Environmental flow requirements largely reshape global surface water scarcity assessment
文献类型：期刊论文
| 作者 | Liu, Xingcai1,2 ; Liu, Wenfeng3; Liu, Liu3; Tang, Qiuhong2,4; Liu, Junguo5; Yang, Hong1,6
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| 刊名 | ENVIRONMENTAL RESEARCH LETTERS
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| 出版日期 | 2021-10-01 |
| 卷号 | 16期号:10页码:12 |
| 关键词 | water scarcity environmental flow hydrological modeling large-scale river ecosystem |
| ISSN号 | 1748-9326 |
| DOI | 10.1088/1748-9326/ac27cb |
| 通讯作者 | Liu, Xingcai(xingcailiu@igsnrr.ac.cn) ; Yang, Hong(hong.yang@eawag.ch) |
| 英文摘要 | The inclusion of environmental flow requirements (EFRs) in global water scarcity assessments is essential to obtain a reasonable representation of the water scarcity status. However, at a global scale, the quantification of EFRs is subject to large uncertainties resulting from various methods. So far, it is unclear to what extent the uncertainties in EFRs affect global water scarcity assessments. In this study, we examined the differences between EFR estimation methods and quantified their effects on spatially explicit water scarcity assessments, based on reconstructed global water withdrawal data and naturalized streamflow simulations. The global mean EFRs estimated by different methods ranged from 129 m(3) s(-1) to 572 m(3) s(-1). Consequently, with the fulfillment of the EFRs, the area under water scarcity ranged between 8% and 52% of the total global land area, and the affected population ranged between 28% and 60% of the total population. In India and Northern China, 44%-66% and 22%-58% of the country's land area, respectively, is affected by water scarcity; this percentage is higher than that found in other countries. The effects of different EFRs on water scarcity assessment are large in many regions, but relatively small in regions that experience intensive water use due to anthropological activities (such as Northern China and India). Through this study, we have put forth the need for the reconciliation of the estimates of EFRs to produce more reasonable and consistent water scarcity assessments. |
| WOS关键词 | HYDROLOGIC ALTERATION ; RIVER FLOW ; WITHDRAWALS ; GROUNDWATER ; AVAILABILITY ; DESALINATION ; FOOTPRINT ; DATASET ; CYCLES ; SCHEME |
| 资助项目 | National Natural Science Foundation of China[41625001] ; National Natural Science Foundation of China[41877164] ; Swiss National Science Foundation[200021_188686] ; National Key R&D Program of China[2019YFA0606903] ; Chinese Universities Scientific Fund[2021RC016] |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000704146700001 |
| 出版者 | IOP Publishing Ltd |
| 资助机构 | National Natural Science Foundation of China ; Swiss National Science Foundation ; National Key R&D Program of China ; Chinese Universities Scientific Fund |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165894]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Xingcai; Yang, Hong |
| 作者单位 | 1.Swiss Fed Inst Aquat Sci & Technol, Eawag, Ueberlandstr 133, CH-8600 Dubendorf, Switzerland 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, 11A Datun Rd, Beijing, Peoples R China 3.China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res China, Beijing 100083, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 5.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China 6.Univ Basel, Dept Environm Sci, MGU, Peterspl 1, CH-4003 Basel, Switzerland |
| 推荐引用方式 GB/T 7714 | Liu, Xingcai,Liu, Wenfeng,Liu, Liu,et al. Environmental flow requirements largely reshape global surface water scarcity assessment[J]. ENVIRONMENTAL RESEARCH LETTERS,2021,16(10):12. |
| APA | Liu, Xingcai,Liu, Wenfeng,Liu, Liu,Tang, Qiuhong,Liu, Junguo,&Yang, Hong.(2021).Environmental flow requirements largely reshape global surface water scarcity assessment.ENVIRONMENTAL RESEARCH LETTERS,16(10),12. |
| MLA | Liu, Xingcai,et al."Environmental flow requirements largely reshape global surface water scarcity assessment".ENVIRONMENTAL RESEARCH LETTERS 16.10(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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