globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.ecolind.2019.03.040
WOS记录号: WOS:000470964500082
论文题名:
Improving grey water footprint assessment: Accounting for uncertainty
作者: De Girolamo, Anna Maria1; Miscioscia, Pierluigi2; Politi, Tiziano2; Barca, Emanuele1
通讯作者: De Girolamo, Anna Maria
刊名: ECOLOGICAL INDICATORS
ISSN: 1470-160X
EISSN: 1872-7034
出版年: 2019
卷: 102, 页码:822-833
语种: 英语
英文关键词: Grey water ; Nitrogen and phosphorus export ; SWAT model ; Uncertainty analysis ; Water pollution level
WOS关键词: CLIMATE-CHANGE ; RIVER-BASIN ; ANTHROPOGENIC NITROGEN ; MANAGEMENT ; SWAT ; SCARCITY ; QUALITY ; IMPACT ; CROPS ; BLUE
WOS学科分类: Biodiversity Conservation ; Environmental Sciences
WOS研究方向: Biodiversity & Conservation ; Environmental Sciences & Ecology
英文摘要:

The grey water footprint (GWF) refers to the amount of freshwater required to dilute pollutants to meet waterquality standards. The aim of this paper was to estimate the GWF and its uncertainty for crop production at the basin scale. The proposed approach was tested in the Rio Mannu Basin (Sardinia, Italy) for durum wheat production. The fraction of nutrients flowing into the river and groundwater was evaluated using the Soil and Water Assessment Tool model that was calibrated with in-stream monitoring data. A bootstrap technique coupled with Monte Carlo simulations was used to estimate the uncertainty of the GWF due to the variability of the primary input data and the unknown natural background level of nutrients in the waters. The GWF for total phosphorus (TP) input (3284 m(3) t(-1)) was higher than that for dissolved inorganic nitrogen (DIN) (275 m(3) t(-1)), despite the lower rate of phosphorus fertiliser application. The uncertainty was found to be relevant for both DIN (60%) and TP (18%). The environmental sustainability of durum wheat production was assessed throughout the water pollution level. This showed that the TP load exceeded the assimilation capacity at the reach scale, and that further analyses are needed to assess the environmental sustainability at the basin scale.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142711
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.CNR, Water Res Inst, Bari, Italy
2.Polytech Univ Bari, Dept Elect & Informat Engn, Bari, Italy

Recommended Citation:
De Girolamo, Anna Maria,Miscioscia, Pierluigi,Politi, Tiziano,et al. Improving grey water footprint assessment: Accounting for uncertainty[J]. ECOLOGICAL INDICATORS,2019-01-01,102:822-833
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