Ž .Coastal Engineering 42 2001 143–153www.elsevier.comrlocatercoastaleng
ž /Cost of beach maintenance in the Gulf of Cadiz SW Spain
Juan J. Munoz-Perez a,), Belen Lopez de San Roman-Blanco b,˜ ´Jose M. Gutierrez-Mas c, Luis Moreno d, Gabriel J. Cuena e
a Demarcacion de Costas en Andalucia-Atlantico, Ministerio de Medio Ambiente, cr Marianista Cubillo, 7, 11071 Cadiz, Spain´b Coastal Department, HR Wallingford, Howbery Park, Wallingford OX10 8BA, UKc Facultad de Ciencias del Mar, UniÕ. de Cadiz. CASEM, 11540, Puerto Real, Spain´
d Ministry of EnÕironmental Protection, Pza. San Juan de la Cruz, srno.-28071 Madrid Spaine SerÕicio de Costas de HuelÕa, Cr Rico, 15 21071, HuelÕa, Spain
Received 3 February 2000; received in revised form 16 August 2000; accepted 7 September 2000
Abstract
Beach erosion problems have been solved by adding sand to the beaches along the Gulf of Cadiz. The Gulf is located inSW Spain between the Portuguese border and the Strait of Gibraltar. During the last decade, more than 12=106 m3 of sandhave been nourished in 38 restoration operations carried out on 28 beaches. The main characteristics of the nourishment
Ž .campaigns year, volume, budget, transport method, sand data, etc. are presented. Location of sand borrow sites anddistance to the beaches are also shown. Monitoring programs have been performed in order to calculate sediment loss rates.These results have been related to the beach length, the berm width and the budget in order to obtain a variety ofrelationships for maintenance cost as, for example, the total annual cost for each beach. This information is very useful whendeveloping a strategy in coastal zone management. Furthermore, at least in reef-protected beaches, small yearly renourish-ments similar to the yearly losses, instead of greater nourishments performed with a periodicity of many years, lead to aneconomical saving, as well as to a better use of the natural resources. q 2001 Elsevier Science B.V. All rights reserved.
Keywords: Beach nourishment; Coastal zone management; Beach erosion; Gulf of Cadiz
1. Introduction
The coastline of the Gulf of Cadiz has been inrecession for at least the last century. Subsidencephenomena, sea level rise or manmade barriers, asgroin constructions like the breakwater built in thePortuguese bank of the Guadiana River mouth, arethe causes.
) Corresponding author. Fax: q34-56-276-449.Ž .E-mail address: [email protected] J.J. Munoz-Perez .˜
Analysis of field data and aerial photographs overthe last half century show that the coastline hassuffered a recession rate of approximately 1 mryearin some points of the Spanish Southwest Atlantic
Ž .coast Munoz-Perez and Enriquez, 1998 .Because of˜the erosion, the Spanish Coastal Authority, in thepast dependent upon the Ministry of Public Worksand presently belonging to the Ministry of the Envi-ronmental Protection, decided to begin a coastalprotection program.
Erosion is caused by a negative sediment budgetand, at the present, adding sand to the physiographic
0378-3839r01r$ - see front matter q 2001 Elsevier Science B.V. All rights reserved.Ž .PII: S0378-3839 00 00054-5
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜144
unit appears to be the most natural way to solve theerosion problem. Some beach nourishment projectshave sometimes been complemented with the con-struction of some permeable and short groins ad-justed to the beach profile. This was only carried outwhen an important reduction of the annual nourish-
Žment requirement justified it Munoz-Perez and˜.Gutierrez-Mas, 1999 .
Monitoring the behaviour of several beaches sincethe first nourishment allowed for a comparison withprevious works, as well as to establish real meanrates of erosion for each job and predict renourish-ment requirements in the future. Other countrieshave been monitoring for a much greater length of
Žtime see amongst others, Wijnberg, 1995; Lin and.Sasso, 1996; Shak and Ryan, 1996 , and compila-
tions of information on this topic have also beenperformed. For instance, a database that documentsbeach nourishment episodes, which have occurred on
Ž .the US Eastern shoreline from New York to FloridaŽ .was presented recently by Valverde et al. 1999 .
