EGU21-8115, updated on 04 Mar 2021
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Pathway to Encapsulate Water Quality Models as Cloud Computing Services and Couple with Environmental DSS for Managing Urban River Water Quality

Tianrui Pang1,2, Jiping Jiang1, Fengyuan Zhang3, Harsh Yadav4, Yunlei Men1, Peng Wang2,5, and Yi Zheng1
Tianrui Pang et al.
  • 1School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
  • 2School of Environment, Harbin Institute of Technology, Harbin 150090, China
  • 3Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, China
  • 4Department of Physics, Indian Institute of Technology, Kharagpur, West Bengal 721302, India
  • 5State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China

In the era of smart city, developing environmental decision support system (EDSS) integrated with monitoring, modelling, planning and control for smart management of urban river water quality has been widely accepted and implemented around the world. Construction and coupling localized water quality models, such as popular WASP and EFDC by USEPA, to meet different management requirements are fundamental for the surface water EDSS development. However, few reported the technique coupling the advanced version of WASP program with EDSS platform. 

Traditional pathway of EDSS integrations or model coupling, e.g. database-oriented interaction, are non-modular, with low efficiency of share and reuse, and difficult for system updating. With the development of cloud computing and web services, the service-oriented design are the future trends of model coupling.

In this paper, a generic interface/module interacting with WASP V7.5 program is developed and the technical route of tightly coupling is proposed. The web service encapsulation of localized WASP models and advanced cloud computing services are implemented with the help of OpenGMS framework and SaaS (software as services) pattern. To meet the basic requirements of urban water quality management, the water assimilative capacity allocation and pollution load reduction planning are work out by the cloud computing services, which achieves operational running of EDSS.

The study area is located in Maozhou River Basin, an urban river in Shenzhen, China. According to the national water environment code and regulations, COD (chemical oxygen demand) and NH3-N (ammonia nitrogen) are set as the ending point for supervision and the corresponding WASP model of Maozhou River is constructed and calibrated by historical field data. The computing components and web-services are integrated into the comprehensive water quality management platform of Maozhou River through the model configuration and controlling data parameterization. One version of the Maozhou River EDSS has been deployed and is online on the Shenzhen ecological and environmental intelligent management and control center since January, 2021.

Along with WASP, service-oriented encapsulating of EFDC and SWMM based computing components for particular management purposes are also implemented based on the same technique route since both of them are developed by USEPA with similar inputs and outputs. The technology of model coupling and platform integration mentioned in this paper provides a valuable paradigm for linking other environment models into specific management business. Under the proposed technical pathway, the interaction of model interface between computation engine and system business layer can be easily updated along with the changes of management requirements. It provides the merits of rapidly development, easily deployment and maintenance.

How to cite: Pang, T., Jiang, J., Zhang, F., Yadav, H., Men, Y., Wang, P., and Zheng, Y.: Pathway to Encapsulate Water Quality Models as Cloud Computing Services and Couple with Environmental DSS for Managing Urban River Water Quality, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8115,, 2021.