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...

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Bibliographic Details
Published in:The Professional geographer 2017-05, Vol.69 (2), p.239-250
Main Authors: Qiu, Xiaomin, Wu, Shuo-sheng
Format: Article
Language:English
Subjects:
atributos contextuales
contextual attributes
Data bases
DEM
Geographic informatino systems
Geographic information systems
GIS
mapa topográfico
modelos digitales de elevación (MDE)
SIG
sinkhole
Sinkholes
sumidero
topographic map
Topography
脉络属性, 数值高程模型, 地理信息系统, 落水洞, 地形图
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Summary: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.
ISSN:0033-0124
1467-9272
DOI:10.1080/00330124.2016.1229622