Using the Particle Swarm Optimization (PSO) Algorithm for Baseflow Separation and Determining the Trends for the Yesilirmak River (North Turkey)

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-01-01 DOI:10.3103/s1068373924010060

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Abstract

Estimation of baseflow is a complex hydrographic task. Baseflow techniques and coefficients vary from basin to basin, stream to stream, and year to year. In this study, meta-heuristic optimization is used to automatically identify baseflow. The Particle Swarm Optimization (PSO), a meta-heuristic optimization approach, is chosen. The constraint and cost functions were determined using the PSO algorithm, Lyne and Hollick techniques, and a computer application. Over the period 1980–2015, the data were collected at the Kale station in the Yesilirmak River basin to validate the study model. The results show that the hydrographs and baseflow dividing line were separated effectively. It has also been revealed that the PSO has a high speed as well as a high level of precision. In the research, in addition to the baseflow separation, the hydrograph, baseflow, and ratio of the baseflow to the streamflow at the station No. 1402 were assessed using the Mann–Kendall test and Innovative Trend Test (ITA), and as a result, their trends have been found. By the use of both of these methods, it has been shown that all parameters have an unfavorable trend. In addition, the research came to some other significant conclusions, such as the fact that the baseflow declines in tandem with the flow values and that the baseflow rates are low in years with high peak values of the hydrograph.

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使用粒子群优化（PSO）算法分离基流并确定耶希尔河（土耳其北部）的变化趋势

摘要基流估算是一项复杂的水文工作。基流技术和系数因流域、溪流和年份而异。本研究采用元启发式优化来自动识别基流。选择了粒子群优化（PSO）这种元启发式优化方法。利用 PSO 算法、Lyne 和 Hollick 技术以及计算机应用程序确定了约束函数和成本函数。收集了 1980-2015 年期间耶希尔河流域卡莱站的数据，以验证研究模型。结果表明，水文图和基流分界线得到了有效分离。此外，还发现 PSO 具有高速度和高精度的特点。在研究中，除了基流分离外，还使用 Mann-Kendall 检验和创新趋势检验（ITA）评估了第 1402 号站的水文图、基流和基流与河水流量的比值，结果发现了它们的趋势。这两种方法的使用表明，所有参数都有不利的趋势。此外，研究还得出了其他一些重要结论，如基流与流量值同步下降，以及在水文图峰值较高的年份基流率较低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.