A model based approach for predicting annual poverty rates without expenditure data

Application of a data-based mechanistic

Application of a data-based mechanistic modelling (DBM) approach for predicting runoff generation in semi-arid regions

✍ S. Mwakalila; P. Campling; J. Feyen; G. Wyseure; K. Beven 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 228 KB

## Abstract This paper addresses the application of a data‐based mechanistic (DBM) modelling approach using transfer function models (TFMs) with non‐linear rainfall filtering to predict runoff generation from a semi‐arid catchment (795 km^2^) in Tanzania. With DBM modelling, time series of rainfall