USE OF THE MACROMODEL DNS/SWAT TO CALCULATE THE NATURAL BACKGROUND OF TN AND TP IN SURFACE WATERS FOR THE RAC PARAMETER
and | May 20, 2019
About this article
Article Category: research-article
Published Online: May 20, 2019
Page range: 171 - 179
Received: Oct 03, 2018
Accepted: Dec 27, 2018
DOI: https://doi.org/10.21307/acee-2019-017
Keywords
© 2019 Paweł WILK; et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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NPC values in rivers of countries located in the Baltic Sea basin [23]
| Country | TN (mg/l) | TP (mg/l) |
|---|---|---|
| Denmark | 1.2 | 0.04 |
| Finland | - | - |
| Estonia | 1.1 | 0.04 |
| Germany | 1.0 | 0.25 |
| Latvia | - | - |
| Lithuania | - | - |
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| Russia | 0.68 | 0.013 |
| Sweden | 0.2 – 0.9 | 0.01 – 0.02 |
Parameters of the Macromodel DNS/SWAT for forest areas
| parameter | description | value |
|---|---|---|
| BLAI | maximum potential leaf area index | 5 |
| FRGRW1 | fraction of the plant growing season of total potential heat units | 0.05 |
| CHTMX | maximum canopy height | 6 |
| RDMX | maximum root depth (m) | 3.5 |
| T_OPT | optimal temperature for plant growth (°C) | 30 |
| T_BASE | minimum temperature for plant growth (°C) | 10 |
| CPYLD | normal fraction of phosphorus in yield (kgP/kg) | 0.0003 |
| CNYLD | normal fraction of phosphorus in yield (kgN/kg) | 0.0015 |
| BIOEHI | biomass energy ratio | 16 |
| RSDCO_PL | plant residue decomposition coefficient | 0.05 |
| BMX_TREES | maximum biomass for a forest (tons/ha) | 1000 |
| MAT_YRS | number of years required for tree species to reach full development | 50 |
| BIO_LEAF | fraction of tree biomass accumulated each year that is converted to residue during dormancy | 0.3 |
List of received TN and TP loads for the base and variant scenarios and percentage share of NPL
| TN | TP | |||||
|---|---|---|---|---|---|---|
| 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 (%) |
| 56 | 11314 | 1122 | 10 | 471 | 136 | 29 |
| 57 | 13232 | 1577 | 12 | 509 | 132 | 26 |
| 58 | 13141 | 2232 | 17 | 512 | 128 | 25 |
| 59 | 13070 | 2237 | 17 | 532 | 124 | 23 |
| 60 | 11271 | 2209 | 20 | 405 | 121 | 30 |
| 61 | 15193 | 2177 | 14 | 582 | 118 | 20 |
| 62 | 15611 | 2156 | 14 | 715 | 116 | 16 |
| 63 | 19357 | 2167 | 11 | 938 | 114 | 12 |
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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) |
|---|---|---|---|---|
| 56 | 2981 | 10775 | 129 | 437 |
| 57 | 2203 | 10286 | 124 | 418 |
| 58 | 2009 | 9803 | 104 | 400 |
| 59 | 2345 | 9451 | 80 | 387 |
| 60 | 3041 | 8996 | -152 | 370 |
| 61 | 880 | 8937 | -592 | 370 |
| 62 | 588 | 8392 | -1069 | 349 |
| 63 | -883 | 8124 | -1485 | 351 |
Land use for the base and variant scenario
| Land use types | real conditions | Land use types | scenario |
|---|---|---|---|
| Artificial surfaces | 6.2 | Forest | 99 |
| Agricultural areas | 72.8 | Forest | 20 |
| Wetland areas | 0.1 | Wetland areas | 0.1 |
| Water bodies | 0.9 | Water bodies | 0.9 |