J. Krishnaswamy et al., Dynamics of sediment discharge in relation to land-use and hydro-climatology in a humid tropical watershed in Costa Rica, J HYDROL, 253(1-4), 2001, pp. 91-109
Hydrology in humid tropical regions is often characterized by considerable
natural variability and uncertainty. Hydrologic and land-use data from the
Terraba basin in Costa Rica are used to analyze dynamics in sediment discha
rge processes during the period 1971-1993.
Time-series of log transformed sediment concentration and flow are analyzed
with a Bayesian dynamic linear regression model (DLM) to detect changes in
the sediment-flow relationship over time. Annual time-series of estimated
sediment discharge based on the DLMs were regressed against various hydro-c
limatic variables based on the Southern Oscillation Index (Sol), rainfall,
stream flow and rainfall erosivity. Hydro-climatic variables such as rainfa
ll, stream flow and rainfall erosivity were also regressed against Sol. The
results from the regression models, the presence of trends in the DLM slop
e and other hydro-climatic parameters for each sub-basin were used to compa
re the hydro-climatic and sediment response characteristics of the sub-basi
ns.
Over 60% of the variability in hydro-climatic variables like rainfall, rain
fall erosivity and stream flow is explained by Sol but less than 40% for se
diment discharge measured at the basin mouth. The clustering of stations an
d sub-basins with respect to sediment discharge responses is different from
that based on hydro-climatic characteristics. Stations or sub-basins corre
sponding to areas with large rates of deforestation and/or agricultural int
ensification and earthquake related soil disturbance tend to fall in one cl
uster. These sub-basins are characterized by an increase in the sediment-fl
ow regression slope over time, and weaker relationship between sediment dis
charge and hydro-climatic variables such as SOI, rainfall and flow. In sub-
basins undergoing rapid land-surface changes, variability in sediment suppl
ies accounted for an estimated 50-90% of the variability in annual sediment
discharge.
The methods described in this paper can be used to analyze many existing hy
drologic time-series to detect land-use effects on watershed hydrology. (C)
2001 Elsevier Science B.V. All rights reserved.