采用BP神经网络模型对东北地区水库水水质的预测研究 |
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作者姓名: | 魏恒 李伟光 张树冬 王广智 |
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作者单位: | 1. 宁波市自来水总公司,浙江 宁波 315040;哈尔滨工业大学市政环境工程学院,黑龙江 哈尔滨 150090 2. 哈尔滨工业大学市政环境工程学院,黑龙江 哈尔滨,150090 |
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基金项目: | 国家科技支撑计划重点项目 |
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摘 要: | 采用BP神经网络建立了东北地区某水库水的浊度预测模型,同时针对该水库的地域特点,重点研究了冰封期对水源水水质预测的影响。结果表明,以浊度为预测对象,将水库的水质数据按照是否进入冰封期进行划分后建模,预测效果比划分之前有较明显的提高。
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关 键 词: | BP神经网络 水质预测 冰封期 浊度 |
Prediction of reservoir water quality in Northeast China with BP neural network model |
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Authors: | Wei Heng Li Weiguang Zhang Shudong Wang Guangzhi |
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Affiliation: | 1.Ningbo Water Supply General Company;Ningbo 315040;China;2.School of Municipal & Environmental Engineering;Harbin Institute of Technology;Harbin 150090;China |
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Abstract: | Turbidity prediction model for the reservoir water in Northeast China with BP neural network was set up,at the same time the effect of ice-covered season on water quality prediction of water source was studied based on the characteristics of this area.The result showed that the efficiency of prediction was improved significantly after water quality data were divided according to ice-covered season and the establishment of the model. |
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Keywords: | BP neural network water quality prediction ice-covered season turbidity |
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