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Statistical Analysis of Bathing Water Quality in Puglia Region (Italy)

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  • Daniela Malcangio

    (DICATECh, Polytechnic University of Bari, Via E. Orabona n.4, 70125 Bari, Italy)

  • Claudio Donvito

    (Freelance, Largo G. Ungaretti 2, 70056 Molfetta, Italy)

  • Nicola Ungaro

    (ARPA Puglia, Corso Trieste 27, 70126 Bari, Italy)

Abstract

Geostatistic analysis was applied to the dataset from multi-year monitoring, in the Apulian marine-coastal zone (Mediterranean Sea, Italy), on the presence and abundance of intestinal Enterococci and Escherichia coli , microbiological indicators of faecal contamination at the sea. The same faecal contamination can be considered as the main cause of pollution phenomenon under current Italian and European regulations for the bathing waters (Italian Government Decree 116/2008, European Directive 2006/7/CE). The main objective of the study is to verify, taking into the account the anthropic pressures acting on the coastal zone, the efficiency of the Apulian regional monitoring plan currently in force for the assessment of bathing waters quality, with a view to a hypothetical reduction of sample collection points.

Suggested Citation

  • Daniela Malcangio & Claudio Donvito & Nicola Ungaro, 2018. "Statistical Analysis of Bathing Water Quality in Puglia Region (Italy)," IJERPH, MDPI, vol. 15(5), pages 1-15, May.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:1010-:d:147235
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    References listed on IDEAS

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    4. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
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    Cited by:

    1. Athanasios Tselemponis & Christos Stefanis & Elpida Giorgi & Aikaterini Kalmpourtzi & Ioannis Olmpasalis & Antonios Tselemponis & Maria Adam & Christos Kontogiorgis & Ioannis M. Dokas & Eugenia Bezirt, 2023. "Coastal Water Quality Modelling Using E. coli , Meteorological Parameters and Machine Learning Algorithms," IJERPH, MDPI, vol. 20(13), pages 1-22, June.

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