22.03.2015 Views

1 Spatial Modelling of the Terrestrial Environment - Georeferencial

1 Spatial Modelling of the Terrestrial Environment - Georeferencial

1 Spatial Modelling of the Terrestrial Environment - Georeferencial

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Editorial: <strong>Spatial</strong> <strong>Modelling</strong><br />

in Hydrology<br />

Richard E.J. Kelly<br />

The simulation and prediction <strong>of</strong> hydrological state variables have been a significant occupation<br />

<strong>of</strong> hydrologists for more than 70 years. For example, Anderson and Burt (1985) noted<br />

that Sherman (1932) devised <strong>the</strong> unit hydrograph method to simulate location-specific river<br />

run<strong>of</strong>f with a very simple parameterization and data input. Clearly introduced before <strong>the</strong><br />

availability <strong>of</strong> high performance and relatively inexpensive computers, this method ‘was<br />

to dominate <strong>the</strong> hydrology for more than a quarter <strong>of</strong> a century, and (is) one which is still<br />

in widespread use today’ (Anderson and Burt, 1985). The approach is spatial inasmuch as<br />

it represents in a ‘lumped’ fashion upstream catchment processes convergent at <strong>the</strong> point<br />

where run<strong>of</strong>f is simulated. While <strong>the</strong> unit hydrograph has been a very useful tool for water<br />

resource management, hydrologists have sought to ‘spatialize’ <strong>the</strong>ir methodologies <strong>of</strong> simulation<br />

(and ultimately prediction) to account for variations <strong>of</strong> catchment processes in two<br />

and three spatial dimensions. A primary need to do this has been to be able to represent<br />

systems dynamically and especially when a system is affected by an extreme event, such<br />

as a flood. Conceptually, this shift towards understanding and accounting for complex hydrological<br />

process, has manifested itself in <strong>the</strong> form <strong>of</strong> a move towards physically based<br />

models and away from simple statistically deterministic models. From <strong>the</strong> 1980s onwards,<br />

and perhaps inevitably, <strong>the</strong> availability <strong>of</strong> relatively high performance computers that could<br />

undertake vast numbers <strong>of</strong> calculations has allowed <strong>the</strong> numerical representation <strong>of</strong> distributed<br />

hydrological processes in a catchment. As a result, <strong>the</strong> propensity for models to<br />

become complex has only been a small step on. Now, complex hydrological models can<br />

be executed, in standard ‘desktop’ computer environments. Fur<strong>the</strong>rmore, <strong>the</strong> challenges<br />

facing hydrologists engaged in simulation and prediction are not so much those <strong>of</strong> technology<br />

(although this aspect is constantly pushed forward by ever demanding requirements<br />

<strong>Spatial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>the</strong> <strong>Terrestrial</strong> <strong>Environment</strong>. Edited by R. Kelly, N. Drake, S. Barr.<br />

C○ 2004 John Wiley & Sons, Ltd. ISBN: 0-470-84348-9.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!