Also, the economic importance of beaches and theirŽ .tourism has been examined by Houston 1995, 1996 .
The federal spendings for shoreline preservation andthe revenues for the government and benefits for the
Ž .national economy have been compared King, 1999 .Nevertheless, the yearly cost of the different beachnourishment programs is a little published parameteryet. The range of this value could prove to be veryinteresting in providing a better design tool for futurenourishment projects and to decide whether theyshould be carried out or not.
The main aim of this paper is to describe amorphological and economical evaluation of thebeach nourishment maintenance strategy carried outin the Gulf of Cadiz during the 1990s.
2. Data compilation
The coastline which is to be studied is locatedalong the Gulf of Cadiz, facing the Atlantic Oceanon the southwest coast of Spain, between the Guadi-ana River mouth and the Strait of Gibraltar. Ageneral view of the area and the location of the 28beaches, where the 38 nourishments were carriedout, are presented in Fig. 1. The region has a mesoti-dal range with a medium neap to spring variation
Ž .1.20–3.30 m . Most of the beaches are composed ofŽ .fine-medium sand D s250 mm consisting of50
85–95% quartz and 5–15% calcium carbonate. Inmany beaches, the typical profiles intersect a sub-merged reef and, consequently, are not sand rich.Wave decay due to the wave breaking over thesubmerged reef, the changes on the resulting beachprofile shape and the stability of the beach were
Ž .discussed by Munoz-Perez et al. 1999a .˜Wave climate data have been collected by two
waverider buoys included in the Spanish WaveŽ .Recording Network known as REMRO . The first
of these buoys, named ASevilleB, was installed infront of the Guadalquivir river mouth anchored at adepth of y12 m. The second one, named ACadizB,was anchored at a depth of y22 m, 3 miles seawardfrom a rocky shoal in front of the city of Cadiz.Statistically elaborated data are available in the Mar-itime Works Recommendations ROM 0.3–91Ž .MOPT, 1991 .
Geophysical campaigns have been performed overthe entire width of the coast in order to identify
Žsubmerged borrow sand areas Esgemar, 1991; Ge-.omytsa, 1991a,b, 1994 . Soundings of the sea bottom
were carried out to check the thickness of sedimentdeposits. Location of borrow sites and dredged vol-umes are shown in Fig. 2. A large number of surfacegrab sediment samples were also collected to iden-tify the borrow sand characteristics.
A conventional topographic surveying techniquewas employed in the aerial part of the beach. Adifferential leveling with reference to a benchmarklocated in the seaside promenade was performed atthe hour of the spring low tide. It was possible tosurvey up to elevation y1.00 m. Due to the fact thatbathymetric contours were made with an echosounderon boat and differential global position systemŽ .DGPS at the spring high tide, an area of overlapwith the aerial topography relates both surveys to thesame datum or Azero levelB. For a comprehensivedescription about the accuracy of the method, see
Ž .Munoz-Perez 1995 . The total cost of the monitor-˜ing works was US$450,000 during the last decade,only 1.2% of the beach restoration investments.
Currents were also measured. The final aim ofthese measurements being the calibration of themathematical models developed to study differentaspects of the coastline evolution.
()
J.J.Munoz-P
erezet
al.rC
oastalEngineering
422001
143–
153˜
145
Fig. 1. Location of the 28 beaches renourished in the decade 1989–1998.
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜146
Fig.
2.L
ocat
ion
ofth
esa
ndbo
rrow
site
sin
the
Gul
fof
Cad
iz.
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜ 147
Once the beach restoration was finished, newbathymetric surveys were carried out in the majorityof cases. These were performed once per year for, atleast, a period of 2 years. Hence, profile comparisonscould be made and erosion rates estimated.
