the biogeochemistry of ji-paraná river, rondônia . sh-37.9
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The Biogeochemistry of Ji-Paraná River, Rondônia. SH-37.9Nei Kavaguichi Leite1, Alex V. Krusche1, Reynaldo L. Victoria1, Maria V. Ballester1, Jeffrey E. Richey2
nkleite@cena.usp.br - 1Centro de Energia Nuclear na Agricultura-USP2University of Washington
INTRODUCTIONINTRODUCTION
The Amazon region has undergone intensive deforestation during the last decades resulting in changes in its landscape. Mainly along the BR-364 road,
an area formerly covered by forests is now occupied by extensive pastures, with impacts in the aquatic systems that are still not known. This study
focus on the identification of the relative importance of natural and anthropogenic characteristics of the basin in the biogeochemistry of the Ji-Paraná
river and its main tributaries, assuming that the chemistry of river waters reflects what happens in its basin. To achieve that, a comparative approach
was used, in which differences between systems with distinct soils and land use/cover were analyzed, as well as seasonal variations, during the period
of 1999-2002. OBJECTIVESOBJECTIVES
Analyze the spatial variability in water chemistry of main tributaries and main steam of the Ji-Paraná river basin;
Link this variability with natural and anthropogenic features in this watershed.
METHODSMETHODS
COM-1
COM-2
PB-1
PB-2
ROLIM
J IP-1
URUPÁ
J IP-2
JARÚ J IP-3
MAC
J IP-4
J IP-5PRETO
Rio Comemoraç
ão
R
io Pi me
nta B
uen
o
R
io R ol im
d
e Moura
R
io Urup á
Rio J
arú
Rio
Machad in
ho
Rio Preto
0 40 80 120 16020Km
®63°0'0"W
63°0'0"W
62°0'0"W
62°0'0"W
61°0'0"W
61°0'0"W
60°0'0"W
60°0'0"W
13°0'0"S 13°0'0"S
12°0'0"S 12°0'0"S
11°0'0"S 11°0'0"S
10°0'0"S 10°0'0"S
9°0'0"S 9°0'0"S
8°0'0"S 8°0'0"S
RO BRASILRO BRASILRO BRASIL
COM-1
COM-2
PB-1
PB-2
ROLIM
J IP-1
URUPÁ
J IP-2
JARÚ J IP-3
MAC
J IP-4
J IP-5PRETO
Rio Comemoraç
ão
R
io Pi me
nta B
uen
o
R
io R ol im
d
e Moura
R
io Urup á
Rio J
arú
Rio
Machad in
ho
Rio Preto
0 40 80 120 16020Km
®63°0'0"W
63°0'0"W
62°0'0"W
62°0'0"W
61°0'0"W
61°0'0"W
60°0'0"W
60°0'0"W
13°0'0"S 13°0'0"S
12°0'0"S 12°0'0"S
11°0'0"S 11°0'0"S
10°0'0"S 10°0'0"S
9°0'0"S 9°0'0"S
8°0'0"S 8°0'0"S
RO BRASILRO BRASILRO BRASIL
Study Area Land Use/Cover Sampling Methods
0
100
200
300
400
500
jan fev mar abr mai jun jul ago set out nov dez0
400
800
1200
1600
2000
Monthly Average Precipitation Monthly Average Discharge
Pre
cipita
tion (m
m)D
isch
arg
e (
m3.s
-1)
Hydrologic Features
Neossolos Flúvicos
Neossolos Quartzarênicos
Cambissolos
Gleissolos
Latossolos
Neossolos Litólicos
Planossolos
Plintossolos
Argissolos
Nitossolos
0 30 60 90 12015km
Neossolos Flúvicos
Neossolos Quartzarênicos
Cambissolos
Gleissolos
Latossolos
Neossolos Litólicos
Planossolos
Plintossolos
Argissolos
Nitossolos
Neossolos Flúvicos
Neossolos Quartzarênicos
Cambissolos
Gleissolos
Latossolos
Neossolos Litólicos
Planossolos
Plintossolos
Argissolos
Nitossolos
0 30 60 90 12015km
0 30 60 90 12015km
Soil63°0'0"W
63°0'0"W
62°0'0"W
62°0'0"W
61°0'0"W
61°0'0"W
60°0'0"W
60°0'0"W
13°0'0"S 13°0'0"S
12°0'0"S 12°0'0"S
11°0'0"S 11°0'0"S
10°0'0"S 10°0'0"S
9°0'0"S 9°0'0"S
Pastagem
Solo Exposto
Nuvens
Floresta
Rebrota
Cerrado
Água
Cidades
0 30 60 90 12015km
0 30 60 90 12015km
63°0'0"W
63°0'0"W
62°0'0"W
62°0'0"W
61°0'0"W
61°0'0"W
60°0'0"W
13°0'0"S
12°0'0"S 12°0'0"S
11°0'0"S 11°0'0"S
10°0'0"S
9°0'0"S 9°0'0"S
63°0'0"W
63°0'0"W
62°0'0"W
62°0'0"W
61°0'0"W
61°0'0"W
60°0'0"W
13°0'0"S
12°0'0"S 12°0'0"S
11°0'0"S 11°0'0"S
10°0'0"S
10°0'0"S
9°0'0"S 9°0'0"S
Pasture
Baren Soil
Clouds
Forest
Regrowth
Savanna
Water
Urban
0 30 60 90 12015km
0 30 60 90 12015km
RESULTSRESULTS
0 0.2 0.4 0.6 0.8 1
N a + + K +
1
0.8
0.6
0.4
0.2
0
Ca 2+
1
0.8
0.6
0.4
0.2
0
Mg
2+
C om -1
P b-1
C om -2
P b-2
Jip-1
R olim
U rupá
Jip-2
Jip-3
Jarú
M ac
Jip-4
Jip-5
P reto
A
B
0 0.2 0.4 0.6 0.8 1
H C O 3- + C O 3
-
1
0.8
0.6
0.4
0.2
0
Cl -
1
0.8
0.6
0.4
0.2
0
SO 4
-
C om -1
P b-1
C om -2
P b-2
Jip-1
R olim
U rupá
Jip-2
Jip-3
Jarú
M ac
Jip-4
Jip-5
P reto
The dispersion observed at the cation ternary
diagrams is explained by a mixture of rivers enriched
in Na+ and K+ (Comemoração and Pimenta Bueno
headwaters) with rivers enriched in Ca2+ (Rolim de
Moura, Urupá and Jarú). The anion ternary diagram
shows a dominance of bicarbonates.
