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基于IPCC Tier 1层级的甘肃省家畜CH4排放特征

焦娜 张俊松 丰王妹 陈宏福 杨具田 徐红伟 蔡勇 曹忻 郭鹏辉

草业科学2026,Vol.43Issue(4):801-812,12.
草业科学2026,Vol.43Issue(4):801-812,12.DOI:10.11829/j.issn.1001-0629.2024-0559

基于IPCC Tier 1层级的甘肃省家畜CH4排放特征

Characteristics of methane emissions from livestock in Gansu Province based on IPCC Tier 1 hierarchy

焦娜 1张俊松 1丰王妹 1陈宏福 1杨具田 1徐红伟 1蔡勇 1曹忻 1郭鹏辉1

作者信息

  • 1. 西北民族大学生命科学与工程学院,甘肃 兰州 730030
  • 折叠

摘要

Abstract

As one of three major greenhouse gases contributing to global warming,methane(CH4)is primarily derived from anthropogenic production activity.Agricultural production(livestock and poultry breeding)has become the primary source of anthropogenic CH4 emissions.Therefore,it is important to analyze and estimate CH4 emissions from animal husbandry to control greenhouse gas emissions,formulate emission reduction measures,and realize green and low-carbon development.However,currently,most studies on CH4 emissions from animal husbandry focus on central and coastal areas,whereas the analysis and estimation of CH4 emissions in Gansu Province,a major animal husbandry province,are scarce.In this study,based on the livestock production data of 14 cities and prefectures in Gansu Province,the IPCC Tier 1 method was used to estimate livestock CH4 emissions from 2017 to 2021.The pattern and change characteristics of livestock CH4 emissions in Gansu Province were analyzed,and the gray prediction model was used to predict livestock CH4 emissions in Gansu Province over the next four years.The results showed that livestock CH4 emissions in Gansu Province from 2017 to 2021 were 323 200,332 900,344 200,369 800 and 399 200 t,respectively,showing an annual increasing trend.The livestock CH4 emissions in Gansu Province are primarily concentrated in cities and prefectures,such as the Gannan Tibetan Autonomous Prefecture,and Wuwei and Zhangye Cities.Analysis of the gray prediction model showed that livestock CH4 emissions in Gansu Province from 2024 to 2027 were 481 000,513 700,548 900 and 586 900 t,respectively,showing an annual increasing trend.The results of this study can provide a reference for greenhouse gas estimation and green and low-carbon farming in Gansu Province.

关键词

畜牧业/温室气体/甲烷/灰色预测模型/排放格局/减排措施/低碳养殖

Key words

animal husbandry/greenhouse gases/methane/gray prediction model/emission pattern/emission reduction measures/low-carbon farming

引用本文复制引用

焦娜,张俊松,丰王妹,陈宏福,杨具田,徐红伟,蔡勇,曹忻,郭鹏辉..基于IPCC Tier 1层级的甘肃省家畜CH4排放特征[J].草业科学,2026,43(4):801-812,12.

基金项目

兰州市科技计划项目(2024JSCX0002) (2024JSCX0002)

兰州市人才创新创业项目(2023-RC-47) (2023-RC-47)

西北民族大学中央高校基本科研业务费项目(31920230027) (31920230027)

2023年甘肃省高校青年博士支持项目(2023QB-002) (2023QB-002)

技术创新引导计划-科技特派员(基地)专项(23CXNA0045) (基地)

甘肃省高校产业支撑计划项目(2023CYZC-08) (2023CYZC-08)

中央高校基本科研业务费专项资金(31920250001) (31920250001)

草业科学

1001-0629

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