关键词: 地质环境, 评价系统, 可配置, 数据服务, 计算方法

Abstract:

Geological Environment Evaluation (GEE) is not only the necessary pre-condition to master the temporal-spatial distribution pattern and change trend of geological environment, but also the critical method for conducting the prevention & protection management work of geological environment. There are diverse evaluation indices and corresponding computing models for different thematic and purposeful GEE. Meanwhile, in the big data era, the geological environmental data are always characterized to be of multi-sources, heterogeneous formats and storage modes, as well as having diversified service patterns. As a result, the geological environment evaluation system (GEES) is necessary to meet the above changes and requirements. Firstly, this paper puts forward the concept model of GEE, and analyzes the general workflow of GEE. Secondly, the authors propose and design a configurable software method for GEES. Based on the core process of GEE, this method can configure not only the indices and their weights, but also the indices' data sources and data retrieving measures, indices' value dimensionless processing approach, the computing approach of evaluation value according to the evaluation spatio-temporal extent, as well as the classification and spatial visualization of the indices and evaluation results. Finally, with the support of geography information technology and Java programming language, a Configurable Geological Environment Evaluation System (C-GEES) is developed. It includes five logic tiers from the bottom up, i.e. the data tier, index tier and model tier as well as the function tier and service tier. Specially, the function tier is divided into two layers: one is the configuration layer which mainly implements the above mentioned configuration functions for system administrators, and the another is the application layer which provides lots of data querying and browsing, evaluation, and analysis functions for users. It provides the one-click or step-by-step GEE with different evaluation indices and application purposes. A verification test is conducted in Tangshan city of Hebei province, China. The result shows that C-GEES is good at configuration which makes it powerful in its expansibility and applicability.

Key words: geological environment, evaluation system, configurable management, data service, computing model