CONCLUSIONSCONCLUSIONS
The seasonal and spatial variability showed different patterns, with strong correlations with natural features of the basi,n such as soil fertility and
geology. Furthermore, we also found strong correlation with the different land use/cover, considering that the sites exhibiting the most fertile soils are
located on the most impacted areas of the basin. Although our data don't allow us to isolate the factors controlling water chemistry, the higher nutrient
concentrations (C,N and P) on the most disturbed areas are indications that anthropogenic changes are already being reflected in biogeochemistry of
these rivers.
ElectricalConductivity
OxygenandTemperature
pH
DionexDX – 500Cations, Anions
ShimadzuTOC 5000A
Glass Fiber, 0,7 mm
CelluloseAcetate, 0,45 mm
DOC - HgCl2(300M Hg)
Thymol(10 mg/100mL)
Niskin Bottle DIC HgCl2(300M Hg)
0
1000
2000
3000
4000
J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D
Média Histórica JIP-4
Dis
char
ge (
m3
. s-1)
1999 2000 2001
Sampling Dates
TZ
+
-100
100
300
500
700
900
1100
Co
m-1
Co
m-2
Pb
-1
Pb
-2
Jip
-1
Ro
lim
Uru
pá
Jip
-2
Jip
-3
Jarú
Ma
c
Jip
-4
Jip
-5
Pre
to
Min-Max
25%-75%
Mediana
TZ
-
-100
100
300
500
700
900
1100
Co
m-1
Co
m-2
Pb
-1
Pb
-2
Jip
-1
Ro
lim
Uru
pá
Jip
-2
Jip
-3
Jarú
Ma
c
Jip
-4
Jip
-5
Pre
to
Min-Max
25%-75%
Mediana
pH
4.0
4.5
5.0
5.5
6.0
6.5
7.0
7.5
8.0
Com
-1
Com
-2
Pb-
1
Pb-
2
Jip-
1
Rol
im
Uru
pá
Jip-
2
Jip-
3
Jarú
Mac
Jip-
4
Jip-
5
Pre
to
Min-Max
25%-75%
Mediana
CID
-100
0
100
200
300
400
500
600
700
800
Co
m-1
Co
m-2
Pb
-1
Pb
-2
Jip
-1
Ro
lim
Uru
pá
Jip
-2
Jip
-3
Jarú
Ma
c
Jip
-4
Jip
-5
Pre
to
Min-Max
25%-75%
Mediana
CO
D (
mg
.L-1
)
0
2
4
6
8
10
Com
-1
Com
-2
Pb-
1
Pb-
2
Jip-
1
Rol
im
Uru
pá
Jip-
2
Jip-
3
Jarú
Mac
Jip-
4
Jip-
5
Pre
to
Min-Max
25%-75%
Mediana
NO
3- (
mM
)
-2
2
6
10
14
18
22
Com
-1
Com
-2
Pb-
1
Pb-
2
Jip-
1
Rol
im
Uru
pá
Jip-
2
Jip-
3
Jarú
Mac
Jip-
4
Jip-
5
Pre
to
Min-Max
25%-75%
Mediana
NO
2- (uM
/L)
-5
0
5
10
15
20
25
30
35
Com
-1
Com
-2
Pb-
1
Pb-
2
Jip-
1
Rol
im
Uru
pá
Jip-
2
Jip-
3
Jarú
Mac
Jip-
4
Jip-
5
Pre
to
Min-Max
25%-75%
Mediana
Min-Max
25%-75%
Mediana
PO
43- (
uM/L
)
-0 .2
0.2
0.6
1.0
1.4
1.8
2.2
2.6
Com
-1
Com
-2
Pb-
1
Pb-
2
Jip-
1
Rol
im
Uru
pá
Jip-
2
Jip-
3
Jarú
Mac
Jip-
4
Jip-
5
Pre
to
Min-Max
25%-75%
Mediana
Min-Max
25%-75%
Mediana
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