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Table 4 RSA parameter sensitivities for various objective functions

From: Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China

Parameters

Statistical measures

Runoff signatures

Combined objective functions

R 2

R eff

R eff, log

S VE

S FDC

S PQ

S PT

C OF

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8–28)

Catchment

PCALT

***

***

***

**

***

***

***

(8)

***

TCALT

***

*

–

*

*

–

–

(9)

**

Snow routine

 

TT

***

***

*

**

**

*

*

(10)

**

CFMAX

*

**

*

*

–

–

–

(11)

**

SFCF

***

***

**

***

–

**

**

(12)

***

CFR

–

–

–

–

–

*

–

(13)

*

Soil routine

FC forest

*

*

*

–

*

–

–

(14)

––

FC shrub

***

**

**

*

***

***

**

(15)

***

FC grass

*

–

**

–

**

**

*

(16)

*

LP forest

–

–

*

*

–

–

–

(17)

*

LP shrub

**

*

*

–

–

**

**

(18)

–

LP grass

–

–

–

–

–

–

**

(19)

**

BETA forest

     

–

*

(20)

*

BETA shrub

*

*

*

–

–

**

**

(21)

**

BETA grass

**

–

*

*

*

***

**

(22)

***

Response routine

PERC

***

**

**

***

***

***

***

(23)

*

UZL

*

**

–

–

***

–

–

(24)

***

K 0

       

(25)

 

K 1

***

***

*

**

**

*

***

(26)

**

K 2

**

**

**

**

–

*

*

(27)

**

Routing routine

MAXBAS

–

**

–

**

***

**

***

(28)

***

  1. ***, high sensitivity; **, moderate sensitivity; *, slight sensitivity; –, insensitive parameters. The numbers in the parentheses are the indexes for all objective functions: including 3 statistical measures (1–3), 4 runoff signatures (4–7), and 21 combined objective functions (8–28).