3. Results and discussion
Data collected for the 38 beach nourishmentsperformed during the last decade are presented inTable 1. From left to right, the data specified are thefollowing.
v Ž .Date year and name of the beach whererestoration works were carried out. Successiverestorations performed on the same beach are shownby different ordinal numbers. So, Fuentebravia,Fuentebravia II and Fuentebravia III would note thefirst, second and third nourishment projects. Therewere 38 sand-pouring operations accomplished on 28beaches from 1989 to 1998.
v Volume of sand poured in the nourishment,which was generally surveyed in the hopper and isexpressed in cubic meters. Total volume was 12.0=
6 3 Ž10 m with a maximum in Victoria Beach 2.0=6 3.10 m .v Final budget, in US$, where Spanish taxes as
Ž .16% value added tax VAT are not included andcost of hard structures such as groins, when neces-sary, are not considered. All costs were adjusted forSpanish inflation factors and converted to 1999 dol-lars. Global investment was US$37.5=106, that isUS$3.7=106ryear.
v ŽTransport method ground transport by trucks or.maritime dredging by trail suction is specified.
Ground transport by trucks, from adjacent beaches ordunes, was performed to nourish 13 beaches. Thevolume transported was 6.5% of the total volume,while the cost was only the 5.5% with an averagevalue of US$2.7rm3. Distances vary from 0.4 to11.2 km with 4.2 km as the average value. On theother hand, volume dredged had an average cost ofUS$3.1rm3 and an averaged distance of 10.9 kmwithin a range from 0.5 to 35 km.
v The main characteristics of the sediment arealso presented. It refers to the mean diameter, inmicrons, of the borrow sand which is very similar to
the native one. Three different areas can be distin-guished along the coastline according to the grainsize. The western one, between Guadiana andGuadalquivir rivers, has a median grain size diameterwhich varies from 350 to 670 mm with an averagevalue of 450 mm. Sand size is finer betweenGuadalquivir river and the Strait of Gibraltar: D s50
280 mm. A coarser grain size of 1000 mm is presentin Guadalquiton beach, in the Mediterranean Sea.Weight of the silt–clay fraction is negligible, about1.6%. The percentage of the bioclastic fraction, i.e.the part composed of flat shell fragments which are,
Žusually, very quickly transported seawards Munoz-˜.Perez et al., 1999b , is also indicated. This value
varies extensively, from 3% to 32% with an averageof 12.9%.
v The type of profile is specified: reef supportedor sand rich.
v ŽLocation of the borrow site submerged or. Ž .emerged and distance kilometer from the borrow
area to the beach nourishment.Working with the previously described character-
istics and along with the beach dimension, a new setof parameters related to the maintenance manage-ment are developed. These values presented in Table2 are as follows.
v The erosion rate is computed by averaging thelosses after nourishments and based on total beachprofile measurements, throughout a monitoring pe-riod of at least two years. It is expressed in cubicmeters per year. These data are not specified in 14nourishment operations because no monitoring workswere performed.
v Length of the beach where restoration workswere carried out and berm width achieved with thenourishment. Both of these values are expressed inmeters. The block diagram shown in Fig. 3 clarifiesthe meaning of beach length and berm width.
v Sediment loss per year per longitudinal meter,obtained by dividing the yearly erosion rate by thebeach length. Average value is 37.5 m3rmryear.Greatest values correspond to Aculadero, Fuente-
Žbravia and La Pena beaches 58, 90 and 108˜3 .m rmryear, respectively .
v3Ž .Unit cost of sand US$rm , id est, the relation-
ship between the real total budget and the fill volumeof the nourishment. The average value is aboutUS$3rm3 with a maximum of US$6.7rm3.
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜148
Tab
le1
Bea
chno
uris
hmen
tin
the
Gul
fof
Cad
izin
the
last
deca
de
Ž.
Yea
rB
each
nam
eV
olum
eT
otal
budg
etT
rans
port
San
dK
ind
ofpr
ofil
eB
orro
war
eaD
ista
nce
km3
Ž.
Ž.
mU
S$
met
hod
DP
erce
ntP
erce
ntsh
ell
50Ž
.m
msi
ltfr
acti
on
1989
Cas
till
aB
each
1,69
0,00
03,
813,
333
Tra
ilsu
ctio
n60
01.
5S
and
rich
Pon
ient
eje
tty
6.3
1990
La
Ant
illa
1,30
0,00
05,
333,
000
Tra
ilsu
ctio
n50
01.
