In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical
model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index
model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field
measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The
results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution
and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However,
further exploration is needed regarding the optimization of model parameters and determination of threshold levels.
This paper mainly discusses how to determine the optimized strategy for retrieval of Precipitable Water Vapor (PWV) with high accuracy from tropospheric zenith wet delay using ground-based GPS receivers. GPS analytical network are constructed on the base of two observation sites in Antarctica in 1999 and several IGS sites. Tests are conducted to study the performance of different network sizes and different schemes parameters. A high-accuracy GPS processing software package GAMIT/GLOBK is utilized; multiple schemes are adopted for searching the optimized parameters for accurate PWV. After having running GAMIT/GLOBK of all test combination, the results are analyzed by Baseline Repeatability Rate(BRR) and bias between calculated GPS water vapor and actual water vapor. The primary achievements and conclusion are reached including the optimal IGS sites involved, network configurations, elevation cut-off angles, processing periods, knots position.
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