Wen Jia TanJen Feng KhorLloyd LingYuk Feng HuangY.F. HuangK.W. TanL. LingK.H. Leong2024-11-142024-11-142018https://doi.org/10.1051/e3sconf/20186507006https://dspace-cris.utar.edu.my/handle/123456789/7045<jats:p>Since 1954, the Soil Conservation Curve Number (SCS-CN) method is widely applied in hydrological field to predict the direct runoff resulting from event rainfall. Originally, the lambda value was fixed at 0.2. However, based on recent studies, the simplied SCS-CN method was unable to predict a consistent and accurate runoff amount. Most of the research studies in various countries claimed that lambda value was a variable and most likely should be less than 0.2. Most of the researchers applied either mean or median λ value directly without checking the statistics. Misuse of lambda value in SCS-CN model will lead to inconsistent runoff estimation. Moreover, although λ value can be determined, the equivalent <jats:italic>CN</jats:italic><jats:sub>0.2</jats:sub> cannot be found. Some of research studies or even Hydrology Textbook substitute Sλ directly into <jats:italic>CN</jats:italic> equation and lead to wrong <jats:italic>CN</jats:italic> calculation. In this study, the statistical significant λ value and regional specific S correlation are developed under the guide of non-parametric inferential statistics. by using bootstrapping, Bias corrected and accelerated (BCa) technique with 2000 samples.</jats:p>journal-article