基于土地利用活动数据的中国土地利用排放强度精细化清单

IF 11.2 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Zhenhao Liu , Chaoqing Chai , Haoyang Wang , Huadong Zhu , Wenhao Niu , Ronghao Wen , Weiwei Zheng , Xiangbin Kong , Han Zhang , Bangbang Zhang
{"title":"基于土地利用活动数据的中国土地利用排放强度精细化清单","authors":"Zhenhao Liu ,&nbsp;Chaoqing Chai ,&nbsp;Haoyang Wang ,&nbsp;Huadong Zhu ,&nbsp;Wenhao Niu ,&nbsp;Ronghao Wen ,&nbsp;Weiwei Zheng ,&nbsp;Xiangbin Kong ,&nbsp;Han Zhang ,&nbsp;Bangbang Zhang","doi":"10.1016/j.resconrec.2025.108442","DOIUrl":null,"url":null,"abstract":"<div><div>Current accounting of land use emission intensity (LUEI) based on specific land use activities is insufficient. This study develops a refined and spatially explicit LUEI inventory by integrating authoritative national land survey data and sophisticated land use activity data within an activity-based carbon accounting framework, alongside quantifying uncertainty using Monte Carlo simulation. The results demonstrated that from 2009 to 2021, the areas of construction land, planting garden, and forestland increased, while those of cropland, grassland, and water area decreased in China. Land use carbon emission (LUCE) consistently increased during this period, primarily driven by energy consumption. LUEI in China was estimated at 3.75 Mg C ha⁻¹, which exhibited an east-high and west-low pattern, with an uncertainty range from –21.31 % to +15.31 %. This study's LUEI accounting framework provides a transferable method foundation for international land carbon accounting, meanwhile its findings provide crucial data and scientific support for China's “dual carbon” targets.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"222 ","pages":"Article 108442"},"PeriodicalIF":11.2000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing a refined land use emission intensity inventory in China with land use activity-based data\",\"authors\":\"Zhenhao Liu ,&nbsp;Chaoqing Chai ,&nbsp;Haoyang Wang ,&nbsp;Huadong Zhu ,&nbsp;Wenhao Niu ,&nbsp;Ronghao Wen ,&nbsp;Weiwei Zheng ,&nbsp;Xiangbin Kong ,&nbsp;Han Zhang ,&nbsp;Bangbang Zhang\",\"doi\":\"10.1016/j.resconrec.2025.108442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Current accounting of land use emission intensity (LUEI) based on specific land use activities is insufficient. This study develops a refined and spatially explicit LUEI inventory by integrating authoritative national land survey data and sophisticated land use activity data within an activity-based carbon accounting framework, alongside quantifying uncertainty using Monte Carlo simulation. The results demonstrated that from 2009 to 2021, the areas of construction land, planting garden, and forestland increased, while those of cropland, grassland, and water area decreased in China. Land use carbon emission (LUCE) consistently increased during this period, primarily driven by energy consumption. LUEI in China was estimated at 3.75 Mg C ha⁻¹, which exhibited an east-high and west-low pattern, with an uncertainty range from –21.31 % to +15.31 %. This study's LUEI accounting framework provides a transferable method foundation for international land carbon accounting, meanwhile its findings provide crucial data and scientific support for China's “dual carbon” targets.</div></div>\",\"PeriodicalId\":21153,\"journal\":{\"name\":\"Resources Conservation and Recycling\",\"volume\":\"222 \",\"pages\":\"Article 108442\"},\"PeriodicalIF\":11.2000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources Conservation and Recycling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0921344925003209\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Conservation and Recycling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921344925003209","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

目前基于具体土地利用活动的土地利用排放强度(LUEI)核算存在不足。本研究通过在基于活动的碳核算框架内整合权威的国家土地调查数据和复杂的土地利用活动数据,并使用蒙特卡罗模拟对不确定性进行量化,开发了一个精细且空间明确的LUEI清单。结果表明:2009 - 2021年,中国建设用地、种植园地和林地面积增加,耕地、草地和水域面积减少;土地利用碳排放(LUCE)在此期间持续增加,主要受能源消耗的驱动。中国LUEI估计为3.75毫克C ha⁻¹,表现出一个是东部和西方低头模式,不确定性范围从-21.31%到15.31%。本研究的LUEI核算框架为国际土地碳核算提供了可转移的方法基础,同时为中国的“双碳”目标提供了重要的数据和科学支撑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a refined land use emission intensity inventory in China with land use activity-based data
Current accounting of land use emission intensity (LUEI) based on specific land use activities is insufficient. This study develops a refined and spatially explicit LUEI inventory by integrating authoritative national land survey data and sophisticated land use activity data within an activity-based carbon accounting framework, alongside quantifying uncertainty using Monte Carlo simulation. The results demonstrated that from 2009 to 2021, the areas of construction land, planting garden, and forestland increased, while those of cropland, grassland, and water area decreased in China. Land use carbon emission (LUCE) consistently increased during this period, primarily driven by energy consumption. LUEI in China was estimated at 3.75 Mg C ha⁻¹, which exhibited an east-high and west-low pattern, with an uncertainty range from –21.31 % to +15.31 %. This study's LUEI accounting framework provides a transferable method foundation for international land carbon accounting, meanwhile its findings provide crucial data and scientific support for China's “dual carbon” targets.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Resources Conservation and Recycling
Resources Conservation and Recycling 环境科学-工程:环境
CiteScore
22.90
自引率
6.10%
发文量
625
审稿时长
23 days
期刊介绍: The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns. Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信