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评估沿海海洋污染监测结构,使用AHP-TOPSIS联合决策模型

Ding Liu¹, Meng Teng¹, Zhi Gong¹

¹School of Computer Science and Engineering, Hunan University of Information Technology, Changsha, 410151, China.

Marine pollution bulletin

|March 8, 2026

概括

基于物联网的水下传感器网络是监测沿海海洋污染的最佳选择,与其他系统相比,它提供了更好的检测和覆盖范围. 这项技术有助于保护海洋生物多样性和生态系统健康.

科学领域:

海洋污染海洋污染
生态系统监测生态系统监测
传感器网络是一个传感器网络.

背景情况:

沿海海洋污染通过污染物和垃圾威胁着生物多样性和生态系统服务.
及时检测和跟踪污染是有效管理的关键.
现有的传感器网络在性能,成本和稳定性方面各不相同.

研究的目的:

评估和比较三个沿海海洋污染监测架构.
为沿海管理者确定最有效,最平衡的监测系统.
证明AHP-TOPSIS框架对于复杂系统比较的实用性.

主要方法:

利用一个集成的分析层次过程技术,通过类似于理想解决方案 (AHP-TOPSIS) 框架来进行订单偏好.
评估了三个架构:停泊浮标系统 (A1),移动自主平台 (A2) 和基于物联网的水下传感器网络 (A3).
收集了100名专业人士的专家意见,并使用对对比和敏感性分析分析数据.

主要成果:

检测能力 (0.31) 和时空覆盖率 (0.24) 被确定为监控系统最关键的标准.
基于物联网的水下传感器网络 (A3) 在各种分析中始终被列为表现最佳的替代方案.
专家推出的权重优先考虑检测和覆盖,而不是成本,稳定性和维护.

结论:

基于物联网的水下传感器网络为沿海污染监测提供了一个平衡且有效的解决方案.
AHP-TOPSIS框架提供了一个透明和实用的方法来比较复杂的海洋观测系统.
研究结果支持采用先进的传感器网络来保护沿海生态系统的健康和服务.

关键词:

一个AHPTOPSISIS的总结.沿海污染的监测和监测基于物联网的水下网络网络.采用多个标准的决策.传感器网络是一个传感器网络.

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