Panoramica delle applicazioni GIS al CRS4

2006-11-22Sardegna Ricerche, Edificio 2, Località Piscinamanna 09010 Pula (CA) - ItaliaGis Day 2006: dal Gis al Geo-We

Sistema informativo per l'individuazione di zone a rischio ambientale in un'area a sud della Sardegna

Il presente studio si inquadra nel più vasto progetto europeo del CRS4 ADAPT VISION. Esso prevede la realizzazione di un prototipo di sistema informativo territoriale che consenta di verificare se l'azione antropica, nell'area scelta per lo studio, ha determinato una trasformazione dell'ambiente dal punto di vista idrogeologico e forestale. L'area oggetto di studio si trova a cavallo dei comuni di Pula e Domus De Maria in Provincia di Cagliari (sud Sardegna). Tale area è caratterizzata da 3 zone differenti dal punto di vista morfologico, idrogeologico e forestale ma da una situazione analoga dal punto di vista vincolistico. La zona costiera e’ caratterizzata da un’alta concentrazione di insediamenti turistici. Lo studio ambientale dell'area ha messo in evidenza che l'aspetto predominante è il rischio di erosione; è stato quindi inserito nel sistema un modello empirico di individuazione di zone a rischio. Nella zona costiera ci si è preoccupati di verificare la possibilità di intrusione salina nelle acque sotterranee attraverso la misura della conducibilità elettrica in alcuni pozzi opportunamente scelti. Per verificare lo stato di salute della vegetazione sono state effettuate, in ognuna delle tre zone, misure dendrometriche. Inoltre, per la zona residenziale è stata prodotta una mappa di rischio di evacuazione, ottenuta tenendo conto dello stato della viabilità e della distribuzione della popolazione.The present study is part of CRS4’s European Project “ADAPT VISION”, and its purpose is to develop a GIS-based prototype that allows the user to evaluate the consequences of human activities on the landscape. The study area is located in the South-Western coast of Sardinia and it consists of three zones that are characterizated by the same legislative restriction, but that differ in morphology, hydrography and land use. An empirical model has been applied to the whole area in order to define erosion risk zones; in situ conductivity measurements in coastal wells have been taken to check the presence of saltwater intrusion; a spatial evacuation model has been used to achieve an escape route vulnerability map for the edified zone

A user friendly multi-catchments tool for the SWAT model

A software system to manage SWAT results (bsb.dbf and rch.dbf) has been developed on a multi catchment scale. Regions such as Sardinia, Sicily, Portugal etc are, in fact, characterized by a large variety of ecosystems within complex catchments. The AVS2000 interface deals with one watershed at a time, but the aggregation of SWAT results about adjacent basins may be necessary for an integrated water resources management. To achieve this goal, an ArcView extension, called multi-catch.avx, has been developed. The extension allows the user to select the subbasins within the basins under investigation and obtain statistical reports of the model output, from the rch and bsb tables, in the form of charts, statistics and maps. The tool helps water managers in the demanding problem of water management by automating the post processing operation when dealing with many catchments within a region. Multi-catch.avx uses the bsb and rch files of all the projects and dynamically permits making time and spatial analysis at the widest scale and creating maps in the ArcView environment. A project view is created where all the watersheds under study are displayed along with their subbasins. The user can dynamically visualize and analyse the spatial distribution of a chosen model output for all the active subbasins within the given basin, at a monthly or yearly time resolution. Moreover the bsb file of each project is aggregated to represent the whole basin under study and statistical indicators such as mean, standard deviation etc. are calculated. The newly developed ArcView extension has been utilized to map, and analyze 15 Swat projects within the Sardinian Region.153-15

A Decision Support System based on the SWAT model for the Sardinian Water Authorities

Sardinian Regional Authorities, such as Assessorato della Difesa dell’Ambiente, have the demanding problem of water management and protection. Targeted to their specific needs they use alternative applications and models for their specific tasks. Black box models, in the past, have been the most commonly used approach to describe the hydrological cycle. Despite their wide use, these models have shown severe limitations to take into account land use and climate changes. Physically based models can make better prediction when different combination of soil and land use, within the basin, have a significant effect on the hydrological cycle. The variety and complexity of alternative environmental problems found in the island, which vary from the impact of the agro-zootechnical to the industrial compartment, have suggested that empirical models are less suitable to predict the environmental dynamics at the catchment’s scale. Regional Authorities enact Regional Directives to enforce different European Directives, and no absolute limits can be drawn to separate their alternative field of application. The Piano di Tutela delle Acque Regional Directives aim to enforce water policy in terms of definition on where and how water resources must be used and what water protection actions need to be taken to improve water quality of rivers, lagoons, groundwater, lakes etc.. In this context, the hydrological physically based SWAT model has been chosen and applied to estimate both the water balance of the main catchments of the island and the impact of land management practices on downstream water bodies. The performance of the model has been evaluated on several stream flow monitoring gages against registered data.The study has been partially funded by the Sardinian Regional Authorities.369-37

