Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

Abstract

Chlorophyll a concentration is an important parameter for the characterization of water quality and reflects the degree of eutrophication and the algae content in water bodies. Based on the idea of integrating models, data and visualization to build virtual geographic environments (VGEs), this article proposes a data assimilation scheme based on particle filters to assimilate the concentration of chlorophyll a in a VGE. The VGE is based on a modular concept to design function plugins and perform water quality assimilation simulations and GIS visualization. We conducted assimilation experiments using buoy observation data and forecast chlorophyll a concentrations. During the assimilation stage, the root mean square error and average relative error are notably reduced. The assimilation results indicate that the proposed data assimilation method can significantly improve accuracy in the prediction of chlorophyll a concentrations. An assimilation case study indicates that the VGE can be effectively used in water environment pollution and dynamic process simulations.

Investigations of disaster information representation from a geospatial perspective: Progress, challenges and recommendations

“…In addition, inspired by Michael Batty’s (1997) virtual geography theory, the concept of the virtual geographic environment (VGE) was proposed in 1998 and used in various applications (Dang et al, 2021; Lin et al, 2013; Luo et al, 2021). It has been widely used for disaster phenomenon simulation and multi‐dimensional visualization, contributing to a deeper understanding of the real disaster environment (Ding et al, 2015; Guo et al, 2021; Li et al, 2021; Lin et al, 2013; Pirasteh, Shamsipour, Liu, Zhu, & Chengming, 2020). Nevertheless, the current representation of disaster information has remained a challenge and a hot topic among researchers.…”