Analysis of the relationship between the kinetic energy and intensity of rainfall in Daejeon, Korea

Lim, Yaeji; Kim, Jin Kwan; Kim, Jong Wook; Park, Byong Ik; Kim, Min Seok

doi:10.1016/j.quaint.2015.03.021

Cited by 46 publications

(36 citation statements)

References 50 publications

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“…For example, Lee, Lee, and Julien () examined the global and regional scale climatic teleconnections using the rainfall erosivity index variability over South Korea. Rosewell (), Angulo‐Martínez and Barros (), and Lim, Kim, Kim, Park, and Kim () affirmed that the differences in the KE mm equation for different regions were significant and that the outcomes varied when estimating using the rainfall record of different years (Leek & Olsen, ). In addition, KE mm and raindrop size are correlated.…”

Section: Introductionmentioning

confidence: 96%

“…Using the ground-based flour pellet method proposed by Laws and Parsons (1943), Wischmeier and Smith (1958) measured raindrop size and developed the USLE. Because their method could not be used to observe raindrop size at all times and there was still room for accuracy improvements, Rosewell (1986), Angulo-Martínez and Barros (2015), and Lim et al (2015) collected raindrop size data using a disdrometer to enhance observation accuracy. In addition, as both the RUSLE and the USLE can be used to calculate KE mm per unit volume, Salles, Poesen, and Sempere-Torres (2002) and Angulo-Martínez and Barros (2015) replaced KE mm per unit volume with KE mm per unit time (KE time ) to improve the accuracy of the estimation of E.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of rainfall kinetic energy and erosivity in northern Taiwan using kriging with climate characteristics

Liao

Guo

Fan

et al. 2019

Soil Use and Management

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A localized rainfall kinetic energy (E) equation and an erosivity map were developed, and the suitability of the universal soil loss equation (USLE) for assessing the soil erosion of a non‐US region was investigated. After accurately measuring and gathering data regarding raindrop size using disdrometers in four northern Taiwan locations, this study investigated the drop size distribution under different conditions by categorizing the rainfall patterns to develop regression equations for estimating the unit volume‐specific kinetic energy (KEmm) and the unit time‐specific kinetic energy (KEtime) of northern Taiwan. Climate zoning, which is not considered in currently used designs, was then implemented along with two‐stage cluster analysis to construct a rainfall erosivity (R) distribution map using the kriging model. The binary polynomial regression function of KEtime, which had the highest correlation (R2 = 0.98), was suggested to estimate E in northern Taiwan. It was found that the pattern and intensity (I) of rainfall will slightly affect E. The climatic influence on the root mean square of the semivariogram was significant, which suggests that climate zoning can help estimate the rainfall erosivity (R). The outcomes were extended to estimate R in areas without rainfall stations.

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Evaluation of rainfall kinetic energy and erosivity in northern Taiwan using kriging with climate characteristics

Liao

Guo

Fan

et al. 2019

Soil Use and Management

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“…Ziadat and Taimeh [13] reported that soil erosion on cultivated land was primarily affected by moisture content, whereas on uncultivated land it was mostly affected by slope steepness. Lim et al [14] suggested that a power function relationship existed between raindrop energy and rainfall intensity. Free [15] showed that the splash erosion amount was positively correlated with rainfall energy and that raindrop energy was an important index to evaluate the degree of soil erosion caused by rainfall [14].…”

Section: Introductionmentioning

confidence: 99%

Raindrop Energy Impact on the Distribution Characteristics of Splash Aggregates of Cultivated Dark Loessial Cores

Wang

et al. 2019

Water

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To determine the effect of different rainfall energy levels on the breakdown of soil aggregates, this study analyzed the soil splash erosion amounts and the distribution of particle sizes under six rainfall conditions (rainfall energy: 2.41 × 10−5–22.4 × 10−5 J m−2 s−1 and 1.29 × 10−4 J m−2 s−1) at five splash distances (from 0–10 cm to 40–50 cm). Cores of the size 10 × 20 cm of undisturbed cultivated dark loessial soil were selected in tree replicates as the research subject. The results indicated that splashed aggregates were distributed mainly at splash distances of 0–20 cm, which accounted for 66%–90% of the total splash erosion amount. The splash erosion amount significantly decreased exponentially with increasing splash distance for the same rainfall energy (p < 0.01). The splash erosion amount significantly increased in the power function relationship with increasing rainfall energy at the same splash distance (p < 0.05). A model was obtained to predict the splash erosion amount for rainfall energy and splash distance. The fractal dimension (D) of the aggregates showed a downward opening parabolic relationship with raindrop energy. The maximal value of the rainfall energy was 1.286 × 10−4 J m−2 s−1, which broke the aggregates to the largest degree. Enrichment ratio (ER) values for fragments >2 mm were close to 0. A particle size of 0.25 mm was the critical particle level for splash erosion.

