首页|期刊导航|草业科学|基于IPCC Tier 1层级的甘肃省家畜CH4排放特征

基于IPCC Tier 1层级的甘肃省家畜CH4排放特征OA

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

中文摘要英文摘要

甲烷(CH4)作为全球气候变暖的三大主要温室气体之一,主要来源于人类的生产活动,其中农业生产已成为人为甲烷排放的主要来源,而农业生产中又以畜禽养殖为甲烷主要排放源.因此,分析和估算畜牧业甲烷排放量对控制温室气体排放及有针对性地制定减排措施、实现其绿色低碳发展具有重要意义.但目前关于畜牧业 CH4 排放的研究多集中于中部及沿海地区,而针对畜牧业大省甘肃省的 CH4 排放量分析估测较为匮乏.本研究采用 IPCC Tier 1方法,基于甘肃省 14 个市(州)的畜牧业生产数据,估算了 2017-2021 年甘肃省家畜的 CH4 排放量,绘制了甘肃省家畜 CH4 排放格局及变化特征图,并采用灰色预测模型对未来 4 年甘肃省家畜的 CH4 排放量进行了预测.结果表明:2017-2021 年甘肃省家畜 CH4 排放量分别为 32.32 万、33.29 万、34.42 万、36.98 万和 39.92 万 t,呈逐年上升趋势;甘肃省家畜 CH4 排放主要集中在甘南藏族自治州、武威市以及张掖市等市(州);灰色预测模型分析表明,2024-2027 年甘肃省家畜 CH4 排放量分别为 48.10 万、51.37 万、54.89 万和 58.69 万 t,呈逐年上升趋势.本研究结果可为甘肃省畜牧业温室气体测算及绿色低碳养殖提供数据参考.

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.

焦娜;张俊松;丰王妹;陈宏福;杨具田;徐红伟;蔡勇;曹忻;郭鹏辉

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

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

animal husbandrygreenhouse gasesmethanegray prediction modelemission patternemission reduction measureslow-carbon farming

《草业科学》 2026 (4)

801-812,12

兰州市科技计划项目(2024JSCX0002)兰州市人才创新创业项目(2023-RC-47)西北民族大学中央高校基本科研业务费项目(31920230027)2023年甘肃省高校青年博士支持项目(2023QB-002)技术创新引导计划-科技特派员(基地)专项(23CXNA0045)甘肃省高校产业支撑计划项目(2023CYZC-08)中央高校基本科研业务费专项资金(31920250001)

10.11829/j.issn.1001-0629.2024-0559

评论