Advances in data-based approaches for hydrologic modeling and forecasting
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Hackensack, N.J. :
World Scientific,
c2010.
|
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Setting the stage
- Stochastic methods for modeling precipitation and streamflow
- Model calibration in watershed hydrology
- Scaling and fractals in hydrology
- Remote sensing for precipitation and hydrologic applications
- Nearly two decades of neural network hydrologic modeling
- Evolutionary computing in hydrology
- Wavelet analyses in hydrology
- Nonlinear dynamics and chaos in hydrology
- Summary and future.