A modeling system for monitoring the air - water pollution

TL;DR

This paper introduces a cost-effective geo-ecological modeling system (GIMS) that combines simulation and field data to optimize water quality monitoring and assess air-water pollution interactions.

Contribution

It presents a novel integrated modeling system (GIMS) that enhances water quality monitoring efficiency through simulation and field data integration.

Findings

GIMS reliably records water quality parameters.

The combined model and field observations optimize monitoring regimes.

Simulation experiments demonstrate the system's effectiveness in a lagoon setting.

Abstract

Regular monitoring of key water quality parameters is important for assessing its the hydrological status in conjunction with air-pollution interaction. In this study, a new cost - effective technique based on the geo-ecological information-modeling system (GIMS) is implemented employing the combined use of simulation experiments and in field observations to investigate the problem of optimizing water quality monitoring. The GIMS, is accompanied by 39 elements selected in 8 management systems and 31 functional elements, which are described in detail. It is shown that the combined use of model and field observations allows reliable recording of water quality and optimization of the monitoring regime. Finally, simulation experiments in a lagoon are presented, demonstrating the fidelity of the proposed modelling system to optimize water quality control through regular in field measurements and simulations.