摘 要
随着工业化进程的加快和城市化的不断推进，地下水污染问题日益严重，对人类的生活质量和生态系统的健康构成了巨大威胁。因此，开展地下水污染监测，准确识别和有效管理地下水污染，已成为环境保护和水资源管理的当务之急。本研究综合探讨了地下水污染监测方法，特别关注传统与非传统方法的对比和应用。绪论部分强调了地下水监测的重要性及其对环境保护的意义，概述了国内外的研究现状，并明确了研究目的。传统监测方法因其时间和空间分辨率限制、数据准确性及高成本等局限性，迫切需要技术创新。非传统监测方法，包括遥感技术、无人机技术和基于物联网的系统，展现了在处理这些问题上的潜力。此外，生物传感器、人工智能和纳米材料增强传感器等创新技术也在地下水监测领域显示了巨大的应用前景。本研究还讨论了无线传感器网络与大数据分析集成的创新方法，提高了数据的收集效率和分析精度。研究结论指出，尽管取得了显著进展，但各种方法仍有其局限性，未来研究需要进一步探索和完善这些技术。展望部分提出了对未来地下水监测技术的期待和研究方向。
关键词：地下水污染；非传统监测方法；生物传感器；人工智能
Unconventional monitoring methods and prevention strategies for groundwater pollution
英文姓名
Directive teacher:×××
Abstract：With the acceleration of industrialization and urbanization, groundwater pollution is becoming more and more serious, which poses a great threat to the quality of human life and the health of ecosystem. Therefore, to carry out groundwater pollution monitoring, accurate identification and effective management of groundwater pollution has become the top priority of environmental protection and water resources management. In this study, methods of groundwater pollution monitoring are comprehensively discussed, with special attention to the comparison and application of traditional and non-traditional methods. The introduction emphasizes the importance of groundwater monitoring and its significance to environmental protection, summarizes the research status at home and abroad, and clarifies the research purpose. Traditional monitoring methods are in urgent need of technical innovation due to limitations of time and spatial resolution, data accuracy and high cost. Non-traditional monitoring methods, including remote sensing technology, drone technology and IoT-based systems, show potential in addressing these issues. In addition, innovative technologies such as biosensors, artificial intelligence and nanomaterial-enhanced sensors also show great application prospects in the field of groundwater monitoring. The study concluded that despite the remarkable progress, the various methods still have their limitations, and future research needs to further explore and refine these techniques. In the prospect part, the expectation and research direction of groundwater monitoring technology in the future are put forward.
Key words: Groundwater pollution; Non-traditional monitoring methods; Biosensor; Artificial intelligence
目 录
1 引言 1
2 地下水污染的传统监测方法 1
2.1 传统监测方法概述 1
2.2 传统监测方法的局限性 1
3 非传统监测方法的理论与应用 2
3.1 非传统监测方法的理论 2
3.2 非传统监测方法的应用 3
4 地下水污染的非传统监测方法的创新 4
4.1 生物传感器技术在地下水监测中的应用创新 4
4.2 基于人工智能的污染源识别与预测方法 5
4.3 纳米材料增强的传感器技术 5
4.4 无线传感器网络与大数据分析的集成创新 6
结论 7
参考文献 7
致谢 8