3S
and
rich
Rom
pidi
llo
spit
6.1
1990
La
Cac
huch
a82
,030
505,
406
Tru
cks
300
2.6
8S
and
rich
San
Ped
rom
outh
3.8
1991
La
Cal
eta
41,4
4081
,032
Tru
cks
310
3.6
3R
eef
supp
orte
dC
orta
dura
beac
h1.
419
91V
icto
ria
2,00
0,05
05,
527,
742
Tra
ilsu
ctio
n25
02.
411
San
dri
chan
dC
adiz
Cha
nnel
5.2
reef
supp
orte
d19
91S
ta.
Mar
iade
lM
ar30
6,36
055
7,41
9T
rail
suct
ion
350
1.5
16R
eef
supp
orte
dC
adiz
Har
bour
entr
ance
6.0
1991
La
Pen
a67
,035
216,
774
Tru
cks
230
1.2
29R
eef
supp
orte
dV
alde
vaqu
eros
dune
11.2
˜19
91C
anos
deM
eca
16,1
0339
,914
Tru
cks
230
1.7
10R
eef
supp
orte
dT
rafa
lgar
dune
2.4
˜19
91R
ıoS
anP
edro
23,1
5959
,649
Tra
ilsu
ctio
n22
01
15R
eef
supp
orte
dS
anP
edro
mou
th0.
5´
1992
Reg
la50
2,00
02,
650,
000
Tra
ilsu
ctio
n25
02.
58
Ree
fsu
ppor
ted
Pla
cer
San
Jaci
nto
4.2
1992
Can
osde
Mec
aII
124,
234
263,
619
Tru
cks
230
1.5
12R
eef
supp
orte
dT
rafa
lgar
Dun
e2.
4˜
1992
Fue
nteb
ravi
a75
,000
212,
748
Tru
cks
390
0.3
9R
eef
supp
orte
dR
ota
Har
bour
0.9
1993
Car
men
23,1
5043
,413
Tru
cks
220
0.5
15S
and
rich
Bar
bate
Har
bour
0.6
1993
Pon
ient
e13
1,81
918
7,06
2T
ruck
s39
00.
38
San
dri
chA
tuna
rabe
ach
6.7
1993
El
Pal
mar
18,7
9433
,727
Tru
cks
250
1.2
12S
and
rich
Con
ilet
em
outh
2.0
1993
La
Pen
aII
170,
000
413,
641
Tru
cks
240
131
Ree
fsu
ppor
ted
Val
deva
quer
osdu
ne11
.2˜
1993
–19
94L
aB
arro
sa46
3,60
71,
242,
564
Tra
ilsu
ctio
n29
03.
415
San
dri
chP
lace
rde
Mec
a25
.119
94F
uent
ebra
vıa
II27
5,13
354
0,73
3T
rail
suct
ion
280
2.5
12R
eef
supp
orte
dC
adiz
Cha
nnel
8.1
´19
93–
1994
El
Acu
lade
ro17
2,44
826
7,61
3T
rail
suct
ion
390
0.5
17R
eef
supp
orte
dC
adiz
Cha
nnel
4.5
and
truc
ks19
94L
aH
ierb
abue
na16
,216
40,5
16T
ruck
s22
00.
812
San
dri
chB
arba
teH
arbo
ur0.
419
94C
anos
deM
eca
III
496,
000
1,02
1,93
6T
rail
suct
ion
300
3.5
14R
eef
supp
orte
dP
lace
rde
Mec
a4.
0˜
1994
Fue
nte
del
Gal
lo39
9,00
01,
037,
419
Tra
ilsu
ctio
n23
02
18R
eef
supp
orte
dP
lace
rde
Mec
a13
.019
94Is
laC
rist
ina
330,
000
887,
000
Tra
ilsu
ctio
n35
01.
3S
and
rich
Isla
Cri
stin
aH
arbo
ur4.
