Development and Practice of Intelligent River Information Management System

China’s fast development and rapid urbanization have not only led to a boom in GDP growth but also brought significant environmental issues. For the purpose of balancing pollution control and economic achievement, the Chinese government has promulgated “River Chief” scheme nationwide especially focused on water resources management and protection, shoreline management, water pollution control, water environment governance, water ecological restoration, and law enforcement. However, the method of traditional water resources management is complicated which involves upstream and downstream flow, left and right banks, multi-level and different industries etc., and it often comes with problems such as stack issues undone, objects of management uncertain, responsibilities of departments unclear. In order to break down communication barriers, avoid information isolation and reduce data redundancy in the traditional process, and to efficiently manage water resources as well as fully support river chiefs’ work, this article introduced an Intelligent River Information Management System. It was designed and implemented on the basis of Geographic Information Systems (GIS), applied effective spatial information techniques for complicated river system and water resources data management, and integrated hydrologic analysis models for professional decision-making assistance. In addition, advanced information techniques such as micro-services architecture, Internet of Things (IoT) have also been utilized which makes this information management system more intuitive, interactive and intelligent. This system provides a comprehensive information environment based on a unified monitoring, operating and service platform, it is of great significance to improve the management effectiveness of the "one river, one policy" scheme, enhance the decision-support ability, and promote harmony between human and water.

The study reported in this article is sponsored by the National Key Research and Development Program of China No. 2016YFC0402210. All the authors gratefully acknowledge the financial support from them.