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BEST论坛讲座报告第十六期:城市水系统综合管理机遇 Creating Opportunities for Integrated Urban Water Management(图)
BEST 第十六期 城市水系统
2024/7/9
AUTOMATIC GENERALIZABILITY METHOD OF URBAN DRAINAGE PIPE NETWORK CONSIDERING MULTI-FEATURES
Stroke Urban Drainage Pipe Network Generalization Similarity Criterion Multi-features
2018/5/17
Urban drainage systems are indispensable dataset for storm-flooding simulation. Given data availability and current computing power, the structure and complexity of urban drainage systems require to b...
URBAN AREA CHANGE DETECTION USING TIME SERIES AERIAL IMAGES
Photogrammetry Dense Point Cloud Aerial Image Historical Image Urban Change Detection
2018/6/4
The urban area should be imaged in three-dimensional (3D) for planning, inspection and management. In addition fast urbanisation requires detection the urban area changes which have been occurred with...
DETECTING FLU OUTBREAKS BASED ON SPATIOTEMPORAL INFORMATION FROM URBAN SYSTEMS – DESIGNING A NOVEL STUDY
GIS epidemiology spatial epidemiology urban information systems seasonal influenza infectious disease surveillance control
2018/5/8
This paper explores the application of real-time spatial information from urban transport systems to understand the outbreak, severity and spread of seasonal flu epidemics from a spatial perspective. ...
To What Extent Are Cities Influenced by Rural Urban Relationships in Africa
Urban Dynamics Urban Settlement City Centers Rural-Urban Relationship
2013/3/8
If rural-urban relationship is treated as an open and unregulated process, cities serve as a sink for rural population, meaning that higher proportions of rural people migrate from rural areas to stay...
MUWS (Microbiology in Urban Water Systems) – an interdisciplinary approach to study microbial communities in urban water systems
MUWS study microbial communities urban water systems
2010/9/20
Microbiology in Urban Water Systems (MUWS) is an integrated project, which aims to characterize the microorganisms found in both potable water distribution systems and sewer networks. These large infr...