Key Data Set Information | |
Location | ZY-GS-CN |
Geographical representativeness description | Gaotai County |
Reference year | 2012 |
Name |
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Use advice for data set | Users should apply this data in the context of the life cycle assessment of agricultural crops, considering regional specificities such as Gaotai, Zhangye for more accurate environmental impact evaluations. Caution should be exercised in extrapolating results to different regions or agricultural systems without adjusting for local conditions. The LCA model should also take into account the type of fertilizers and electricity production used, as these are starting points of the system boundary. Assessments should be updated with local data when more recent statistics are available to ensure relevance and accuracy. |
Technical purpose of product or process | The data represents the life cycle inventory of corn production in Gaotai, Zhangye, and it is intended for evaluating the environmental footprint, specifically the carbon footprint, of the corn production process. The corn produced can be utilized as a food source, for animal feed, or as a raw material for industrial processes such as biofuel production or bioplastic manufacturing. The research encompasses agricultural input production systems (including chemical fertilizers and electricity) and crop production systems, reflecting the full extent of resource inputs and pollutant outputs in agricultural practices. |
Classification |
Class name
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Hierarchy level
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General comment on data set | The article is based on research data collected from farmers, using the theory of agricultural carbon footprint and life cycle assessment to quantitatively study the carbon footprint and its composition of the rice-wheat rotation system in the downstream area of the Yangtze River. It further analyzes the factors influencing the carbon footprint. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | 1 t |
Time representativeness | |
Data set valid until | 2012 |
Technological representativeness | |
Technology description including background system | LCA method is used to evaluate the agricultural system of seed corn production, which takes the whole process of product treatment from input to final output as the research object to conduct quantitative analysis and comparison, so as to evaluate the environmental impact of seed corn production [13]. In this paper, the mass of seed corn 1 t is used as the functional unit. The boundary of the system starts from the production of fertilizer and electricity, and ends from the output of agricultural products and pollutants in the crop planting process. In other words, there are two production systems, namely the agricultural material production system and the crop production system |
Flow diagram(s) or picture(s) |
LCI method and allocation | |||||
Type of data set | Unit process, single operation | ||||
LCI Method Principle | Attributional | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviations from LCI method approaches / explanations | The system boundary starts with the production of chemical fertilizers and electricity, and the terminal boundary is the output of agricultural products and pollutants during the crop planting process. There are two production systems: the agricultural input production system and the crop production system. | ||||
Deviation from modelling constants / explanations | None | ||||
Data sources, treatment and representativeness | |||||
Deviation from data cut-off and completeness principles / explanations | None | ||||
Data selection and combination principles | The data in this text comes from the statistical sampling survey of Zhangye city, and additional data obtained from a special survey conducted during the 2012 input-output table. In Ganzhou district, Jiantan town, Dangzhai village, and Xiaoman village were selected; in Linze county, Shahe town and Pingchuan town were selected; in Gaotai county, Xuanhua town, Xiangdao village, and Luotuo city township were chosen. After excluding incomplete data, a total of 72 household's effective data was obtained | ||||
Deviation from data selection and combination principles / explanations | None | ||||
Data treatment and extrapolations principles | Using a combination of stratified random sampling and typical sample selection methods, data were collected through questionnaire surveys and structured interviews with typical samples. The survey content revolves around all input production elements and economic costs, as well as resource consumption, etc. The output mainly focuses on product yield and the current economic value, as well as the quantity of waste generated and its disposal methods. | ||||
Deviation from data treatment and extrapolations principles / explanations | None | ||||
Data source(s) used for this data set | |||||
Sampling procedure | It is determined that the survey sample size in the three counties and districts of Zhangye city needs to add 80 household surveys. The composition of the samples maintains the principle of being consistent with the local agricultural added value ratio. The corresponding survey household numbers are determined according to the agricultural added value ratio of 7:5:8, that is, 28, 20, and 32 households are respectively drawn from the three counties and districts. | ||||
Completeness | |||||
Completeness of product model | No statement | ||||
Validation | |||||
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Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2024-03-20T21:29:40+08:00 |
Publication and ownership | |
UUID | 5cd88019-ebda-4e6f-bc9a-79afc38ad652 |
Date of last revision | 2024-04-20T14:33:21.644665+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=5cd88019-ebda-4e6f-bc9a-79afc38ad652&version=01.00.000&stock=TianGong |
Owner of data set | |
Copyright | No |
License type | Free of charge for all users and uses |
Inputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Other Services / Other services | 0.3 MJ | 0.3 MJ | ||||||
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Product flow | Other Services / Other services | 2176.0499999999997 EUR | 2176.0499999999997 EUR | ||||||
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Product flow | Energy carriers and technologies / Electricity | 658.368 MJ | 658.368 MJ | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
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Product flow | Materials production / Food and renewable raw materials | 1000.0 kg | 1000.0 kg |