Key Data Set Information | |
Location | RZ-SD-CN |
Geographical representativeness description | The study is located in Tao Luo Town, Rizhao City, Shandong Province. |
Reference year | 2019 |
Name |
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Use advice for data set | When using this data set for Life Cycle Assessment, it is important to include all stages mentioned: infrastructure for farm construction, shrimp seedling transport, shrimp breeding, market transportation, and infrastructure disposal. Special attention should be given to the representative nature of the inputs and outputs from the aquaculture and feed processing factories, as well as the local water quality monitoring data. Ensure that the time and location of data collection are relevant for the assessed system and account for seasonal differences by considering the data from June and November 2019. If modeling transport to the market, use the provided transportation data from Rizhao City’s seafood wholesale market and aquaculture farm surveys. |
Technical purpose of product or process | Penaeus vannamei, commonly known as white shrimp, is cultured in this process for the purpose of seafood production. The cultivated shrimp are intended for consumption and distributed to various markets after reaching maturity. This factory farming method is designed for high-volume, controlled production of shrimp to meet consumer demand in food industries. The shrimps are grown using a compound feed that includes ingredients such as fish meal, soybeans, peanuts, fish oil, flour, minerals, and adhesives. |
Classification |
Class name
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Hierarchy level
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General comment on data set | The research scope of this paper includes five stages: infrastructure construction of aquaculture farms, transportation of shrimp seedlings, shrimp breeding, shrimp transportation to market, and infrastructure disposal. Among them, feed production for shrimp breeding stage is a link, is the use of fish meal, soybeans, peanuts, fish oil, flour, minerals and adhesives production of compound feed |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | 1 ton of white shrimp |
Time representativeness | |
Data set valid until | 2021 |
Time representativeness description | The sampling time was not specified in the literature. The researcher conducted a survey at the fixed observation point of Taoluo Town, Rizhao City, Shandong Province in June and November 2019. |
Technological representativeness | |
Technology description including background system | Technology of factory culture of Penaeus alba. Factory farming is divided into three types: factory stillwater farming, factory running water farming and factory circulating water farming. The shrimp farmers in Rizhao City where this research institute is located mostly adopt factory running water farming. In this farming mode, farmers have a number of breeding sheds with brick-concrete structure, good light transmission and heat preservation. Each breeding shed will have a number of breeding ponds, the shape is mostly regular quadrilateral, the scale is mostly 4m(length)*4m (width), 5m(length)*5m (width), 6m(length)*6m (width), and the depth of the pool is mostly between 1m and 1.3m. The bottom of the pool is in the shape of a pot to drain water to the middle [110], and the center of the bottom of the pool is set with a Φ110 mm polyvinyl riser for drainage. Drainage is generally divided into three stages, the early displacement is small, about 8-10cm per day, the duration is mostly 25-35 days; In the middle period, the displacement is large, and the drainage is about 25-40cm per day, and the duration is mostly 50-60 days. The latter stage displaces the most, draining about 60-70cm per day for a duration of 30-45 days. The growth cycle of the South American white shrimp in this region is mostly 110-130 days, and the majority of the shrimp are raised 2 times a year, and the survival rate is about 35%-55%. Regarding the input of feed, factory farming generally only throws compound feed. In addition, every year, farmers have to clean the pond disinfection, the frequency is twice a year. |
Flow diagram(s) or picture(s) | |
Mathematical model | |
Model description | In this study, the equivalent factor method is used for the characteristics. According to the impact potential degree of different substances on the same environmental impact type, one of them is used as the reference substance, and the impact potential value is 1. The equivalent factor is the ratio of the impact potential of other substances of the same quality to the impact potential value of the reference substance |
LCI method and allocation | |||||
Type of data set | Unit process, black box | ||||
LCI Method Principle | Attributional | ||||
Deviation from LCI method principle / explanations | None | ||||
