Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Improving grey water footprint assessment: Accounting for uncertainty |
| Abstract | The grey water footprint (GWF) refers to the amount of freshwater required to dilute pollutants to meet water-quality 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 t ) was higher than that for dissolved inorganic nitrogen (DIN) (275 m t ), 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. |
| Source | Ecological indicators 102, pp. 822–833 |
| Keywords | Grey waternitrogen and phosphorus exportSWAT modelUncertainty analysiswater pollution level |
| Journal | Ecological indicators |
| Editor | Elsevier Science Ireland., Shannon, Paesi Bassi |
| Year | 2019 |
| Type | Articolo in rivista |
| DOI | 10.1016/j.ecolind.2019.03.040 |
| Authors | De Girolamo A.M.; Miscioscia P.; Politi T.; Barca E. |
| Text | 420668 2019 10.1016/j.ecolind.2019.03.040 Scopus 2 s2.0 85063464102 ISI Web of Science WOS WOS 000470964500082 Grey water nitrogen and phosphorus export SWAT model Uncertainty analysis water pollution level Improving grey water footprint assessment Accounting for uncertainty De Girolamo A.M.; Miscioscia P.; Politi T.; Barca E. Water Research Institute, National Research Council, Bari, , , Italy; Water Research Institute, National Research Council, Bari, , , Italy; Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, , , Italy; Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, , , Italy The grey water footprint GWF refers to the amount of freshwater required to dilute pollutants to meet water quality 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 t was higher than that for dissolved inorganic nitrogen DIN 275 m t , 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. 102 Published version http //www.scopus.com/record/display.url eid=2 s2.0 85063464102 origin=inward Improving grey water footprint assessment Accounting for uncertainty 02.pdf Articolo in rivista Elsevier Science Ireland. 1470 160X Ecological indicators Ecological indicators Ecological indicators. annamaria.degirolamo DE GIROLAMO ANNA MARIA emanuele.barca BARCA EMANUELE TA.P04.005.006 Gestione a scala di bacino delle risorse idriche e sostenibilita dell uso irriguo in agricoltura |