dc.contributor.advisor |
Marcomini, Antonio |
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dc.contributor.author |
Pizzol, Lisa <1978> |
it_IT |
dc.date.accessioned |
2010-05-27T08:24:29Z |
it_IT |
dc.date.accessioned |
2012-07-30T16:03:17Z |
|
dc.date.available |
2010-05-27T08:24:29Z |
it_IT |
dc.date.available |
2012-07-30T16:03:17Z |
|
dc.date.issued |
2010-02-08 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/1001 |
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dc.description.abstract |
Environmental risks are traditionally assessed and presented in non spatial ways although the spatial relations between the risk assessment components and the spatial distribution of the risk assessment variables strongly influence exposure estimations and hence risks. According to the scale of the problem, two different spatial risk assessments approaches can be identified: site-specific spatial risk assessment and regional risk assessment. In the present Ph.D. thesis the first approach applies geostatistic interpolation methods for mapping the distribution of contaminants concentration in order to support the risk-based zoning of the site. It was implemented in DESYRE (DEcision Support sYstem for the REqualification of contaminated sites) and applied to the Porto Marghera case study. At regional scale, an innovative methodology integrating a relative risk approach and spatial analysis was developed to select sites at regional scale where a preliminary soil investigation is required first. It was implemented in SYRIADE (Spatial decision support sYstem for Regional rIsk Assessment of DEgraded land) and applied to the Upper Silesia case-study. |
it_IT |
dc.description.abstract |
Tradizionalmente nella valutazione dei rischi per l’uomo e per l’ambiente, le relazioni spaziali tra le componenti dell’analisi di rischio e la distribuzione spaziale delle variabili coinvolte non vengono adeguatamente considerate, sebbene esse influiscono sulla valutazione dell’esposizione e quindi del rischio. In base alla scala di analisi, si possono identificare due approcci di analisi di rischio (AR): l’AR spaziale sito-specifica e l’AR regionale. Nella presente tesi di dottorato è stata sviluppata una procedura di AR spaziale sito-specifica che utilizza metodi di interpolazione spaziale per ottenere delle mappe di distribuzione della contaminazione al fine di supportare la zonizzazione del sito sulla base dei livelli di rischio. A scala regionale è stata sviluppata una metodologia innovativa che integra un approccio di AR relativo con analisi spaziali, per selezionare i siti dove le attività di caratterizzazione sono urgentemente richieste. Le due metodologie sono state implementate rispettivamente in DESYRE (DEcision Support sYstem for the REqualification of contaminated sites) e in SYRIADE (Spatial decision support sYstem for Regional rIsk Assessment of DEgraded land) e applicate al sito di Porto Marghera e alla regione dell’Upper Silesia. |
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dc.format.medium |
Tesi cartacea |
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dc.language.iso |
en |
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dc.publisher |
Università Ca' Foscari Venezia |
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dc.rights |
© Lisa Pizzol, 2010 |
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dc.subject |
Decision support system (DSS) |
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dc.subject |
Spatial and regional risk assessment |
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dc.subject |
Vulnerability analysis |
it_IT |
dc.title |
Spatial and regional risk assessment in decision support systems for environmental risk management |
it_IT |
dc.type |
Doctoral Thesis |
it_IT |
dc.degree.name |
Scienze ambientali |
it_IT |
dc.degree.level |
Dottorato di ricerca |
it_IT |
dc.degree.grantor |
Facoltà di Scienze matematiche fisiche e naturali |
it_IT |
dc.description.academicyear |
2007/2008 |
it_IT |
dc.description.cycle |
21 |
it_IT |
dc.degree.coordinator |
Pavoni, Bruno |
it_IT |
dc.location.shelfmark |
D000931 |
it_IT |
dc.location |
Venezia, Archivio Università Ca' Foscari, Tesi Dottorato |
it_IT |
dc.rights.accessrights |
openAccess |
it_IT |
dc.thesis.matricno |
955162 |
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dc.format.pagenumber |
149 p. |
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dc.subject.miur |
CHIM/12 CHIMICA DELL'AMBIENTE E DEI BENI CULTURALI |
it_IT |
dc.description.note |
Doctor Europaeus |
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dc.description.tableofcontent |
SUMMARY 4
SOMMARIO 6
LIST OF CONTRIBUTIONS 9
CHAPTER 1 Introduction 12
1.1 Background 12
1.2 Thesis structure 18
CHAPTER 2 Spatial and regional risk assessment 20
2.1 Site- specific spatial risk assessment 22
2.1.1 Definitions 22
2.1.2 Motivation of the development of the site specific spatial risk assessment 24
2.1.3 Site-specific risk assessment applications and open issues 27
2.2 Regional risk assessment 31
2.2.1 Definitions 31
2.2.2 Motivation of the development of the regional risk assessment 33
2.2.3 Different approaches for regional risk assessment 36
CHAPTER 3 Decision Support Systems (DSS) for environmental risk assessment 42
3.1 DSSs definitions and objectives 42
3.2 Decision Suppot Systems (DSSs) for contaminated sites management 43
3.3 Identification of available Decision Support Systems for contaminated sites management 46
3.4 Multi-Criteria Decision Analysis (MCDA) methods 48
CHAPTER 4 Spatial risk assessment in DESYRE 50
4.1 Remediation planning of contaminated megasites 50
4.1.1 Spatial risk assessment 51
4.1.2 The spatial risk assessment in the DESYRE SDSS 52
4.2 Methods 52
4.2.1 Hazard assessment 52
4.2.2 Exposure assessment 55
4.2.3 Risk characterization 56
4.2.4 Uncertainty analysis 61
CHAPTER 5 Regional risk assessment implemented in SYRIADE 65
5.1 Regional risk assessment implemented in the SYRIADE DSS 65
5.1.1 Definition of the regional exposure diagram 66
5.1.2 Definition of the general relative risk model 67
5.1.3 Hazard analysis 70
5.1.4 Vulnerability analysis 74
5.1.5 Pathway relevance analysis and sources-targets relationship assessment 85
5.1.6 Regional risk estimation 88
CHAPTER 6 DESYRE application to Porto Marghera case study 89
6.1 General conceptual model of the site and input data description 89
6.1.1 Selection of the substances of concern 91
6.1.2 Exposure and toxicological values 92
6.2 Risk characterisation 98
6.2.1 Deterministic risk assessment 98
6.2.2 Probabilistic risk estimation 103
CHAPTER 7 SYRIADE application to the Poland case study 105
7.1 Hazard analysis 105
7.2 Vulnerability analysis 109
7.3 Pathway analysis 115
7.4 Relative risk analysis 122
CHAPTER 8 Conclusions 128
REFERENCES 131
ACKNOWLEDGEMENT 149 |
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dc.identifier.bibliographiccitation |
Pizzol, Lisa. Spatial and regional risk assessment in Decision Support Systems for environmental risk management, Università Ca' Foscari Venezia, tesi di dottorato, 21. ciclo, 2010. |
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