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Quantitative design and analysis of marine environmental monitoring networks in coastal waters of China

机译：中国沿海水域海洋环境监测网的定量设计与分析

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摘要

The quality of seawater needs to be continuously monitored due to its effect on human life and natural ecosystems. However, the balance of the extent, spatial pattern and maintenance costs of marine environmental monitoring remains a challenging issue which is crucial for decision-makers. The main contribution of this work suggests taking advantage of two minimization criteria (TMC: integrating minimization of Kriging variance and minimization of relative error at a given confidence level) to improve the design and optimization of a marine environmental monitoring network. To achieve this purpose, the spatial simulated annealing (SSA) method is applied to identify the best locations for monitoring network optimization. For the case study, phosphate (PO4) is used as an indicator to characterize the seawater quality in northern coastal waters of Zhejiang Province, China. The 122 existing sites have redundancies (about 78 sites) that can be effectively identified and removed to reduce costs with the given relative error (less than 10%) and confidence level (95%). Some new sites can be added and adjusted to improve the quality of costal environmental monitoring based on quantitative analysis. In addition, the relationship between the number of the monitoring sites and monitoring precision is analyzed. The results suggest that the present method using TMC can provide a scientific basis for marine environmental monitoring and management.
机译：由于其对人类生活和自然生态系统的影响，需要不断监测海水的质量。但是，海洋环境监测的范围，空间格局和维护成本之间的平衡仍然是一个具有挑战性的问题，对决策者而言至关重要。这项工作的主要贡献是建议利用两个最小化标准（TMC：在给定的置信度下集成Kriging方差的最小化和相对误差的最小化）来改进海洋环境监测网络的设计和优化。为实现此目的，应用了空间模拟退火（SSA）方法来确定监视网络优化的最佳位置。在案例研究中，磷酸盐（PO4）被用作表征中国浙江省北部沿海水域海水质量的指标。现有的122个站点具有冗余（大约78个站点），可以在给定的相对误差（小于10％）和置信度（95％）的情况下有效地识别和删除这些冗余以降低成本。可以添加和调整一些新站点，以提高基于定量分析的沿海环境监测的质量。另外，分析了监视站点数量与监视精度之间的关系。结果表明，目前使用TMC的方法可以为海洋环境监测和管理提供科学依据。

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  • 来源
    《Marine pollution bulletin》 |2019年第6期|144-151|共8页
  • 作者

    Bian Xiaolin; Li Xiaoming; Qi Ping; Chi Zhenghao; Ye Ran; Lu Siwen; Cai Yanhong;

  • 作者单位

    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China|Deqing Acad Satellite Applicat, Lab Target Microwave Properties, Huzhou 313000, Zhejiang, Peoples R China;

    State Ocean Adm, Beijing 100860, Peoples R China;

    Marine Environm Monitoring Ctr Tianjin, Tianjin 300457, Peoples R China;

    State Ocean Adm, Beijing 100860, Peoples R China;

    Marine Environm Monitoring Ctr Ningbo, Ningbo 315012, Zhejiang, Peoples R China;

    Marine Environm Monitoring Ctr Ningbo, Ningbo 315012, Zhejiang, Peoples R China;

    Marine Environm Monitoring Ctr Ningbo, Ningbo 315012, Zhejiang, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Kriging variance; Network optimization; Seawater quality; Spatial sampling; Spatial simulated annealing;

    机译：Kriging方差;网络优化;海水水质;空间采样;空间模拟退火;

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