Introduction - Hydrological Data Driven Modelling - page 13

function of the model complexity, model sensitivity and model error. Major studies
made in this Topic are conducted on the upper Brue catchment, Somerset, using the
HYREX data set. However, for evapotranspiration estimation, we have used data
from three other catchments, namely the Santa Monica station of the USA, the
Chahnimeh reservoirs region of Iran and the Beas basin in India. The details of the
catchments including location speci cation and data collection description are

given in each case study. The detailed illustration of statistical parameters of the
data used for the modelling is given in respective case study chapters. Different
novel approaches in data selection methods are introduced and discussed in detail in
Chap. 3 . The novel approach called the Gamma Test has been described along with
other mathematically sound techniques like Entropy Theory, Cluster Analysis,
PCA, BIC and AIC and other traditional approaches. Chapter 4 gives details data
driven models used in this study (ANNs, ANFIS, SVMs, and other hybrid forms).
Chapters 5 , 6 and 7 focuses different case studies on research themes like solar
radiation modelling, rainfall-runoff dynamics and evapotranspiration modelling.
Chapter 8 describes mathematical details of state-of-art Statistical Blockade and a
river basin scale case study to illustrate its capability in extreme value modelling.

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