A Knowledge-Based Computerized Approach to the Development of a Sinkhole Database

Abstract

This study proposes a knowledge-based, computerized method to develop an initial sinkhole database as a basis for subsequent field investigation to improve on the established database. The knowledge-based data analysis represents sinks (i.e., topographic depressions) as isolines and associates them with contextual land use, land cover, and hydrologic information relevant to potential sinkhole hazard. Sinks of high priority for subsequent field investigation are identified based on combinations of contextual attributes. The proposed methodology for knowledge-based development of a preliminary sinkhole database is valuable for hazard planning and management.

Department(s)

Geography, Geology, and Planning

Document Type

Article

DOI

https://doi.org/10.1080/00330124.2016.1229622

Keywords

contextual attributes, DEM, GIS, sinkhole, topographic map

Publication Date

2016

Journal Title

The Professional Geographer

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