119
95L
aB
ota
930,
000
3,18
7,00
0T
rail
suct
ion
670
1.5
-20
San
dri
chP
onie
nte
Diq
ue13
Juan
Car
los
I19
95C
hica
12,7
7840
,516
Tru
cks
230
1.5
32R
eef
supp
orte
dV
alde
vaqu
eros
Dun
e11
.219
95E
lR
ompi
dill
o7,
735
11,5
81T
ruck
s22
01
11R
eef
supp
orte
dR
ota
Har
bour
0.6
1996
La
Cos
till
a19
7,00
094
8,74
6T
rail
suct
ion
380
39
San
dri
chC
adiz
Cha
nnel
11.0
1996
Acu
lade
roII
75,6
2524
0,94
6T
rail
suct
ion
250
3.5
14R
eef
supp
orte
dC
adiz
Cha
nnel
4.5
1996
La
Cos
till
aII
94,5
6629
2,35
1T
rail
suct
ion
350
1.2
8S
and
rich
Cad
izC
hann
el11
.019
96F
uent
ebra
vıa
III
134,
808
351,
675
Tra
ilsu
ctio
n30
03
11R
eef
supp
orte
dC
adiz
Cha
nnel
8.1
´19
96M
azag
on42
5,00
01,
406,
364
Tra
ilsu
ctio
n35
02
San
dri
chH
uelv
aH
arbo
ur7.
2´
1996
Mat
alas
cana
s12
5,00
041
3,63
6T
rail
suct
ion
350
2S
and
rich
Hue
lva
Har
bour
18.3
˜19
97L
aA
ntil
laII
300,
000
2,00
0,00
0T
rail
suct
ion
350
0.3
San
dri
chH
uelv
aH
arbo
ur35
.119
97S
ta.
Mar
iade
lM
arII
60,1
8122
8,38
1T
rail
suct
ion
300
0.3
10R
eef
supp
orte
dC
adiz
Cha
nnel
6.0
1997
La
Bar
rosa
II30
,000
142,
575
Tra
ilsu
ctio
n30
00.
210
San
dri
chP
lace
rde
Mec
a25
.019
98C
ampo
soto
.73
7,00
02,
578,
453
Tra
ilsu
ctio
n30
00.
53
Ree
fsu
ppor
ted
Pla
cer
deM
eca
31.5
1998
Pun
taC
ando
r19
,211
100,
373
Tra
ilsu
ctio
n32
00.
58
Ree
fsu
ppor
ted
Cad
izC
hann
el14
.219
98G
uada
lqui
ton
175,
000
538,
400
Tra
ilsu
ctio
n10
000.
910
San
dri
chG
uadi
aro
mou
th0.
8´
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜ 149
Tab
le2
Mai
nten
ance
cost
ofbe
ache
sin
the
Gul
fof
Cad
iz
Yea
rB
each
nam
eS
edim
ent
Bea
chB
erm
Sed
imen
tlo
ssr
Cos
tM
ater
ial
Mai
nten
ance
loss
leng
thw
idth
beac
hle
ngth
ofsa
ndsu
pply
cost
33
3Ž
.Ž
.Ž
.Ž
.Ž
.m
rye
arm
mm
rye
arr
mU
S$r
mV
olum
erbe
ach
Vol
umer
dry
Per
unit
ofP
erun
itof
Tot
al3
32
Ž.
Ž.
Ž.
leng
thm
rm
surf
ace
mr
mbe
ach
leng
thdr
ysu
rfac
eU
S$r
year
2Ž
.Ž
.U
S$r
year
rm
US
$rm
1989
Cas
till
aB
each
100,
000
2000
110
502.
2684
57.
711
317
.422
6,00
019
90L
aA
ntil
la50
,000
3500
5014
4.10
371
7.4
5930
.220
5,00
019
90L
aC
achu
cha
560
356.
1614
64.
219
91L
aC
alet
a36
020
1.96
115
5.8
1991
Vic
tori
a70
,000
3500
7020
2.76
571
8.2
5523
.019
3,20
019
91S
ta.
Mar
iade
lM
ar30
,000
600
4550
1.82
511
11.3
9120
.754
,600
1991
La
Pen
a65
,000
600
1810
83.
2311
26.
235
020
.020
9,95
0˜
1991
Can
osde
Mec
a75
03
2.48
217.
2˜
1991
Rıo
San
Ped
ro37
08
2.58
637.
8´
1992
Reg
la35
,000
1500
3823
5.28
335
8.8
123
46.7
184,
800
1992
Can
osde
Mec
aII
750
242.
1216
66.
