Abstract
Rain characteristics are important characteristics to know and predict their response to overall climate change. The purpose of this study is to determine the characteristics of rain and its effect on the erosivity of rain and to make a relationship between rain erosivity and rain. The method used is the rain pattern, the nature of rain, rain erosivity, and double linear lines. The analysis was carried out using rain data at Singkoyo and Waru Stations with observation periods from 1997-2017 (21 years). The calculation results show that the rain characteristic is patterned C or opposite of A pattern; rain characteristics greatly affect the size of the rain erosivity; BN, N and AN values are not the same for the two rain stations because they are strongly influenced by the statistical parameters of the rain; multiple regression equations for Singkoyo Station, ET0 = 8,890 + 18,681 Rmonth - 21,594 N + 5,574 Rmax and for Waru Station, ET0 = -29,163 + 10,581 Rmonth - 6,150 N + 13,156 Rmax.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
