Probability distribution models for daily rainfall data for an interior station of Brazil

Two stochastic models have been fitted to daily rainfall data for an interior station of Brazil. Of these two models, the results show a better fit to describe the data, by truncated negative probability model in comparison with Markov chain probability model. Kolmogorov-Smirnov test is applied for significance for these models. © 1983 Springer-Verlag.

Evaluation of the Tropical Rainfall Measuring Mission 3B43 product over an inland area in Brazil and the effects of satellite boost on rainfall estimates

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Statistical detection of spurious variations in daily raingauge data caused by changes in observation practices, as applied to records from various parts of the world

In the instrumental records of daily precipitation, we often encounter one or more periods in which values below some threshold were not registered. Such periods, besides lacking small values, also have a large number of dry days. Their cumulative distribution function is shifted to the right in relation to that for other portions of the record having more reliable observations. Such problems are examined in this work, based mostly on the two-sample Kolmogorov–Smirnov (KS) test, where the portion of the series with more number of dry days is compared with the portion with less number of dry days. Another relatively common problem in daily rainfall data is the prevalence of integers either throughout the period of record or in some part of it, likely resulting from truncation during data compilation prior to archiving or by coarse rounding of daily readings by observers. This problem is identified by simple calculation of the proportion of integers in the series, taking the expected proportion as 10%. The above two procedures were applied to the daily rainfall data sets from the European Climate Assessment (ECA), Southeast Asian Climate Assessment (SACA), and Brazilian Water Resources Agency (BRA). Taking the statistic D of the KS test >0.15 and the corresponding p-value <0.001 as the condition to classify a given series as suspicious, the proportions of the ECA, SACA, and BRA series falling into this category are, respectively, 34.5%, 54.3%, and 62.5%. With relation to coarse rounding problem, the proportions of series exceeding twice the 10% reference level are 3%, 60%, and 43% for the ECA, SACA, and BRA data sets, respectively. A simple way to visualize the two problems addressed here is by plotting the time series of daily rainfall for a limited range, for instance, 0–10 mm day−1.

Potencial de erosão da bacia do Rio Uberaba

Este trabalho teve por objetivo identificar qualitativamente as áreas suscetíveis à erosão laminar na bacia do Rio Uberaba, localizada em Uberaba -MG, apoiado no modelo matemático da Equação Universal de Perda de Solo (EUPS). Foram utilizadas cartas de: solos, uso e ocupação das terras, redes de drenagem, declividade e dados pluviográficos, utilizando-se de um Sistema de Informação Geográfica (SIG -IDRISI). A espacialização do potencial de erosão só foi possível a partir da estimativa da tolerância às perdas laminares para cada tipo de solo da bacia, e da profundidade dos solos, por entender que as perdas são mais significativas em solos mais rasos do que em solos muito profundos. Na análise dos resultados, verificou-se que 37% da área total da bacia do Rio Uberaba (905,24 km²) sofrem perdas de solos acima do limite de tolerância, sendo 12% em solos profundos e 25% em muito profundos, e a espacialização deste evento favorece a adoção de ações efetivas quanto à conservação dos solos da bacia.

Probabilidade de ocorrencia de periodos secos e chuvosos em Rio Claro - SP.

Using the daily rainfall data from 1961 through 1980 the frequency of dry and wet periods was determined. The results of the frequency distribution of dry and wet periods indicated that observed data fit very closely an equation of the type Y = aebn. -after English summary

Proposição e validações de equações para estimativa da erosividade de dois municípios do estado de São Paulo

The equations and extrapolation use to localities whose characteristics of soil and climate, even if partial, distinguish the town to which they were generated, still permeate in studies to estimate the rainfall erosivity (EI 30). This work has objective to propose and validate mathematical equations to estimate the rainfall erosivity of two cities of Sao Paulo State's. The adjusted to estimate obtaining and validate data of equations of erosivity (EI 30) according to values of coefficient of rain (Rc) were obtained from pluviographic and pluviometric rainfall data, respectively, using of distinct historical rainfall series. Mutiple comparisions test and confidence intervals were performed to compare absolute average of EI 30, pluviometric data (Pp), and Rc. The correlation between EI 30 and Rc was verified by of Pearson correlation coefficient. Test of the hypothesis of equality between population variance was used to compare the equations. Pluviometrics data of historical series rainfall data different than those that the models were generated were used to validate and to assess the performance of the equations, proposed of this study and compare them with another equation already consolidated in literature. The results show that for the conditions under which the study was conducted, the simple linear equations, shown to be the most appropriate to estimate the rainfall erosivity these two cities. According to the test of the hypothesis of equality variances between populations, the equations adjusted for each city differ statistically so that the rainfall erosivity of each city must be estimated by their respective equation.

As chuvas no estado do Tocantins: distribuição geográfica e gênese das variações rítmicas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

As chuvas na bacia do Paraná: aspectos temporais, espaciais e rítmicos. -

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

As chuvas e a erosividade na bacia hidrográfica do rio Jordão-PR

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

As chuvas no Paraná: Variabilidade, teleconexões, e impactos de eventos extremos

Pós-graduação em Geografia - FCT

Avaliação da ocorrência de fitoestrogenos de soja em efluente de estação de tratamento de esgoto, água superficial e subterrânea da cidade de Araraquara

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Diagnóstico da influência da bacia hidrográfica na qualidade da água do Ribeirão Baguaçu (Araçatuba, SP)

Pós-graduação em Engenharia Civil - FEIS

Variabilidade espacial e temporal de precipitação pluviométrica na bacia hidrográfica do Rio Mogi Guaçu

Pós-graduação em Geociências e Meio Ambiente - IGCE

As chuvas na bacia hidrográfica do rio Paraná, Brasil: um estudo do ritmo climático e algumas considerações sobre a vazão hídrica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da chuva produzida pelo modelo eta de previsão do tempo para o Estado de São Paulo com uso de radar meteorológico para aplicações agrícolas

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA