Teluk Banten, Indonesia
Water and Salt Budgets, and Implications for the Nutrient Budgets
Han Lindeboom, Jan van Ooijen, S. V. Smith, V. Dupra, and T. Yanagi
October 24, 2000
Teluk Banten (Banten Bay; surface area ~ 150 km2; Figure 1) provides interesting insight into critical analysis of analytical data in the budgetary analysis of water exchange and nutrient dynamics. This system is a relatively shallow (7 m, average depth) embayment on the north-west coast of the Indonesian island of Java.
Biotic communities in the bay include coral reef and seagrass beds. The land adjacent to the bay, approximately 60 km west of Jakarta, is becoming rapidly industrialized. At present, however, domestic and agricultural wastes apparently dominate the discharge of nutrients into the system. Runoff into the system totals about 1-2x106 m3 d-1; we assume that this freshwater input dominates in the system, and we use the lower value for the analysis presented here. From regional data, we estimate that rainfall and evaporation each average < 106 m3 d-1 across the bay area, approximately balancing one another in the water budget.
Water composition data have been collected by both Dutch and Indonesian scientists, and there are some substantial discrepancies between the two sets of data. There is no real difference between the Dutch and Indonesian data for salinity. The salinity difference between the coastal stations and the open sea (32.4-32.6 psu, with no coherent pattern) is too small to be used for quantitatively reliable salt budget calculations.
Figure 1. Map of Teluk Banten (Banten Bay). Solid bar shows the boundary of the budgeted area.
For dissolved inorganic phosphorus (DIP), the Dutch team measured values between 0.06 and 0.1 m M, whereas the Indonesian team measured values between 0.2 and 0.9 m M. For dissolved inorganic nitrogen (DIN), these values amounted to 0.0-0.4 m M (Dutch data) and 1.6-2.2 m M (Indonesian data). There is no feature of the analytical methodology that explains the discrepancies, but the Indonesian concentrations for local ocean values (average » 0.4 m M DIP, 2m M DIN) seem too high. Moreover, results from the Dutch laboratory have been intercalibrated against about 40 other European laboratories and have been given the rating "very good performance." More details about sampling, storing and analyzing conditions would be required to resolve the analytical problem. Consequently, only the Dutch data are used in the budgetary analysis.
Water exchange for Teluk Banten cannot be calculated via water and salt budgets, because there is an insignificant salinity difference between the bay and ocean. Mixing (VX) cannot be determined. However, independently of the salt budget, the Dutch scientists estimate that the exchange time is about 10 days; this should be further resolved with a detailed numerical hydrographical model (P. Hoekstra, personal communication). In the meantime, we will demonstrate that we think this is too long; that is, the value for VX is significantly underestimated with that exchange time.
From the LOICZ guidelines (Gordon et al., 1996) water exchange time (t ) is defined as:
(1)
where Vsyst, VX, and VR are the system volume, daily mixing volume and residual flow, respectively. Further, ignoring rainfall and evaporation, VR = -VQ, where VQ = daily runoff. Rounded off, Vsyst » 1x109 m3, and VQ » 1x106 m3 d-1. At salinity values near oceanic, VX dominates and we can ignore VR in equation (1). Taking t » 10 days, we derive VX » 100 x 106 m3 d-1, roughly 1000 times as large as VR. We now demonstrate that VX is probably larger than this value.
Salt flux associated with VR is calculated as:
(2)
This outward salt flux must be balanced by inward salt mixing:
(3)
Usually we solve equation (3) for VX; this requires knowledge of the salinity difference, and that this difference be non-0. In the present case, we assume that we know VX and solve for the salinity difference (Socn-Ssyst):
(3a)
This salinity difference is much larger than implied by either the Dutch or the Indonesian salinity data. Taking that difference to be closer to 0.1 psu (and perhaps smaller) and solving for VX, we approximate
(3b)
Returning to equation (1), t is <= 3 days.
VX can also be estimated independently of a salt budget, as given by Yanagi (2000). Yanagi has presented an algorithm based on standard mixing equations derived from Okubo (1971). Water mixing across the open boundary of the system is governed by dispersion (shear diffusion). In the case of dominant horizontal shear (a wide and shallow coastal system, such as Teluk Banten), the horizontal dispersion coefficient Dh is calculated as:
(4a)
where U is the residual flow velocity at the surface layer of the open boundary; W is the width of the open boundary of the system (15x103 m); and Kh is the horizontal diffusivity (~13 m2 sec-1, from Figure 2 and equation (4) of Okubo, 1971). Assuming U » 0.1 m sec-1and solving (4a), Dh is about 1,400 m2 sec-1, or about 120x106 m2 d-1.
