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Caradonna G.,Polytechnic of Bari | Figorito B.,ARPA Puglia | Tarantino E.,Polytechnic of Bari
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

In recent years, people’s need to participate to decision making, especially when it concerns inalienable human rights such as health and living in a healthy environment, has become increasingly manifest. In order to meet the request for environmental information sharing on the web and to make citizens feel “partakers” in the development of environmental policies, the Physical Agents Simple Operative Unit of ARPA Puglia, developed an open source WebGIS as a communication, participation and working tool for both Citizens and Technicians. This paper proposes an efficient approach to customize and integrate an open source WebGIS system based on MapServer and Pmapper. The layout of the WebGIS was customized by filling pages in Cascading Style Sheets (CSS) to make it intuitive and easy to use. The features offered are those commonly provided by a WebGIS system, in particular: geographical navigation (pan, zoom, zoom to selection), query time and multiple layers, transparency level options, printing and exporting of current image views or pdf files. Environmental data results from a query can be downloaded in pdf, kml and shp formats. The possibility to download files is a key component of the system as it allows the average expert user to find data in an easily and processable format. © Springer International Publishing Switzerland 2015. Source


Calculli C.,University of Bari | Pollice A.,University of Bari | Serinelli M.,ARPA Puglia
Environmetrics | Year: 2012

In Environmental Epidemiology studies, the effects of the presence of a source of pollution on the population health can be evaluated by models that consider the distance from the source as a possible risk factor. We introduce a hierarchical Bayesian model in order to investigate the association between the risk of multiple pathologies and the presence of a single pollution source. Our approach provides the possibility to incorporate spatial effects and other confounding factors within a logistic regression model. Spatial effects are decomposed into the sum of a disease-specific parametric component accounting for the distance from the point source and a common semi-parametric component that can be interpreted as a residual spatial variation. The model is applied to data from a spatial case-control study to evaluate the association of the incidence of different cancers with the residential location in the neighborhood of a petrochemical plant in the Brindisi area (Italy). © 2011 John Wiley & Sons, Ltd.. Source


Barbone E.,ARPA Puglia | Barbone E.,University of Salento | Rosati I.,University of Salento | Reizopoulou S.,Institute of Oceanography | Basset A.,University of Salento
Ecological Indicators | Year: 2012

The assessment of human impacts on aquatic ecosystems requires separate quantification of natural and anthropogenic sources of environmental variability. This statement is very challenging in some categories of water bodies such as transitional waters, because they are naturally stressed ecosystems in which natural variability occur on different spatial scales (gradients versus patchiness) and temporal scales (regular versus pulse events). Among transitional water quality elements, benthic macroinvertebrates are the most exposed to natural variability patterns due to their life cycles and space-use behavior. In this article, we have evaluated the relevance of different potential sources of natural variability of benthic macroinvertebrate guilds on the temporal and spatial scales and we have quantified their effects on simple and multimetric descriptors of macroinvertebrate guilds; the latter included biomass and numerical densities, taxonomic diversity as well as M-AMBI and index of size spectra, ISS. The study was carried out using the TWReferenceNET database of 14 Eastern Mediterranean and Black Sea lagoons. Synoptic sampling of benthic macroinvertebrates was performed seasonally in different habitats within each lagoon in accordance with a nested design. All considered metrics showed a relatively high degree of variability among different reference stations and ecosystems, with the coefficient of variation ranging from 20% (log numerical density) to 45% (M-AMBI). The average values of every metric were significantly affected by the considered natural sources of variation: lagoon typology, seasonal period and habitat patchiness. Among components of lagoon typology, water salinity influenced the most the variation for both simple and multimetric descriptors. Seasonal period also had a strong influence, with higher values for all metrics before the summer season compared to the one after summer. Benthic habitat patchiness had a considerable influence only on the simple metrics, while continuous habitat variables significantly affected both M-AMBI and ISS. A general mixed model approach, used to quantify the relative influence of the different sources of variation on the considered metrics, allowed calculating type-specific boundaries for M-AMBI and ISS. The new boundaries significantly improved the accuracy of both multimetric indices in the classification of studied reference condition sites, with more than 75% of stations classified as good or high status. Nonetheless, results show that there is an intrinsic uncertainty in the classification of ecological status of lagoon ecosystem due to the degree of variability under reference conditions. © 2011 Elsevier Ltd. Source


