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

被引：0

作者：

Wang B. ^{[1
,2
,3
]}

Zhu J. ^{[4
]}

Lyu A. ^{[5
]}

机构：

[1] Shanghai Academy of Environmental Sciences, Shanghai

[2] Shanghai Engineering Research Center of Water Environment Simulation and Ecological Restoration, Shanghai

[3] Yangtze River Delta Joint Research Center for Ecology and Environment, Shanghai

[4] State Key Laboratory of Estuarine and Coastal Research of East China Normal University, Shanghai

[5] Foshan Substation of Guangdong Hydrographic Office, Guangdong

来源：

Water Resources Protection | 2023年 / 39卷 / 01期

关键词：

Modaomen; Pearl River Estuary; runoff; salinity; saltwater intrusion; statistical model; tide;

D O I：

10.3880/j.issn.1004-6933.2023.01.006

中图分类号：

学科分类号：

摘要：

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. © 2023, Editorial Board of Water Resources Protection. All rights reserved.

引用

页码：42 / 48

页数：6

共 17 条

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