(SLSUBBSN), available water capacity of the soil layer (SOL_AWC),
moist bulk density (SOL_BD), saturated hydraulic conductivity
(SOL_K), erosion (USLE_K), Peak rate adjustment factor for sediment
routing in the sub-basin (tributary channels) (ADJ_PKR),
Linear parameter for calculating the maximum amount of sediment
that can be retrained during channel sediment routing
(SPCON), Exponent parameter for calculating sediment retrained in
channel sediment routing (SPEXP), Surface runoff lag time (SURLAG),
effective hydraulic conductivity in main channel alluvium
(CH_K2), Manning's "n" value for the main channel (CH_N2) and
groundwater "revap" coefficient (GW_REVAP). The global effect of
each used parameter was classified using total sensitivity function
in SWAT-CUP. The capability of a hydrological model to adequately
simulate stream flow and sediment concentration typically counts
on the precise calibration of parameters (Xu, Pang, Liu, & Li, 2009)
(SLSUBBSN), available water capacity of the soil layer (SOL_AWC),moist bulk density (SOL_BD), saturated hydraulic conductivity(SOL_K), erosion (USLE_K), Peak rate adjustment factor for sedimentrouting in the sub-basin (tributary channels) (ADJ_PKR),Linear parameter for calculating the maximum amount of sedimentthat can be retrained during channel sediment routing(SPCON), Exponent parameter for calculating sediment retrained inchannel sediment routing (SPEXP), Surface runoff lag time (SURLAG),effective hydraulic conductivity in main channel alluvium(CH_K2), Manning's "n" value for the main channel (CH_N2) andgroundwater "revap" coefficient (GW_REVAP). The global effect ofeach used parameter was classified using total sensitivity functionin SWAT-CUP. The capability of a hydrological model to adequatelysimulate stream flow and sediment concentration typically countson the precise calibration of parameters (Xu, Pang, Liu, & Li, 2009)
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