利用Anfis模型估算河流流量缺失数据及Anfis数据集数量的确定:以Yeşilırmak河为例

IF 0.6 4区环境科学与生态学 Q4 ECOLOGY

Applied Ecology and Environmental Research Pub Date : 2018-03-12 DOI:10.20944/preprints201803.0084.v1

K. Saplioglu, Tülay Suğra Küçükerdem

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引用次数: 4

摘要

摘要:水利工程优化设计需要良好的数据分析能力。10但由于物质或技术原因，没有定期收集数据，导致11个数据不完整的问题。可用数据和数据长度对于解决这12个问题非常重要。关于缺失数据处理的研究有很多。本研究使用了土耳其Yeşilırmak河流量观测站的数据。在研究的第一部分中，我们使用ANFIS、多元15回归和正态比法生成了14个模型并进行了比较，以弥补缺失数据。在研究的第二部分，使用最优的ANFIS模型确定ANFIS模型所需的最小数据数16。在本研究中比较的所有方法中，ANFIS模型得出的结果最为准确。一个10年的训练集也被认为是足够的数据集。19

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Estimation of Missing Streamflow Data Using Anfis Models and Determination of the Number of Datasets for Anfis: The Case of Yeşilırmak River

Abstract: Good data analysis is required for the optimal design of water resources projects. 10 However, data are not regularly collected due to material or technical reasons, which results in 11 incomplete-data problems. Available data and data length are of great importance to solve those 12 problems. Various studies have been conducted on missing data treatment. This study used data 13 from the flow observation stations on Yeşilırmak River in Turkey. In the first part of the study, 14 models were generated and compared in order to complete missing data using ANFIS, multiple 15 regression and Normal Ratio Method. In the second part of the study, the minimum number of data 16 required for ANFIS models was determined using the optimum ANFIS model. Of all methods 17 compared in this study, ANFIS models yielded the most accurate results. A 10-year training set was 18 also found to be sufficient as a data set. 19

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来源期刊

Applied Ecology and Environmental Research ECOLOGY-ENVIRONMENTAL SCIENCES

CiteScore

1.40

自引率

14.30%

发文量

104

审稿时长

14 months

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