Landkreis Waldshut - Biowaste composition Other
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Landkreis Waldshut - Biowaste composition

Other
Biowaste composition analysis for the entire year of 2021 in the district of Waldshut.
Series: Biowaste Test 1 Raw data available Normalized view available
Context

About this sample

Material
Other
Series
Biowaste Test 1
Timestep
Average
Sources
HPA 2019
Quality and provenance

At a glance

Composition data
7
Other sample properties
0
Composition groups
3
Raw data groups
3
Completeness
83%
5 of 6 checks complete
Normalization
Available
1 linked source

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Measurements
Measurement workspace
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Composition data
Raw mass-related component measurements grouped by composition category. Use the normalized composition view below when you want shares that sum to 100% within a group.
Normalized view below

Component Abbr. Basis Value n Method Sources Comments
Fresh Matter (FM) - Fresh Matter (FM) 100 ± 0 % - - - -

Component Abbr. Basis Value n Method Sources Comments
Biowaste - Fresh Matter (FM) 99.2 ± 0 % - - - -
Macro-Impurities - Fresh Matter (FM) 0.8 ± 0 % - - - -

Component Abbr. Basis Value n Method Sources Comments
Garden and Park waste - Fresh Matter (FM) 48.1 ± 0 % - - - -
Food waste - Fresh Matter (FM) 41.9 ± 0 % - - - -
Paper - Fresh Matter (FM) 9.1 ± 0 % - - - -
Macro-Impurities - Fresh Matter (FM) 0.9 ± 0 % - - - -
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Mass-related Measurements
Normalized view
Derived from the raw mass-related measurements above. Each group is normalized to 100%, and missing fractions are shown as Other.
View raw measurements
Total Material
Derived % of Fresh Matter (FM)
Component Share
% of Fresh Matter (FM)
Fresh Matter (FM) 100.0%
Organic/Inorganic
Derived % of Fresh Matter (FM)
Component Share
% of Fresh Matter (FM)
Biowaste 99.2%
Macro-Impurities 0.8%
Chemical Elements
Derived % of Fresh Matter (FM)
Component Share
% of Fresh Matter (FM)
Garden and Park waste 48.1%
Food waste 41.9%
Paper 9.1%
Macro-Impurities 0.9%
Quality and provenance
Data basis and interpretation
  • Composition data can be explored as raw group measurements or as normalized shares.
  • Normalized groups sum to 100%, and any missing fraction is shown as Other.
  • Basis components, units, sample sizes, methods, sources, and comments are shown inline where available.
  • Use the raw measurement tables when you need analytical context; use the normalized view when you need a quick compositional comparison.
Linked provenance
1 source
HPA 2019