LCI method approaches |
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Deviations from LCI method approaches / explanations | The research done in this paper is a typical case study rather than a statistical study: firstly, taking a Penaeus vannamei farm in Rizhao City as an example, using the life cycle assessment method and SimaPro9.0 software, the carbon emissions of Penaeus vannamei farming industry chain at each stage are quantified and analyzed. Then the same method was used to calculate the carbon emissions of the shrimp industry chain of 13 farms and take the mean value for analysis | ||||
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 come from field investigation of 13 farms, and the data are real, effective and reliable. The calculated carbon emissions of the 13 cases were analyzed by taking the mean value. Secondly, part of the data is derived from the SimaPro database, which contains the latest science-based multiple life cycle impact assessment methods and databases | ||||
Deviation from data selection and combination principles / explanations | None | ||||
Data treatment and extrapolations principles | Literature researchers used SimaPro9.0 software to quantify the carbon emissions at each stage of the shrimp breeding industry chain, and on this basis, analyzed the carbon emissions of the shrimp industry chain of 13 farms and took the mean value. Among them, the information of the infrastructure construction stage of the breeding farm mainly includes the type, quantity and service life of construction materials, etc. The information of shrimp fry transportation stage mainly includes the source and destination of shrimp fry transportation, transportation mode, transportation weight, transportation distance, energy consumption during transportation, etc. The information of adult shrimp breeding stage mainly includes the input quantity of water, electricity, feed and other energy substances, as well as the quantity of wastewater discharged in the breeding process and the quality inspection of wastewater, etc. The information from the transportation of adult shrimp to the market stage mainly includes the transportation mode, transportation weight, transportation distance, transportation destination and energy consumption during transportation. The information in the stage of infrastructure waste disposal mainly includes the transportation destination, transportation mode, transportation weight, transportation distance, and energy consumption generated by the transportation process of waste.The basic assumptions of the literature in LCA analysis are as follows: the transportation mode of shrimp fry is air transportation; Fuel consumption is calculated according to gasoline for land transport and jet fuel for air transport; The electric energy consumed in the life cycle comes from the residential power output of the state grid. Aquaculture water is groundwater by default. | ||||
Deviation from data treatment and extrapolations principles / explanations | None | ||||
Data source(s) used for this data set | |||||
Sampling procedure | There are two main sources of data in this paper. There are two main sources of data in this paper. First, it comes from field research. In June and November 2019, it was conducted at the fixed observation point in Taoluo Town, Rizhao City, Shandong Province. Most of the input and output data of the breeding industry came from the questionnaire survey of the heads of breeding plants and feed processing plants, and the water quality monitoring data were taken from the fixed monitoring point of the local Institute of Marine and Fishery. The data on the transportation of adult shrimp to the market were obtained from the survey of Rizhao aquatic product wholesale market and the head of the breeding farm. The second is from the database of life cycle assessment software Simapro. The first is from field research, which was conducted at fixed observation points in Taoluo Town, Rizhao City, Shandong Province in June and November 2019. Most of the input and output data of the breeding industry come from the questionnaire survey of the heads of breeding plants and feed processing plants. The water quality monitoring data were obtained from the fixed monitoring points of the local Marine and fishery Research Institute, and the data of the transportation of adult shrimp to the market were obtained from the survey of the directors of the fishery products wholesale market and aquaculture farms in Rizhao City. The second is the database derived from the life cycle assessment software Simapro | ||||
Completeness | |||||
Completeness of product model | No statement | ||||