The horizontal dispersion coefficient is then converted to VX, in the LOICZ notation, by the following equation:
(4b)
Here A denotes the cross sectional area of the open boundary of the system and d the length between the center of the system and the observation point of the ocean salinity. A is approximately 105 m2 and d is approximately104 m. With this algorithm, the estimated value for VX is about 1,200x106 m3 d-1.
To be consistent with equation (3a), this would imply a salinity difference between the coastal ocean and the system of about 0.03 psu. This very low salinity difference (i.e., not different from 0) is consistent with the data, while demonstrating why a salt budget might not work in this system. The further points to note from these calculations are that t = 10 days seems too long, and that any value for t less than about 3 days would result in a bay-to-ocean salinity difference of 0.1 psu or less.
Estimation of the correct exchange time becomes significant to the nutrient budgets, as demonstrated in the table that follows. In this table, the estimated fluxes for independent variables other than VX (i.e., VR and the nutrient concentrations) are held constant. At VX values varying from one that seems low (VX = 100x106 m3 d-1; based on t = 10 days) mixing is the dominating term in the nutrient budgets; as estimated VX grows, this term becomes more important. Even though this system receives a substantial nutrient input from land, the oceanic source is larger. We take VX = 300x106 m3 d-1 (t = 3 days) to be the best estimate of water exchange.
Further, regardless of uncertainty in the absolute values for nonconservative nutrient fluxes, these fluxes per unit area are modest, even with the highest value for VX. Rates of estimated (p-r) and (nfix-denit) are also given. Rates of these processes are calculated on the assumption that plankton dominate the net metabolism. Net ecosystem metabolism (p-r) ranges between +2 and +18 mmol m-2 d-1, depending on the estimated mixing (best estimate yields 5 mmol m-2 d-1). Estimates of (nfix-denit) range between +0.1 and +1.1 mmol m-2 d-1 (best estimate = 0.4). In all cases, the system appears to be net autotrophic and a net nitrogen fixer; the rates appear reasonable for a reef system with a significant planktonic component.
Nonconservative nutrient fluxes calculated from the Indonesian data are too high to be believed, especially at the higher estimates of water exchange and are inconsistent in sign between two data sets. These problems are useful reminders that, insofar as possible, data analytical quality should be considered during budgetary analyses.
Table 1. Estimated fluxes of water, salt, and nutrients, based on differing estimates of VX |
|||
Variable |
VX = 100x106 m3 d-1 |
VX = 300x106 m3 d-1 |
VX = 1,200x106 m3 d-1 |
VQ = -VR (106 m3d-1) |
1 |
1 |
1 |
VRSR =-VX(Socn-Ssysr) (106 psu m3 d-1) |
-32 |
-32 |
-32 |
(Socn-Ssyst) (psu) |
0.32 |
0.11 |
0.03 |
t (days) |
10 |
3 |
1 |
terrigenous DIP load (kmol d-1) |
+1 |
+1 |
+1 |
DIPsyst (m M) |
0.07 |
0.07 |
0.07 |
DIPocn (m M) |
0.09 |
0.09 |
0.09 |
VRDIPR (kmol d-1) |
-0 |
-0 |
-0 |
VX(DIPocn-DIPsyst) (kmol d-1) |
+2 |
+6 |
+24 |
D DIP (kmol d-1) |
-3 |
-7 |
-25 |
D DIP (mmol m-2 d-1) |
-0.02 |
-0.05 |
-0.17 |
terrigenous DIN load (kmol d-1) |
+3 |
+3 |
+3 |
DINsyst (m M) |
0.12 |
0.12 |
0.12 |
DINocn (m M) |
0.32 |
0.32 |
0.32 |
VRDINR (kmol d-1) |
-0 |
-0 |
-0 |
VX(DINocn-DINsyst) (kmol d-1) |
+20 |
+60 |
+240 |
D DIN (kmol d-1) |
-23 |
-63 |
-243 |
D DIN (mmol m-2 d-1) |
-0.2 |
-0.4 |
-1.6 |
(p-r) (mmol m-2 d-1) |
+2.1 |
+5.3 |
+18.0 |
(nfix-denit) (mmol m-2 d-1) |
+0.1 |
+0.4 |
+1.1 |
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