9˜
1992
Fue
nteb
ravi
a72
514
2.84
103
7.4
1993
Car
men
5000
1200
34
1.88
196.
48
12.5
9400
1993
Pon
ient
e70
023
1.42
188
8.2
1993
El
Pal
mar
800
41.
7923
5.9
1993
La
Pen
aII
85,0
0080
030
106
2.43
213
7.1
259
17.2
206,
550
˜19
93–
1994
La
Bar
rosa
45,0
0012
0040
382.
6838
69.
710
126
.112
0,60
019
94F
uent
ebra
vıa
II65
,000
725
6090
1.97
379
6.3
176
12.5
128,
050
´19
93–
1994
El
Acu
lade
ro35
,000
600
4058
1.55
287
7.2
9111
.154
,250
1994
La
Hie
rbab
uena
4000
730
35
2.50
227.
414
17.9
10,0
0019
94C
anos
deM
eca
III
26,5
0075
070
352.
0666
19.
473
19.5
54,5
90˜
1994
Fue
nte
del
Gal
lo52
,000
1200
3043
2.60
333
11.1
113
28.7
135,
200
1994
Isla
Cri
stin
a40
,000
1800
4022
2.69
183
4.6
6012
.310
7,60
019
95L
aB
ota
50,0
0042
0040
123.
4322
15.
541
18.7
171,
500
1995
Chi
ca12
025
3.17
106
4.3
1995
El
Rom
pidi
llo
4000
800
25
1.50
104.
87
7.5
6000
1996
La
Cos
till
a15
,000
1200
2013
4.82
164
8.2
6039
.272
,300
1996
Acu
lade
roII
11,0
0060
020
183.
1912
66.
358
19.8
35,0
9019
96L
aC
osti
lla
II12
0010
3.09
797.
919
96F
uent
ebra
vıa
III
62,0
0072
531
862.
6118
66.
022
315
.716
1,82
0´
1996
Maz
agon
30,0
0015
0028
203.
3128
310
.166
33.1
99,3
00´
1996
Mat
alas
cana
s30
,000
700
1843
3.31
179
9.9
142
33.1
99,3
00˜
1997
La
Ant
illa
II20
0040
6.67
150
3.8
1997
Sta
.M
aria
del
Mar
II10
,000
600
1217
3.79
100
8.4
6332
.237
,900
1997
La
Bar
rosa
II12
003
4.75
258.
319
98C
ampo
soto
.45
,000
3000
2815
3.50
246
8.8
5230
.915
7,50
019
98P
unta
Can
dor
200
145.
2296
6.9
1998
Gua
dalq
uito
n50
030
3.08
350
11.7
´
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜150
Fig. 3. Block diagram clarifying some concepts of a beach nourishment.
v Restoration volume divided by the beach lengthŽ 3 .m rm .
v2Volume requirements to get 1 m of berm or
dry beach.v Maintenance cost in different units: price per
year for every meter length beach, price for everysquare meter of berm and finally, the annual mainte-nance cost of each beach.
Despite the importance of the annual total costparameter, the most adequate parameter to comparecosts between different beaches is the annual mainte-
Ž .nance cost per unit of beach length US$ryearrm .If one of the main goals of a nourishment scheme isto maintain the dry surface of the beach for touristexploitation, this parameter is very useful in decidingwhere to best invest public funds. In our particularcase, these values normally range from US$7 toUS$142ryearrm with an average of US$100r
yearrm and only La Pena and Fuentebravia restora-˜tions exceed US$150ryearrm reaching a maximumof US$350ryearrm.
It is noteworthy that the biggest erosion rate wasobserved directly after a big nourishment in reef-sup-
Ž .ported beaches. As Munoz-Perez et al. 1999a˜showed, no equilibrium beach profile is possiblewithin a distance less than 30–100 m from the edgeof the reef. So, as you feed more sediment, moresand is transported quickly seawards. Perched orreef-protected beaches, whose profiles are not sandrich, loose sand rapidly when the volume dumpedsurpasses the geometric limits set down by the mor-
Žphological characteristics Munoz-Perez et al.,˜.1999a . It is also worth noting the fact that a reduc-
tion in the volume of the successive restorations ofthe beaches of Santa Maria del Mar Beach and of
ŽAculadero Beach from 306,000 to 60,181 and from
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜ 151
3 .172,448 to 75,625 m , respectively was related to asubstantial reduction in the annual rates of erosionŽfrom 30,000 to 10,000 and from 35,000 to 11,000
3 .m ryear , while no significant changes in waveclimate were observed during the monitoring period.The former figures were obtained by profile compar-isons carried out with the yearly bathymetric surveysperformed during the 2 years ensuing the nourish-ments.
