基于GP模型的坝库质量模拟（以扎延德湖坝库为例）

IF 3.4 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

International Journal of Environmental Science and Technology Pub Date : 2025-07-08 DOI:10.1007/s13762-025-06613-z

N. Varshabi, R. Moeini, S. R. Mousavizadeh

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引用次数: 0

摘要

本文采用遗传规划（GP）模型对扎延德鲁德水库出水口的温度和硝酸盐值进行了模拟和预测。首先，应用ce - quality - w2模型模拟2016年秋季至2021年夏末大坝水库的水质状况进行校准，2021年秋季至2022年夏末进行验证过程。此外，还采用遗传规划（GP）模型减少了仿真计算量，并将仿真结果与人工神经网络（ANN）模型进行了比较。对于GP温度模拟，训练和验证过程的最佳RMSE值分别为1.800和1.925°C，而ANN的相关值为1.405和1.932°C。此外，对于硝酸盐模拟GP，训练和验证过程的最佳RMSE值分别为0.383和0.536 mgL−1，而使用ANN模型的相关值分别为0.362和0.711 mgL−1。结果表明，GP模型在模拟大坝库区水质条件方面具有良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Quality simulation of dam reservoir using GP model (case study: ZayandehRoud dam reservoir)

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Quality simulation of dam reservoir using GP model (case study: ZayandehRoud dam reservoir)

In this research, temperature and nitrate values at the outlet of the ZayandehRoud dam reservoir are simulated and predicted using a genetic programming (GP) model. Initially, the CE-QUAL-W2 model is applied to simulate the water quality condition of the dam reservoir from autumn 2016 to the end of summer 2021 for calibration and from autumn 2021 to the end of summer 2022 for the validation process. In addition, the genetic programming (GP) model is also used to reduce the simulation computation costs, and the results are presented and compared with the artificial neural network (ANN) model. For temperature simulation using GP, the best RMSE values of the training and validation process are 1.800 and 1.925 °C, respectively, compared to related values of 1.405 and 1.932 °C using ANN. Furthermore, for nitrate simulation of GP, the best RMSE values of the training and validation process are 0.383 and 0.536 mgL⁻¹, respectively, compared to related values of 0.362 and 0.711 mgL⁻¹, respectively, using the ANN model. The results demonstrate the GP model’s good performance in simulating the dam reservoir’s quality conditions.

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来源期刊

International Journal of Environmental Science and Technology 环境科学-环境科学

CiteScore

5.60

自引率

6.50%

发文量

806

审稿时长

10.8 months

期刊介绍： International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management. A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made. The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.