Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paraná, Brazil

Terassi, Paulo Miguel de Bodas; Galvani, Emerson

doi:10.3390/cli5030053

Cited by 24 publications

(12 citation statements)

References 29 publications

(37 reference statements)

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“…Many studies have opted for cluster analysis in identifying homogeneous rainfall regions, e.g., Terassi et al [23], Lyra et al [24], Goyal et al [25] and Oliveira-Junior et al [26]. However, the approaches and the algorithms used to perform the cluster analysis are inherently different.…”

Section: Cluster Analysismentioning

confidence: 99%

A Novel Approach for Delineation of Homogeneous Rainfall Regions for Water Sensitive Urban Design—A Case Study in Southeast Queensland

Rasheed

Egodawatta

Goonetilleke

et al. 2019

Water

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The delineation of homogeneous regions is primarily based on long-term overall rainfall characteristics and therefore does not necessarily consider the homogeneity of event-based rainfall characteristics. However, event-based rainfall characteristics including antecedent dry days, rainfall intensity, total rainfall and total duration of rainfall events are critical for Water Sensitive Urban Design (WSUD). Accordingly, this study presents a novel approach to objectively identify homogeneous rainfall regions based on event-based rainfall characteristics. This approach uses cluster analysis and Hosking–Wallis heterogeneous tests collectively to test the homogeneity of event-based rainfall characteristics. A case study conducted for southeast Queensland (SEQ), Australia is also presented in this article. This study compares the results of the novel modified approach against results of the conventional approach for the delineation of homogeneous regions. It was evident from the results that the entire SEQ could be treated as a homogeneous rainfall region based on the conventional approach. In contrast, based on the modified approach, the coast and the inland of SEQ were identified as separate homogeneous regions. Further, antecedent dry days and rainfall intensity were recognized as the deciding rainfall characteristics in the delineation of homogeneous rainfall regions.

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“…The delimitation of regions with similar hydrometeorological conditions involved a statistical analysis of the data observed in the study area [32,33] by means of the regionalization method suggested by Hosking and Wallis [34]. This method defines statistical parameters similarly to the traditional L-moments, which, in turn, involves the calculation of the β estimators (Equations (5)-(8)).…”

Section: Delimiting Homogeneous Regionsmentioning

confidence: 99%

Analysis of the Behavior of Daily Maximum Rainfall within the Department of Atlántico, Colombia

Viloria-Marimón

González-Álvarez²,

Mouthon-Bello

2019

Water

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In the Colombian Caribbean region, there are few studies that evaluated the behavior of one of the most commonly used variables in hydrological analyses: the maximum daily rainfall (Pmax-24h). In this study, multiannual Pmax-24h time series from 19 rain gauges, located within the department of Atlántico, were analyzed to (a) determine possible increasing/decreasing trends over time, (b) identify regions with homogeneous behavior of Pmax-24h, (c) assess whether the time series are better suited under either a stationary or non-stationary frequency analysis, (d) generate isohyetal maps under stationary, non-stationary, and mixed conditions, and (e) evaluate the isohyetal maps by means of the calculation of areal rainfall (Pareal) in nine watersheds. In spite of the presence of both increasing and decreasing trends, only the Puerto Giraldo rain gauge showed a significant decreasing trend. Also, three regions (east, central, and west) with similar Pmax-24h behavior were identified. According to the Akaike information criterion test, 79% of the rain gauges showed better fit under stationary conditions. Finally, statistical analysis revealed that, under stationary conditions, the errors in the calculation of Pareal were more frequent, while the magnitude of the errors was larger under non-stationary conditions, especially in the central–south region.

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“…The identi cation HRRD can serve as a support for mitigating the impacts caused by the rainfall. HRRD are regions that have statistical similarities in the distribution of rainfall over a long period of time (Hosking and Wallis, 1997;Terassi and Galvani, 2017).…”

Section: Introductionmentioning

confidence: 99%

Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters

2021

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Understanding the occurrence of natural disasters in regions where the occurrence is high is very important, it is known that the occurrence of disasters associated with intense rains are a source of research in different locations around the globe, being important not only for increasing accuracy of weather forecasting models, but important information for civil defense, where lives can be saved. The increase in the occurrence of natural disasters related to extreme rainfalls has become a problem of large urban centers, such as the city of Rio de Janeiro (CRJ). Thus, the identi cation of homogeneous regions for rainfall distribution (HRRD) becomes essential to identify regions at risks of oods and mass movements. The aim of this research was to identify HRRD in CRJ associated to the risk of natural disasters. The identi cation of homogeneous regions was carried out with the use of monthly rainfall data from 14 pluviometric stations spatially distributed in the study area between 1997 and 2018.Rainfall data were submitted to descriptive statistical analysis, and subsequently to Cluster Analysis.Cluster analysis identi ed 4 homogeneous groups regarding annual rainfall distribution. The result showed relevance regarding physiographic aspects that characterize the rainfall dynamics in CRJ, highlighting areas favorable to the occurrence of natural disasters.

