基于GIS和人工神经网络的区域水资源压力评价模型及其验证  

Evaluation Model and Verification of Regional Water Resource Stress Based on GIS and Artificial Neural Network

作　　者：吴璞周[1] 卫海燕[1] 

机构地区：[1]陕西师范大学 旅游与环境学院,陕西西安710062

出　　处：《水土保持通报》2007年第6期160-164,共5页Bulletin of Soil and Water Conservation

基　　金：国家自然科学基金(40271037);陕西省自然科学基金(2004D10);陕西师范大学研究生培养创新基金

摘　　要：水资源是一种战略性资源,对于区域的生态环境安全和可持续发展具有重要意义。运用GIS二次开发技术,建立了区域水资源管理信息系统。系统包括数据管理子系统、模型库子系统和水资源管理子系统。基于人工神经网络的区域水资源压力评价模型被集成在模型库子系统中,该模型通过水资源压力指数来定量地反映区域水资源状况与区域人口、经济、环境之间的关系是否协调。分别以整个陕西省和陕西省各地市的水资源压力评价为例,对该系统模型进行了验证。结果表明,基于GIS和人工神经网络的区域水资源压力评价模型具有理论上的可行性和现实意义。最后探讨了基于GIS和人工神经网络的区域水资源压力评价模型的应用前景。Water resources are a kind of strategic resources and have the vital significance to the regional ecological environment security and sustainable development. This paper utilizes the GIS secondary development technologies to set up an information system for regional water resource management, which includes data management subsystem, model base subsystem, and water resource management subsystem. Evaluation model of regional water resource stress based on the artificial neural network belongs to the model base subsystem and it quantitatively reflects the coordinated degree between regional water resource conditions and regional population, economy, and environment by the water resource stress index. The model is then validated by the case studies for the whole Shaanxi Province and cities in the province. The result proves that it has theoretical feasibility and realistic significance. Its application and the development foreground are discussed finally.

关 键 词：GIS 人工神经网络 水资源压力 陕西省 

分 类 号：F323.213[经济管理—产业经济]