Special Issue "Assessment, Management, and Policy-Making for Environmental Pollution Related to Land Use and Land Cover"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (30 April 2014)
Prof. Dr. Yu-Pin Lin
Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 40617, Taiwan
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Interests: spatial statistics and modeling in environmental and ecological systems; applications of GIS and remote sensing in environmental and ecological systems; freshwater monitoring and modeling; optimal environmental monitoring network design; landscape ecology in land-use management and planning; ecohydrology; groundwater modeling; land-use planning and modeling; soil heavy metal pollution assessment; multiscale analysis in environmental and ecological systems; system dynamic modeling in environmental systems; ecosystem services; system dynamic modeling; optimization techniques
Environmental pollution and disaster in soil, air, and water involves complex interaction among natural and anthropogenic causes. Among the obtainable geographic data, land use and land cover reflect a major part of land-surface activity, and are generally considered to contribute greatly to the variability of environmental pollution or disaster. Characterizing the mechanism that links the risk of exposure of pollution or disaster to land use and land cover distribution, could significantly facilitate the formulation of environmental action strategies and public health policy.
Relating environmental pollution or disaster to land-surface parameters effectively informs researchers by (1) quantifying the variability of pollutant or disaster (2) improve estimates/simulation of the risk and exposure of pollutant or disaster; and (3) promote epistemic understanding for the environmental and health risks for humans by scientific reasoning between the pollution or the disaster and land-surface parameters. In recent years, various methods have been widely applied in studies of environmental pollution or disaster relating to land-surface parameters, in order to characterize its behavior and risks that lead to public-health problems and socio-economic impact. Accordingly, this special issue focuses on data acquiring/retrieval, application of qualitative/quantitative models, and epistemic/ontological reasoning that relates environmental pollution or disaster and risk assessment to the description of land cover and management/policy-making of land use. Research papers on concise and novel techniques that encompass current developments of such studies are particularly welcome.
Prof. Dr. Yu-Pin Lin
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed Open Access monthly journal published by MDPI.
- land use policy and management for environmental pollution or disaster
- models and approaches for environmental pollution or disaster and land use management
- anthropogenic and urbanization impacts on air, soil and water quality
- quantitative characteristics of land use, pollutions, disasters and public health
- decision support systems for environmental pollution, disaster and management