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遥感识别城市水污染源类型,使用超光谱数据

Xiaolan Cai¹, Luyao Wu¹, Yunmei Li¹

¹School of Geography, Nanjing Normal University, Key Laboratory of Virtual Geographic Environment of Education Ministry, Jiangsu Center for Collaboration Invocation in Geographical Information Resource Development and Application, Nanjing 210023, China.

Journal of hazardous materials

|July 27, 2023

概括

这项研究开发了一种遥感方法,使用无人机的高光谱图像来识别城市水污染源. 该技术准确地分类了四种类型的污染,有助于水质管理.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
水质监测水质监测

背景情况:

城市化导致水污染增加,需要有效识别水源进行处理.
目前用于确定城市水污染源的方法有限.

研究的目的:

建立一个遥感识别方法,利用无人机的高光谱图像识别城市水污染源.
为了分类不同类型的城市水污染源.

主要方法:

利用3D激发发射矩阵光光谱和并行因子分析来识别溶解有机物 (DOM) 的七个光成分.
应用了对光成分和光谱指数的等级集群分析,以确定四种污染源 (PS) 类型.
开发了一种使用水色和光学参数 (例如,DOM吸收,叶绿素-a) 来识别UAV超谱数据的识别方法.

主要成果:

确定了四种不同的污染源类型:家庭污水,陆地输入,农业和藻类以及工业废水.
开发的方法实现了四种PS类型的识别准确度超过70%.
证明了将DOM光和水的光学特性结合起来用于PS识别的潜力.

结论:

该研究成功展示了一种新的遥感方法,用于确定城市水污染源.
这种方法通过提供可靠和全面的信息来增强城市水质管理.
扩大了遥感技术在环境监测中的应用.

关键词:

溶解有机物质的光.气化指数是指气化指数.无人驾驶飞行器的高光谱图像遥感是一种远程传感.污染源类型的污染源类型城市用水城市用水

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