Costantinia A.,Procura della Repubblica | Valenzano B.,ARPA Puglia
Chemical Engineering Transactions | Year: 2012

Environmental impacts by both man-made interventions and accidental events are taking on considerable importance; and developing the capacity to minimize these impacts and their harmful consequences for ecosystems and human health is a daunting task for environmental legislators and regulators. A major challenge in impact and risk assessment, as part of safety and integrated environmental management, is to link harmful effects of pollution (including toxic chemicals) to natural resources (soil, underground water, etc.) and to human health. Complex issues are involved in evaluating both environmental risk, for the effects on the ecosystems, and accidental risk, derivative for use of complex mixtures potentially dangerous in productive industrial processes. Therefore, risk assessment and management must include tools based on externally generated risk contours and links to optimal management models of industrial plants by application of Best Available Techniques (BAT). In particular, to reduction models of, accidental and continuous, atmospheric releases and of spills into surface water systems. By the adoption, before of the Directive 82/501/CE (EC, 1982), then of the Directive 96/82/EC (EC, 1996), called Directive "Seveso II", were obtained two aims. The first is prevention of major accident hazards involving dangerous substances. The second is limitation of accidental consequences for man and for environment by introduction of concept of "Domino Effect". This directive has been implemented in Italy by the Legislative Decree no.334 of 17 August 1999 (IG, 1999), hereinafter "L.D. no. 334/99" or "Decree", then revised by the Legislative Decree no. 238 of 21 September 2005, "L.D. no. 238/05" (IG, 2005). Indeed, article no. 25 of Decree establishes that Regions carry out audits on safety management system (SMS) of industrial plants, classified as article no. 6 of L.D. no. 334/99, and the Environment Ministry carry out checks on plants classified as article no. 8, pending the full transfer of responsibilities from State to Regions in accordance by article no. 72 of Legislative Decree no. 112 of 31 March 1998, "L.D. no. 112/98" (IP, 1998) (Activities in Major Accident Risk). Therefore, preliminary investigation, control and planning aimed at ensuring ecosystems and human health security derived to use of hazardous substances, is a task for regional legislators. The Apulia has covered these issues by adopting of Regional Law no. 06 of 2008, "L. no. 06/08" (RC, 2008), as a prerequisite for proceeding to Agreement State-Region. On 21 December 2010, the European Commission has emanated the latest proposal for repeal and replace of current Directive to adopt by 1 June 2015. Therefore, European and national regulatory framework about accidental risks is defined and mature. In Italy, the control activities are carried out in line as in other EU countries. Copyright © 2012, AIDIC Servizi S.r.l. Source


Balacco G.,Polytechnic of Bari | Figorito B.,ARPA Puglia | Tarantino E.,Polytechnic of Bari | Gioia A.,Polytechnic of Bari | Iacobellis V.,Polytechnic of Bari
Environmental Monitoring and Assessment | Year: 2015

The vegetation space–time variability during 1999–2010 in the North of the Apulian region (Southern Italy) was analysed using SPOT VEGETATION (VGT) sensor data. Three bands of VEGETATION (RED, NIR and SWIR) were used to implement the vegetation index named reduced simple ratio (RSR) to derive leaf area index (LAI). The monthly average LAI is an indicator of biomass and canopy cover, while the difference between the annual maximum and minimum LAI is an indicator of annual leaf turnover. The space–time distribution of LAI at the catchment scale was analysed over the examined period to detect the consistency of vegetation dynamics in the study area. A diffuse increase of LAI was observed in the examined years that cannot be directly explained only in terms of increasing water availability. Thus, in order to explain such a general behaviour in terms of climatic factors, the analysis was performed upon stratification of land cover classes, focusing on the most widespread species: forest and wheat. An interesting ascending–descending behaviour was observed in the relationship between inter-annual increments of maximum LAI and rainfall, and in particular, a strong negative correlation was found when the rainfall amount in January and February exceeded a critical threshold of about 100 mm. © 2015, The Author(s). Source

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