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| Titel |
Assessment of alternative land management practices using hydrological simulation and a decision support tool: Arborea agricultural region, Sardinia |
| VerfasserIn |
P. Cau, C. Paniconi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 11, no. 6 ; Nr. 11, no. 6 (2007-11-23), S.1811-1823 |
| Datensatznummer |
250009544
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| Publikation (Nr.) |
 copernicus.org/hess-11-1811-2007.pdf |
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| Zusammenfassung |
| Quantifying the impact of land use on water supply and quality is a primary
focus of environmental management. In this work we apply a semidistributed
hydrological model (SWAT) to predict the impact of different land management
practices on water and agricultural chemical yield over a long period of
time for a study site situated in the Arborea region of central Sardinia,
Italy. The physical processes associated with water movement, crop growth,
and nutrient cycling are directly modeled by SWAT. The model simulations are
used to identify indicators that reflect critical processes related to the
integrity and sustainability of the ecosystem. Specifically we focus on
stream quality and quantity indicators associated with anthropogenic and
natural sources of pollution. A multicriteria decision support system is
then used to develop the analysis matrix where water quality and quantity
indicators for the rivers, lagoons, and soil are combined with
socio-economic variables. The DSS is used to assess four options involving
alternative watersheds designated for intensive agriculture and dairy
farming and the use or not of treated wastewater for irrigation. Our
analysis suggests that of the four options, the most widely acceptable
consists in the transfer of intensive agricultural practices to the larger
watershed, which is less vulnerable, in tandem with wastewater reuse, which
rates highly due to water scarcity in this region of the Mediterranean. More
generally, the work demonstrates how both qualitative and quantitative
methods and information can assist decision making in complex settings. |
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