LCA Assessment Data on the Carbon Emission Reduction Potential of Livestock and Poultry Manure Management in Ecologically Sensitive Areas: A Case Study of Danjiangkou City
Description
This dataset supports the academic research entitled “LCA-based assessment of carbon mitigation potential of livestock manure management in ecologically sensitive areas: A case study of Danjiangkou City”. The core research hypothesis is that implementing a county-wide promotion project for manure resource utilization in Danjiangkou City—a key water source area for the South-to-North Water Diversion Central Route—can achieve significant synergistic greenhouse gas emission reductions through technological upgrades across the entire “excretion, cleaning, storage, treatment, and utilization” chain. The dataset contains the complete inventory data and results for the Life Cycle Assessment (LCA), mainly include： Activity Level Data: Foundational inventory data for Danjiangkou City, including herd sizes, feeding days, live weights, and nitrogen excretion rates for swine, beef cattle, laying hens, and goats at both county and township levels (2023). Emission Factor Parameters: CH4 and N2O emission factors (both direct and indirect), calibrated based on the IPCC 2019 Guidelines, national/provincial inventory lists, and localized studies. Key Findings and Data Interpretation: Data analysis confirms that the project is projected to achieve an overall system-wide carbon emission reduction of 40.83%. The data clearly reveals that the choice of technology model is decisive: the Sedimentation-Crop Model shows the highest reduction rate (61.50%), primarily due to the synergistic effect of its closed-pipeline manure removal and biochemical cracking technology. In contrast, the Raised-Bedding Composting Model, which relies on front-end manual scraping, shows a lower reduction rate (27.70%), highlighting the limitations of single end-of-pipe upgrades in decentralized farming systems. Sensitivity analysis data identifies the CH4 emission factor as the primary source of uncertainty in the system’s reduction potential. Data Usage Instructions: Researchers can use this dataset to validate, reproduce, or extend related LCA models. The data can be directly applied to assess the carbon mitigation efficacy of livestock manure management technologies in similar ecologically sensitive areas (especially water source conservation zones) within subtropical and temperate regions of China, providing quantitative evidence for regional agricultural green development planning and “Dual Carbon” policy formulation. When applying the data, emission factors should be appropriately calibrated according to the specific geographical and climatic conditions of the case study.
Files
Steps to reproduce
Livestock baseline data from Danjiangkou City 2023 statistical survey. Emission factors are locally calibrated based on the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Provincial Greenhouse Gas Inventory Compilation Guidelines, and relevant research literature.
Institutions
- Hubei UniversityWuhan