基于Levenberg-Marquardt算法的水环境评价研究——以南四湖为例
The Study of Water Environment Evaluation Based on Levenberg-Marquardt Algorithm——Taking Nansi Lake Drainage Basin for Example
  
DOI:
中文关键词:  南四湖  水环境评价  神经网络  LMBP  
英文关键词:Nansi lake  Water envionment evaluation  Neural network  LMBP  
基金项目:山东省科技发展计划项目(2006GG2308005)
崔健  于明洋  徐秋晓
山东建筑大学土木工程学院;山东师范大学人口·资源与环境学院;山东省地矿工程勘察院;
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中文摘要:
      南四湖是山东省重要的水源地之一,随着经济建设的高速发展,南四湖水污染问题尤为突出,对本地区能源基地的建设和区域经济可持续发展产生重大制约影响。对南四湖进行合理、有效的水环境综合评价以供治理及决策已刻不容缓。笔者采用污染指数算法与LMBP神经网络算法,利用3S技术对南四湖的11个主要监测站点的水环境进行总体评价、空间分析及对比计算,探讨了LMBP神经网络算法在评价水质方面的可应用性。
英文摘要:
      Nansi Lake is one of the important water resources in Shandong Province.With the rapid development of economic construction,especially water pollution problem has significant constraining effect to region's energy base construction and regional sustainable economic development.It is essential to take reasonable and effective comprehensive evaluation of water environment management in order to management and decision.We used pollution index algorithm and LMBP algorithm,combined with 3S technology,to evaluate...
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