???common.completenessOtherProblemField??? | The input data included five stages of farm infrastructure construction, shrimp fry transportation, adult shrimp cultivation, adult shrimp transportation to market, and infrastructure waste disposal in the South American white shrimp farming industry chain. Construction of shrimp hatchery, infrastructure construction of aquaculture farms, shrimp seedling cultivation process, shrimp seedling transportation, shrimp cultivation, shrimp transportation to the market, shrimp shell recovery and infrastructure waste disposal of aquaculture plants, etc. However, since the shrimp seedling cultivation process is mostly located in Hainan Province, our research group has little contact with these shrimp seedling cultivation farms, and there is no relevant real and reliable data source. Therefore, the carbon emissions generated by the construction of shrimp hatchery and shrimp seedling cultivation process are not within the scope of this study; At the same time, the recovery rate of shrimp shell in our country is not high enough, the recovery situation of shrimp shell is not the same all over the country, and it is difficult to obtain first-hand data. At present, there are no cases and data of the recovery stage of shrimp shell for reference, so the carbon emissions of the recovery process of shrimp shell are not included in the calculation of carbon emissions of the South American white shrimp industry chain. In addition, after the abandonment of the farm, its managers generally choose to sell the recyclable waste to the waste recycling center, and the non-recyclable waste is directly abandoned. We do not know how the waste recycling center chooses to deal with these wastes, and the actual situation is difficult to grasp. Therefore, in this stage, the carbon emissions generated by the transportation of wastes from the site of the factory to the waste recycling center are only considered in the quantification of carbon emissions. | ||||
Validation | |||||
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Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2024-05-09T00:37:46+08:00 |
Publication and ownership | |
UUID | 987bf91c-634a-4c64-92fb-f83919053d26 |
Date of last revision | 2024-05-13T15:04:05.366828+08:00 |
Data set version | 01.00.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=987bf91c-634a-4c64-92fb-f83919053d26&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 | Materials production / Other mineralic materials | 42.354 kg | 42.354 kg | ||||||
Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 53.0 kg | 53.0 kg | ||||||
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Product flow | Materials production / Plastics | 14.6 kg | 14.6 kg | ||||||
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Product flow | Transport services / Other transport | 207.064 kg | 207.064 kg | ||||||
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Elementary flow | Resources / Resources from water / Renewable material resources from water | 8470590.0 m3 | 8470590.0 m3 | ||||||
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Product flow | Energy carriers and technologies / Electricity | 60504.228 MJ | 60504.228 MJ | ||||||
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Product flow | Energy carriers and technologies / Crude oil based fuels | 9.76 kg | 9.76 kg | ||||||
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Product flow | Materials production / Food and renewable raw materials | 411.765 kg | 411.765 kg | ||||||
Product flow | Materials production / Food and renewable raw materials | 288.2355 kg | 288.2355 kg | ||||||
Product flow | Materials production / Food and renewable raw materials | 222.3531 kg | 222.3531 kg | ||||||
Product flow | Materials production / Food and renewable raw materials | 24.7059 kg | 24.7059 kg | ||||||
Product flow | Materials production / Food and renewable raw materials | 378.8238 kg | 378.8238 kg | ||||||
Product flow | Materials production / Other mineralic materials | 49.4118 kg | 49.4118 kg | ||||||
Product flow | Materials production / Inorganic chemicals | 5.7647 kg | 5.7647 kg | ||||||
Product flow | Materials production / Inorganic chemicals | 141.18 kg | 141.18 kg | ||||||
Product flow | Materials production / Agricultural production means | 117.65 kg | 117.65 kg | ||||||
Product flow | Materials production / Organic chemicals | 0.94 kg | 0.94 kg | ||||||
Product flow | Materials production / Organic chemicals | 2.35 kg | 2.35 kg |
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
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Product flow | End-of-life treatment / Waste water treatment | 8470590.0 kg | 8470590.0 kg | ||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.091788 kg | 0.091788 kg | ||||
Elementary flow | Emissions / Emissions to water / Emissions to fresh water | 0.17099 kg | 0.17099 kg | ||||
Elementary flow | Emissions / Emissions to water / Emissions to water, unspecified | 0.05497 kg | 0.05497 kg | ||||
Product flow | Emissions / Other substance type | 13.21783 kg | 13.21783 kg | ||||
Product flow | Materials production / Food and renewable raw materials | 1000.0 kg | 1000.0 kg |