2017 5th International Conference on Environment Pollution and Prevention | |
Integrity Model Application: A Quality Support System for Decision-makers on Water Quality Assessment and Improvement | |
生态环境科学 | |
Mirauda, D.^1 ; Ostoich, M.^2 ; Di Maria, F.^3 ; Benacchio, S.^4 ; Saccardo, I.^4 | |
School of Engineering, Basilicata University, Viale dell'Ateneo Lucano 10, Potenza | |
85100, Italy^1 | |
Dipartimento Provinciale di Venezia, ARPAV, Via Lissa 6, Mestre-Venezia | |
30171, Italy^2 | |
Environmental Engineering Services Srl, Academic Spin off, Basilicata University, Via Varco d'Izzo 28, Potenza | |
85100, Italy^3 | |
Servizio Osservatorio Acque Interne, ARPAV, Via Ospedale Civile 24, Padova | |
35121, Italy^4 | |
关键词: Continuous control; Diffuse pollution; Environmental pollutions; Good ecological status; Influence diagram; Wastewater discharge; Water Framework Directives; Water quality assessments; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/120/1/012006/pdf DOI : 10.1088/1755-1315/120/1/012006 |
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学科分类:环境科学(综合) | |
来源: IOP | |
【 摘 要 】
In this paper, a mathematical model has been applied to a river in North-East Italy to describe vulnerability scenarios due to environmental pollution phenomena. Such model, based on the influence diagrams theory, allowed identifying the extremely critical factors, such as wastewater discharges, drainage of diffuse pollution from agriculture and climate changes, which might affect the water quality of the river. The obtained results underlined how the water quality conditions have improved thanks to the continuous controls on the territory, following the application of Water Framework Directive 2000/60/EC. Nevertheless, some fluvial stretches did not reach the "good ecological status" by 2015, because of the increasing population in urban areas recorded in the last years and the high presence of tourists during the summer months, not balanced by a treatment plants upgrade.
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Files | Size | Format | View |
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Integrity Model Application: A Quality Support System for Decision-makers on Water Quality Assessment and Improvement | 1255KB | download |