Just like google earth, we are putting more efforts to generate 3D city models with more and more details both in geometry and semantics. However, we can not see the indispensable requirements of 3D city models except 3D visualizations and games. I would like to see the comments and suggestions from different fields. Then we may summarize the basic scientific problems that 3D city models can solve
As I know, the 3D city models could be used in the field of urban air quality modeling.
The current urban surface parameterizations and schemes could not accurately elaborate the structure of cities in air quality models such as WRF-chem, CMAQ etc.
I think if you could coupled the parameters or the structure description method in your 3D city models with the urban climate / air quality models, that will promote a lot to the climate and pollution studies.
and maybe this review will help you:
http://onlinelibrary.wiley.com/doi/10.1002/joc.2158/abstract
As I know, the 3D city models could be used in the field of urban air quality modeling.
The current urban surface parameterizations and schemes could not accurately elaborate the structure of cities in air quality models such as WRF-chem, CMAQ etc.
I think if you could coupled the parameters or the structure description method in your 3D city models with the urban climate / air quality models, that will promote a lot to the climate and pollution studies.
and maybe this review will help you:
http://onlinelibrary.wiley.com/doi/10.1002/joc.2158/abstract
Here's a few to get started:
- hydrological modeling (for storm water management and also for fee calculation)
- solar potential
- taxing based on view quality
- microclimate (highly local wind + temp + exposure)
- shadow + glare analysis
- urban area comparison (indicator-based)
- research into urban forms and structures
DCM can be utilize in disaster management / preparedness like in case of flood, fire, Cyclone etc.
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