Abstract
The measurement of the concentration of suspended sediment in a water body is a very important content in the observation of hydrological elements, and it is also one of the important parameters for calculating the sediment resuspension flux. In order to accurately predict the distribution of lake sediment, this paper uses satellite remote sensing data to invert the suspended sediment concentration. The key to the quantitative inversion is the atmospheric correction and the suspended sediment concentration inversion algorithm. In this paper, satellite remote sensing technology and Internet of Things technology are combined to establish a new type of lake suspended sediment concentration distribution model. First of all, this paper combines the results of satellite remote sensing inversion and the results of on-site water sample inspections of the Internet of Things to obtain the original hydrological data of suspended sediment in the lake. Secondly, this paper combines ADAM with deep learning technology to simulate the lake flow field and predict the dynamic process of suspended sediment pollution under different conditions. Finally, through experimental simulation and field sampling experiments, the validity of the lake suspended sediment concentration model established in this paper is verified. This model can provide assistance for relevant agencies to grasp the temporal and spatial distribution of suspended sediment concentration in regional lakes in a comprehensive and timely manner, and can obtain the overall characteristics of the study area and the impact of humanistic engineering construction.
Highlights
The concentration of suspended sediment in a water body determines the transparency, turbidity and water color of the water body and other optical properties
With the help of remote sensing technology, the information on the concentration of suspended sediment that traditional methods require a lot of work can be obtained faster, better, and more
Water color remote sensing is based on the spectral characteristics of water absorption and scattering in visible light or near-infrared, using the water spectral radiation data measured by aviation and aerospace sensors to interpret the relevant phenomena and parameters of the water body [3]
Summary
The concentration of suspended sediment in a water body determines the transparency, turbidity and water color of the water body and other optical properties. In order to improve the accuracy of remote sensing data, experts and scholars in various applications have carried out a series of scale reduction research work [13]. (1) This article combines satellite remote sensing technology and Internet of Things technology to establish a new type of lake suspended sediment concentration distribution model. (2) This paper combines the results of satellite remote sensing inversion and the results of on-site water sample inspections of the Internet of Things, thereby obtaining the original hydrological data of suspended sediment in the lake. The writing organization of the thesis is as follows: The second section discusses related work, the third section discusses the research methods of the paper, the fourth section carries on the simulation experiment, and the fifth section summarizes the full text
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