Abstract:
The original soil conservation service curve number SCS-CN technique is primarily used to transform daily rainfall into
surface runoff by assuming the proportionality between retention and surface runoff based on a parameter referred to as curve number
CN . The conventional method does not take into account the temporal and spatial variability of curve number. In this paper, an attempt
has been made to modify the existing SCS-CN model in two ways by varying the CN using antecedent moisture condition designated as
Model I , and by using antecedent moisture amount designated as Model II . The daily moisture storage is updated based on varying the
curve number and other hydrologic abstractions. These two different models are constructed to compute streamflow components: Direct
surface runoff, base flow, and hydrological abstractions. These methodologies were successfully applied to daily data of catchments of
Cauvery, Narmada, Ganga, and Ulhas Rivers, lying in different climatic regions of India, and the results were analyzed. Application of
Model I to Hemavati a tributary of River Cauvery, Karnataka State data yielded maximum efficiency of 84% in calibration, and
minimum efficiency of 54% with Ramganga a tributary of River Ganga, Uttaranchal State data, whereas Model II showed maximum
efficiency of 85% in Hemavati catchment and minimum efficiency of 64% in Kalu catchment a tributary of River Ulhas, Maharashtra
State . Model II performed better than Model I on all four catchments. It is found that the proposed models reasonably simulate the
catchment response and these SCS-CN-based models are applicable to complex natured watersheds.
