Shao et al., 2021 - Google Patents
The application of big data in the analysis of the impact of urban floods: A case study of Qianshan River BasinShao et al., 2021
View PDF- Document ID
- 12668209321967065995
- Author
- Shao W
- Su X
- Lu J
- Liu J
- Yang Z
- Cao Y
- Yang Z
- Wang K
- Publication year
- Publication venue
- Journal of Physics: Conference Series
External Links
Snippet
In recent years, with the acceleration of climate change and urban modernization, the flood risk of economic and social development has increased. The problem of urban flood disasters needs to be solved urgently. It is particularly important to conduct flood disaster …
- 238000004458 analytical method 0 title abstract description 6
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30994—Browsing or visualization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhang et al. | Explicit the urban waterlogging spatial variation and its driving factors: The stepwise cluster analysis model and hierarchical partitioning analysis approach | |
Eskandari et al. | An integrated multi criteria approach for landfill siting in a conflicting environmental, economical and socio-cultural area | |
Wu et al. | The spatial non-stationary effect of urban landscape pattern on urban waterlogging: A case study of Shenzhen City | |
CN112182234B (en) | Basin flood control planning data knowledge graph construction method | |
Dai et al. | Assessment and zoning of eco-environmental sensitivity for a typical developing province in China | |
Liang et al. | Assessing urban flood and drought risks under climate change, China | |
Shao et al. | The application of big data in the analysis of the impact of urban floods: A case study of Qianshan River Basin | |
CN102999694A (en) | Debris flow risk evaluation method in area with frequent mountain disasters | |
Wang et al. | Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model | |
Mingwu et al. | The comparative study on the ecological sensitivity analysis in Huixian karst wetland, China | |
Zhang et al. | How to develop site-specific waterlogging mitigation strategies? Understanding the spatial heterogeneous driving forces of urban waterlogging | |
Li et al. | Identification of urban waterlogging indicators and risk assessment based on MaxEnt Model: A case study of Tianjin Downtown | |
Wang et al. | Risk assessment of typhoon disaster chains in the Guangdong–Hong Kong–Macau greater bay area, China | |
Han et al. | Projected urban flood risk assessment under climate change and urbanization based on an optimized multi-scale geographically weighted regression | |
Anis et al. | Climate change risks to water security in Canada’s western interior | |
Zhao et al. | Spatial–temporal characteristics of surface thermal environment and its effect on Lake surface water temperature in Dianchi Lake basin | |
Tate et al. | An innovative flood forecasting system for the Demer basin: A case study | |
Korytny et al. | A geographical approach to water resource mapping for atlases | |
Ding et al. | The spatial overlay effect of urban waterlogging risk and land use value | |
Sun et al. | Rainstorm Waterlogging Simulation and Risk Assessment in Central Urban Area of Chengdu, China | |
Pan et al. | LSTM model-based rapid prediction method of urban inundation with rainfall time series | |
Mu et al. | Research on Multi-scale Highway Risk Prediction and Assessment in China | |
Huang et al. | Evaluating the surface water pollution risk of mineral resource exploitation via an improved approach: a case study in Liaoning Province, Northeastern China | |
Barrile et al. | Geomatics, soft computing, and innovative simulator: prediction of susceptibility to landslide risk | |
Yin | A GIS-based study of desert classification in Dangxiong County |