Difference between revisions of "General/PreprocessingOfLandUseData/hydrology/en"
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− | = | + | = Pre-Processing of Land Use Data = |
− | + | Land use in the catchment area is crucial for deriving the parameters of the degree of sealing and vegetation data. The aim is to make known the inclusion of sub-catchment- and soil data hydrotope (which has identical hydrological characteristics) and draw up a parameter catalogue, which defines the associated land use data to the hydrotope properties. | |
− | + | First, the land use type must be classified in sealing classes (see Table of ''The sealing classes''), which divides the existing model in the field of land use to classes of the same sealing (as forest, industrial, single family homes). Every sealing class has a degree of sealing, which can be corrected for each sub catchment or for each land use polygon by a factor. By the degree of sealing, or possibly the correction factor, each hydrotope is subdivided into a natural and sealed area ratio, which causes different run off generation processes in the model calculation. | |
<div style="float:left; margin-right:1em"> | <div style="float:left; margin-right:1em"> | ||
{| class="wikitable" width="400" | {| class="wikitable" width="400" | ||
− | |colspan="4" style="text-align:center" | ''' | + | |colspan="4" style="text-align:center" | '''Sealing classes ''' |
|- style="text-align:center" | |- style="text-align:center" | ||
− | |width="50%"| ''' | + | |width="50%"| '''Land Use Type ''' |
− | |width="16.67%" | ''' | + | |width="16.67%" | '''Class ''' |
− | |colspan="2" style="text-align:center; width:33.33%" | ''' | + | |colspan="2" style="text-align:center; width:33.33%" | '''Effective Sealing degree*''' |
|-style="text-align:center" | |-style="text-align:center" | ||
| || ||'''[%]''' ||'''[-]''' | | || ||'''[%]''' ||'''[-]''' | ||
|- | |- | ||
− | | | + | |Single House||1||27,8||0,278 |
|- | |- | ||
− | | | + | |New Row Buildings||2||40,8||0,408 |
|- | |- | ||
− | | | + | |Sky scrapper||3||50,3||0,503 |
|- | |- | ||
|Neue Randbebauung||4||60,6||0,606 | |Neue Randbebauung||4||60,6||0,606 | ||
|- | |- | ||
− | | | + | |Block houses||5||80,8||0,808 |
|- | |- | ||
− | | | + | |Large educational Institution||6||59,0||0,59 |
|- | |- | ||
− | | | + | |Management ||7||78,2||0,782 |
|- | |- | ||
− | | | + | |Industry||8||70,8||0,708 |
|- | |- | ||
− | | | + | |Other Commercial Sites||9||72,9||0,729 |
|- | |- | ||
− | | | + | |Sport facilities , dikes||10||35,6||0,356 |
|- | |- | ||
− | | | + | |Rail transport ||11||13,7||0,137 |
|- | |- | ||
− | | | + | |Green and Parks ||12||19,6||0,196 |
|- | |- | ||
− | | | + | |Allotments||13||2,9||0,029 |
|- | |- | ||
− | | | + | |Arable grassland ||14||0,0||0 |
|- | |- | ||
− | | | + | |Grassland ||15||0,0||0 |
|- | |- | ||
− | | | + | |Deciduous Forest||16||0,0||0 |
|- | |- | ||
− | | | + | |Mixed Forest||17||0,0||0 |
|- | |- | ||
− | | | + | |Water Areas||18||0,0||0 |
|- | |- | ||
− | | | + | |Streets and Squares||19||95,0||0,95 |
|- | |- | ||
− | |Nutzung unbekannt||20||56,1||0,561 | + | |Nutzung unbekannt / Unknown land use||20||56,1||0,561 |
|- | |- | ||
− | | | + | |Roads||21||0,0||0 |
|- | |- | ||
− | | | + | |Water Areas RHB's||22||100,0||1 |
|- | |- | ||
− | | | + | |Coniferous Forest ||23||0,0||0 |
|- | |- | ||
− | | | + | |Wood, bushes ||24||0,0||0 |
|- | |- | ||
− | | | + | |Airport areas/runways ||25||40,8||0,408 |
|} | |} | ||
</div> | </div> |
Revision as of 12:46, 8 November 2016
Pre-Processing of Land Use Data
Land use in the catchment area is crucial for deriving the parameters of the degree of sealing and vegetation data. The aim is to make known the inclusion of sub-catchment- and soil data hydrotope (which has identical hydrological characteristics) and draw up a parameter catalogue, which defines the associated land use data to the hydrotope properties.
First, the land use type must be classified in sealing classes (see Table of The sealing classes), which divides the existing model in the field of land use to classes of the same sealing (as forest, industrial, single family homes). Every sealing class has a degree of sealing, which can be corrected for each sub catchment or for each land use polygon by a factor. By the degree of sealing, or possibly the correction factor, each hydrotope is subdivided into a natural and sealed area ratio, which causes different run off generation processes in the model calculation.
Sealing classes | |||
Land Use Type | Class | Effective Sealing degree* | |
[%] | [-] | ||
Single House | 1 | 27,8 | 0,278 |
New Row Buildings | 2 | 40,8 | 0,408 |
Sky scrapper | 3 | 50,3 | 0,503 |
Neue Randbebauung | 4 | 60,6 | 0,606 |
Block houses | 5 | 80,8 | 0,808 |
Large educational Institution | 6 | 59,0 | 0,59 |
Management | 7 | 78,2 | 0,782 |
Industry | 8 | 70,8 | 0,708 |
Other Commercial Sites | 9 | 72,9 | 0,729 |
Sport facilities , dikes | 10 | 35,6 | 0,356 |
Rail transport | 11 | 13,7 | 0,137 |
Green and Parks | 12 | 19,6 | 0,196 |
Allotments | 13 | 2,9 | 0,029 |
Arable grassland | 14 | 0,0 | 0 |
Grassland | 15 | 0,0 | 0 |
Deciduous Forest | 16 | 0,0 | 0 |
Mixed Forest | 17 | 0,0 | 0 |
Water Areas | 18 | 0,0 | 0 |
Streets and Squares | 19 | 95,0 | 0,95 |
Nutzung unbekannt / Unknown land use | 20 | 56,1 | 0,561 |
Roads | 21 | 0,0 | 0 |
Water Areas RHB's | 22 | 100,0 | 1 |
Coniferous Forest | 23 | 0,0 | 0 |
Wood, bushes | 24 | 0,0 | 0 |
Airport areas/runways | 25 | 40,8 | 0,408 |
Beispiel der Vegetationsklassen | |||
Vegetation | Klasse | ||
Bebauung | 1 | ||
Straßen und Wege | 2 | ||
Mischwald (nach DISSE und DVWK) | 3 | ||
Acker (nach DISSE, s 90) | 4 | ||
Laubwald | 5 | ||
Grünland (nach DISSE und DVWK) | 6 | ||
Nadelwald | 7 | ||
Gewässer | 8 |
'*Die Versieglungsgrade wurden mit dem Methode von Berlekamp und Pranzas (1992) abgeleitet.
Language: | English • Deutsch |
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