DISTRIBUTED-PARAMETER HYDROLOGY MODEL (ANSWERS) APPLIED TO A RANGE OFCATCHMENT SCALES USING RAINFALL SIMULATOR DATA - IV - EVALUATING PASTURE CATCHMENT HYDROLOGY
Rd. Connolly et al., DISTRIBUTED-PARAMETER HYDROLOGY MODEL (ANSWERS) APPLIED TO A RANGE OFCATCHMENT SCALES USING RAINFALL SIMULATOR DATA - IV - EVALUATING PASTURE CATCHMENT HYDROLOGY, Journal of hydrology, 201(1-4), 1997, pp. 311-328
Measured and simulated runoff data were used to evaluate the effects o
f surface conditions, particularly vegetative cover, on runoff from a
10 ha pasture catchment in the semi-arid tropics of Queensland. The An
swers model, modified to include a multilayered Green and Ampt represe
ntation of infiltration, was used to simulate runoff. Development, par
ametrisation and testing of Answers is described in Parts I and III of
this series, Measured annual runoff at the catchment outlet decreased
from 30% of rainfall when the catchment was in a bare, grazed conditi
on, to 5% of rainfall when vegetative cover increased to 60% after des
tocking and revegetation. A thorough comparison of the effect of cover
on runoff from the measured record was difficult as rainfall was vari
able over the experimental period and surface conditions changed with
revegetation. Answers was used to simulate runoff for the experimental
duration using the measured rainfall record, but with consistent cove
r and surface conditions. Two cover conditions were simulated, bare (a
s in the early stages of the experiment) and covered (typical of cover
conditions late in the experiment). Simulated high cover conditions i
ncreased by 10 mm the amount of rainfall required for runoff to occur,
relative to bare conditions. Peak discharge was reduced with increase
d cover for runoff events with an average recurrence interval of up to
3 years. Several revegetation strategies were simulated. The most eff
ective revegetation strategy, in terms of runoff reduction from all ra
infall events, was to increase cover levels modestly across the whole
catchment rather than to revegetate small areas intensively. (C) 1997
Elsevier Science B.V.