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Fourth Study Conference on BALTEX Scala Cinema Gudhjem

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Model parameters and coefficients: The catchment model<br />

includes a number of free parameters, which should be<br />

calibrated against time-series of daily observati<strong>on</strong>s.<br />

Normally about 10 parameters are calibrated for the water<br />

discharge, and 4-8 for the N and P transformati<strong>on</strong>.<br />

Calibrati<strong>on</strong> is made simultaneously for several observati<strong>on</strong><br />

sites in a regi<strong>on</strong> to get robust parameter values, which are<br />

then transposed to all subbasins in that regi<strong>on</strong>. This<br />

procedure is made step-wise, starting with groundwater, then<br />

rivers and finally lakes.<br />

Up-scaling of results to coastal z<strong>on</strong>es and nati<strong>on</strong>al level:<br />

Source apporti<strong>on</strong>ment for different coast segments or the<br />

nati<strong>on</strong> is achieved by adding sources for different categories<br />

and all subbasins. This is made separately for gross and net<br />

load to illustrate the influence of removal processes. Net<br />

load is the remaining part of the gross load, which<br />

eventually reaches the sea after N removal in groundwater,<br />

rivers and lakes downstream a specific source and subbasin.<br />

Scenarios of water-quality measure impact: Once the<br />

model is set-up and validated for a catchment, it is possible<br />

to make sensitivity studies, in order to evaluate possible<br />

impact of various measures to improve the water quality.<br />

Impact from several remedial-measure strategies has been<br />

studied by scenario modelling of two Swedish river basins,<br />

including costs estimates.<br />

3. Results and Discussi<strong>on</strong><br />

Time-series of modelled water discharge was compared to<br />

observati<strong>on</strong>s at 307 sites in Sweden: at 188 sites the volume<br />

error was less than 5%, 82 sites showed a volume error<br />

between 5 and 10%, while it was more than 10% at 37 sites.<br />

Hence, the model can be used for rather trustworthy<br />

distributed mapping of nati<strong>on</strong>al water discharge.<br />

More than 100 independent time-series from different<br />

observati<strong>on</strong> sites were used for validati<strong>on</strong> of the N of<br />

Sweden. Annual transport and average c<strong>on</strong>centrati<strong>on</strong>s show<br />

good correlati<strong>on</strong> to measured values, while daily<br />

c<strong>on</strong>centrati<strong>on</strong> fluctuati<strong>on</strong>s were more difficult to capture at<br />

the nati<strong>on</strong>al scale. The P routine of HBV-NP has <strong>on</strong>ly been<br />

applied for two Swedish regi<strong>on</strong>s so far, and the results are of<br />

similar quality as for N.<br />

The Swedish envir<strong>on</strong>mental goal to combat eutrophicati<strong>on</strong><br />

includes a reducti<strong>on</strong> of 20% for P load and 30% for N load.<br />

In the case study of Rönne å in southern Sweden, the<br />

potential of reducing the load to the sea varied a lot between<br />

N and P for different measures. For P, it is still most<br />

effective to approach emissi<strong>on</strong>s from rural households and<br />

treatment plants. This has also been the Swedish policy so<br />

far, although the c<strong>on</strong>trol of rural households has been<br />

insufficient and the treatment is not yet in accordance with<br />

Swedish standards. Moreover, wetlands in agricultural areas<br />

also seem to have a significant potential to reduce the P load<br />

(by 5-8%). For N, <strong>on</strong> the other hand, the results show that it<br />

is also necessary to combat diffuse leaching from arable land<br />

to reach the envir<strong>on</strong>mental goal. The introducti<strong>on</strong> of catch<br />

crops, removal of autumn seeds and rubs, introducti<strong>on</strong> of<br />

spring crops and ploughing and fertilisati<strong>on</strong> at springtime,<br />

would remove 19% of the N load from the catchment at a<br />

rather small annual cost (25 milli<strong>on</strong> SEK or 100 SEK/kgN).<br />

This was found to be <strong>on</strong>e of the most cost-effective<br />

measures for this specific catchment. However, it must still<br />

be combined with other measures to approach the goal. For<br />

N, it seems doubtful that the goal is possible reach without<br />

involving all sectors with emissi<strong>on</strong>s in the regi<strong>on</strong>.<br />

