• 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

探究中国各省因贸易导致的与数量和质量相关的水资源短缺的驱动因素。

Exploring the drivers of quantity- and quality-related water scarcity due to trade for each province in China.

作者信息

Cai Beiming, Guo Mo

机构信息

Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng, 475001, China; Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng, 475001, China; Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), China.

The New Type Key Think Tank of Zhejiang Province "China Research Institute of Regulation and Public Policy", China Institute of Regulation Research, Zhejiang University of Finance & Economics, China.

出版信息

J Environ Manage. 2023 May 1;333:117423. doi: 10.1016/j.jenvman.2023.117423. Epub 2023 Feb 7.

DOI:10.1016/j.jenvman.2023.117423
PMID:36758404
Abstract

Previous studies have explored virtual water flows due to interprovincial trade within China as well as related impacts on both regional quantity- and quality-related water scarcity aspects. However, the driving forces behind changes in these impacts remain unknown, especially the quality-related water scarcity. Exploring these driving forces can provide targeted measures to mitigate the negative impact of trade on these two types of water scarcity issues. In this study, blue and grey water footprints have been calculated under the consideration of interregional trade between provinces within China and those attributed to international exports from 2007 to 2015. This calculation was based on multi-regional input output model (MRIO). Moreover, the drivers of changes in blue and grey water footprints due to trade have been explored through structural decomposition analysis. The results showed that blue and grey water footprint increased and then slightly decreased from 2007 to 2015 in China. At the same time, interregional trade made an increasing contribution to the blue and grey water footprint, and the proportion increased from 28.8% to 35.0% and from 22.4% to 28.6%, respectively, from 2007 to 2015. The roles of importers and exporters regarding the blue and grey water footprint driven by interprovincial trade within China have changed little, and the quantity- and quality-related water scarcity issues of the main exporters have been intensified by interprovincial trade. A reduction in the water footprint intensity yielded the largest contribution to curb the increase in blue and grey water footprint driven by interprovincial trade. Our study showed that an improvement in efficiency of water use from both quantity and quality perspectives is the key to accomplish sustainable water use in China, especially considering the impact of trade on regional quantity- and quality-related water scarcity issues.

摘要

以往的研究探讨了中国省际贸易产生的虚拟水流动及其对区域水量和水质相关水资源短缺问题的影响。然而,这些影响变化背后的驱动因素仍然未知,尤其是与水质相关的水资源短缺问题。探究这些驱动因素可以提供针对性措施,以减轻贸易对这两类水资源短缺问题的负面影响。在本研究中,基于多区域投入产出模型(MRIO),计算了2007年至2015年中国各省之间的区域贸易以及国际出口所产生的蓝水足迹和灰水足迹。此外,通过结构分解分析探究了贸易导致的蓝水足迹和灰水足迹变化的驱动因素。结果表明,2007年至2015年中国的蓝水足迹和灰水足迹先增加后略有下降。与此同时,区域贸易对蓝水足迹和灰水足迹的贡献不断增加,其占比分别从2007年的28.8%增至2015年的35.0%,以及从22.4%增至28.6%。在中国省际贸易驱动的蓝水足迹和灰水足迹方面,进口商和出口商的作用变化不大,且省际贸易加剧了主要出口省份的水量和水质相关水资源短缺问题。水足迹强度的降低对抑制省际贸易驱动的蓝水足迹和灰水足迹增加贡献最大。我们的研究表明,从水量和水质角度提高用水效率是中国实现可持续用水的关键,特别是考虑到贸易对区域水量和水质相关水资源短缺问题的影响。

相似文献

1
Exploring the drivers of quantity- and quality-related water scarcity due to trade for each province in China.探究中国各省因贸易导致的与数量和质量相关的水资源短缺的驱动因素。
J Environ Manage. 2023 May 1;333:117423. doi: 10.1016/j.jenvman.2023.117423. Epub 2023 Feb 7.
2
Worse than imagined: Unidentified virtual water flows in China.比想象中更糟:中国未识别的虚拟水流动情况。
J Environ Manage. 2017 Jul 1;196:681-691. doi: 10.1016/j.jenvman.2017.03.062. Epub 2017 Mar 31.
3
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.
4
Tracking indirect water footprints, virtual water flows, and burden shifts related to inputs and supply chains for croplands: A case for maize in China.追踪与耕地投入和供应链相关的间接水足迹、虚拟水流动和负担转移:以中国玉米为例。
J Environ Manage. 2023 Sep 15;342:118347. doi: 10.1016/j.jenvman.2023.118347. Epub 2023 Jun 13.
5
Quality matters: Pollution exacerbates water scarcity and sectoral output risks in China.质量很重要:污染加剧了中国的水资源短缺和部门产出风险。
Water Res. 2022 Oct 1;224:119059. doi: 10.1016/j.watres.2022.119059. Epub 2022 Sep 6.
6
Water footprint of nations amplified by scarcity in the Belt and Road Initiative.“一带一路”倡议中水资源短缺加剧了各国的水足迹。
Heliyon. 2023 Jan 14;9(1):e12957. doi: 10.1016/j.heliyon.2023.e12957. eCollection 2023 Jan.
7
Spillover risk analysis of virtual water trade based on multi-regional input-output model -A case study.基于多区域投入产出模型的虚拟水贸易溢出风险分析——以案例研究。
J Environ Manage. 2020 Dec 1;275:111242. doi: 10.1016/j.jenvman.2020.111242. Epub 2020 Aug 26.
8
Exploring solutions to alleviate the regional water stress from virtual water flows in China.探讨缓解中国虚拟水流动引起的区域性水资源压力的解决方案。
Sci Total Environ. 2021 Nov 20;796:148971. doi: 10.1016/j.scitotenv.2021.148971. Epub 2021 Jul 16.
9
The "Gravity" for global virtual water flows: From quantity and quality perspectives.从数量和质量角度看全球虚拟水流动的“重力”。
J Environ Manage. 2023 Mar 1;329:116984. doi: 10.1016/j.jenvman.2022.116984. Epub 2022 Dec 21.
10
Interprovincial food trade and water resources conservation in China.中国的省际食品贸易与水资源保护
Sci Total Environ. 2020 Oct 1;737:139651. doi: 10.1016/j.scitotenv.2020.139651. Epub 2020 May 27.

引用本文的文献

1
High-frequency sectoral carbon and environmental analysis based on monthly input-output tables compilation during 2018-2021.基于2018 - 2021年每月投入产出表编制的高频部门碳与环境分析
iScience. 2023 Sep 30;26(11):108045. doi: 10.1016/j.isci.2023.108045. eCollection 2023 Nov 17.