Spatiotemporal mapping of rainfall erosivity index for different return periods in Iran

Sadeghi, Seyed Hamidreza; Zabihi, Mohsen; Vafakhah, Mehdi; Hazbavi, Zeinab

doi:10.1007/s11069-017-2752-3

Cited by 47 publications

(28 citation statements)

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“…Yang and Yu (2015) indicated that the parameters of Lu and Yu (2002) may change with the period of reference and improved the model by using the geographic location and elevation to predict the parameters instead of rainfall. The second one is to estimate the at‐site rainfall erosivity with observations first and then interpolate erosivity values for the sites without observations by geostatistical techniques such as inverse distance weighting (Sadeghi et al, 2017), ordinary kriging (Oliveira et al, 2012a), co‐kriging (Qin et al, 2016), regression kriging (Meusburger et al, 2012; Borrelli et al, 2016), or Gaussian process regression (Panagos et al, 2015). Geographical location, elevation, annual rainfall, and topography are usually used as covariates in the smoothing process (Goovaerts, 1999; Naipal et al, 2015).…”

Section: Mapping Outside the United Statesmentioning

confidence: 99%

Rainfall Erosivity: An Overview of Methodologies and Applications

Yin

Nearing

Borrelli

et al. 2017

Vadose Zone Journal

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The rainfall erosivity factor (R factor) is one of six erosion factors in the Universal Soil Loss Equation (USLE), which together reflect the combined effects that cause soil loss by rill and interrill erosion on hillslopes by precipitation. It is defined as the summation of event EI 30 (the product of kinetic energy and maximum 30-min intensity) over a year and calculated based on rainfall hyetograph data. The R factor was developed in the various versions of the USLE, including the definition of the individual event and the criterion for selecting events used in the calculation, the equation used to estimate the unit kinetic energy from the rainfall intensity, the estimation of erosivity from the snowmelt and thaw, and erosivity mapping. Most research on rainfall erosivity deals with any of three aspects: developing estimation methods for deriving erosivity from courser resolution rainfall data (such as daily, monthly, and annual) but with greater spatial and temporal coverages than those from hyetograph data; preparing erosivity maps including those for annual average, monthly, and 10-yr recurrence erosivity; and documenting temporal trends in erosivity. Rainfall erosivity research on these three aspects is summarized to provide a greater understanding of the R factor.

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Section: Mapping Outside the United Statesmentioning

confidence: 99%

Rainfall Erosivity: An Overview of Methodologies and Applications

Yin

Nearing

Borrelli

et al. 2017

Vadose Zone Journal

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“…According to Ferro et al (1991), places with the same mean annual R factor may actually have different R factor values for storms in different return periods that should be considered in applying managerial strategies. Sadeghi et al (2017) comments that return period analysis was adopted as a tool to help engineers and hydrologists to deal with this uncertainty.…”

Section: Return Period (Years)mentioning

confidence: 99%

“…Sadeghi et al (2017) highlights that a proper forecasting of rainfall erosivity and soil erosion is difficult due to the governing uncertainties regarding rainfall storms: they can vary from day to day and be random and unpredictable. Nonetheless, such processes might be evaluated based on probabilistic approaches like frequency distribution analysis leading to an estimation of variable magnitudes with different return periods.…”

Section: Introductionmentioning

confidence: 99%

Erosive rainfall in the Rio do Peixe Valley: Part III - Risk of extreme events

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Pola

Ladwig

et al. 2018

Rev. bras. eng. agríc. ambient.

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Understanding the risks of extreme events related to soil erosion is important for adequate dimensioning of erosion and runoff control structures. The objective of this study was to determine the rainfall erosivity with different return periods for the Valley of the Rio do Peixe in Santa Catarina state, Brazil. Daily pluviographic data series from 1984 to 2014 from the Campos Novos, and Videira meteorological stations and from 1986 to 2014 from the Caçador station were used. The data series of maximum annual rainfall intensity in 30 min, maximum annual erosive rainfall, and total annual erosivity were analyzed for each station. The Gumbel-Chow distributions were adjusted and their adhesions were evaluated by the Kolmogorov-Smirnov test at a significance level of 5%. The Gumbel-Chow distribution was adequate for the estimation of all studied variables. The mean annual erosivity corresponds to the return period of 2.25 years. The data series of the annual maximum individual rainfall erosivity coefficients varied from 47 to 50%.