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“…Quanto maior a intensidade, maior a possibilidade de perda de solo por erosão. A relação entre intensidade e energia tem sido desenvolvida por diferentes autores tais como Angulo-Martínez e Barros (2015), Lim et al, (2015), Meshesha et al, (2016), entre outros nos últimos anos.…”

Section: Introductionunclassified

Erosividade das precipitações em ecossistemas tropicais: haverá diferença dentro de uma mesma zona climática? (Rainfall erosivity in tropical ecosystems: is there difference within a same climate zone?)

Hernández

Freitas

Takushi

et al. 2018

Rev. Bras. Geog. Fis.

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SP. mht@usp.br 4 Professor do Centro de Energia Nuclear na Agricultura, CENA/USP, Piracicaba -SP. qdjvlier@usp.br Artigo recebido em 13/09/2017 e aceito em 29/03/2018 R E S U M O Diversos fatores atuam nas condições climáticas de uma região, sendo esses classificados de acordo com sua microescala, topoescala ou macroescala. Entretanto, o fato de Cuba e o Brasil possuírem características climáticas semelhantes, e que as bacias selecionadas para o estudo fiquem na mesma faixa latitudinal, não significa que possuirão igual comportamento erosivo das precipitações. Visando aprimorar o conhecimento sobre a erosividade das chuvas em climas tropicais, este trabalho objetivou caracterizar o potencial erosivo das precipitações nas bacias do Rio Mogi Guaçu (Hemisfério Sul, Brasil) e do Rio Cuyaguateje (Hemisfério Norte, Cuba), facilitando a comparação entre climas aparentemente muito semelhantes. Para desenvolver a pesquisa foram utilizados dados de um período de 20 anos (1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999) para cada bacia, sendo dados pluviográficos para a bacia cubana e pluviométricos para a bacia brasileira. Em adição, modelos de erosividade como o fator R de RUSLE e o Índice Modificado de Fournier foram utilizados para determinar a mesma. Os resultados mostram que a bacia do Rio Cuyaguateje apresenta consideravelmente maior erosividade anual variando entre 8294.6 a 18467.0 MJ mm ha -1 h -1 ano -1 , enquanto a bacia do Rio Mogi Guaçu possui erosividade anual variando de 3542.1 a 4461.5 MJ mm ha -1 h -1 ano -1 , demostrando que apesar de ambas bacias possuírem acumulados de precipitações anuais semelhantes, a bacia cubana pode ser considerada mais energizada quando se trata de precipitações. Palavras-chave: Comparações do Clima, Chuva, EI30, Índice de Fournier Modificado. Rainfall erosivity in tropical ecosystems: is there difference within a same climate zone? A B S T R A C TSeveral factors are involved in the formation of climatic conditions within a given region which may be classified according to the microscale, mesoscale, and macroscale effects. Although Cuba and Brazil belong to the same climatic range, and the study basins selected are in the same latitude, it does not mean they have the same pattern in rainfall erosivity. Aiming to enrich the knowledge of rainfall erosivity in tropical climates, the objective of this study is to characterize and compare the erosivity potential of rainfall in the Cuyaguateje (Northern Hemisphere, Cuba) and Mogi Guaçu (Southern Hemisphere, Brazil) basins; areas which have very similar climates. The research considered a 20-year period (1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999), using the pluviographic and pluviometric data for the Cuban and Brazilian basins, respectively. Erosivity potential was calculated according to the R-factor (from RUSLE) and Modified Fournier Index models. The results showed that Cuyaguateje river b...

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Analysis of the relationship between the kinetic energy and intensity of rainfall in Daejeon, Korea

Cited by 46 publications

References 50 publications

Evaluation of rainfall kinetic energy and erosivity in northern Taiwan using kriging with climate characteristics

Evaluation of rainfall kinetic energy and erosivity in northern Taiwan using kriging with climate characteristics

Raindrop Energy Impact on the Distribution Characteristics of Splash Aggregates of Cultivated Dark Loessial Cores

Erosividade das precipitações em ecossistemas tropicais: haverá diferença dentro de uma mesma zona climática? (Rainfall erosivity in tropical ecosystems: is there difference within a same climate zone?)

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