Water pollution monitoring method based on multi-dimensional data acquisition

By dividing water bodies into regions based on pH value and chlorophyll content, and combining microplastic particle size and algal activity indicators, a water pollution monitoring method was constructed. This method addresses the shortcomings of traditional methods in assessing the ecological hazards of microplastics and enables accurate identification and dynamic monitoring of microplastic pollution.

CN122409980APending Publication Date: 2026-07-17GUANGXI ZHIBIDA INTELLIGENT ENVIRONMENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGXI ZHIBIDA INTELLIGENT ENVIRONMENT TECH CO LTD
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional water pollution monitoring methods are insufficient to comprehensively assess the ecological hazards of microplastics, cannot effectively combine pollutant exposure with biological responses, and lack a comprehensive monitoring model with multi-dimensional data collection.

Method used

By dividing the water body into regions based on pH value and chlorophyll content, abnormal areas are identified, microplastic samples are collected and pollution indices are calculated, and fitting curves are generated by combining algal activity indicators to achieve a multi-dimensional coupled evaluation of pollutant exposure and biological response.

Benefits of technology

It enables precise location and spatial management of microplastic pollution areas, accurately reflects the harm of microplastics to aquatic ecosystems, provides automatic pollution level judgment and dynamic monitoring cycle adjustment, and improves the accuracy and efficiency of monitoring.

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Abstract

本发明涉及水体污染监测技术领域,具体公开了一种基于多维度数据采集的水体污染监测方法,包括以下步骤:S1:基于pH梯度和叶绿素含量划分监测区域,通过微塑料丰度阈值识别异常污染区域;S2:按粒径分级微塑料,结合类型数量构建水体污染指数;S3:依据污染指数动态修正监测周期,多指标耦合计算藻类活性;S4:拟合水体污染指数与藻类活性关联曲线,设定阈值实现污染严重区域自动预警。本发明基于pH梯度分区并结合微塑料丰度精准识别污染区域,综合粒径与类型构建污染指数,耦合多生理指标评价藻类活性,通过拟合曲线实现污染等级自动预警,可提升监测针对性与准确性,真实反映生态危害,为水环境智能化管控提供支撑。
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