The SITAI project for the industrial areas of Sardinia: from a GIS database to a web-based site selection tool

SITAI, Sistema Informativo Territoriale delle Aree Industriali della Sardegna (Geographic Information System for the Industrial Areas of Sardinia) is a product which is being developed in Sardinia by Osservatorio Industriale della Sardegna with the support of CRS4. The system has been conceived with three main aims. The first is to conduct economic studies related to site and resource optimization, through analysis of the firms, facilities and infrastructure available in the Sardinian region and within each industrial area. The second is to promote Sardinia's industrial parks and to offer a site selection tool to potential investors, providing an integrated and harmonized view of the various industrial sites by means of a web-based interface to the data. Finally, the system is being proposed as a common starting point for the implementation of facility management applications within the industrial parks. The core of the SITAI database is represented by a set of geographic layers for each of the 23 currently active parks, linked to detailed information on the available infrastructure, the existing utilities, the characteristics of the firms located in the area, and on the costs for siting a new activity. This information is complemented by a regional-level view of the transportation networks and administrative boundaries, allowing to perform complex analyses on the available information. The project is now in its fourth year of life. After a prototype phase conducted in 1996-1997 on a single industrial park, the complete "desktop" version of the system has been implemented in 1998, and is currently being used by Osservatorio Industriale to provide, jointly with its other databases concerning the regional economy, a support to local policy makers, private companies, and consultants. During the past year, in addition to the development of the web-based interface to the database (released in May 2000) and the update of the database, one of the key issues faced has concerned the technology transfer towards the various actors involved in the project, either as data providers (i.e. the managers and the technicians of the parks), or as users (i.e. Osservatorio Industriale in their role as socio-economic analysts), in terms both of awareness raising on the potential of GIS-enabled applications and of training on the use of the system. The presentation will describe the features of the system, discuss some of the issues which have emerged as critical during the project, and present its possible further developments. In particular, we will focus on the site selection functionality offered by the web-based interface

DOF AFFECTING GERMINATION 2 is a positive regulator of light-mediated seed germination and is repressed by DOF AFFECTING GERMINATION 1

Abstract BACKGROUND: The transcription factor DOF AFFECTING GERMINATION1 (DAG1) is a repressor of the light-mediated seed germination process. DAG1 acts downstream PHYTOCHROME INTERACTING FACTOR3-LIKE 5 (PIL5), the master repressor, and negatively regulates gibberellin biosynthesis by directly repressing the biosynthetic gene AtGA3ox1. The Dof protein DOF AFFECTING GERMINATION (DAG2) shares a high degree of aminoacidic identity with DAG1. While DAG1 inactivation considerably increases the germination capability of seeds, the dag2 mutant has seeds with a germination potential substantially lower than the wild-type, indicating that these factors may play opposite roles in seed germination. RESULTS: We show here that DAG2 expression is positively regulated by environmental factors triggering germination, whereas its expression is repressed by PIL5 and DAG1; by Chromatin Immuno Precipitation (ChIP) analysis we prove that DAG1 directly regulates DAG2. In addition, we show that Red light significantly reduces germination of dag2 mutant seeds. CONCLUSIONS: In agreement with the seed germination phenotype of the dag2 mutant previously published, the present data prove that DAG2 is a positive regulator of the light-mediated seed germination process, and particularly reveal that this protein plays its main role downstream of PIL5 and DAG1 in the phytochrome B (phyB)-mediated pathway

