Search results for "Environmental Data"
showing 10 items of 21 documents
Proposal of a Geographic Information System for modeling zoonotic fasciolosis transmission in the Andes
2004
ABSTRACT The present study describes the basis for the development of a Geographic Information System(GIS) for conducting an epidemiological analysis of human and animal fasciolosis in the Andes. Themethodology proposes the use of various data bases - those derived from epidemiologicalmutidisciplinary studies and environmental data derived from terrestrial stations and remote sensing. Key words : Fasciola hepatica, fasciolosis transmission, Andes, geographic information system,model. INTRODUCTIONOver the last decade, the importance of humanand animal fasciolosis in various south Americancountries has been emphasized in the scientificliterature 1-5 ; indeed, human infection by Fasciolahepati…
From point to area: Upscaling approaches for Late Quaternary archaeological and environmental data
2014
Abstract The study of past socio-environmental systems integrates a variety of terrestrial archives. To understand regional or continental socio-environmental interactions proxy data from local archives need to be transferred to larger spatial scales. System properties like spatial heterogeneity, historical and spatial contingency, nonlinearity, scale dependency or emergence make generalizations from local observations to larger scales difficult. As these are common properties of natural and social systems, the development of an interdisciplinary upscaling framework for socio-environmental systems remains a challenge. For example, the integration of social and environmental data is often hi…
Empirical Orthogonal Function and Functional Data Analysis Procedures to Impute Long Gaps in Environmental Data
2016
Air pollution data sets are usually spatio-temporal multivariate data related to time series of different pollutants recorded by a monitoring network. To improve the estimate of functional data when missing values, and mainly long gaps, are present in the original data set, some procedures are here proposed considering jointly Functional Data Analysis and Empirical Orthogonal Function approaches. In order to compare and validate the proposed procedures, a simulation plan is carried out and some performance indicators are computed. The obtained results show that one of the proposed procedures works better than the others, providing a better reconstruction especially in presence of long gaps.
Predicting effective aquaculture in subtropical waters: A dynamic energy budget model for the green lipped mussel, Perna viridis
2018
Abstract The green lipped mussel, Perna viridis, is an important aquaculture species throughout the Indo-Pacific region where production is often impacted by environmental degradation. To predict the impacts and mitigate against environmental problems due to various kinds of anthropogenic pollution, such as heavy metals and eutrophication, on P. viridis aquaculture a Dynamic Energy Budget (DEB) model was constructed. By integrating species-specific parameters and regional-specific environmental data the DEB model determined how the life history traits of P. viridis respond to changing environmental conditions. Using various levels of basal maintenance costs and food availability to elucidat…
Monitoring the urban environment: developing a mixed (fix and mobile) observatory on the urban quality control
2005
An integrated network of monitoring was developed by the authors from 2002. A wide knowledge of the space and time distribution of the environmental data can be acquired integrating the network of fixed stations (were each environmental parameter is collected) with a number of sensors installed on public transport means (were, at the present time, only some parameters are collected). All citizens of the involved local governments will benefit from an increased awareness of environmental quality and their effects on health. The system could be considered as a decision support system and a tool of knowledge dissemination. The aims of the system is to define a standard protocol for monitoring …
Adaptable data models for scalable Ambient Intelligence scenarios
2011
In most real-life scenarios for Ambient Intelligence, the need arises for scalable simulations that provide reliable sensory data to be used in the preliminary design and test phases. This works present an approach to modeling data generated by a hybrid simulator for wireless sensor networks, where virtual nodes coexist with real ones. We apply our method to real data available from a public repository and show that we can compute reliable models for the quantities measured at a given reference site, and that such models are portable to different environments, so as to obtain a complete, scalable and reliable testing environment.
SESAMO: An integrated framework for gathering, managing and sharing environmental data
2016
ICT systems are widely adopted for environmental management, but existing solutions address limited tasks and compose a plethora of heterogeneous tools, which impose a great additional effort on the operators. This work presents SESAMO, a novel framework to provide the operators with a unique tool for gathering, managing and merging environmental and territorial data. SESAMO uses WSNs for providing pervasive monitoring of environmental phenomena and exploits a multi-tier infrastructure in order to integrate data coming from heterogeneous information sources.
Recent advances in space-time statistics with applications to environmental data: An overview
2003
[1] This paper introduces a special section based on general environmental scientific problems, with a particular focus on using atmospheric data. All the papers and authors provide the methodology to study, analyze, predict, and evaluate the spatial-temporal behavior and the complicated spatial-temporal structure of the data. The overall aim is to present up-to-date developments in spatial and spatiotemporal statistics in the field of the atmosphere, to present on-going research, and to discuss important problems to be addressed in the near future.
Open challenges in environmental data analysis and ecological complex systems (a)
2020
Abstract This letter focuses on open challenges in the fields of environmental data analysis and ecological complex systems. It highlights relations between research problems in stochastic population dynamics, machine learning and big data research, and statistical physics. Recent and current developments in statistical modeling of spatiotemporal data and in population dynamics are briefly reviewed. The presentation emphasizes stochastic fluctuations, including their statistical representation, data-based estimation, prediction, and impact on the physics of the underlying systems. Guided by the common thread of stochasticity, a deeper and improved understanding of environmental processes an…
A survey on the microclimate in Palermo city using the public transport system
2006
This work presentes the results of an extensive survey on the microclimate in Palermo city using the public transport system