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Assessment of Pressure Sources and Water Body Resilience: An Integrated Approach for Action Planning in a Polluted River Basin

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  • Domenica Mirauda

    (School of Engineering, Basilicata University, Viale dell’Ateneo Lucano 10, 85100 Potenza, Italy)

  • Marco Ostoich

    (Veneto Regional Environmental Prevention and Protection Agency (ARPAV), Provincial Department of Venice, Via Lissa 6, 30172 Venice-Mestre, Italy)

Abstract

The present study develops an integrated methodology combining the results of the water-quality classification, according to the Water Framework Directive 2000/60/EC—WFD, with those of a mathematical integrity model. It is able to analyse the potential anthropogenic impacts on the receiving water body and to help municipal decision-makers when selecting short/medium/long-term strategic mitigation actions to be performed in a territory. Among the most important causes of water-quality degradation in a river, the focus is placed on pollutants from urban wastewater. In particular, the proposed approach evaluates the efficiency and the accurate localisation of treatment plants in a basin, as well as the capacity of its river to bear the residual pollution loads after the treatment phase. The methodology is applied to a sample catchment area, located in northern Italy, where water quality is strongly affected by high population density and by the presence of agricultural and industrial activities. Nearly 10 years of water-quality data collected through official monitoring are considered for the implementation of the system. The sample basin shows different real and potential pollution conditions, according to the resilience of the river and surroundings, together with the point and diffuse pressure sources acting on the receiving body.

Suggested Citation

  • Domenica Mirauda & Marco Ostoich, 2018. "Assessment of Pressure Sources and Water Body Resilience: An Integrated Approach for Action Planning in a Polluted River Basin," IJERPH, MDPI, vol. 15(2), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:390-:d:132959
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    References listed on IDEAS

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    1. Prakash P. Shenoy, 1992. "Valuation-Based Systems for Bayesian Decision Analysis," Operations Research, INFORMS, vol. 40(3), pages 463-484, June.
    2. Mohamed Hamouda & Mohamed Nour El-Din & Fawzia Moursy, 2009. "Vulnerability Assessment of Water Resources Systems in the Eastern Nile Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2697-2725, October.
    3. Wei Shi & Jun Xia & Christopher J Gippel & JunXu Chen & Si Hong, 2017. "Influence of disaster risk, exposure and water quality on vulnerability of surface water resources under a changing climate in the Haihe River basin," Water International, Taylor & Francis Journals, vol. 42(4), pages 462-485, May.
    4. Michael Nones, 2016. "Is public participation an added value for river basin management?," European Planning Studies, Taylor & Francis Journals, vol. 24(6), pages 1159-1174, June.
    5. Ross D. Shachter, 1988. "Probabilistic Inference and Influence Diagrams," Operations Research, INFORMS, vol. 36(4), pages 589-604, August.
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    Cited by:

    1. Rodica-Mihaela Frîncu, 2021. "Long-Term Trends in Water Quality Indices in the Lower Danube and Tributaries in Romania (1996–2017)," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    2. Yucheng Liu & Chuansheng Wang & Yutong Chun & Luxin Yang & Wei Chen & Jack Ding, 2019. "A Novel Method in Surface Water Quality Assessment Based on Improved Variable Fuzzy Set Pair Analysis," IJERPH, MDPI, vol. 16(22), pages 1-24, November.

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