A Knowledge-Based Computerized Approach to the Development of a Sinkhole Database
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.
Geography, Geology, and Planning
contextual attributes, DEM, GIS, sinkhole, topographic map
Qiu, Xiaomin, and Shuo-sheng Wu. "A Knowledge-Based Computerized Approach to the Development of a Sinkhole Database." The Professional Geographer 69, no. 2 (2017): 239-250.
The Professional Geographer