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충격 신호 분석에 기반한 침식 지수 개발

Estimation of Erosion Index Based on Impact Signal Analysis

  • 투고 : 2019.12.13
  • 심사 : 2020.06.15
  • 발행 : 2020.06.30

초록

이 연구는 브라질 북동부의 Maceió-Alagoas 지역에서 강우로 인한 토양의 침식 지수를 추정할 수 있는 알고리즘을 결정하는 것을 목적으로 한다. 2003년부터 2006년까지 10분 이상 지속된 680회의 강우 사례에서 수집한 분당 26,889개의 데이터 샘플은 우적 크기 분포에 따라 분류되었다. 종속 변수와 독립 변수로 구성된 방정식은 99%의 결정 계수로 침식지수를 추정한다. 최소 강우 강도와 침식도의 관계는 통계적 유의성으로 검증되었다.

This study is aimed at determining an algorithm capable of estimating the erosion index of rainfall for the region of Maceió-Alagoas in the northeast of Brazil. The sample of the truncated data from 2003 to 2006 counts 26,889 droplet size distributions integrated per minute, with 680 rain events with duration longer than 10 minutes. The equation proposed to estimate erosion index used as a dependent variable and independent variable, presenting a coefficient of determination of 99%. The statistical significance validated the relation between minimum rainfall intensity and erosion.

키워드

참고문헌

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