A5068499306- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Water Systems and Optimization
- Insect Pheromone Research and Control
- Vehicle emissions and performance
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
- Soil erosion and sediment transport
- Solar Radiation and Photovoltaics
- Hydrology and Sediment Transport Processes
- Water Treatment and Disinfection
- Energy and Environment Impacts
- Water Quality Monitoring and Analysis
- Geographic Information Systems Studies
- Advanced Computational Techniques and Applications
- Environmental Monitoring and Data Management
- Impact of Light on Environment and Health
- Energy Efficient Wireless Sensor Networks
- Analytical Chemistry and Sensors
- Seismology and Earthquake Studies
- Advanced Sensor Technologies Research
- Photovoltaic Systems and Sustainability
- Smart Materials for Construction
National Agency for New Technologies, Energy and Sustainable Economic Development
2015-2024
ENEA Portici Research Centre
2007-2022
Università degli studi di Cassino e del Lazio Meridionale
2011
Ambiente Italia (Italy)
2007
Semi-supervised learning is a promising research area aiming to develop pattern recognition tools capable exploit simultaneously the benefits from supervised and unsupervised techniques. These can lead very efficient usage of limited number samples achievable in many artificial olfaction problems like distributed air quality monitoring. We believe it also be beneficial addressing another source knowledge we have face when dealing with real world problems: concept sensor drifts. In this paper...
Agrivoltaics’ share of renewable generation is relevant for countries to achieve their energy transition targets. Agrivoltaics the dual and synergistic use land by agricultural crop production photovoltaic (PV) systems. For development around a country, fundamental step determine which areas are suitable. This research work has developed methodological framework reliable agrivoltaic eligibility analysis at regional scale based on spatial multicriteria (i.e., GIS/MCDM-AHP). The challenging...
Outdoor exposure to particulate matter (PM2.5 and PM10) in urban areas can vary considerably depending on the mode of transport. This study aims quantify this difference during daily travel, by carrying out a micro-sensor measurement campaign. The pollutant was assessed simultaneously over predefined routes order allow comparison between different transport modes having same starting ending points. During six-week campaign, average reference values for PM background concentrations were 13.72...
A pervasive assessment of air quality in an urban or mobile scenario is paramount for personal city-wide exposure reduction action design and implementation. The capability to deploy a high-resolution hybrid network regulatory grade low-cost fixed devices primary enabler the development such knowledge, both as source information validating predictive models. real-time cumulative monitoring also considered driver exposome future medicine approaches. Leveraging on chemical sensing, machine...
Novel model of citizenship calls for a new approach to the policy making, characterized by wish be part information building process. The citizen wants become an active member smart city. This has its impact also on air quality monitoring and control In this work, we try answer these needs investigating centered concept. goal is enable individuals monitor their exposure pollution simultaneously contribute creating map state urban through sharing data.
Abstract. An application of regression relationships depending on geomorphic parameters is proposed to predict the amount average annual suspended sediment yield at different sections drainage network. Simple and multiple relationships, utilising density hierarchical anomaly index as independent variables, based data from 20 river basins size located in Italy, are here tested. also shown for a small basin central Italy where it possible compare obtained estimates with reservoirs siltation...
Indoor Air Quality assessment is an emerging application field for chemical sensing due to raising concerns about indoor VOC pollution levels. Local and distributed of chemicals concentrations also significant safety (gas spills detection, monitoring) security applications as well HVAC automation energy efficiency. Mobile robot based wireless sensor network approaches are under investigation providing efficient solutions. Here, we report results obtained by a intelligent electronic noses in...
Urban air pollution continues to represent a primary concern for human health, despite significant efforts by public authorities mitigating its effects. Regulatory monitoring networks are essential tools monitoring. However, they sparse networks, unable capture the spatial variability of pollutants. For addressing this issue, low cost stations deployed, supplementing regulatory stations. Regarding application, an important question is where these installed The objective study was generate...
There is an increasing scientific interest in studying vehicular traffic pollution road tunnels. This due both to the evaluating effect that different polluting gases can have on driving style of motorists and also hypothesis tunnels could be considered as closed systems which traffic–pollution correlation easier study because it more easily separated from other effects. In this work, a system low-cost IoT sensor nodes for detection carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3),...
The latest improvements in geo-informatics offer new opportunities a wide range of territorial and environmental applications. In this general framework, relevant issue is represented by earthquake early warning emergency management. This research work presents the investigation development simple innovative geospatial methodology related collaborative open source tools for predicting mapping vulnerability to seismic hazard order support response planning disastrous events. proposed have...
Numerical models are instrumental to more effective flood forecasting and managementservices though they suffer from numerous uncertaintysources. An model calibration is hence essential. In this research work,a methodology of optimal sampling design has been investigated developed forwater drainage networks. Optimal hydrometer sensors locationsalong the Amato River (South Italy)have defined by optimizing a two-objective function that maximizes calibrated accuracy minimizesthe total metering...
COVID19 Pandemic impacts have been associated with Air Quality (AQ) its mortality index being significantly affected by high pollution levels. Significant mobility limitations contributed to slow down the pandemic in Italy having as a side effect definite decrease of Phase 2 while easing those limits still see significant reduction commuting and schools related car traffic emissions. High resolution AQ monitoring can now allow obtain picture if smart cities will be capable reach long sought...
The last decade has seen a significant growth in low-cost air quality monitoring systems (LCAQMS) adoption, mostly driven by the spatial density limitations of traditional regulatory grade networks which restrict their effectiveness several settings. EU's framework advise for deploying one unit per roughly 170,000 people or 15 square kilometers is insufficient capturing high spatio-temporal variance complex urban scenarios. Often these settings are characterized distributed...
The full exploitation of Composite Fiber Reinforced Polymers (CFRP) in so-called green aircrafts design is still limited by the lack adequate quality assurance procedures for checking adhesive bonding assembly, especially load-critical primary structures. In this respect, contamination CFRP panel surface significant concern since it may severely affect and mechanical properties joint. During last years, authors have developed tested an electronic nose as a non-destructive tool pre-bonding...
The high sensitivity of graphene to the adsorption/desorption gas molecule, is at very beginning its exploitation. This relies on two-dimensional nature allowing a total exposure all atoms adsorbing molecules, thus providing greatest sensor area per unit volume. Indeed several technological limits weigh synthesis and manipulation material for device fabrication. Herein simple approach fabricate conductometric sensors based chemically exfoliated natural graphite presented. devices were tested...
Artificial olfaction is an emerging application field for machine learning practitioners. In this paper, we propose a holistic approach to pattern classification in electronic noses applications. particular, show how results based on complete measurement cycle can be combined with assessment provided by real-time classifiers acting the single instantaneous sample. A running confidence measure allows obtaining fast and reliable outcomes. safety critical scenario has been selected testing of...
Air pollution is still one of the biggest environmental threats to human health on a global scale. In urban environments, exposure air largely influenced by activity patterns population as well high spatial and temporal variability in pollutant concentrations. Over last years, several studies have attempted better characterize variations concentrations within city deploying dense, fixed mobile, low-cost sensor networks more recently opportunistic sampling improving resolution quality models...