Weber & Apestegui,

Vol. VII, No. 2, March-April, 2016, pp. 115-132

Table 4. Mean parameters of the Kostiakov model acocrding to land use. Range of variation in parenthesis.

Streets

26.68 (15.70-40.06)

0.75 (0.51-0.95)

Parks

34.67 (19.42-50.60)

0.79 (0.71-0.89)

Housing

30.35 (16.65-43.66)

0.72 (0.55-0.82)

Table 5. Mean parameters of the Lewis-Kostiakov model acocrding to land use. Range of variation in parenthesis.

Streets

6.26 (1.23-12.80)

0.32 (0.05-0.81)

20.51 (8.60-34.40)

Parks

8.28 (0.47-32.45)

0.20 (-0.39-0.76)

26.48 (0.00-47.60)

Housing

17.07 (2.53-40.45)

0.44 (-0.07-0.81)

13.28 (0.00-25.90)

Figure 10. Relation between parameters K of the Kostiakov and Lewis-Kostiakov (Mecenzev) models. The solid line

corresponds to the identity function.

and smaller for unpaved streets than for other

land uses (Figure 12).

Figure 12 shows outlier values of

=

2.2488 and

= 0.8125. The following expres-

sion could be fitted by extracting this value

from the series:

ln

(11)

with

α

= 0.261145,

β

= 0.203251 and

=

0.76586. Based on this result, the possibility of

a modification of the Lewis-Kostiakov model

was proposed, which was named LK-2p (two-

parameter Lewis-Kostiakov):

( )

(12)

where

and

must be fitted for each mea-

surement and

α

and

β

would be constant at

the regional level. To explore this hypothesis,

an

code was developed with Octave

to globally fit (that is, all of the 34 measure-

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