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多面异常检测框架用于垃圾填埋场的液监测

Rong Liu¹, Shiyu Jiang¹, Jian Ou²

¹School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, 410083, China; Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha, Hunan, 410083, China.

Journal of environmental management

|August 24, 2024

概括

一个新的多面异常检测框架 (MADF) 通过整合电电阻图解 (ERT) 和机器学习来改善地下水监测. 这种先进的系统提高了泄漏检测的准确性,这对于保护重要的饮用水资源免受垃圾填埋污染物的保护至关重要.

科学领域:

环境科学环境科学
地质物理学地质物理学
数据科学数据科学数据科学

背景情况:

垃圾填埋场液污染地下水,对全球饮用水供应构成重大威胁.
现有的垃圾填埋污水等环境威胁的检测方法往往不足,需要先进的监测解决方案.

研究的目的:

引入和评估多面异常检测框架 (MADF) 以加强地下水监测.
评估MADF在检测和量化环境污染的标志性异常方面的能力,例如垃圾填埋场液.

主要方法:

电阻断层扫描 (ERT) 与机器学习算法的集成:隔离森林 (IF),一类支向量机 (OC-SVM) 和局部异常因子 (LOF).
从ERT数据中准确识别和量化异常信号的多数投票策略的制定.
在中国珠州的Chaling垃圾填埋场应用和验证MADF框架.

主要成果:

与传统的ERT倒置方法相比,MADF表现出优越的异常检测能力.
该框架实现了更高的Youden指数值 (≈6.216%),表明检测精度有所提高.
观察到显著的改善,包括30%的灵敏度增加和25%的虚假阳性减少.

结论:

MADF为积极的环境管理和污染预防提供了强大且可扩展的解决方案.
该框架提供了有效的填埋场监测,这对于保护地下水资源和最大限度地减少环境风险至关重要.
由于MADF的适应性,它适用于各种环境环境,需要全面的监控解决方案.

关键词:

异常检测检测异常检测电电阻断层扫描 (电电阻断层扫描) 是一种电阻断层扫描.垃圾填埋场管理技术泄漏液泄漏检测器泄漏液泄漏检测器泄漏液泄漏检测器机器学习在环境监测中的应用

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