Process information
| Key Data Set Information | |
| Location | ND-FJ-CN |
| Geographical representativeness description | The prefecture-level city of Ningde comprises a group of districts and counties, of which Fuding city (A), Xiapu County (B), Fu’an city (C), and Jiaocheng district (D) are next to the sea and were included in our assessment. A total of 321 households were randomly sampled in the area in August 2017 and January 2018, and we analyzed the data from 292 households that had mariculture production during 2016. |
| Reference year | 2017 |
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| Use advice for data set | When using this data set for life cycle assessment, include considerations for the environmental impact of each part of the supply chain, which is color-coded as energy production (red), feed production (green), aquaculture production (blue), and production of other inputs (purple). Ensure to represent the geographical specificity of the aquaculture production to Ningde, accounting for the local practices and conditions. The data reflect the operations of 292 households in mariculture over 2016 and should be taken into account for period-specific and site-specific assessments. Due to the nature of aquaculture, be aware of the potential need to include impacts of feed supply chains, fish waste management, and the implications of using both formulated feed and live-feed practices. |
| Technical purpose of product or process | The described industrial process is used for the aquaculture of adult large yellow croaker fish specifically bred in marine cage systems. The fish are fed with both formulated feed and fresh trash fish. This process is applicable to the seafood industry, particularly focusing on the cultivation of large yellow croaker for direct human consumption. |
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| General comment on data set | The system includes energy production (red), feed production (green), the main chain of aquaculture production (blue), and the production of other inputs (purple). |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) | |
| Functional Unit | 1 live-weight ton of large yellow croaker |
| Time representativeness | |
| Data set valid until | 2018 |
| Time representativeness description | The literature did not specify the sampling time. The researchers conducted household interviews in August 2017 and January 2018 in the coastal areas of Ningde City |
| Technological representativeness | |
| Technology description including background system | Large yellow croaker commercial fish cultivation technology, a single cage area of more than 60 m2, net depth of 6 m ~ 10 m, low tide cage bottom from the seabed more than 2 m. The mesh size is 15 mm ~ 50 mm. Fish species are released during neaps. The stocking density of 50 g/ tail fish is 100 tail /m3, and the stocking density is reduced with the increase of fish size, and the stocking density is 20 tail /m3 when the size is 500 g/ tail. The selection of large yellow croaker pellet compound feed should comply with the provisions of GB/T 36206. And fresh food. |
| Flow diagram(s) or picture(s) | |
| Mathematical model | |
| Model description | In order to account for the variability of the studied system, Monte Carlo simulations were performed in R software (v.3.3.2) to model the correlation between unit process variables in LCA using copula function, which solved the correlation between process variables.Monte Carlo simulations were used in R software, with each cell process represented by a set of input parameters, a correlation matrix of geographical location and growth stages, 2000 iterations were used in the simulation, and the variability of the cell process due to inherent uncertainty, dispersion and unrepresentativeness was considered. Inherent uncertainty is included by assuming a coefficient of variation of 5%, spreads are calculated from primary and secondary data, and a pedigree approach is used to address unrepresentativeness. Dependencies between process chains are included by using dependency sampling in each iteration, as well as dependencies between processes |
Modelling and validation
Administrative information
Inputs and Outputs