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“…Urussanga (SC) e Back et al (2016) Sadeghi et al (2017) comentam que a análise do período de retorno é uma ferramenta para ajudar os engenheiros a lidar com a incerteza, e é importante para se tomar as melhores decisões para controlar e controlar a erosão do solo com base em análises de informações e eventos aceitáveis que ocorram no passado. …”

Section: Chuva Ei30unclassified

“…O transporte e arraste das partículas minerais e orgânicas, além de carrear fertilizantes e pesticidas aplicados na adubação para os lagos, açudes e rios, podendo gerar problemas de assoreamento dos recursos hídricos (CASSOL et al, 2008). O crescimento da população mundial e as mudanças climáticas são fatores que aumentam a exploração do solo e os problemas de erosão (NAIPAL et al, 2015) A erosão hídrica é considerada como um problema sério a nível mundial do ponto de vista ambiental, econômico e social (SYVITSKI; KETTNER, 2011;LEE;LI, 2015;WANG et al, 2016;SADEGHI et al, 2017). Além de causar a degradação dos solos agrícolas e redução na produtividade, a erosão também contribui com a contaminação e poluição dos recursos hídricos e assoreamento de rios, lagos e reservatórios.…”

Section: Introductionunclassified

Avaliação Do Potencial Erosivo Das Chuvas De Florianópolis-Sc

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Poleto

2017

ABClima

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POLETO, Cristiano -cristiano.poleto@ufrgs.br Universidade Federal do Rio Grande do Sul /UFRS RESUMO: A erosão hídrica é um dos maiores problemas ambientais, determinando a redução da produtividade agrícola e compromete a qualidade e quantidade dos recursos hídricos. Este trabalho teve como objetivos determinar o potencial erosivo das chuvas da região de Florianópolis (SC), avaliar a variação mensal da erosividade, determinar as probabilidades de ocorrência de erosividade, e ajustar as equações para a estimativa da erosividade da chuva com base nos dados pluviométricos da região. Foram analisados os pluviogramas diários da estação meteorológica de Florianópolis do período de 1985 a 2012. O potencial erosivo foi estimado pelo índice EI30, que considera a energia cinética dos segmentos de chuva multiplicada pela intensidade máxima da chuva em 30 minutos (I30). Foram ajustadas as equações de regressão entre o índice de erosividade (EI30) e os coeficientes de chuva como variável dependente. No período de analisado registrou-se no pluviógrafo de Florianópolis a precipitação média anual 1.638,2 mm, destes 1.314,2 mm (80,2%) foram consideradas chuvas erosivas. Em janeiro e fevereiro as erosividade foram classificadas como muito altas, e em março e dezembro são classificadas como altas. Os menores valores de erosividade ocorrem nos meses de junho a agosto, classificados como muito baixas. O valor médio anual da erosividade é de 7.522 MJ mm ha -1 h -1 ano -1 , classificado como erosividade alta. As equações de regressão ajustadas foram significativas e podem ser usadas para estimar a erosividade da chuva na região de Florianópolis onde somente existem informações observadas em pluviômetros. A distribuição de Gumbel-Chow mostrou aderência aos dados observados pelo teste Kolmogorov-Smirnov. Os valores estimados com diferentes períodos de retorno podem ser usados incluindo um fator de risco na estimativa das perdas de solos por erosão.Palavras-chaves: precipitação; chuvas intensas; energia cinética. TEMPORAL EVALUATION OF THE RAINFALL EROSIVE POTENTIAL OF FLORIANÓPOLIS-SCABSTRACT: Water erosion is one of the major environmental problem, determining the reduction in agricultural productivity and compromising the quality and quantity of water resources. This study aimed to determine the erosive potential of rainfall in the region of Florianópolis (SC), assess the erosivity's monthly variation, determine the probability of occurrence of erosivity, and adjust the equations to estimate rainfall erosivity based on data rainfall in the region. Daily pluviograms of Florianópolis weather station from the period of 1985 to 2012 were analyzed. The erosive potential was estimated by the EI30 index, which considers the kinetic energy of rain segments multiplied by the maximum rainfall intensity in 30 minutes (I30). Regression equations were adjusted to estimate the erosivity index (EI30) with the rain coefficients as dependent variable. In the analyzed period were recorded in Florianopolis rain gauge the average annual rainfall of 1,638....

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Spatiotemporal mapping of rainfall erosivity index for different return periods in Iran

Cited by 47 publications

References 47 publications

Rainfall Erosivity: An Overview of Methodologies and Applications

Rainfall Erosivity: An Overview of Methodologies and Applications

Erosive rainfall in the Rio do Peixe Valley: Part III - Risk of extreme events

Avaliação Do Potencial Erosivo Das Chuvas De Florianópolis-Sc

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