StormTac
Last updated: 2008-05-11

Flowchart (print screen) for the storm water
model StormTac.
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System requirements and user information -
Microsoft Excel 2000 or later is required. -
English is the model language (however it is from the
flowchart possible to get a Swedish flowchart and translation of some words
from English to Swedish). -
The number format in Windows must be points and decimals
in the model must be written in points Background Metals and nutrients are
examples of pollutants in storm water which may cause toxic and eutrophic
effects in the receiving waters. StormTac is the tool that can help You
towards a more sustainable storm water management. Areas of
implementation StormTac can help you
to:
Some
unique properties
The model results are presented in a flowchart (see above), in tables and diagrams. They can also be and have been linked to other databases and GIS, see e.g. http://www.tyreso.se/pubdoc/forv/msf/Kommunaltekniska/dagv/index.htm Databases StormTac includes
databases with precipitation data, runoff coefficients, concentration data
and reduction efficiencies. Required input
data The model requires very
little input data. Watershed area (ha) per land use (e.g. houses, roads and
forests) is the only obligatory input data. The traffic intensity
(vehicles/day) is needed if studying the loads from larger roads within the
catchment area. The area and volume of the receiving water are needed for
estimating allowable loads. If the sub model “Source model” is to be used
then added input data are road length (m) and material areas (m2).
The included databases help to make more accurate analyses by letting you
change other input data such as precipitation (mm/month or mm/year), runoff
coefficients and water depths. The model parameters can
be calibrated to measured data to ensure site specific conditions being considered.
In such cases further input data consist of measured flow (m3/year
or m3/month), precipitation (mm/year or mm/month) and sampled
concentration (mg/l or ug/l). Calculation methods The
main methodology has been reviewed internationally through scientific papers
and a doctoral thesis. The
spreadsheet Excel model has been developed to automate the calculations by
using land use specific standard values. It is best suited for long-term predictions.
Runoff water flow is calculated from precipitation data and land use specific
runoff coefficients and areas. Pollutant load rate (kg/year) is quantified
from calculated flow and from standard concentrations. The standard
concentrations are estimated empirically from a large set of flow
proportional field sampling data, which contributes to their general
applicability. StormTac
includes a large amount of sub models and equations for the design of
different storm water facilities. The user can choose between a relatively
detailed and a quick, simple design. The resulted dimensions by using
different methods and by changing parameter values can easily be reviewed and
compared. Examples of included design parameters are runoff coefficients, land
use areas, facility permanent water depth, water depth of detention volume,
slope, rain depth, outflow, emptying time and reduction efficiency. The
design methods have been employed for a large number of case studies from pre
studies to final detailed construction drawings. Case studies StormTac has been used
for example in the following case studies, where * indicates that calibration
or comparison to measured data has been performed: Nybohov*, Stockholm
(residential); Essingeleden*, Stockholm (road); Sätra*, Stockholm
(residential); Lake Flaten*, Salem (residential); Flemingsbergsviken*,
Huddinge (mixed); Tyresö municipality (mixed); Upplands Väsby municipality
(mixed); Lake
Edsviken and Lake Norrviken, Sollentuna (mixed), Lidingö municipality*
(mixed); Karlstad municipality (mixed); Fittja, Botkyrka (residential);
Reykjavik, Iceland (residential); Kaliningrad, Russia (road) and Lake
Titicaca, Peru and Bolivia (mixed). |
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Standard concentrations, StormTac, version 2008-04 |
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Median |
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Land use |
Runoff
coeff. |
P |
N |
Pb |
Cu |
Zn |
Cd |
Cr |
Ni |
Hg |
SS |
oil |
PAH |
BaP |
COD |
Fe |
BOD |
TOC |
Arsenic |
DOC |
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Urban |
- |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
mg/l |
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Roads (5 000
ADT) |
0.85 |
0.14 |
1.65 |
14 |
31 |
62 |
0.24 |
1.0 |
1.15 |
0.1 |
79 |
0.2 |
0.672 |
0.007 |
25 |
1.4 |
5 |
21 |
2.4 |
21 |
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Roads (10
000 ADT) |
0.85 |
0.18 |
1.8 |
17 |
51 |
89 |
0.28 |
1.8 |
1.8 |
0.1 |
89 |
0.3 |
1.064 |
0.014 |
50 |
3 |
10 |
25 |
2.4 |
21 |
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Roads (30
000 ADT) |
0.85 |
0.24 |
2.4 |
31 |
72 |
197 |
0.44 |
5.0 |
4.4 |
0.1 |
115 |
1.0 |
1.504 |
0.042 |
100 |
5 |
15 |
30 |
2.4 |
21 |
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Roads
(100 000 ADT) |
0.85 |
0.31 |
4.5 |
80 |
94 |
575 |
1 |
16.2 |
13.5 |
0.1 |
206 |
3.4 |
1.985 |
0.14 |
225 |
8 |
25 |
47 |
2.4 |
21 |
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Parkings |
0.85 |
0.1 |
1.1 |
30 |
40 |
140 |
0.45 |
15 |
4 |
0.1 |
140 |
0.8 |
1.7 |
0.06 |
150 |
6 |
1.7 |
20 |
2.4 |
14 |
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Houses |
0.25 |
0.2 |
1.4 |
10 |
20 |
80 |
0.5 |
4 |
6 |
0.2 |
45 |
0.4 |
0.6 |
0.1 |
65 |
1.7 |
9 |
10 |
3 |
7 |
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Row
houses |
0.32 |
0.25 |
1.45 |
12 |
25 |
85 |
0.6 |
6 |
7 |
0.2 |
45 |
0.6 |
0.6 |
0.1 |
75 |
3 |
9 |
12 |
3 |
8 |
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Apartments |
0.45 |
0.3 |
1.6 |
15 |
30 |
100 |
0.7 |
12 |
9 |
0.2 |
70 |
0.7 |
0.6 |
0.1 |
85 |
5.6 |
9 |
20 |
3 |
14 |
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Leisure
houses |
0.2 |
0.46 |
3.3 |
5 |
20 |
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