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Displaying 1011 - 1015 of 1605Spatial distribution of ultrafine particles in urban settings: A land use regression model
BACKGROUND: The toxic effects of ultrafine particles (UFP) are a public health concern. However, epidemiological studies on the long term effects of UFP are limited due to lacking exposure models. Given the high spatial variation of UFP, the assignment of exposure levels in epidemiological studies requires a fine spatial scale. The aim of this study was to assess the performance of a short-term measurement protocol used at a large number of locations to derive a land use regression (LUR) model of the spatial variation of UFP in Girona, Spain.
Ranking suitable sites for irrigation with reclaimed water in the Nabeul-Hammamet region (Tunisia) using GIS and AHP-multicriteria decision analysis
The present study describes an innovative methodology to rank suitable sites for irrigation with TWW using fuzzy-AHP based on GIS where the Nabeul-Hammamet aquifer catchment (Tunisia) is selected as the target area. The model is relatively simple and is extendable worldwide. Several influential parameters are identified considering simultaneously technical, social, economical and environmental aspects. They are grouped in five main criteria, namely land suitability for irrigation, resources conflicts, cost effectiveness, social acceptance and environmental impact.
ecosystem service valuation of land use change in Taiyuan City, China
Urban sprawl and a policy of converting farmland to woodland and grassland in the fragile ecological environments of the Loess Plateau of China can cause complex land use changes that significantly affect ecosystem services and functions. This study investigated changes in ecosystem services in response to land use changes caused primarily by human activities in Taiyuan City, the capital of Shanxi Province. Our aim was to provide guidance for sustainable urban development in fragile ecological environments undergoing rapid urbanization.
Artificial Intelligence in modelling the complexity of Mediterranean landscape transformations
In this paper, it is shown how a system can be created by using methods of Artificial Intelligence, designated (a) to provide the user with information about the transformations of Mediterranean-type landscapes in an interactive way, (b) to allow the modelling of causes and effects of landscape transformations (such as land degradation) and (c) to forecast future landscape changes. The system consists of programs, which run independently. Each module performs a certain task only and contributes to the modelling of landscape transformations in a different way.
Phenological dynamics of irrigated and natural drylands in Central Asia before and after the USSR collapse
Central Asia has experienced drastic socio-economic, geopolitical, and ecological transitions within the last few decades. The USSR collapse in 1991 has led to widespread changes in land cover and land use due to economic and political transformations within the region. Management practices during and after the Soviet era have intensified ecological problems and demands on resources.