Scopes
(Including but not limited to the following topics)
Track 1: Smart Water Management
Digital twin river basins, digital twin water networks and digital twin projects
Smart water management platform architecture, data foundation and model library
Intelligent water resource scheduling, water volume allocation and ecological flow control
Joint water project scheduling and decision support
Smart irrigation, irrigation zone informatization and water use efficiency improvement
Urban-rural water supply integration, pipe network leakage monitoring and intelligent control
Water resources big data platform, knowledge graph and intelligent question answering
Smart water management standard system, data security and operation and maintenance guarantee
Track 2: Dynamic Monitoring
Hydrological automatic reporting and Internet of Things sensing
Water engineering safety intelligent monitoring
Unmanned boats/Unmanned aircraft/Underwater robots for waterway inspection and emergency monitoring
Beidou/GNSS ground subsidence, dam deformation and displacement monitoring
Fiber optic sensing, sonar, ground-penetrating radar in underwater structure detection
Wireless sensing network, edge computing and real-time warning
Integration and fusion of sky-ground integrated monitoring data
Intelligent sensors, low-power wide-area IoT water management applications
Track 3: Remote Sensing Big Data
Satellite remote sensing water hydrological parameter inversion
Remote sensing water body extraction, dynamic monitoring of water area and water resource volume assessment
Remote sensing water quality monitoring
InSAR surface deformation monitoring and dam/ reservoir safety assessment
Remote sensing + AI flood inundation range identification and disaster assessment
Remote sensing drought monitoring, crop water requirement inversion and irrigation forecast
Multi-source remote sensing data fusion and hydrological model assimilation
Remote sensing big data platform water management applications ......
Track 1: Smart Water Management
Digital twin river basins, digital twin water networks and digital twin projects
Smart water management platform architecture, data foundation and model library
Intelligent water resource scheduling, water volume allocation and ecological flow control
Joint water project scheduling and decision support
Smart irrigation, irrigation zone informatization and water use efficiency improvement
Urban-rural water supply integration, pipe network leakage monitoring and intelligent control
Water resources big data platform, knowledge graph and intelligent question answering
Smart water management standard system, data security and operation and maintenance guarantee
Track 2: Dynamic Monitoring
Hydrological automatic reporting and Internet of Things sensing
Water engineering safety intelligent monitoring
Unmanned boats/Unmanned aircraft/Underwater robots for waterway inspection and emergency monitoring
Beidou/GNSS ground subsidence, dam deformation and displacement monitoring
Fiber optic sensing, sonar, ground-penetrating radar in underwater structure detection
Wireless sensing network, edge computing and real-time warning
Integration and fusion of sky-ground integrated monitoring data
Intelligent sensors, low-power wide-area IoT water management applications
Track 3: Remote Sensing Big Data
Satellite remote sensing water hydrological parameter inversion
Remote sensing water body extraction, dynamic monitoring of water area and water resource volume assessment
Remote sensing water quality monitoring
InSAR surface deformation monitoring and dam/ reservoir safety assessment
Remote sensing + AI flood inundation range identification and disaster assessment
Remote sensing drought monitoring, crop water requirement inversion and irrigation forecast
Multi-source remote sensing data fusion and hydrological model assimilation
Remote sensing big data platform water management applications ......
Important Dates/重要日期
- Submission Deadline: 2026.7.12
- Registration Deadline: 2026.7.19
- Conference Date: 2026.7.27
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: icomputer_info@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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+86---(微信同号)
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