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“…In this context, an important number of studies about rainfall variability in Paraná State have been developed, using a larger network of stations and employing more robust and sophisticated analysis. Several studies have offered more plausible explanations of rainfall variability and impacts, e.g., the works of Nery et al (1996Nery et al ( , 1997, Silva and Guetter (2003), Grimm (2009a, b), Nascimento Jr. (2013), Carmello and Sant'Anna (2016) , Nascimento Jr. and Sant'Anna (2016), Ely and Dubreuil (2017), Terassi and Galvani (2017) and Ely (2019).…”

Section: Introductionmentioning

confidence: 99%

Trends and rainfall tropicalization in Paraná State, south of Brazil

Júnior¹,

Silvestre

Neto

2020

Atm.

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Con el fin de detectar áreas y periodos de reducción e incremento de precipitaciones en el estado de Paraná, al sur de Brasil, se analizan las tendencias espaciales y temporales de las lluvias desde 1976 hasta 2011. Se utilizaron datos mensuales de lluvia acumulada (mm) de 63 estaciones pluviométricas distribuidas en todo el estado. Los datos se agruparon en valores trimestrales (otoño, invierno, primavera y verano), estacionales (temporada seca y lluviosa) y anuales. Todos los valores fueron evaluados para la homogeneidad y las tendencias utilizando las pruebas de Mann-Whitney-Pettitt y Mann-Kendall, así como análisis de regresión lineal. Los resultados indican una transición en la precipitación detectada en el periodo 1991-1999, con un registro máximo en 1993. Las tendencias indican un aumento promedio de 4.03 mm en la temporada de lluvias, principalmente en los sectores en que predominan los climas subtropical y costero. Los resultados coadyuvan a una mejor comprensión de los patrones y la variabilidad de las lluvias en las zonas tropicales y el hemisferio sur, y suponen la presencia de un proceso moderado de tropicalización pluviométrica en el clima subtropical del estado de Paraná.

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“…The State of Tocantins also went through a group analysis (cluster analysis using Ward's algorithm) and three pluviometrically homogeneous regions were definedaccording to Oliveira Júnior et al (2017). Besides Terassi and Galvani (2017) identified homogeneous rainfall regions in the Eastern Watersheds of the State of Paraná, Brazil. The methodology applied was Ward's method for hierarchical grouping.…”

Section: Introductionmentioning

confidence: 99%

Rainfall zoning of Bahia State, Brazil: an update proposal

Simões¹,

Cohim²,

Araújo³

2018

Rev. ambiente água

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The state of Bahia's main climatic characteristic is the high spatial and chronological variability of precipitation. This heterogeneity may be used to determine of pluviometrically homogeneous areas that can define mesoregions in the state, since they allow better management of water resources and help in the elaboration of agricultural studies. The mesoregions already proposed by the scientific community for the state were based only on the annual precipitation in the proximity of the pluviometric stations. In this paper, besides these parameters, spatial and chronological rainfall distribution was considered, i.e., the Precipitation Concentration Degree (PCD) and Precipitation Concentration Period (PCP). The new zoning is based on an update of a study defined in 2000 that divided Bahia into eight mesoregions. Thus, 180 pluviometric stations were distributed throughout the state and grouped conforming to the division previously described. It was concluded that some stations of the same mesoregion had presented conflicting values for the analyzed parameters and, therefore, should not belong to the same area. Starting from an arrangement of the collection stations, considering their proximity, annual precipitation and statistical parameters, a new zoning for Bahia with 10 clusters was defined and validated through the statistical treatment of data. (PCP). O novo zoneamento se baseia em uma atualização de um estudo definido em 2000 que repartiu a Bahia em oito mesorregiões. Para isso, 180 postos pluviométricos foram distribuídos pelo estado e agrupados conforme a repartição descrita anteriormente. A partir da análise dos parâmetros de chuva para as estações de um mesmo agrupamento foi constatado que alguns postos pluviométricos, pertencentes a uma mesma mesorregião, apresentaram valores discrepantes para os parâmetros analisados e, portanto, não deveriam ocupar a mesma área. A partir de um ordenamento dos postos de coleta, levando em consideração a proximidade dos mesmos, a precipitação total anual e as grandezas estatísticas, foi definido um novo zoneamento para a Bahia com 10 agrupamentos e validação comprovada através de um tratamento estatístico dos dados.Palavras-chave: agrupamentos, mesorregiões, variabilidade de precipitações.

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Identification of Homogeneous Rainfall Regions in the Eastern Watersheds of the State of Paraná, Brazil

Cited by 24 publications

References 29 publications

A Novel Approach for Delineation of Homogeneous Rainfall Regions for Water Sensitive Urban Design—A Case Study in Southeast Queensland

Analysis of the Behavior of Daily Maximum Rainfall within the Department of Atlántico, Colombia

Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters

Trends and rainfall tropicalization in Paraná State, south of Brazil

Rainfall zoning of Bahia State, Brazil: an update proposal

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