For economical studies, it would be important toknow whether a relationship exists between size of
Ž .job total cubic meters of project and unit price. Inorder to accomplish this, Fig. 4 was prepared withthe purpose of displaying the actual cost in US$rm3
versus the nourishment volume, making a clear dis-tinction between the contributions made by truck andtrail suction. In the first place, it is noteworthy to
state that the volumes transported by truckloads donot surpass 200,000 m3. Their price, with only oneexception, fluctuates between 1 and 3 US$rm3 al-though bearing no defining trend. On the other hand,two separate groups can be defined amid the nour-ishments carried out by trail suction dredgers. Thefirst one reaches up to 600,000 m3 of sand. Thoughthe costs are very spread out, a simple linear fit bythe least squares method shows a decreasing ten-dency. The same tendency, the lessening of costs asvolumes increase, though subject to a slighter disper-sion rate, can be observed in the existing rangebetween 600,000 and 2,000,000 m3.
Fig. 5 shows the volume of sand placed on thebeaches per year and, also, the annual cost of thenourishment in the last decade. The rather largenourishments and investments in the initial years are
Ž 3.Fig. 4. Cost of sand US$rm in different beach restorations versus their nourishment volumes.
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜152
Ž 3. Ž . Ž .Fig. 5. Sand nourishments m and investments US$ per year in the Gulf of Cadiz 1989–1998 .
because of the need to replace the existing deficit. Inlater years, the need for sand has reduced and stabi-lized about 1=106 m3 of sand corresponding toUS$3=106ryear.
4. Conclusions
The data collected from the 38 beach nourishmentcampaigns that have been carried out on 28 beaches
Ž .in the Gulf of Cadiz SW Spain during the lastdecade are presented. Within the values of the differ-ent parameters demonstrated, it is important to pointout that the average annual volume nourished tomaintain more than 400 km of coastline was 1.2=
106 m3. This imposed an averaged cost of US$3.75=106 a year, which has to be related to the enor-mous income that tourism yields in the area everyyear.
The cost of transport by truck is slightly lowerthan the transport by dredger and dumping through
Ž 3.tubes US$2.7 against US$3.1rm , although thevolume carried by the truck was only 6.5% of thetotal.
The relationships between the costs and the geo-metric characteristics of the beach suggest manyparameters, all of them of great help when attempt-ing to make decisions on sustainable and economicalmaintenance of the beaches within the framework ofcoastal zone management. Nevertheless, the annual
( )J.J. Munoz-Perez et al.rCoastal Engineering 42 2001 143–153˜ 153
maintenance cost per unit of beach length appears tobe the most useful parameter when comparing thedifferent investments done. Its average value be-comes US$100ryearrm, but with a great range ofscatter: from US$7 to US$350ryearrm.
Substantial decrease in the sand volumes nour-ished within successive restorations carried out oncertain beaches led to drastic reductions in the yearlyerosion rates. In addition, it may be concluded that,at least in reef-protected beaches, small yearly re-nourishment, similar to the yearly losses, instead ofgreater nourishment performed with a periodicity ofmany years, leads to economical savings, as well asto a better use of the natural resources.
Finally, it is noteworthy to point out that a de-creasing tendency in the cost per unit of the sandpoured can be acknowledged as the nourishmentvolume increases, this being specially noticeable inthose volumes superior to 600,000 m3.
Acknowledgements
The authors wish to acknowledge the contributionof the Federal Coastal Authority of the Ministry ofEnvironmental Protection, for their support through-out the data collection campaigns. The valuableremarks of Professor William Allsop are greatlyappreciated. This work was partially funded by theNational Office of Science and Technology throughcontract Mar 98r0796.
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