机构地区:[1]Water&Development Research Group,Department of Built Environment,Aalto University,Espoo 15200,Finland [2]School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450046,China [3]School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,China [4]Department of Geographical Sciences,University of Maryland,College Park 20742,USA [5]School of Finance and Management,SOAS,University of London,London WC1H0XG,UK [6]Integrated Research on Energy,Environment and Society,Energy and Sustainability Research Institute Groningen,University of Groningen,Groningen 9747AG,the Netherlands [7]ETH Zurich,Institute of Environmental Engineering,Zurich 8093,Switzerland [8]The Bartlett School of Sustainable Construction,University College London,London WC1E6BT,UK [9]School of Business,Jiangnan University,Wuxi 214122,China [10]Department of Computer Science and Technology,University of Cambridge,Cambridge CB21TN,UK [11]w2e Environmental Consulting GmbH,Duebendorf 8600,Switzerland [12]Key Laboratory for Resource Use and Environmental Remediation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [13]College of Land Science and Technology,China Agricultural University,Beijing 100083,China [14]Institute of Blue and Green Development,Shandong University,Weihai 264209,China [15]Fudan Tyndall Center,Department of Environmental Science and Engineering,Fudan University,Shanghai 200438,China [16]School of Economics and Management,Beihang University,Beijing 100191,China [17]International Institute for Applied Systems Analysis,Laxenburg A-2361,Austria
出 处:《Science Bulletin》2024年第16期2632-2646,共15页科学通报(英文版)
基 金:supported by Aalto University and the Henan Provincial Key Laboratory of Hydrosphere and Watershed Water Security;Additional support was provided by the National Natural Science Foundation of China(42361144001,72304112,72074136,and 72104129);the Key Program of International Cooperation,Bureau of International Cooperation,the Chinese Academy of Sciences(131551KYSB20210030).
摘 要:Given that it was a once-in-a-century emergency event,the confinement measures related to the coronavirus disease 2019(COVID-19)pandemic caused diverse disruptions and changes in life and work patterns.These changes significantly affected water consumption both during and after the pandemic,with direct and indirect consequences on biodiversity.However,there has been a lack of holistic evaluation of these responses.Here,we propose a novel framework to study the impacts of this unique global emergency event by embedding an environmentally extended supply-constrained global multi-regional input-output model(MRIO)into the drivers-pressure-state-impact-response(DPSIR)framework.This framework allowed us to develop scenarios related to COVID-19 confinement measures to quantify country-sector-specific changes in freshwater consumption and the associated changes in biodiversity for the period of 2020-2025.The results suggest progressively diminishing impacts due to the implementation of COVID-19 vaccines and the socio-economic system’s self-adjustment to the new normal.In 2020,the confinement measures were estimated to decrease global water consumption by about 5.7% on average across all scenarios when compared with the baseline level with no confinement measures.Further,such a decrease is estimated to lead to a reduction of around 5% in the related pressure on biodiversity.Given the interdependencies and interactions across global supply chains,even those countries and sectors that were not directly affected by the COVID-19 shocks experienced significant impacts:Our results indicate that the supply chain propagations contributed to 79% of the total estimated decrease in water consumption and 84%of the reduction in biodiversity loss on average.Our study demonstrates that the MRIO-enhanced DSPIR framework can help quantify resource pressures and the resultant environmental impacts across supply chains when facing a global emergency event.Further,we recommend the development of more locally based water conservation measur
关 键 词:Global emergency events Water-biodiversity causal effect COVID-19 BIODIVERSITY MRIO-enhanced DPSIR framework Supply-chain network High-resolution water consumption dataset Supply-constrained multi-regional input-output(mixed MRIO)model
分 类 号:X176[环境科学与工程—环境科学] TV213.4[水利工程—水文学及水资源]
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