Variable sediment oxygen uptake in response to dynamic forcing

Seiche-induced turbulence and the vertical distribution of dissolved oxygen above and within the sediment were analyzed to evaluate the sediment oxygen uptake rate (JO2), diffusive boundary layer thickness (δDBL), and sediment oxic zone depth (zmax) in situ. High temporal-resolution microprofiles across the sediment-water interface and current velocity data within the bottom boundary layer in a medium-sized mesotrophic lake were obtained during a 12-h field study. We resolved the dynamic forcing of a full 8-h seiche cycle and evaluated JO2 from both sides of the sediment-water interface. Turbulence (characterized by the energy dissipation rate, ε), the vertical distribution of dissolved oxygen across the sediment-water interface (characterized by δDBL and zmax), JO2, and the sediment oxygen consumption rate (RO2) are all strongly correlated in our freshwater system. Seiche-induced turbulence shifted from relatively active (ε = 1.2 × 10-8 W kg-1) to inactive (ε = 7.8 × 10-12 W kg-1). In response to this dynamic forcing, δDBL increased from 1.0 mm to the point of becoming undefined, zmax decreased from 2.2 to 0.3 mm as oxygen was depleted from the sediment, and JO2 decreased from 7.0 to 1.1 mmol m-2 d-1 over a time span of hours. JO2 and oxygen consumption were found to be almost equivalent (within ~ 5% and thus close to steady state), with RO2 adjusting rapidly to changes in JO2. Our results reveal the transient nature of sediment oxygen uptake and the importance of accurately characterizing turbulence when estimating JO2

The DAG1 transcription factor negatively regulates the seed-to-seedling transition in Arabidopsis acting on ABA and GA levels

BACKGROUND: In seeds, the transition from dormancy to germination is regulated by abscisic acid (ABA) and gibberellins (GAs), and involves chromatin remodelling. Particularly, the repressive mark H3K27 trimethylation (H3K27me3) has been shown to target many master regulators of this transition. DAG1 (DOF AFFECTING GERMINATION1), is a negative regulator of seed germination in Arabidopsis, and directly represses the GA biosynthetic gene GA3ox1 (gibberellin 3-β-dioxygenase 1). We set to investigate the role of DAG1 in seed dormancy and maturation with respect to epigenetic and hormonal control. RESULTS: We show that DAG1 expression is controlled at the epigenetic level through the H3K27me3 mark during the seed-to-seedling transition, and that DAG1 directly represses also the ABA catabolic gene CYP707A2; consistently, the ABA level is lower while the GA level is higher in dag1 mutant seeds. Furthermore, both DAG1 expression and protein stability are controlled by GAs. CONCLUSIONS: Our results point to DAG1 as a key player in the control of the developmental switch between seed dormancy and germination

Il supporto dei sistemi informativi territoriali nella modellazione dei sistemi di trasporto regionali:la collaborazione tra CRiMM e CRS4 (settembre - dicembre 1998)

In questo rapporto si d a una sintesi delle attività svolte presso il CRS4 nell'ambito della collaborazione con il Centro di Ricerca Modelli Mobilità (CRiMM) dell'Università di Cagliari per lo studio propedeutico al Piano Pluriennale di Protezione Civile Regionale

Studio di un S.I. per la gestione delle emergenze in seguito a eventi calamitosi in Sardegna

La simulazione di situazioni di rischio derivanti da eventi calamitosi estesi è necessaria al fine di individuare le più rapide vie di accesso all'area colpita da parte dei mezzi e delle squadre di soccorso a terra e di indicare alle autorità preposte le vie di fuga ed evacuazione rapida delle persone verso zone sicure. Vi sono però alcune tipologie di incidenti, come ad esempio gli incendi o le emissioni tossiche, per le quali risulta difficoltoso stabilire a priori strategie generali di intervento, a causa della dipendenza da una moltitudine di fattori determinabili solo al momento dell'evento. In questi casi, un importante contributo allo studio di scenari di rischio può essere dato dall'impiego di modelli di evacuazione che forniscano una base preliminare, svincolata da eventi specifici, tesa a evidenziare le zone più critiche in funzione della distribuzione della popolazione e delle caratteristiche delle infrastrutture. Viene presentato un caso di studio relativo all'area industriale di Predda Niedda (Sassari).The simulation of disasters arising from hazardous events is necessary in order to identify the fastest access routes to the affected zones and to provide indications on the possible safety routes. However, there are several types of accidents, such as firestorms or toxic spills, for which the a priori definition of general emergency strategies appears problematic, due to dependence on many factors which can be assessed only at the time of the event. In such cases, an important support in the analysis of accident scenarios can be given by the use of community evacuation models independent of any hazard or zone, which can be employed to identify the spatial variation in evacuation difficulty taking into account only the distribution of the population and the existing infrastructure. The model described has been applied to a case study for the industrial area of Predda Niedda (Sassari)