Assessment of Water Resources Security in Karst Area Based on Artificial Neural Network
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    [Objective] Water resource security was evaluated to provide scientific basis for water environment management and sustainable development in Karst area.[Methods] A case study of Guizhou Province in karst was carried out and an evaluation index system of water resources security was established. The BP artificial neural network model was constructed to evaluate the water resources securities of 9 cities in Guizhou Province, and the results were compared with entropy weight matter element model.[Results] Water resource securities of 9 cities were evaluated in Guizhou Province, among which two cities were assessed at relatively safe level, six cities at general level, and one city at relatively unsafe level. The evaluation results were basically the same to the results of the entropy weighted matter element model. [Conclusion] The results are reasonable and the method is simple and intuitive. The model has certain reference value for similar areas of water resources security evaluation.

    Reference
    Related
    Cited by
Get Citation

刘丽颖,官冬杰,杨清伟,苏维词.基于人工神经网络的喀斯特地区水资源安全评价[J].水土保持通报英文版,2017,37(2):207-214

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 13,2016
  • Revised:June 01,2016
  • Adopted:
  • Online: May 10,2017
  • Published: