Land-based remote sensing monitoring method for nutritive salt and chemical oxygen demand of water body

Abstract

The invention relates to a land-based remote sensing monitoring method for nutritive salt and chemical oxygen demand of a water body, which comprises the following steps of acquiring water body remote sensing reflectance ratios under different water body types and different observation scenes by using a hyperspectral imager erected on the shore, and matching the water body remote sensing reflectance ratios with acquired concentration data measured in a surface water sample to obtain synchronous observation data, so as to form a synchronous sample data set, training a data set by utilizing a machine learning model, establishing a total nitrogen, total phosphorus and chemical oxygen demand inversion model, and finally applying the established inversion model to the hyperspectral imager. Thus, rapid real-time high-frequency automatic continuous monitoring of nitrogen and phosphorus nutritive salts and chemical oxygen demand on the surface layer of the water body under unattended operation is realized. The invention provides a land-based remote sensing monitoring concept of nutritive salt and chemical oxygen demand fused to a surface water environment monitoring section for the first time, which is expected to meet the ever-increasing high-time-space continuous dynamic observation requirements of nutritive salt in river sections and near-shore water areas.

Description

technical field [0001] The invention belongs to the technical field of remote sensing monitoring, and in particular relates to a land-based remote sensing monitoring method for water body nutrients and chemical oxygen demand. Background technique [0002] Clean water is directly related to everyone's life, health and life safety. It is the most basic issue of people's livelihood, and it is related to the national economy, people's livelihood and sustainable social and economic development. In addition, UN Sustainable Development Goal 6 for 2015-2030 is to ensure access to sufficient clean drinking water. Since the 1970s and 1980s, with the rapid development of my country's social economy and the significant increase in the pollution load of river basins, the problems of water pollution, water environment, water resources and water ecology in rivers, lakes, reservoirs, bays and other surface water bodies have become increasingly severe. In recent years, with the continuous a...

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Problems solved by technology

[0004] Nitrogen, phosphorus, and chemical oxygen demand are the core indicators of surface water environmental monitoring. Traditional cross-section manual sampling monitoring is time-consuming and laborious, and the time and space frequencies are very low. The data are discrete and time-sensitive

The high-frequency online monitoring of the underwater probe can solve the continuous observation in time, but the probe is easy to wear and the monitoring accuracy is unstable due to the interference of the water environment, and the monitoring indicators are limited. Key parameters such as total nitrogen, total phosphorus, and chemical oxygen demand are automatically monitored. There are systematic errors between the monitoring results and the routine laboratory monitoring and analysis data, the use is limited, and the post-management and maintenance costs are high

Aerospace and UAV remote sensing monitoring can achieve remote sensing inversion of key water quality parameters at different spatial scales, but the observation accuracy of nitrogen, phosphorus, nutrients and chemical oxygen demand is low, and it is difficult to solve continuous observation in time, and due to cloudy and rainy conditions and Influenced by atmospheric correction, its monitoring effect is not good

And for small lakes, rivers, and important cross-sections, the low spatial resolution of satellite remote sensing will make them lose their monitoring capabilities, and they can only be observed by Landsat, Sentinel, Gaofen and other land-based medium and high-resolution satellites, but these satellites have a long revisit cycle, The disadvantages of wide band, low signal-to-noise ratio and non-aqueous band setting limit its application in remote sensing of water environment in small lakes, reservoirs, rivers and important sections.

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