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 (LCA), ensure that the geographical and methodological boundaries are defined as per the data collection regions of Ningde, which include Fuding city, Xiapu County, Fu'an city, and Jiaocheng district. Be aware that the assessed households were engaged specifically in sea-based cage aquaculture during the year 2016. This data set should be used with consideration of the particular feed type used (trash fish) and the production of energy, feed, and other inputs as segmented by color codes. Any system expansion or allocation procedures should also take into account the locale-specific practices and data from the sampled 292 households. |
| Technical purpose of product or process | The data set represents large yellow croaker seedling breeding using cage culture with exclusive trash fish feed. This aquaculture process is mainly applicable for mariculture facilities, particularly those around the Ningde city region, focusing on the cultivation of high-demand seafood. |
| Classification |
Class name
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Hierarchy level
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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 | The cage seedling cultivation technology of large yellow croaker, the sea area is selected as small and medium wave area, the water depth at low tide is ≥8 m, the flow rate is smooth, the flow rate is less than 1.5 m/s, and the flow direction is smooth and stable. The sea area with high flow rate which can be controlled by technical measures can also be used as aquaculture area. Water quality should comply with the provisions of GB 11607, water temperature: 8 ℃ ~ 31 ℃; Salinity: 13 ~ 35. The area of a single cage is 16 m 2 ~ 100 m 2, and the net depth is 4.0m ~ 8.0m. Net mesh 3 mm ~ 15 mm, adjust the size according to the specifications of the fish, in order not to escape the fish as the principle. Only fresh and mixed fish ingredients are used for breeding feed. |
| 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