• 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

全球灌溉取水量估算的虚幻准确性。

The delusive accuracy of global irrigation water withdrawal estimates.

机构信息

Department of Ecology and Evolutionary Biology, Princeton University, M31 Guyot Hall, Princeton, NJ, 08544, USA.

Centre for the Study of the Sciences and the Humanities (SVT), University of Bergen, Parkveien 9, PB 7805, 5020, Bergen, Norway.

出版信息

Nat Commun. 2022 Jun 8;13(1):3183. doi: 10.1038/s41467-022-30731-8.

DOI:10.1038/s41467-022-30731-8
PMID:35676249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9177853/
Abstract

Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of freshwater in the world, jeopardizes sustainable water management. Hydrological models quantify water withdrawals, but their estimates are unduly precise. Model imperfections need to be appreciated to avoid policy misjudgements.

摘要

世界上最大的淡水消费户——农业,在计算灌溉用水量时出现了失误,这对可持续水资源管理构成了威胁。水文模型可以量化用水量,但它们的估计往往过于精确。为了避免政策误判,需要认识到模型的不完善。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3ac/9177853/e70f1944182e/41467_2022_30731_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3ac/9177853/e70f1944182e/41467_2022_30731_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3ac/9177853/e70f1944182e/41467_2022_30731_Fig1_HTML.jpg

相似文献

1
The delusive accuracy of global irrigation water withdrawal estimates.全球灌溉取水量估算的虚幻准确性。
Nat Commun. 2022 Jun 8;13(1):3183. doi: 10.1038/s41467-022-30731-8.
2
ERA5-based global assessment of irrigation requirement and validation.基于 ERA5 的全球灌溉需求评估与验证。
PLoS One. 2021 Apr 30;16(4):e0250979. doi: 10.1371/journal.pone.0250979. eCollection 2021.
3
Modeling the local biodiversity impacts of agricultural water use: case study of a wetland in the coastal arid area of Peru.农业用水对当地生物多样性影响的建模研究:以秘鲁沿海干旱地区湿地为例。
Environ Sci Technol. 2012 May 1;46(9):4966-74. doi: 10.1021/es204155g. Epub 2012 Apr 11.
4
Irrigation water intensity and climate variability: an agricultural crops analysis of Italian regions.灌溉水强度与气候变化:对意大利地区农业作物的分析。
Environ Sci Pollut Res Int. 2021 Dec;28(45):63794-63814. doi: 10.1007/s11356-020-12136-6. Epub 2021 Jan 4.
5
Effects of deficit irrigation on cotton growth and water use efficiency: A review.亏缺灌溉对棉花生长和水分利用效率的影响:综述。
Ying Yong Sheng Tai Xue Bao. 2021 Mar;32(3):1112-1118. doi: 10.13287/j.1001-9332.202103.026.
6
Current status of recycled water for agricultural irrigation in Australia, potential opportunities and areas of emerging concern.澳大利亚农业灌溉再生水的现状、潜在机遇和新出现的关注领域。
Sci Total Environ. 2022 Feb 10;807(Pt 2):151676. doi: 10.1016/j.scitotenv.2021.151676. Epub 2021 Nov 16.
7
Effect of irrigation amount and fertilization on agriculture non-point source pollution in the paddy field.灌水量和施肥对稻田农业面源污染的影响。
Environ Sci Pollut Res Int. 2019 Apr;26(10):10363-10373. doi: 10.1007/s11356-019-04375-z. Epub 2019 Feb 14.
8
Increasing water productivity on Vertisols: implications for environmental sustainability.提高湿变性土壤的水分生产力:对环境可持续性的影响。
J Sci Food Agric. 2010 Oct;90(13):2276-81. doi: 10.1002/jsfa.4082.
9
Unravelling resources use efficiency and its drivers for water transfer and grain production processes in pumping irrigation system.解析机井提水灌溉系统中水资源利用效率及其驱动因素与粮食生产过程
Sci Total Environ. 2022 Apr 20;818:151810. doi: 10.1016/j.scitotenv.2021.151810. Epub 2021 Nov 20.
10
CO and NO Emissions from Spring Maize Soil under Alternate Irrigation between Saline Water and Groundwater in Hetao Irrigation District of Inner Mongolia, China.中国内蒙古河套灌区咸水和地下水交替灌溉春玉米土壤中的 CO 和 NO 排放。
Int J Environ Res Public Health. 2019 Jul 25;16(15):2669. doi: 10.3390/ijerph16152669.

引用本文的文献

1
ECIRA - European crop-specific irrigated area at 1 km resolution annually from 2010 to 2020.欧洲特定作物灌溉面积,2010年至2020年每年分辨率为1公里。
Sci Data. 2025 Aug 4;12(1):1349. doi: 10.1038/s41597-025-05628-y.
2
A High-Resolution Gridded Dataset for China's Monthly Sectoral Water Use.中国月度部门用水情况的高分辨率网格化数据集。
Sci Data. 2025 Jul 7;12(1):1157. doi: 10.1038/s41597-025-05400-2.
3
Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims.社会环境建模在数值声称方面显示出类似物理学的置信度,其中水模型的置信度超过了它。

本文引用的文献

1
Irrigated areas drive irrigation water withdrawals.灌溉区推动灌溉用水的抽取。
Nat Commun. 2021 Jul 26;12(1):4525. doi: 10.1038/s41467-021-24508-8.
2
Five ways to ensure that models serve society: a manifesto.确保模型服务于社会的五种方式:一份宣言。
Nature. 2020 Jun;582(7813):482-484. doi: 10.1038/d41586-020-01812-9.
iScience. 2025 Mar 13;28(4):112184. doi: 10.1016/j.isci.2025.112184. eCollection 2025 Apr 18.
4
Agriculture's impact on water-energy balance varies across climates.农业对水-能量平衡的影响因气候而异。
Proc Natl Acad Sci U S A. 2025 Mar 25;122(12):e2410521122. doi: 10.1073/pnas.2410521122. Epub 2025 Mar 17.
5
Indicator metrics and temporal aggregations introduce ambiguities in water scarcity estimates.指标度量和时间聚合在水资源短缺估计中引入了模糊性。
Sci Rep. 2024 Jul 2;14(1):15182. doi: 10.1038/s41598-024-65155-5.
6
Field-scale crop water consumption estimates reveal potential water savings in California agriculture.田间尺度的作物耗水量估计揭示了加州农业节水的潜力。
Nat Commun. 2024 Mar 25;15(1):2366. doi: 10.1038/s41467-024-46031-2.
7
Global patterns and key drivers of stream nitrogen concentration: A machine learning approach.全球溪流氮浓度的格局和关键驱动因素:一种机器学习方法。
Sci Total Environ. 2023 Apr 10;868:161623. doi: 10.1016/j.scitotenv.2023.161623. Epub 2023 Jan 16.
8
Models with higher effective dimensions tend to produce more uncertain estimates.具有更高有效维度的模型往往会产生更不确定的估计。
Sci Adv. 2022 Oct 21;8(42):eabn9450. doi: 10.1126/sciadv.abn9450. Epub 2022 Oct 19.
9
Spatiotemporal variation in irrigation water requirements in the China-Pakistan Economic Corridor.中巴经济走廊地区灌溉需水量的时空变化。
Sci Rep. 2022 Oct 14;12(1):17258. doi: 10.1038/s41598-022-21685-4.