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      Identification of key sectors of water resource utilization in China from the perspective of water footprint

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      PLoS ONE
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          Abstract

          We identified the key sectors of water resource use in China from the perspective of the water footprint to improve the use of water resources. The empirical results showed that there were six key sectors (including Crop Cultivation; Forestry; Livestock and Livestock Products; Fishery, Technical Services for Agriculture, Forestry, Livestock and Fishing; Other Food Products, and Scrap and Waste) for water consumption in China in 2015.We analyzed the use of green water, blue water, and grey water. These six sectors accounted for 66.15% of the total impact and 90.76% of the direct impact. Seven key sectors (the six sectors above plus Steel Processing)for the consumption of blue water in China can explain 59.70% of the total impact and 86.94% of the direct effect in 2015. Eight key sectors (Crop cultivation, Other food products, Scrap and Waste, Railway Freight Transport, Highway Freight and Passengers Transport, Water Freight and Passengers Transport, Pipeline Transport, and Health Services) responsible for the consumption of grey water in China in 2015 can explain 81.28% of the total impact and 95.73% of the direct impact. Therefore, the Chinese government should focus on the departments that manage water resources in these sectors when designing water-saving policies and improving water-use efficiency, such as promoting water-saving irrigation technology (including sprinkler irrigation and drip irrigation) in the agricultural sector.

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          Most cited references36

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          BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION

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            Mapping the structure of the world economy.

            We have developed a new series of environmentally extended multi-region input-output (MRIO) tables with applications in carbon, water, and ecological footprinting, and Life-Cycle Assessment, as well as trend and key driver analyses. Such applications have recently been at the forefront of global policy debates, such as about assigning responsibility for emissions embodied in internationally traded products. The new time series was constructed using advanced parallelized supercomputing resources, and significantly advances the previous state of art because of four innovations. First, it is available as a continuous 20-year time series of MRIO tables. Second, it distinguishes 187 individual countries comprising more than 15,000 industry sectors, and hence offers unsurpassed detail. Third, it provides information just 1-3 years delayed therefore significantly improving timeliness. Fourth, it presents MRIO elements with accompanying standard deviations in order to allow users to understand the reliability of data. These advances will lead to material improvements in the capability of applications that rely on input-output tables. The timeliness of information means that analyses are more relevant to current policy questions. The continuity of the time series enables the robust identification of key trends and drivers of global environmental change. The high country and sector detail drastically improves the resolution of Life-Cycle Assessments. Finally, the availability of information on uncertainty allows policy-makers to quantitatively judge the level of confidence that can be placed in the results of analyses.
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              Global Monthly Water Scarcity: Blue Water Footprints versus Blue Water Availability

              Freshwater scarcity is a growing concern, placing considerable importance on the accuracy of indicators used to characterize and map water scarcity worldwide. We improve upon past efforts by using estimates of blue water footprints (consumptive use of ground- and surface water flows) rather than water withdrawals, accounting for the flows needed to sustain critical ecological functions and by considering monthly rather than annual values. We analyzed 405 river basins for the period 1996–2005. In 201 basins with 2.67 billion inhabitants there was severe water scarcity during at least one month of the year. The ecological and economic consequences of increasing degrees of water scarcity – as evidenced by the Rio Grande (Rio Bravo), Indus, and Murray-Darling River Basins – can include complete desiccation during dry seasons, decimation of aquatic biodiversity, and substantial economic disruption.
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                Author and article information

                Contributors
                Role: Writing – original draft
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Data curation
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 June 2020
                2020
                : 15
                : 6
                : e0234307
                Affiliations
                [1 ] School of Statistics, Lanzhou University of Finance and Economics, Lanzhou, PR China
                [2 ] China Center for Special Economic Zone Research, Shenzhen University, Shenzhen, PR China
                School of Economics, Xiamen University, China, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4773-7670
                Article
                PONE-D-19-27097
                10.1371/journal.pone.0234307
                7307777
                32569328
                b1453447-93df-442c-bfd7-7db52bc3b6ef
                © 2020 Deng et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 September 2019
                : 22 May 2020
                Page count
                Figures: 2, Tables: 9, Pages: 18
                Funding
                Funded by: Ministry of Education for the Humanities and Social Sciences Research Young Fund on the West and Borderland Project
                Award ID: 17XJC790002
                Award Recipient :
                Funded by: Guangdong Provincial Natural Science Foundation of China under Grant
                Award ID: 2017A030313443
                Award Recipient :
                Funded by: Program of Lanzhou University of Finance and Economics under Grant
                Award ID: Lzufe2018B-06
                Award Recipient :
                Funded by: Natural Science Foundation of China under Grant
                Award ID: 71704070
                Award Recipient :
                This work was supported by the Natural Science Foundation of China under Grant [number 71704070]; Ministry of Education for the Humanities and Social Sciences Research Young Fund on the West and Borderland Project [number 17XJC790002]; Guangdong Provincial Natural Science Foundation of China under Grant [number 2017A030313443];and Program of Lanzhou University of Finance and Economics under Grant [number Lzufe2018B-06].
                Categories
                Research Article
                Ecology and Environmental Sciences
                Natural Resources
                Water Resources
                Ecology and Environmental Sciences
                Pollution
                Water Pollution
                Biology and Life Sciences
                Agriculture
                Livestock
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Biology and Life Sciences
                Agriculture
                Forestry
                Biology and Life Sciences
                Agriculture
                Social Sciences
                Economics
                Earth Sciences
                Hydrology
                Surface Water
                Custom metadata
                Other researchers may freely access the EORA National IO Tables (Chinese IO Tables) from The Eora Global Supply Chain Database at https://www.worldmrio.com/. Users must first register for an account to access the tables. Additional questions or access requests may be sent to info@ 123456worldmrio.com .

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