GIS Development for Environmental Hazard Management Based on Gridding Management

Authors

    Authors

    Z. L. Liao; Z. X. Xu; Y. X. Li; D. B. Wang;M. J. Borrebach

    Comments

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    Abbreviated Journal Title

    J. Environ. Inform.

    Keywords

    environmental hazard management; geographic information system; gridding; management; emergency plan; risk management; INTEGRAL RISK INDEX; SYSTEM; PREDICTION; Environmental Sciences

    Abstract

    Due to the economic growth in China in recent years, the frequency of sudden environmental events has increased. As a result, Environmental Hazard Management (EHM) becomes important when mitigating such events. Geographic Information System (GIS) has been widely used for EFIM both domestic and abroad, and while the studies usually focus on how to develop GIS, there has been little research on the linkage between GIS and EHM. In this paper, we propose GIS development for EHM based on Gridding Management (GM), i.e. the integration of EHM and GIS through GM. First, we will introduce the principles of GM for EHM, followed by the procedures of system development. Based on these principles, a prototype of GIS for EHM is developed for a highly urbanized district of Shanghai in which the management area is divided into appropriate grids. Each grid is supervised by a specific person, and all environmental hazard sources, sensitive objects, and other resources and information are coded geographically. After these steps, grid querying is implemented. Through a hypothetical scenario, the effectiveness of this methodology is tested and can help avoid some phenomena in traditional EHM, including separation of corporate and government El-IM, neglecting surroundings information, overlaps or blind areas, no supervision or assessment, and no permanent mechanisms. We think this study is a useful probe into effective linkage between GIS and EHM.

    Journal Title

    Journal of Environmental Informatics

    Volume

    17

    Issue/Number

    2

    Publication Date

    1-1-2011

    Document Type

    Article

    Language

    English

    First Page

    83

    Last Page

    90

    WOS Identifier

    WOS:000292279200004

    ISSN

    1726-2135

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