Visual Management and Analysis on Drainage Networks in Kunming Based on GIS

Kai Min Zhao; Hong Liang

doi:10.4028/www.scientific.net/AMR.518-523.5770

Paper Titles

Statistical Class Feature in Texture Analysis of Remote Sensing Imagery
p.5749

The Distribution Regularity of Geohazard in the Dry-Hot Valley of Jinsha River: Case Study in Derong County
p.5754

The Evaluation of Eco-Environmental Sensitivity Based on Grid Cell and Gray Clustering Method
p.5760

The Study of Wuhan Metropolis Circle Land Use and Ecological Service Value Change Nearly Twenty Years
p.5766

Visual Management and Analysis on Drainage Networks in Kunming Based on GIS
p.5770

Water Inrush Prediction in DongShan Coal Mine Based on GIS and Multi-Source Information
p.5780

Deriving Optimum Visibility Range and Aerosol Loading from Urban Atmospheric Model in Malaysia
p.5784

Discussion on Remote Dynamic Sensing Monitoring Method for Land in Regions under Rapid Economic Development
p.5788

Emergency Case Ontology Model and its Application in Earthquake Disaster
p.5793

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Visual Management and Analysis on Drainage...

Visual Management and Analysis on Drainage Networks in Kunming Based on GIS

Abstract:

With the rapid urbanization of Kunming City, the water environment of the City is becoming worse. Informationalized and scientific drainage network management is essential to improve urban water environment. To solve the current problems of Kunming drainage network, we developed an integrated urban drainage network information platform. Architecture design, functional design and spatial database, as well as some key technologies of this platform, for example, Web GIS, ArcObjects, are illustrated. This platform has already been applied to the drainage network management of Kunming, and it has realized the visual management of geospatial information, network analysis, drainage data real-time monitoring and Web publication of information. All of them provide comprehensive and accurate information support and scientific decision-making on urban drainage for the operation and management departments.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

5770-5779

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.5770

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Online since:

May 2012

Authors:

Kai Min Zhao, Hong Liang

Keywords:

Arcobjects, Drainage Networks, Geodatabase, Visual Management, Web-GIS

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