𝔖 Bobbio Scriptorium
✦   LIBER   ✦

State Space Identification of Linear Deterministic Rainfall-Runoff Models

✍ Scribed by Ramos, José; Mallants, Dirk; Feyen, Jan

Book ID
118667698
Publisher
American Geophysical Union
Year
1995
Tongue
English
Weight
812 KB
Volume
31
Category
Article
ISSN
0043-1397

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

LINEAR RAINFALL–RUNOFF SYSTEM IDENTIFICA
LINEAR RAINFALL–RUNOFF SYSTEM IDENTIFICATION WITH RAMIFICATIONS FOR MODELLING CATCHMENT PROCESSES
✍ C. R. DIETRICH 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 655 KB

The convolution assumption between excess rainfall and runoff provides a framework in which catchment runoff can be predicted with reasonable accuracy and moderate computational cost. Associated with it, the deconvolution problem of estimating unitgraph ordinates from rainfall-runoff events involves

Identification of physical processes inh
Identification of physical processes inherent in artificial neural network rainfall runoff models
✍ Ashu Jain; K. P. Sudheer; Sanaga Srinivasulu 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 286 KB

## Abstract The emergence of artificial neural network (ANN) technology has provided many promising results in the field of hydrology and water resources simulation. However, one of the major criticisms of ANN hydrologic models is that they do not consider/explain the underlying physical processes