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首页> 外文期刊>Estuarine Coastal and Shelf Science >Modelling dissolved oxygen and benthic algae dynamics in a coastal ecosystem by exploiting real-time monitoring data
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Modelling dissolved oxygen and benthic algae dynamics in a coastal ecosystem by exploiting real-time monitoring data

机译：利用实时监测数据对沿海生态系统中的溶解氧和底栖藻类动力学进行建模

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摘要

In this work we propose a methodological approach for the detection and simulation of relevant changes in coastal ecosystems, i.e. oxygen depletion and proliferation of benthic algae. This approach is based on the integration of the data provided by real-time monitoring systems with the output of complex ecosystem models. We tested the method in a case study, where real-time Dissolved Oxygen (DO) data and a 2D Reaction-Transport model were used to simulate the growth of macroalgae and the daily dynamics of DO in the Lagoon of Venice (Italy). The spatiotemporal relationships among the macroalgae distribution and the DO observations were quantified by analysing and comparing the Dissolved Oxygen time series and model outputs. The outcomes were used for the inverse estimation of the initial, i.e. late winter, biomass of macroalgae. The model was then applied to simulate the growth of macroalgae and the daily dynamic of DO during the productive (i.e., spring and summer) seasons. The comparison between the model output and the real-time data indicates that the model had skill in simulating the short term (daily) DO dynamic at several lagoon sites impacted by macroalgae proliferation. The simulated intra-daily variability of Dissolved Oxygen is significantly correlated with the observations in half of the monitoring sites, as well the simulated algal growth, which resulted comparable with the field measurements. The estimated average value of macroalgae biomass was ~1 kgfw m~(-2) in 2007, which is consistent with a good to moderate quality status of the Lagoon of Venice. The proposed methodology can be useful in the assessment of the environmental status of coastal ecosystems as required by recent national and international legislation.
机译：在这项工作中，我们提出了一种方法方法来检测和模拟沿海生态系统的相关变化，即氧气消耗和底栖藻类的扩散。该方法基于实时监控系统提供的数据与复杂生态系统模型输出的集成。我们在一个案例研究中对该方法进行了测试，其中使用了实时溶解氧（DO）数据和2D反应迁移模型来模拟威尼斯泻湖（意大利）中大型藻类的生长和DO的每日动态。通过分析和比较溶解氧时间序列和模型输出来量化大型藻类分布和DO观测值之间的时空关系。该结果用于初始（即冬季末）大型藻类生物量的逆估计。然后将该模型应用于模拟生产旺季（春季和夏季）期间大型藻类的生长和溶解氧的每日动态。模型输出与实时数据之间的比较表明，该模型具有模拟受大型藻类繁殖影响的几个泻湖位置的短期（每天）DO动态的技能。模拟的溶解氧的日内变异性与一半监测点的观测值以及模拟的藻类生长显着相关，其结果与现场测量结果相当。 2007年大型藻类生物量的估计平均值约为1 kgfw m〜（-2），与威尼斯泻湖的良好至中等质量状态相符。根据最近的国家和国际法规的要求，所提出的方法可用于评估沿海生态系统的环境状况。

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  • 来源
    《Estuarine Coastal and Shelf Science》 |2013年第1期|17-30|共14页
  • 作者

    T. Lovato; S. Ciavatta; D. Brigolin; A. Rubino; R. Pastres;

  • 作者单位

    Centro Euro-Mediterraneo sui Cambiamenti Climatici, Via Aldo Mow 44,1-40127 Bologna, Italy ,Department of Environmental Sciences, Informatics and Statistics, Universita Ca' Foscari Venezia, Dorsoduro 2137,1-30123 Venezia, Italy;

    Plymouth Marine Laboratory, Prospect Place, Plymouth PLI 3DH, UK;

    Department of Environmental Sciences, Informatics and Statistics, Universita Ca' Foscari Venezia, Dorsoduro 2137,1-30123 Venezia, Italy;

    Department of Environmental Sciences, Informatics and Statistics, Universita Ca' Foscari Venezia, Dorsoduro 2137,1-30123 Venezia, Italy;

    Department of Environmental Sciences, Informatics and Statistics, Universita Ca' Foscari Venezia, Dorsoduro 2137,1-30123 Venezia, Italy;

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  • 正文语种 eng
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  • 关键词

    Dissolved Oxygen; coastal eutrophication; real-time monitoring networks; Reaction-Transport model; Lagoon of Venice;

    机译：溶解氧沿海富营养化实时监控网络;反应运输模型;威尼斯泻湖;

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