Study on health status and remediation potential of Phragmites australis employed in an Emilia Romagna (IT) Constructed Wetland to assess zonal variability of the facility.

Phragmites australis (Cav.) Trin. ex Steud. is a hydrophyte particularly resistant to harsh conditions, e.g. drought, high salinity, contaminants, such as heavy metals and toxic molecules, and high nutrients concentrations. These resistances render the plant suitable for water depuration, where its particular metabolism is exploited to remove pollutants and excessive nutrients from the environment. In constructed wetlands, this principle is applied to phyto-purify wastewater with various origins, such as industrial, agricultural and household, with the aim to improve its quality to an extent which would render its reuse possible. In the framework of a pre-existing project of Department of Agricultural and Food Sciences (DiSTAl), this work integrates the knowledge and data relative to an Emilia Romagna (IT) constructed wetland plant, in order to expand the knowledge about this particular facility and of the system in general. By assaying antioxidants, both non- enzymatic and enzymatic, chlorophylls content and net photosynthetic rates, and by measuring the elemental composition of the specimens, the health status and the elemental uptake of the wetland plants sampled in different areas were investigated. The results were compared amongst the examined specimens with the aim to detect areas where there may be a higher stress due to a different wastewater composition, potentially varying along the constructed route. In addition, different parameters regarding the extraction and assay protocols were investigated, in order to optimise the procedure and to select the best conditions to perform the analyses, as well as to integrate information missing in literature or found as contradictory.

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.