Assessment of Rainfall Erosivity Index using Lombardi Method for Amritsar, Punjab, India

Abstract

The erosivity thing with inside the conventional soil loss equation (USLE) affords a powerful approach ofcomparing the erosive energy of rainfall. This study estimated the erosivity factorbased on monthly and yearly periodic rush rainfall data of Amritsar, Punjab State covering a period of 45 year from1971 to 2015using Lombardi system (EI = 1.03 Vd1.51). It was found that early arrived rainfall led high erosive index.The data of seasonal distribution of precipitation illustrated that the most ferocious erosion imminence inthe area can be anticipated in August, especially in the areas that aren’t defended by foliage cover, whichmight be due to climatic change. The average periodic erosivity indicator for the megacity during theperiod of study was 744.6 MJ mm/ hr. The correlation between periodic erosivity indicator andaverageperiodic rush was expressed as Y = 0.0002x + 0.8873. The R2 of 0.79 shows that rush alone contributed 79 %of the corrosion threat within the study period. The knowledge of impact of rainfall on erosivity is essentialin soil erosion threat assessment and for soil and water conservation planning. The information on effect ofprecipitation on erosivity is important in soil disintegration threat evaluation and for planning of waterand soil conservation.