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Process Data set: Inert natural mix from Lombardy Region (en) en

Key Data Set Information
Location IT
Geographical representativeness description Lombardy Region.
Reference year 2022
Name
Inert natural mix from Lombardy Region
Technical purpose of product or process Extraction of a tonne of the natural mixture from a sand and gravel quarry located in the Lombardy Region.
Synonyms Estrazione mistone naturale
Classification
Class name : Hierarchy level
  • ILCDCategories: Materials production / Non-energetic raw materials
General comment on data set Dataset developed within the ARCADIA project in the context of the PhD of Federica Carollo (Politecnico di Milano). The dataset relates to extracting a tonne of the natural mixture from a sand and gravel quarry in the Lombardy Region. The dataset is composed of 3-unit processes: 1) Input or sand and gravel; 2) Diesel consumption for the extraction; 3) Transport to final use (average sale distance).
Copyright Yes
Owner of data set
Data set LCA report, background info
Quantitative reference
Reference flow(s)
Time representativeness
Data set valid until 2027
Technological representativeness
Technology description including background system The mining activity consists of two main phases: the extraction of sand and gravel from natural deposits and subsequent processing. The processing usually consists of a screening line to produce the various sand and round gravel granulometry and a parallel line for shredding and screening the coarser fractions to make the "split". In addition, the sands are usually subjected to washing and cyclone cycles to separate the ultra-fine and silty substances that take root on their surface and must be removed when you want to use the sands in cement and bitumen production. Good the Reliability; Very Good the Geographical representativeness; Very Good the Time representativeness; Very Good the Technological representativeness.
LCI method and allocation
Type of data set Partly terminated system
LCI Method Principle Attributional
LCI method approaches
  • Allocation - mass
LCA methodology report
Data sources, treatment and representativeness
Documentation of data quality management
Data source(s) used for this data set
Completeness
Completeness of product model All relevant flows quantified
Validation
Type of review Data quality indicators
Not reviewed
  • Overall quality: Good
  • Methodological appropriateness and consistency: Good
  • Precision: Good
  • Completeness: Good
  • Geographical representativeness: Good
  • Time representativeness: Good
  • Technological representativeness: Good
Compliance Declarations
Compliance
Compliance system name
Approval of overall compliance
Fully compliant
Nomenclature compliance
Fully compliant
Methodological compliance
Fully compliant
Review compliance
Fully compliant
Documentation compliance
Fully compliant
Quality compliance
Fully compliant
Compliance
Compliance system name
Approval of overall compliance
Not compliant
Nomenclature compliance
Fully compliant
Methodological compliance
Fully compliant
Review compliance
Fully compliant
Documentation compliance
Fully compliant
Quality compliance
Fully compliant
Commissioner and goal
Commissioner of data set
Project Arcadia – PON Governance e Capacità istituzionali 2014-2020 (PhD Project of Federica Carollo).
Data generator
Data set generator / modeller
Data entry by
Time stamp (last saved) 2022-12-03T16:31:39.861+02:00
Data set format(s)
Publication and ownership
UUID 813884e1-8f75-412c-885f-1827833d032c
Date of last revision 2017-02-07T15:05:37.476Z
Data set version 01.00.000
Permanent data set URI ../processes/813884e1-8f75-412c-885f-1827833d032c.xml
Owner of data set
Copyright Yes
License type Free of charge for all users and uses
Access and use restrictions Type of license: Open Database Licence (ODbL).
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