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USE OF THE MACROMODEL DNS/SWAT TO CALCULATE THE NATURAL BACKGROUND OF TN AND TP IN SURFACE WATERS FOR THE RAC PARAMETER Cover

USE OF THE MACROMODEL DNS/SWAT TO CALCULATE THE NATURAL BACKGROUND OF TN AND TP IN SURFACE WATERS FOR THE RAC PARAMETER

Open Access
|May 2019

Figures & Tables

Figure 1.

RAC and RACT on a selected calculation profile of a river
RAC and RACT on a selected calculation profile of a river

Figure 2.

An example distribution of RAC and RACT along a river
An example distribution of RAC and RACT along a river

Figure 3.

The Middle Warta catchment
The Middle Warta catchment

Figure 4.

SWB located on the main stream of the central Warta catchment
SWB located on the main stream of the central Warta catchment

Figure 5.

Changing the use of catchments in the Macromodel DNS/SWAT – baseline and variant scenarios
Changing the use of catchments in the Macromodel DNS/SWAT – baseline and variant scenarios

NPC values in rivers of countries located in the Baltic Sea basin [23]

CountryTN (mg/l)TP (mg/l)
Denmark1.20.04
Finland--
Estonia1.10.04
Germany1.00.25
Latvia--
Lithuania--
Poland 0.3 – 1.2 0.04
Russia0.680.013
Sweden0.2 – 0.90.01 – 0.02

Parameters of the Macromodel DNS/SWAT for forest areas

parameterdescriptionvalue
BLAImaximum potential leaf area index5
FRGRW1fraction of the plant growing season of total potential heat units0.05
CHTMXmaximum canopy height6
RDMXmaximum root depth (m)3.5
T_OPToptimal temperature for plant growth (°C)30
T_BASEminimum temperature for plant growth (°C)10
CPYLDnormal fraction of phosphorus in yield (kgP/kg)0.0003
CNYLDnormal fraction of phosphorus in yield (kgN/kg)0.0015
BIOEHIbiomass energy ratio16
RSDCO_PLplant residue decomposition coefficient0.05
BMX_TREESmaximum biomass for a forest (tons/ha)1000
MAT_YRSnumber of years required for tree species to reach full development50
BIO_LEAFfraction of tree biomass accumulated each year that is converted to residue during dormancy0.3

List of received TN and TP loads for the base and variant scenarios and percentage share of NPL

TNTP
Number of water bodies (main stream)Baseline scenario (AL) (t/y)Variant scenario (NPL) (t/y)NPL participation (%)Baseline scenario (AL) [t/y]Variant scenario (NPL) [t/y]NPL participation (%)
561131411221047113629
571323215771250913226
581314122321751212825
591307022371753212423
601127122092040512130
611519321771458211820
621561121561471511616
631935721671193811412
average 14024 1985 14 583 124 21

Comparison of the RACT parameter value with the RAC parameter

Number of SWB (main stream)RAC for TN (t/y)RACT for TP (t/y)RACT for TN (t/y)RAC for TP (t/y)
56298110775129437
57220310286124418
5820099803104400
592345945180387
6030418996-152370
618808937-592370
625888392-1069349
63-8838124-1485351

Land use for the base and variant scenario

Land use typesreal conditionsLand use typesscenario
Artificial surfaces6.2Forest99
Agricultural areas72.8Forest20
Wetland areas0.1Wetland areas0.1
Water bodies0.9Water bodies0.9
DOI: https://doi.org/10.21307/acee-2019-017 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
Language: English
Page range: 171 - 179
Submitted on: Oct 3, 2018
Accepted on: Dec 27, 2018
Published on: May 20, 2019
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Paweł WILK, Paulina ORLIŃSKA-WOŹNIAK, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.