| 基于SOM模型的珠江河口河网铊生态风险评估 |
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| 引用本文： | 蓝璇,利锋,张超,董汉英,杨清书,余明辉,文汝兵,杨玉洁.基于SOM模型的珠江河口河网铊生态风险评估[J].热带海洋学报,2021,40(3):132-142. |
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| 作者姓名： | 蓝璇 利锋 张超 董汉英 杨清书 余明辉 文汝兵 杨玉洁 |
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| 作者单位： | 1.华南理工大学土木与交通学院, 广东 广州 5106412.中山大学大气科学学院, 广东 珠海 5190823.中山大学海洋工程与技术学院, 广东 珠海 5190824.武汉大学水资源与水电工程国家重点实验室, 湖北 武汉 430072 |
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| 基金项目： | 国家重点研发计划(2016YFC0402604);广东省水利科技创新计划项目重点项目(2017-21) |
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| 摘 要： | 珠江三角洲地区铊浓度的研究对粤港澳大湾区水资源保障具有重大意义。本研究在珠江河口河网选取了11个断面, 分别于枯水期和丰水期的大小潮四个水文时段对其表、中、底层进行同步采样和监测。分析了珠江河口与河网中铊的暴露情况以及其时间和空间的分布, 采用自组织映射神经网络(self-organizing maps, SOM)基因表达聚类分析的方法对528个铊浓度监测数据进行拟合。此外, 本研究基于潜在生态风险评价方法, 选取相应的系数, 运用SOM模型, 对珠江河口河网铊的潜在生态风险进行评估。结果表明, 珠江河口与河网铊的暴露水平整体上较低, 铊的浓度在空间上呈现为磨刀门>石龙>马口>伶仃洋>虎门>三水, 而在时间上则表现为丰水期小潮>丰水期大潮>枯水期大潮>枯水期小潮。SOM聚类分析结果表明, 珠江河口河网整体上潜在生态风险属于较低水平, 各断面的潜在生态风险程度从高到低依次为磨刀门>马口>石龙>伶仃洋>虎门>三水。本研究表明SOM聚类分析方法适合于重金属污染物聚类分析。
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| 关 键 词： | 珠江河口河网 铊 SOM模型 生态风险 |
| 收稿时间： | 2020-06-16 |
| 修稿时间： | 2020-07-15 |
Ecological risk assessment of thallium in Pearl River Estuary and network based on the SOM model |
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| LAN Xuan,LI Feng,ZHANG Chao,DONG Hanying,YANG Qingshu,YU Minghui,WEN Rubing,YANG Yujie.Ecological risk assessment of thallium in Pearl River Estuary and network based on the SOM model[J].Journal of Tropical Oceanography,2021,40(3):132-142. |
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| Authors: | LAN Xuan LI Feng ZHANG Chao DONG Hanying YANG Qingshu YU Minghui WEN Rubing YANG Yujie |
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| Institution: | 1. School of Civil Engineering and Transportation of South China University of Technology, Guangzhou 510641, China2. School of Atmospheric Sciences of Sun Yat-sen University, Guangzhou 519082, China3. School of Marine Engineering and Technology of Sun Yat-sen University, Zhuhai 519082, China4. State Key Laboratory of Water Resources and Hydropower Engineering Science of Wuhan University, Wuhan 430072, China |
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| Abstract: | The study of thallium concentration in the Pearl River Delta is of great significance for water resources protection in the Guangdong-Hong Kong-Macao Greater Bay Area. The table, middle and bottom layers of 11 sections at the estuary and network of the Pearl River were simultaneously sampled and monitored during the four hydrological periods, including spring tide and neap tide of withered water period and high water period. The concentrations of thallium in different layers of the 11 sections were determined, and their temporal and spatial distribution were analyzed. The Self Organizing Maps (SOM) gene expression clustering analysis method was used to fit the 528 thallium monitoring data. In addition, based on the potential ecological risk evaluation method and selected corresponding coefficients, the potential ecological risk of thallium in the Pearl River Estuary and network was assessed by using the SOM model. The results show that the exposure level of thallium in the Pearl River Estuary and network is generally low. The order of thallium concentration are Modaomen > Silong > Makou > Lingdingyang > Humen > Sanshui and neap tide of high water period > spring tide of high water period > spring tide of withered water period > neap tide of withered water period. The SOM analysis results show that the potential ecological risks are overall low in the Pearl River Estuary and network with the order of Modaomen, Makou, Silong, Lingdingyang, Humen, and Sanshui. This study indicates that the SOM method is suitable for cluster analysis of heavy metal pollutants. |
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| Keywords: | Pearl River Estuary and network thallium SOM model ecological risk |
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