Skip to Main Content

Table 4 lists the optimal solution vectors for the VEP-NLMM-L of different inflow dividing levels (L = 1–5). The SSQs calculated by the VEP-NLMM-L of different L have obvious reductions, at least 88.23% (L = 1) lower than the value obtained by the LMM-L. For VEP-NLMM-L with L = 5, the optimal inflow dividing values are , , , .

Table 4

Optimal parameter vectors by estimating different Muskingum models for River Wyre flood, October 1982

ModelKwαm/mi (i = 1,…,L)SSQ
LMM-L (O'Donnell 1985) 5.5400 0.1370 2.6200 – 468.840 
VEP-NLMM-L (this study) L = 1 5.1485 0.2282 2.5285 1.0000 55.193 
L = 2 4.9473 0.2524 2.5212 1.0120, 1.0059 28.462 
L = 3 4.7858 0.2518 2.5225 1.0188, 1.0102, 1.0134 26.239 
L = 4 4.2020 0.2730 2.5142 1.0135, 1.0498, 1.0458, 1.0398 20.490 
L = 5 3.7303 0.2856 2.5166 1.0477, 1.0841, 1.0772, 1.0722, 1.0658 17.574 
ModelKwαm/mi (i = 1,…,L)SSQ
LMM-L (O'Donnell 1985) 5.5400 0.1370 2.6200 – 468.840 
VEP-NLMM-L (this study) L = 1 5.1485 0.2282 2.5285 1.0000 55.193 
L = 2 4.9473 0.2524 2.5212 1.0120, 1.0059 28.462 
L = 3 4.7858 0.2518 2.5225 1.0188, 1.0102, 1.0134 26.239 
L = 4 4.2020 0.2730 2.5142 1.0135, 1.0498, 1.0458, 1.0398 20.490 
L = 5 3.7303 0.2856 2.5166 1.0477, 1.0841, 1.0772, 1.0722, 1.0658 17.574 

Close Modal

or Create an Account

Close Modal
Close Modal