4.7 Article

Pathway to encapsulate the surface water quality model and its applications as cloud computing services and integration with EDSS for managing urban water environments

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 148, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2021.105280

Keywords

Industrial cloud; Maozhou River; Model integration; Surface water quality model; Water assimilative capacity; Web services

Funding

  1. National Natural Science Foundation of China [51979136, 51779066]
  2. Science, Technology and Innovation Commission of Shenzhen [JSGG20201103094600001]
  3. Key-Area Research and Development Program of Guangdong Province [2019B110205005]
  4. Open Project of State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology [ESK201901]
  5. Shenzhen Ecology and Environment Intelligent Management and Control Center, Power China Eco-environmental Group Co., Ltd

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This study proposes a generic pathway to encapsulate the surface water quality model and its applications as cloud computing services in order to promote the efficiency and reduce the complexity of surface water EDSS development. The pathway is implemented under the OpenGMS framework, and an EDSS instance for Maozhou River in Shenzhen is developed, providing precise management measurements for COD and NH3-N control.
The encapsulation of specific management measurements and computing services is rarely reported for surface water EDSS. To promote the efficiency and reduce the complexity of surface water EDSS development, a generic pathway to encapsulate the surface water quality model and its applications as cloud computing services is proposed. The web service is implemented under the OpenGMS framework. Two typical management measurements, water assimilative capacity allocation and pollution load reduction planning are encapsulated based on the advanced version of the WASP program. An EDSS instance of the Maozhou River, Shenzhen, is developed, which provides precise management measurements for COD and NH3-N control. Management services provided by other models, EFDC and SWMM, are also implemented under this novel framework. The proposed pathway provides the merits of rapid development, easy deployment, and maintenance of an advanced EDSS. It presents a good demonstration of coupling advanced WASP programs within EDSS for receiving water management.

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