Anna Bruna Petrangeli

Vulnerability to Drought of a Complex Water Supply System. The Upper Tiber Basin Case Study (Central Italy)

The importance of simulation models to assess the impacts of droughts and the effects of mitigation options on water supply systems is well known. However a common procedure about the exploitation of model results is not established yet. Vulnerability is used to characterize the performance of the system, and it can be a helpful indicator in the evaluation of the most likely failures. In this paper a water allocation model is applied to the water supply system of the upper Tiber Basin (Central Italy) in which both surface waters (rivers, reservoirs) and ground waters (wells, springs) are exploited to feed mainly irrigation and civil users. Drought vulnerability indices are calculated to analyze the performance of the supply system under different climate and management conditions. Water shortage scenarios are simulated as a progressive reduction of mean precipitation, an increase in its standard deviation or a combination of both. The model shows that the safety of the water supply system mainly relies on the reservoirs and that the foreseen increased exploitation of the springs to replace contaminated wells, could be seriously limited by discharge decrease during fall. The vulnerability reduction obtained by a hypothetical augmentation of the storage capacity through additional small reservoirs was positively tested by the model. In conclusion vulnerability indices and synoptic risk maps demonstrated to be useful tools to analyze the model outputs. They provide easy-to-read scenarios to be used in a decision making framework considering negotiating among the main users.

Robust Method to Quantify the Risk of Shortage for Water Supply Systems

AbstractConditions of shortage in a water supply system (WSS) occur when the available water resources are unable to satisfy the related demand (failure). The definition of risk of shortage convent...

An integrated methodology of viticultural zoning to evaluate terrains suitable for viticulture: the test area of Cesanese DOC (Latium, central Italy)

The increase in the world wine market has required continued improvements in viticultural zoning in both old and young production regions. The many proposed zoning methods vary according to the study area in which they are applied as well as to the perspective of the authors. Thus, there is little agreement on which factors (climate, landscape, geology, soil and human intervention) should be taken into account. The aim of this work is to provide a methodology to optimize and possibly increase the development of wine production regions, identifying the zones with different potential suitability. We coupled the computation of bioclimatic indices based on Géoviticulture Multicriteria Climatic Classification System with a GIS (geographic information system) analysis based on the integration of easily accessible geological, morphometric and geomorphological data, in addition to viticulture land use. The final result of this methodology is a suitability map distinguishing sectors of different suitability for wine production in a vine cropping area. We tested the methodology on the Cesanese DOC (Denomination of Origin Verified) zone (Latium, central Italy). The resulting suitability map indicates that the areas more favourable for viticulture are only partially exploited, encouraging the possibility of increasing the production of high-quality wine in the Cesanese DOC area. This result underlines the applicability of our methodology in land-use planning and management.

Dealing with Uncertainty in Decision-Making for Drinking Water Supply Systems Exposed to Extreme Events

The availability and the quality of drinking water are key requirements for the well-being and the safety of a community, both in ordinary conditions and in case of disasters. Providing safe drinking water in emergency contributes to limit the intensity and the duration of crises, and is thus one of the main concerns for decision-makers, who operate under significant uncertainty. The present work proposes a Decision Support System for the emergency management of drinking water supply systems, integrating: i) a vulnerability assessment model based on Bayesian Belief Networks with the related uncertainty assessment model; ii) a model for impact, and related uncertainty assessment, based on Bayesian Belief Networks. The results of these models are jointly analyzed, providing decision-makers with a ranking of the priority of intervention. A GIS interface (G-Net) is developed to manage both input spatial information and results. The methodology is implemented in L’Aquila case study, discussing the potentialities associated to the use of the tool dealing with information and data uncertainty.

A New Online Database on Chemicals in Accordance with REACH Regulation

ABSTRACT The need for comprehensive and reliable risk management of chemicals requires appropriate information, data integration, and sharing, as suggested in Europe by Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) regulation. REACH requires more sharing of responsibilities among authorities, chemical manufacturers, importers, and users to manage the risks that chemicals can pose to human health and the environment throughout their life cycle. This has obviously enlarged the audience of people who could be interested in gathering this information. A major bottleneck is that information sources on chemicals are frequently sparsely distributed, collected, and managed by different institutions, with different aims, resulting in several practical problems. This article describes the conceptual design and implementation of a free online access database (DESC) as an integrated information system on chemical substances in compliance with the REACH regulation. An interdisciplinary approach was applied by involving several experts from different disciplines (ecotoxicologists, chemists, information technology specialists, regulators). DESC contains relevant environmental and toxicological data (physico-chemical and ecotoxicological data, inclusion in priority lists, current classification and labeling, etc.) on more than 651 chemicals, which can be easily consulted by people with different degrees of expertise interested in knowing the risk from exposure to chemicals and their safe use.

Predicting new snow density in the Italian Alps: A variability analysis based on 10 years of measurements

DRST Centro Valanghe di Arabba, ARPA Veneto, Arabba, Italy National Research Council, Water Research Institute (IRSA‐CNR), Rome, Italy National Research Council, Water Research Institute (IRSA‐CNR), Brugherio, Italy National Research Council, Institute for Atmospheric Pollution (IIA‐CNR), Rome, Italy Dipartimento di Scienze, Università degli Studi Roma Tre, Rome, Italy Associazione Interregionale Neve e Valanghe (AINEVA), Trento, Italy Correspondence Nicolas Guyennon, National Research Council, Water Research Institute (IRSA‐CNR), Strada Provinciale 35d, km 0,7, Montelibretti, Rome, Italy. Email: guyennon@irsa.cnr.it