Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation

Abstract

Xiong’an New Area is defined as the future city of China, and the regulation of water resources is an important part of the scientific development of the city. Baiyang Lake, the main supplying water for the city, is selected as the study area, and the water quality extraction of four typical river sections is taken as the research objective. The GaiaSky-mini2-VN hyperspectral imaging system was executed on the UAV to obtain the river hyperspectral data for four winter periods. Synchronously, water samples of COD, PI, AN, TP, and TN were collected on the ground, and the in situ data under the same coordinate were obtained. A total of 2 algorithms of band difference and band ratio are established, and the relatively optimal model is obtained based on 18 spectral transformations. The conclusion of the strength of water quality parameters’ content along the four regions is obtained. This study revealed four types of river self-purification, namely, uniform type, enhanced type, jitter type, and weakened type, which provided the scientific basis for water source traceability evaluation, water pollution source area analysis, and water environment comprehensive treatment.

A High-Frequency and Real-Time Ground Remote Sensing System for Obtaining Water Quality Based on a Micro Hyper-Spectrometer

“…In recent years, some scientific researchers have begun to explore the use of unmanned aerial vehicles equipped with spectrometers to obtain spectral information on water bodies [ 22 , 23 , 24 ], in order to overcome problems such as the low spatial resolution of satellite remote sensing images and interference from cloud and mist in water reflection spectra. Drones have higher spatial resolutions and can provide more detailed water information.…”