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生态学杂志 ›› 2010, Vol. 29 ›› Issue (11): 2302-2308.

• 方法与技术 • 上一篇    

基于SOFM网络的生态水文区划

王韶伟1,2,许新宜1, 陈海英1|2,王红瑞1   

  1. 1北京师范大学水科学研究院| 水沙科学教育部重点实验室|北京 100875;2环境保护部核与辐射安全中心| 北京 100082
  • 出版日期:2010-11-08 发布日期:2010-11-08

Eco-hydrological regionalization based on SOFM artificial neural network.

WANG Shao-wei1|2, XU Xin-yi1, CHEN Hai-ying1|2, WANG Hong-rui1   

  1. 1Key Laboratoryof Water &|Sediment Sciences Education of Ministry, College of Water Science, Beijing Normal University, Beijing 100875, China;2Nuclear and Radiation Safety Center, Ministry of Environmental Protection, Beijing 100082, China
  • Online:2010-11-08 Published:2010-11-08

摘要: 生态水文区划对缓解区域水资源开发利用和生态环境保护之间矛盾起到了重要作用。本文基于自组织特征映射(self-organizing feature map,SOFM)人工神经网络建立了生态水文区划模型。首先运用主成分分析法从众多生态水文指标中提取出能代表绝大部分信息的主成分指标;其次依据提取的主成分指标,利用系统聚类得到区域聚类谱系图;而后构建SOFM神经网络,依据网络结果和系统聚类谱系图,划分合理的生态水文区。以福建省泉州市为例进行了生态水文区划研究,将研究区划分为4类区域,各区域具有明显的生态水文特征,针对不同区域特征,提出了常规、加强、较为严格和最为严格4种生态环境保护和水资源开发策略。

关键词: 药用木本植物, 生态保护, 环境调控

Abstract: Eco-hydrological regionalization plays an important role in relaxing the contradiction between water resources development and eco-environment protection. Based on the theory of SOFM (self-organizing feature map) artificial neural network, this paper established an eco-hydrological regionalization model. Several integrated indices containing most original information were extracted from a large number of eco-hydrological indices by using principal component analysis (PCA), and on this basis, a cluster genealogy chart was obtained by hierarchical cluster analysis (HCA). Then, the SOFM artificial neural network was constructed to make a rational eco-hydrological regionalization. Taking Quanzhou City as an example, its eco-hydrology was regionalized. The city was regionalized into four eco-hydrological zones, and each of them had its distinct characteristics. Aiming at the different characteristics of each eco-hydrological zone, four strategic options (general, enhancive, strict, and strictest) were proposed to protect the eco-environment and develop the water resources.

Key words: Medicinal woody plants Ecological protection, Environmental regulation