The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
권호 표지
DOI QR코드

DOI QR Code

Kinetic Energy Rate of the Rain Drops Based on the Impact Signal Analysis

충격 신호 분석에 기반한 우적의 운동 에너지율

  • Received : 2019.07.10
  • Accepted : 2019.08.15
  • Published : 2019.08.31

Abstract

The erosive potential of precipitation can be evaluated by the kinetic energy transferred to the soil by the impact of the rain drop. A kinetic energy rate of the rain drops was estimated by the disdrometer classifying impact signals. This equation in the form of power presented an adjustment measure between the rain rate and rainfall quantity of 97% and 95% for continental and maritime rains, respectively. The exponent of the power equation, initially, shows no dependence on the type of rainfall. However, the multiplicative factor presented variation, which can be adjusted according to rainfall events. This equation was validated by the coefficient of determination, the average absolute error and the confidence error. The kinetic energy of precipitation, associated to certain types of soil, will allow the determination of the potential of the erosion caused by the rains.

Keywords

Kinetic Energy Rate;Disdrometer;Drop Size Distribution;Erosion;Continental Rainfall

File

Download PDF

KCTSAD_2019_v14n4_743_f0001.png 이미지

Fig. 1. Distribution of rainfall drop size according to the origin (maritime or continental) and classes of R (D = Diameter and R = rainfall).

KCTSAD_2019_v14n4_743_f0002.png 이미지

Fig. 2. Total number of drops (NT) and precipitation rate (R).

Table 1. Static characteristics of rainfall.

KCTSAD_2019_v14n4_743_t0001.png 이미지

Table 2. Values A and b of the equations. Power for systems of rainfall production of the marine and continental type.

KCTSAD_2019_v14n4_743_t0002.png 이미지

Table 3. Relative error of the power equation analysis in different classes of rain intensity to determine the approximate value of the kinetic energy rate for the continental type rainfall.

KCTSAD_2019_v14n4_743_t0003.png 이미지

Table 4. Relative error of the power equation analysis in different classes of rain intensity to determine the approximate value of the kinetic energy rate for the maritime type rainfall.

KCTSAD_2019_v14n4_743_t0004.png 이미지

Acknowledgement

Supported by : KMIPA

References

  1. L. Molion and S. Bernardo, "Uma revisao da dinâmica das chuvas no Nordeste Brasileiro," Revista Brasileira Meteorologia, vol. 17, no. 1, 2002, pp. 1-10.
  2. V. Eousky and M. Gan, "Upper tropospheric cyclonic vortices in the tropical South Atlantic," Tellus, vol. 33, no. 6, 1981, pp. 538-551. https://doi.org/10.1111/j.2153-3490.1981.tb01780.x
  3. N. Brady and R. Weil, Elements of the nature and properties of soils. Porto Alegre-RS: Bookman, 2013.
  4. P. I. A. Kinnell, "Rainfall intensity-kinetic energy relationships for soil loss prediction," Soil Science Society of America, vol. 45, no. 1, 1981, pp. 153-155. https://doi.org/10.2136/sssaj1981.03615995004500010033x
  5. C. Rosewell, "Rainfall kinetic energy in Eastern Australia," J. Appl. Meteorol. Climatol., vol. 25, no. 11, 1986, pp. 1695-1701. https://doi.org/10.1175/1520-0450(1986)025<1695:RKEIEA>2.0.CO;2
  6. M. Steiner and J. A. Smith, "Reflectivity, Rain Rate and Kinetic Energy Flux Relationships Based on Raindrop Spectra," J. Appl. Meteorol. Climatol., vol. 39, no. 11, 2000, pp. 1923-1940. https://doi.org/10.1175/1520-0450(2000)039<1923:RRRAKE>2.0.CO;2
  7. C. Salles, J. Poesen, and D. Sempere-Torres, "Kinetic energy of rain and its functional relationship with intensity," J. of Hydrology, vol. 257, no. 1-4, 2002, pp. 256-270. https://doi.org/10.1016/S0022-1694(01)00555-8
  8. M. C. da Silva Moraes, "Parametros de radar e distribuicao do tamanho de gotas de chuva continental e marinha no leste do nordeste do Brasil: sua influencia na estimativa da vazao na Bacia do Rio Mundau," Doctoral Thesis, Universidade Federal de Campina Grande, 2011.
  9. W. Wischmeier and D. Smith, "Rainfall energy and its relation to soil loss," Transactions of the American Geophysical Union, vol. 39, no. 2, 1958, pp. 285-291. https://doi.org/10.1029/TR039i002p00285
  10. M. S. V. Cabeda, Computation of storm EI values. West Lafayette: Purdue University, 1976.
  11. R. Tenorio, B. Kwon, L. Molion, and D. Quintao, "Radar Rainfall Studies over Eastern Coast of Northeast Brazil," J. of the Kor. Meteorol. Soc., vol. 39, no. 6, 2003, pp. 699-707.
  12. R. Tenorio, M. Moraes, and H. Sauvageot, "Raindrop Size Distribution and Radar Parameters in Coastal Tropical Rain Systems of Northeastern Brazil," J. Appl. Meteorol. Climatol., vol. 51, no. 11, 2012, pp. 1960-1970. https://doi.org/10.1175/JAMC-D-11-0121.1
  13. N. Yu, B. Boudevillain, G. Delrieu, and R. Uijlenhoet, "Estimation of rain kinetic energy from radar reflectivity and/or rain rate based on a scaling formulation of the raindrop size distribution," Water Resources Research, vol. 48, no. 4, 2012, pp. 1-13. https://doi.org/10.1016/j.advwatres.2012.07.002