- 187 -<br />

When testing scale dependency and limits in the HBV-N<br />

model applicati<strong>on</strong> for the entire Baltic Sea regi<strong>on</strong> (Fig. 2),<br />

it was obvious that <strong>on</strong>e of the major obstacles is the still<br />

high input-data demand. Although databases are now<br />

available for the entire regi<strong>on</strong>, data quality is sometimes<br />

poor and the spatial resoluti<strong>on</strong> not satisfactory for<br />

distributed water quality modelling. It can also be<br />

questi<strong>on</strong>ed if the basic c<strong>on</strong>cept is applicable <strong>on</strong> the<br />

southern part of the basin, where residence times in<br />

groundwater and transit time within soils is much l<strong>on</strong>ger,<br />

due to different and deeper soils than in Scandinavia.<br />

River behaviour is also much different with l<strong>on</strong>g residence<br />

times in slow flowing waterbodies, which may not be<br />

properly described in the present HBV-NP c<strong>on</strong>cept.<br />

2<br />

1<br />

0<br />

o n d j f m a m<br />

M<strong>on</strong>th<br />

j j a s<br />

40000 (m3/s) Q(computed)<br />

20000<br />

400 000<br />

200 000<br />

Tot-N<br />

(mg/L)<br />

0<br />

1980 1982 1984 1986 1988 1990<br />

0<br />

Tot-N<br />

(t<strong>on</strong>nes/<br />

year)<br />

Atm.dep.<br />

<strong>on</strong> lakes<br />

measured<br />

computed<br />

Q(recorded)<br />

Industry Populati<strong>on</strong> Forest Open land<br />

Figure 2. HBV-N modelling of the Baltic Sea basin<br />

(Petterss<strong>on</strong> et al., 2000), recently expanded to<br />

include also Skagerakk (not shown in the figure).<br />

4. C<strong>on</strong>clusi<strong>on</strong>s<br />

• The HBV-NP model seems to deliver trustworthy<br />

results for daily water discharge and annual nutrient<br />

load under Swedish c<strong>on</strong>diti<strong>on</strong>s.<br />

• The HBV-N model is a valuable tool for water<br />

authorities in Sweden, when implementing the EU<br />

Water Framework Directive and evaluating measures<br />

for nutrient load reducti<strong>on</strong> at the catchment scale.<br />

• In applicati<strong>on</strong>s of HBV-N to the entire Baltic Sea<br />

basin, there is still a lack of distributed input-data,<br />

and the model c<strong>on</strong>cept needs further development.<br />

References<br />

Anderss<strong>on</strong>, L., Arheimer, B., Larss<strong>on</strong>, M., Olss<strong>on</strong>, J., Pers,<br />

B.C., Rosberg, J., T<strong>on</strong>derski, K., and B. Ulén. 2003.<br />

HBV-P: a catchment model for phosphorus transport,<br />

Proceedings of Quantifying the Agricultural<br />

C<strong>on</strong>tributi<strong>on</strong> to Eutrophicati<strong>on</strong>, COST 832 Final<br />

Meeting, 31 July - 2 August, Cambridge, U.K., 59-60.<br />

Arheimer, B., 2003. Handling scales when estimating<br />

Swedish nitrogen c<strong>on</strong>tributi<strong>on</strong> from various sources to<br />

the Baltic Sea. Lanschap 20(2):63-72.<br />

Brandt, M. and Ejhed, H., 2003. TRK-Transport,<br />

Retenti<strong>on</strong>, Källfördelning. Belastning på havet.<br />

Swedish Envir<strong>on</strong>mental Protecti<strong>on</strong> Agency, Report<br />

No. 5247.<br />

Petterss<strong>on</strong>, A., Brandt, M. and Lindström, G., 2000.<br />

Applicati<strong>on</strong> of the HBV-N model to the Baltic Sea<br />

Drainage Basin. Tidskriften Vatten 56:7-13.

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