• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

绘制中国受食物需求驱动的水体流动在供应链各环节的空间分布路径图。

Mapping spatial supply chain paths for embodied water flows driven by food demand in China.

机构信息

School of Environment, Beijing Normal University, Beijing 100875, People's Republic of China.

Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, People's Republic of China; Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.

出版信息

Sci Total Environ. 2021 Sep 10;786:147480. doi: 10.1016/j.scitotenv.2021.147480. Epub 2021 May 3.

DOI:10.1016/j.scitotenv.2021.147480
PMID:33965816
Abstract

Identifying critical spatial supply chain paths for embodied water flows driven by food demand can guide the development of more spatially explicit food-related policies for water savings. Previous studies have quantified water uses caused by food demand, but overlook intermediate transfer paths within and among regions. That is, spatial supply chain paths describing step-by-step transfer stages between water uses and final food demand have not been well characterized. Based on the multi-regional input-output model and structural path analysis, this study exhaustively identifies critical spatial supply chain paths for provincial water withdrawals driven by final food demand in China. Results show that the final demand of food products from critical sectors (e.g., agricultural products processing, rice, and swine) and regions (e.g., Xinjiang, Heilongjiang, and Guangdong) drives large amounts of water withdrawals. Critical supply chain paths indicate that agricultural products processing, food manufacturing, and catering should pay special attention to increasing the use efficiency of rice, poultry, cotton, water, and gas products, which can effectively reduce national water withdrawals. The interregional paths further provide evidence for interregional cooperation to save food-related water resources, such as the transfer of capital and technologies from agricultural products processing in Shandong to cotton production in Xinjiang and rice production in Heilongjiang. These critical supply chain paths provide spatially explicit and targeted hotspots for demand-side policies. They can also serve for the evaluation of measures in each stage of the supply chain paths.

摘要

识别受食物需求驱动的隐含水流动的关键空间供应链路径,可以为节约水资源的更具空间针对性的食品相关政策制定提供指导。以往的研究已经量化了由食物需求引起的用水量,但忽略了区域内和区域之间的中间转移路径。也就是说,描述水的使用和最终食物需求之间逐步转移阶段的空间供应链路径尚未得到很好的描述。本研究基于多区域投入产出模型和结构路径分析,详尽地确定了中国受最终食物需求驱动的省级水资源提取的关键空间供应链路径。结果表明,来自关键部门(如农产品加工、大米和生猪)和地区(如新疆、黑龙江和广东)的食品产品的最终需求导致了大量的水资源提取。关键供应链路径表明,农产品加工、食品制造和餐饮应特别注意提高大米、家禽、棉花、水和天然气产品的使用效率,这可以有效地减少全国的水资源提取量。区域间路径进一步为节约与食物相关的水资源的区域间合作提供了证据,例如将资本和技术从山东的农产品加工转移到新疆的棉花生产和黑龙江的水稻生产。这些关键供应链路径为需求侧政策提供了具有空间针对性的热点。它们还可以用于评估供应链路径各个阶段的措施。

相似文献

1
Mapping spatial supply chain paths for embodied water flows driven by food demand in China.绘制中国受食物需求驱动的水体流动在供应链各环节的空间分布路径图。
Sci Total Environ. 2021 Sep 10;786:147480. doi: 10.1016/j.scitotenv.2021.147480. Epub 2021 May 3.
2
Managing the water-energy-food nexus in China by adjusting critical final demands and supply chains: An input-output analysis.通过调整关键最终需求和供应链来管理中国的水-能源-粮食关系:投入产出分析。
Sci Total Environ. 2020 Jun 10;720:137635. doi: 10.1016/j.scitotenv.2020.137635. Epub 2020 Feb 29.
3
Quantifying Direct and Indirect Spatial Food-Energy-Water (FEW) Nexus in China.量化中国直接和间接的食物-能源-水(FEW)关联。
Environ Sci Technol. 2020 Aug 18;54(16):9791-9803. doi: 10.1021/acs.est.9b06548. Epub 2020 Aug 4.
4
Uneven development within China: Implications for interprovincial energy, water and arable land requirements.中国的发展不平衡:对省际间能源、水和耕地需求的影响。
J Environ Manage. 2020 May 1;261:110231. doi: 10.1016/j.jenvman.2020.110231. Epub 2020 Mar 2.
5
What Induces the Energy-Water Nexus in China's Supply Chains?是什么在中国供应链中引发了能源-水纽带?
Environ Sci Technol. 2020 Jan 7;54(1):372-379. doi: 10.1021/acs.est.9b04277. Epub 2019 Dec 20.
6
The temporal variation of CH emissions embodied in Chinese supply chains, 2000-2020.2000 - 2020年中国供应链中CH排放的时间变化。
Sci Rep. 2024 May 29;14(1):12379. doi: 10.1038/s41598-024-62979-z.
7
Multiregional input-output model for China's farm land and water use.中国农田和水资源的多区域投入产出模型。
Environ Sci Technol. 2015 Jan 6;49(1):403-14. doi: 10.1021/es503637f. Epub 2014 Dec 18.
8
How the manufacturing economy impacts China's energy-related GHG emissions: Insights from structural path analysis.制造业经济如何影响中国与能源相关的温室气体排放:结构路径分析的观点。
Sci Total Environ. 2020 Nov 15;743:140769. doi: 10.1016/j.scitotenv.2020.140769. Epub 2020 Jul 6.
9
Pollution exacerbates interregional flows of virtual scarce water driven by energy demand in China.污染加剧了中国能源需求驱动的虚拟稀缺水资源的跨区域流动。
Water Res. 2022 Sep 1;223:118980. doi: 10.1016/j.watres.2022.118980. Epub 2022 Aug 13.
10
Global spatio-temporal change assessment in interregional water stress footprint in China by a high resolution MRIO model.基于高分辨率多区域投入产出模型的中国区域间水胁迫足迹的全球时空变化评估。
Sci Total Environ. 2022 Oct 1;841:156682. doi: 10.1016/j.scitotenv.2022.156682. Epub 2022 Jun 13.