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Hyperspectral monitoring of a constructed wetland as a tertiary treatment in a wastewater treatment plant
International Journal of Environmental Science and Technology ( IF 3.1 ) Pub Date : 2020-06-12 , DOI: 10.1007/s13762-020-02725-w
A. Chiavola , C. Bagolan , M. Moroni , S. Bongirolami

Hyperspectral sensing devices are being increasingly applied in the field of environmental monitoring. High spatial and spectral resolution hyperspectral data are particularly suited for detecting the vegetation health state due to the unique spectral characteristics exhibited by green plants. Wetlands are capable of filtering polluted water, with their functionality strictly related to the health state of the plants bedded out in the lagoon. This paper presents a ground spectroscopy monitoring survey of the vegetation implanted in the constructed wetland unit located in the wastewater treatment plant for domestic sewage of Latina Mare. The measurement campaign was carried out through the collection of hyperspectral data by means of a spectroradiometer. Broadband indices of vegetation were computed from the data acquired to infer the plant health state. For the test case discussed in this contribution, there is a remarkable agreement between data acquired and the observations at the ground. The broadband indices Red Difference Vegetation Index, Simple Ratio and Transformed Vegetation Index make it possible to highlight the vegetation health state in the investigated wetland unit. Removal efficiency of the unit well reflected the values of the indices.

中文翻译:

高光谱监测人工湿地作为废水处理厂中的三次处理

高光谱传感设备正越来越多地应用于环境监测领域。由于绿色植物具有独特的光谱特性,因此高空间和光谱分辨率的高光谱数据特别适合于检测植被健康状态。湿地能够过滤污水,其功能与泻湖中植株的健康状况严格相关。本文介绍了地面光谱监测调查,该调查是对位于拉提纳马雷生活污水处理厂的人工湿地单元中植入的植被进行的。测量活动是通过使用光谱仪收集高光谱数据来进行的。根据获取的数据计算植被的宽带指数,以推断植物的健康状况。对于此贡献中讨论的测试用例,所获得的数据与实地观测结果之间有着显着的一致性。宽带指数“红色差异植被指数”,“简单比率”和“转化植被指数”可以突出显示被调查湿地单元中的植被健康状况。该装置的去除效率很好地反映了指数的值。
更新日期:2020-06-12
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