An Observational Process Ontology-Based Modeling Approach for Water Quality Monitoring

Abstract

The increasing deterioration of aquatic environments has attracted more attention to water quality monitoring techniques, with most researchers focusing on the acquisition and assessment of water quality data, but seldom on the discovery and tracing of pollution sources. In this study, a semantic-enhanced modeling method for ontology modeling and rules building is proposed, which can be used for river water quality monitoring and relevant data observation processing. The observational process ontology (OPO) method can describe the semantic properties of water resources and observation data. In addition, it can provide the semantic relevance among the different concepts involved in the observational process of water quality monitoring. A pollution alert can be achieved using the reasoning rules for the water quality monitoring stations. In this study, a case is made for the usability testing of the OPO models and reasoning rules by utilizing a water quality monitoring system. The system contributes to the water quality observational monitoring process and traces the source of pollutants using sensors, observation data, process models, and observation products that users can access in a timely manner.

Design of Water Quality Monitoring System in Shaanxi Section of Weihe River Basin Based on the Internet of Things

“…In this paper, the system is divided into perception convergence layer and application layer, which consists of three parts: water quality monitoring terminal, water quality gateway, and water quality monitoring center. Facing the complex environment and wide range of monitoring waters, the system adopts the idea of divide and conquer, dividing the whole water area into multiple monitoring subnetworks [ 27 , 28 ]. When the system is running, the monitoring terminal establishes its own water quality monitoring network in the target water area, and the water quality gateway uploads the water quality data through the backbone transmission network, completes the data aggregation and management in the monitoring center, and finally realizes the online water quality monitoring of the target water area.…”

SmartWater: A Service-Oriented and Sensor Cloud-Based Framework for Smart Monitoring of Water Environments

“…In [31], a semantic modeling method based on ontologies and rules building was proposed to monitor the water quality of rivers and to process relevant observational data. It is based on the Observation Process Ontology (OPO) and allows the description of semantic properties related to water resources and the collected observation data.…”

Monitoring, Modeling and Management of Water Quality

“…The increasing deterioration of aquatic environments has attracted more attention to water quality monitoring techniques, with most researchers focusing on the acquisition and assessment of water quality data, but seldom on the discovery and tracing of pollution sources. In the study of Wang et al [14], a semantic-enhanced modeling method for ontology modeling and rules building is proposed, which can be used for river water quality monitoring and relevant data observation processing. The observational process ontology (OPO) method can describe the semantic properties of water resources and observation data.…”

“…In this study, a case is made for the usability testing of the OPO models and reasoning rules by using a water quality monitoring system. The system contributes to the water quality observational monitoring process and traces the source of pollutants using sensors, observation data, process models, and observation products that users can access in a timely manner [14].…”