珠江河口磨刀门枯水期盐度统计模型
作者:
作者单位:

(1.上海市环境科学研究院,上海 200233;2.上海水环境模拟与水生态修复工程技术研究中心,上海 200233;3.长三角区域生态环境联合研究中心,上海 200233;4.华东师范大学河口海岸学国家重点实验室, 上海 200062;5.广东省水文局佛山分局,广东 佛山 528000)

作者简介:

王彪(1983—),男,高级工程师,博士,主要从事水环境保护研究。E-mail: wangbiao5134@126.com

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中图分类号:

P341

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Salinity statistical model for Modaomen of Pearl River Estuary during dry season
Author:
Affiliation:

(1.Shanghai Academy of Environmental Sciences,Shanghai 200233, China;2.Shanghai Engineering Research Center of Water Environment Simulation and Ecological Restoration,Shanghai 200233, China;3. Yangtze River Delta Joint Research Center for Ecology and Environment,Shanghai 200233,China;4.State Key Laboratory of Estuarine and Coastal Research of East China Normal University,Shanghai 200062,China;5. Foshan Substation of Guangdong Hydrographic Office,Guangdong 528000,China)

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    摘要:

    基于潮汐和径流两个影响河口盐水入侵的主要动力因子,通过分离短时间尺度潮汐变化和长时间尺度径流变化对盐水入侵的不同影响,采用最小二乘拟合法建立了枯水期磨刀门盐度与潮汐、径流的统计模型,并通过滤去径流影响对模型进一步修正,建立了修正盐度统计模型。模型计算值与实测值对比结果表明:构建的盐度统计模型和修正盐度统计模型能反映珠江河口磨刀门枯水期日特征盐度的变化过程;盐度统计模型总体均值相对误差23.4%,修正盐度统计模型总体均值相对误差2.1%,说明修正盐度统计模型精度高于盐度统计模型,具有较好的实用性。

    Abstract:

    As tide and runoff are two main dynamic factors of saltwater intrusion in estuary, a salinity statistical model for Modaomen during dry season was established using the least square fitting method, considering different effects of short-time scale tidal range variation and long-time scale runoff variation on saltwater intrusion. Then the model was further improved through filtering the runoff influence, and a revised salinity statistical model was developed. The comparison of measured values with calculated values of statistical models shows that both the salinity statistical model and the revised salinity statistical model can reflect the temporal variation of daily characteristic salinity in Modaomen of the Pearl River Estuary during the dry season. The relative error of mean salinity from the statistical model is about 23.4%, while that of the revised one is about 2.1%, indicating that the revised salinity statistical model has a higher precision, therefore it has better practicability.

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王彪,朱建荣,吕爱琴.珠江河口磨刀门枯水期盐度统计模型[J].水资源保护,2023,39(1):42-48.(WANG Biao, ZHU Jianrong, LYU Aiqin. Salinity statistical model for Modaomen of Pearl River Estuary during dry season[J]. Water Resources Protection,2023,39(1):42-48.(in Chinese))

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  • 收稿日期:2021-10-12
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  • 在线发布日期: 2023-01-21
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