[Remote Sensing Model for Estimating Atmospheric PM Concentration in the Guangdong-Hong Kong-Macao Greater Bay Area].

PM is extremely harmful to the atmospheric environment and human health, and a timely and accurate understanding of PM with high spatial and temporal resolution plays an important role in the prevention and control of air pollution. Based on multi-angle implementation of atmospheric correction algorithm (MAIAC), 1 km AOD products, ERA5 meteorological data, and pollutant concentrations (CO, O, NO, SO, PM, and PM) in the Guangdong-Hong Kong-Macao Greater Bay Area during 2015-2020, a geographically and temporally weighted regression model (GTWR), BP neural network model (BPNN), support vector machine regression model (SVR), and random forest model (RF) were established, respectively, to estimate PM concentration. The results showed that the estimation ability of the RF model was better than that of the BPNN, SVR, and GTWR models.

[Hyperspectral remote sensing of chlorophyll a concentrations in the Lake Taihu, based on water optical classification].

Four field investigations into the Lake Taihu were carried out for collecting in situ observed data in Nov., 2006, Nov., 2008, May and Aug.

[Hyperspectral remote sensing of total suspended matter concentrations in Lake Taihu based on water optical classification].

Four field investigations were carried out in the Taihu Lake for collecting in situ observation data in Nov. 2008, Apr. 2009, May and Aug.

[Preliminary exploring of hyperspectral remote sensing experiment for nitrogen and phosphorus in water].

The content of nitrogen and phosphorus in the waters is an important index to measure water quality, and the technique of remote sensing plays a large role in monitoring the change in environment. The reflectance spectra of nitrogen and phosphorus with different concentrations were measured to discover their special features under pure water condition in the laboratory by hyperspectral remote sensing technique. The result shows that nitrogen has reflectance peaks at 404 and 477 nm, and phosphorus at 350 nm, and these reflectance peaks have a good correlation with their concentrations, then a quantitative retrieval model was deduced for nitrogen and phosphorus based on that.

[Scattering characteristics of Taihu Lake and its relationship models with suspended particle concentration].

Water scattering characteristics are closely related to water quality parameters, such as suspended particles and their concentrations. Through the observing system of water inherent optical properties, which were developed by WETlabs Inc, the backscattering and scattering coefficients of Lake Taihu had been obtained in Oct. 2006 and Nov.

[Integrated fuzzy evaluation of water eutrophication based on GIS in the Taihu Lake].

Supported by geographic information system and geostatistics, the application of fuzzy mathematics and analytic hierarchy process for water eutrophication evaluation was discussed. Taking Taihu Lake as an example, the research selected total phosphorus, total nitrogen, chlorophyll a, COD, BOD5, DO and transparence as evaluation index. After geostatistical analysis of the datum of monitoring site, the values of evaluation indices were estimated in the whole research area.