Suppr超能文献

遗传算法在土耳其格迪兹河流域水质监测网络优化中的应用

Genetic algorithm usage in water quality monitoring networks optimization in Gediz (Turkey) river basin.

作者信息

Icaga Yilmaz

机构信息

Technical Education Faculty, Afyon Kocatepe University, Ahmet Necdet Sezer Campus, Afyon, Turkey.

出版信息

Environ Monit Assess. 2005 Sep;108(1-3):261-77. doi: 10.1007/s10661-005-4328-z.

Abstract

Selection procedure of the optimum station combination for decreasing the station number from 33 to 14 in water quality monitoring network of Gediz river basin was applied using an optimization method. Gediz basin is one of the important basins and it covers 2.3% of the total surface area of Turkey. The technique includes two stages as the data preparation and the optimization. In the data preparation stage, firstly, alternative station combinations decreased and then station combination scores obtained from assigned selection criteria for point and nonpoint pollution management objectives. Finally, genetic algorithm applied to select the best combination. The results were compared with a prior solution that used dynamic programming as the optimization technique.

摘要

采用一种优化方法,对杰迪兹河流域水质监测网络中站点数量从33个减少到14个的最佳站点组合选择程序进行了应用。杰迪兹流域是重要流域之一,占土耳其总面积的2.3%。该技术包括数据准备和优化两个阶段。在数据准备阶段,首先减少备选站点组合,然后根据为点源和非点源污染管理目标指定的选择标准获得站点组合得分。最后,应用遗传算法选择最佳组合。将结果与使用动态规划作为优化技术的先前解决方案进行了比较。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验