ANALISIS ALIRAN DASAR MENGGUNAKAN 6 MODEL PADA METODE RECURSIVE DIGITAL FILTER

Abstract

The purpose of this study is to estimate the contribution of

baseflo w

in th e

sub w atershe d

K lopos awi t

using

the

Re c ursi v e

Digit al

Filt e r

M e thods .

T he

mode l s are

used :

( 1 )

O ne

Parame ter

Algori thm , ( 2 )

Boughton

T w o Parame ter

Algori thm ;

( 3 )

IH ACRE S

( T hree Para me ter

Algori thm ) ,

(4 )

BFLO W

( L y nie

&

Holick

Algori thm ) ,

( 5 )

C hapman

Algori thm ,

and

( 6 )

E W M A

Filt e r .

Stages

of

thi s

study

include

( 1 )

data

i nv e ntory

( 2 )

data

proce ssi ng

( 3 )

baseflow

analysis

( 4 )

mode l

pe rfor manc e

test .

Data

inve ntory

is

obtai n e d

from :

( 1 )

discharge

d ata

and

( 2 )

rainf all

data .

T he

dis c harge

data

are

used

for

analyzing

baseflow .

T he

rainf all

data

are

used

to

show

the

c orrelati on

be tw e e n

fl uc tuat ions

in

rainf all

trend

w it h

fl uc tuat ions

in

d ischarge

v olume

trend .

M ode l

pe rfor manc e

test

w e re

c alculated

using

RM SE

and

c orrel ati on

c oe ff ic ient

m e thod .

T he

re sult s

show e d

that

the

mode l s

of

L y ne

&

Holli c k

and

E W M A

fi lt e r

ha ve

signi fi c ant

v alues

in

RM SE

and

R

²

then

the

others

in

bas e fl ow

w i th

re sult s

prese nted

RM S E

v alue

of

0.42 ;

1 ,

and

R

²

of

0.49 ;

0.937 .

Base fl ow

Inde x

( BFI )

v alu e

re sult s

from

the

mode l

L y ne

&

Holli c k

and

E W M A

fi lt e r

re spec ti v e ly

0.91

and

0.90 .

BFI ' s

re sult s

show e d

that

90 %

of

e x ist ing

str e ams

in

the

w atershe d

K lopos awi t

of

the

dry

pe riod

in

August

and

Se ptem be r

c ome s fr o m the

c ontri buti on of

base fl ow .