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| Titel |
Karstic aquifer vulnerability assessment methods and results at a test site (Apulia, southern Italy) |
| VerfasserIn |
M. Polemio, D. Casarano, P. P. Limoni |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 9, no. 4 ; Nr. 9, no. 4 (2009-08-19), S.1461-1470 |
| Datensatznummer |
250006907
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| Publikation (Nr.) |
 copernicus.org/nhess-9-1461-2009.pdf |
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| Zusammenfassung |
Karstic aquifers are well known for their vulnerability to groundwater
contamination. This is due to characteristics such as thin soils and point
recharge in dolines, shafts, and swallow holes. In karstic areas,
groundwater is often the only freshwater source. This is the case of the
Apulia region (south-eastern Italy), where a large and deep carbonate
aquifer, affected by karstic and fracturing phenomena, is located. Several
methods (GOD, DRASTIC, SINTACS, EPIK, PI, and COP) for the assessment of the
intrinsic vulnerability (Iv) were selected and applied to an Apulian test
site, for which a complete data set was set up. The intrinsic vulnerability
maps, produced using a GIS approach, show vulnerability from low to very
high. The maximum vulnerability is always due to karstic features. A
comparison approach of the maps is proposed.
The advantages and disadvantages of each method are discussed. In general
terms, three groups can be distinguished. The GOD method is useful for
mapping large areas with high vulnerability contrasts. DRASTIC and SINTACS
are "any-type aquifer" methods that have some limitations in applications
to karstic aquifers, especially in the case of DRASTIC. EPIK, PI, and COP,
which were designed to be applied to carbonate or karstic aquifers, supply
affordable results, highly coherent with karstic and hydrogeological
features, and reliable procedures, especially in the case of PI and COP. The
latter appears simpler to apply and more flexible in considering the role of
climatic parameters. If Iv of each method is considered, the highest
variability is observed in cells in the neighbourhood of karstic features.
In these spatial domains, additional efforts to define more reliable and
global methods are required. |
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