地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (10): 1341-1351.doi: 10.3724/SP.J.1047.2016.01341

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可配置地质环境评价系统研究与应用

喻孟良1,2(), 诸云强3,4,**(), 邢丽霞2, 郑跃军2, 罗侃3, 侯志伟3,5, 王东旭3,5   

  1. 1. 中国地质大学(武汉),武汉 430074
    2. 中国地质环境监测院,北京100081
    3. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
    4. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
    5.中国科学院大学,北京100049
  • 收稿日期:2015-10-09 修回日期:2015-11-06 出版日期:2016-10-25 发布日期:2016-10-25
  • 通讯作者: 诸云强 E-mail:yuml@mail.cigem.gov.cn;zhuyq@igsnrr.ac.cn
  • 作者简介:

    作者简介:喻孟良(1978-),男,博士生,高级工程师,贵州六枝人,研究方向为地质环境信息化。E-mail: yuml@mail.cigem.gov.cn

  • 基金资助:
    国土资源大调查项目(O9L90100AJ);科技基础性工作专项重点项目(2013FY110900);贵州省公益性基础性地质工作项目“贵州省岩溶地下水系统功能可持续利用性研究”;国家自然科学基金项目(41371381)

Research and Application of Configurable Geological Environment Evaluation System

YU Mengliang1,2(), ZHU Yunqiang3,4,*(), XING Lixia2, ZHENG Yuejun2, LUO Kan3, HOU Zhiwei3,5, WANG Dongxu3,5   

  1. 1. China Geoscience University (Wuhan), Wuhan 430074, China
    2.China Institute of Geological Environmental Monitoring, Beijing 100081, China
    3. State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    5. University of Chinese Academy of Sciences, Beijing 100049, China;
  • Received:2015-10-09 Revised:2015-11-06 Online:2016-10-25 Published:2016-10-25
  • Contact: ZHU Yunqiang E-mail:yuml@mail.cigem.gov.cn;zhuyq@igsnrr.ac.cn

摘要:

地质环境评价是掌握地质环境时空格局、变化趋势,开展地质环境防治保护管理工作的必要前提和重要手段。根据不同的应用目的,地质环境评价需采用不同的指标体系和数据,而且随着地质环境业务的发展,指标体系和数据也会不断扩展和变化。为了适应地质环境评价发展的需要,本文提出并研发了可配置的地质环境评价系统,该系统围绕地质环境评价核心过程,通过配置层可以对地质环境评价指标因子及权重、指标数据源及获取方法、指标评价计算方法,以及指标分级标准与空间可视化方法等多个环节进行灵活设置。与传统的地质环境评价软件相比,可避免地质环境评价指标或数据源发生变化时,需要重新进行软件编码、重新组织数据库等问题。唐山市应用实践表明,该系统具有良好的可配置能力、扩展性和应用性。

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