rainfall Spatial Distribution ◽  
The Relationship

We studied how rainfall spatial distribution affects the relationship between rainfall spatiotemporal resolution and runoff prediction accuracy under real field conditions. We gathered radar rainfall and discharge data for three rainfall events. These rainfall-runoff events were then reproduced using a kinematic wave model. Modeling accuracy was estimated quantitatively using the Nash–Sutcliffe model efficiency coefficient and peak discharge ratio. Normalized root-mean-square error ( nRMSE ), skewness ( S k ), and second scaled spatial moment of catchment rainfall ( δ 2 ) were employed to quantify rainfall spatial distribution characteristics. By relating the accuracy of modeling results to the rainfall spatial characteristics using various rainfall spatiotemporal resolutions, we found that the modeling results converged to a value as the nRMSE , | S k | and | 1 − δ 2 | decreased. That is, rainfall spatial distributions affect the relationship between lower limit of rainfall spatiotemporal resolution for runoff models and runoff prediction accuracy.

scholarly journals Relation between rainfall spatial distribution and runoff components in meso scales tropical basin

2003 ◽  
pp. 35
Author(s):  
Fernando Frosini de Barros Ferraz ◽  
Jefferson Mortatti
Keyword(s):  
Spatial Distribution ◽  
Rainfall Spatial Distribution

O objetivo desse trabalho é verificar a existência de diferenças significativas no escoamento superficial e subterrâneo entre sub-bacias com diferentes tipos de solo na bacia do rio Piracicaba/SP Para isso foi estudada a distribuição espacial da precipitação no período considerado no estudo (1995 -1997) e para um período de 30 anos (1962 - 1993) com a utilização de um Sistema de Informações Geográficas. Para a separação do escoamento total utilizou-se uma técnica estatística de filtros numéricos, que demonstrou que os escoamentos superficial e subterrâneo são semelhantes em todas as sub-bacias estudadas, independente da formação geológica e do uso do solo

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