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Articles

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

Pages 239-250
Received 01 Feb 2016
Accepted 01 Jun 2016
Published online: 20 Oct 2016
 

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.

本研究提出一个以知识为基础且可计算机化的方法, 以建立最初的落水洞数据, 作为后续的田野调查之基础, 以改进建立的数据库。以知识为基础的数据分析, 将沉陷 (例如地形凹陷) 呈现作为等位线, 并将其与潜在的落水洞灾害有关的脉络土地使用、土地覆盖和水文信息进行连结。本文根据脉络属性的结合, 指认后续田野研究应优先针对的落水坑。本文对以知识为基础建立初步落水坑数据所提出之方法, 对于灾害规划和管理具有价值。

Este estudio propone un método computarizado, basado en conocimiento para desarrollar una base de datos de un sumidero inicial como fundamentación para una investigación de campo subsiguiente destinada a mejorar en la base de datos ya establecida. El análisis de datos basado en conocimiento representa los hundimientos (es decir, las depresiones topográficas) como isolíneas y las asocia con el uso del suelo, la cobertura de la tierra y la información hidrológica contextuales que sean relevantes en términos de los peligros potenciales del sumidero. Los hundimientos de alta prioridad para investigación de campo subsiguiente son identificados a partir de las combinaciones de atributos contextuales. La metodología propuesta para el desarrollo de una base de datos preliminar del sumidero basada en conocimiento es valiosa para la planificación y manejo de riesgos.

Additional information

Notes on contributors

Xiaomin Qiu

XIAOMIN QIU is an Associate Professor in the Department of Geography, Geology, and Planning at Missouri State University, Springfield, MO 65897. E-mail: . Her research interests include geovisualization, geostatistics, GIScience and health, GIScience education, spatial cognition, and hazard vulnerability.

Shuo-sheng Wu

SHUO-SHENG WU is a Geospatial Information Technician in the Department of Geography, Geology, and Planning at Missouri State University, Springfield, MO 65897. E-mail: . His research interests include land use and land cover classification and GIS and remote sensing applications.

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