globalchange  > 过去全球变化的重建
DOI: 10.1016/j.scitotenv.2019.03.127
WOS记录号: WOS:000464681800020
论文题名:
Understanding agricultural water footprint variability to improve water management in Chile
作者: Novoa, Vanessa1; Ahumada-Rudolph, Ramon2; Rojas, Octavio3; Saez, Katia5; de la Barrera, Francisco1; Luis Arumi, Jose4
通讯作者: Ahumada-Rudolph, Ramon
刊名: SCIENCE OF THE TOTAL ENVIRONMENT
ISSN: 0048-9697
EISSN: 1879-1026
出版年: 2019
卷: 670, 页码:188-199
语种: 英语
英文关键词: Water consumption ; Climate variability ; Water management ; Scarcity ; Basin
WOS关键词: CLIMATE-CHANGE ; SCARCITY ; CROPS ; CONSUMPTION ; IRRIGATION ; BASIN ; RIVER ; BLUE
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Understanding water consumption is crucial for sustainable management of water resources. Under climate change scenarios that project highly variable water availability, the need for public policies that assure efficiency and equity in water resources is increasing. This work analyzes the case of the Cachapoal River agricultural basin (34 degrees 571 degrees W), which presents temperature increases and a precipitation deficit, with a drought period that began more than eleven years ago having significantly decreased water availability. Water consumption in the basin for food production was determined from the agricultural water footprint (WFagricultural), using the green (WFgreen), blue (WFblue) and gray water footprint (WFgray) indicators, which were measured in the upper, middle and lower basin under conditions of climate variability (dry, wet and normal years). The greatest WFagricultural was established in the dry year, with a total of 18,221 m(3)t(-1), followed by 15,902 m(3)t(-1) in the wet year and 14,091 m(3)t(-1) in the normal year. Likewise, the greatest WFblue and WFgray, of 12,000 m(3)t(-1) and 4934 m(3)t(-5), respectively, were also observed in the dry year. The greatest WFgreen, 2000 m(3)t(-1), was calculated for a normal year. The 63% of agricultural area of the basin was covered by avocado (Persea americana), olive (Olea europaea), corn (Zea mays) and grape (Vitis sp) crops, which presented the greatest WFagricultural This water footprint data provides a quantitative basis for the assessment of water consumption and degradation, considering agricultural production and its multiple variables. The success of the application of these results lies in the use of indicators to understand change processes and complement future water allocation plans with more rational water management models. (C) 2019 Elsevier B.V. All rights reserved.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/140523
Appears in Collections:过去全球变化的重建

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作者单位: 1.Univ Concepcion, Sch Architecture Urbanism & Geog, Dept Geog, Victor Lamas 1290,POB 160-C, Concepcion, Chile
2.Univ Bio 5 Bo, Dept Ingn Maderas, Lab Bioproc & Biotratamientos, Culla 1202,POB 5-C, Concepcion, Chile
3.Univ Concepcion, EULA Ctr, Sch Environm Sci, Dept Spatial Planning, Victor Lamas 1290,POB 160-C, Concepcion, Chile
4.Univ Concepcion, CRHIAM, Sch Agr Engn, Dept Water Resources, Vicente Mendez 595, Chillan, Chile
5.Univ Concepcion, Sch Phys & Math Sci, Dept Stat, Victor Lamas 1290,POB 160-C, Concepcion, Chile

Recommended Citation:
Novoa, Vanessa,Ahumada-Rudolph, Ramon,Rojas, Octavio,et al. Understanding agricultural water footprint variability to improve water management in Chile[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019-01-01,670:188-199
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