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ALPMON FINAL REPORT - ARC systems research

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Contract ENV4-CT96-0359 <strong>ALPMON</strong><br />

land use classes as resulted from the investigations of the LfW in the hilly environment of the Vils test<br />

site (Molnár & Casper, 1998).<br />

Sulm test site<br />

In the Sulm test site, main emphasis was put on the preparation and implementation of additional<br />

information, such as meteorological parameters and soil maps, as well as the performance of ASGI for<br />

a selected time period. The Section of Water Resources of the Austrian Province of Styria was<br />

interested in testing whether the ASGI water run-off model is appropriate for integration into the flood<br />

information service of Styria. An important additional prerequisite of this customer was, that the model<br />

requires only data which are already available for the whole province of Styria, or data which can be<br />

acquired with limited financial and time effort for the whole country (total area of Styria: 16.400 km 2 ).<br />

The result of the Sulm test site study is a complete demonstration of the ASGI water run off model<br />

including a comparison of modelled and measured water run off.<br />

2.3.2.3 Implementation of Remote Sensing into the Model<br />

The programming system ASGI consists of the 4 main modules<br />

� Data management (Datenmanagement)<br />

� Data preparation (Präprozessor)<br />

� Data processing (Prozessor)<br />

� Data presentation (Postprozessor).<br />

The module "Data Management" includes<br />

� the project- and variant specific database management<br />

� the fast input of external data (including data check) and<br />

� the optional data storage and restoration.<br />

This module offers the interface to <strong>ALPMON</strong> caused by the need for grid-based data. The Bavarian<br />

State Office for Water Resources has the opinion, that the requirements can only be satisfied by using<br />

remote sensing data.<br />

The implementation of remote sensing into the model is provided for the present land use / land cover<br />

information. Looking forward to the high resolution satellite data of the future and the resulting need on<br />

high precision DEM for pre-processing this data, DEM generation from stereo satellite image data is a<br />

second link between ASGI (or more general, water run off models) and remote sensing.<br />

2.3.2.4 Run-off Modelling with ASGI (Sulm Test Site)<br />

The methods described below were selected based on the user requirements and the data layers<br />

needed for the water run-off model. In ASGI a so called ‘pre-processor’ module is used for the<br />

preparation of the spatial and temporal data. This comprises in a first step the conversion of the<br />

various data layers into the formats required by the model.<br />

The structure of ASGI is modular (based on the methods of the WASIM-ETH model), and often several<br />

calculation methods are offered to the user. In the project performed for the Section of Water<br />

Resources of the province Styria following approaches have been used:<br />

� Interpolation of meteorological input data by application of Inverse Distance Weighting Interpolation<br />

(IDW);<br />

� Calculation of potential evaporation after Hamon (Federer & Lash, 1983)<br />

� Estimation of the interception storage capacity dependent on leaf area index and degree of<br />

vegetation coverage, based on the landcover classification results<br />

� Infiltration model after Peschke (1987), based on Green and Ampt (1911)<br />

� Soil model: saturated area approach using the topographic index after Beven and Kirkby (1979).<br />

� Runoff separation into surface runoff, interflow, and baseflow<br />

� Routing of surface runoff by subdivision of the basin into flow time zones combined with a single<br />

linear storage routing.<br />

2.3.2.5 Results from Mangfall Test Site<br />

The results of the investigations delivered to the customer LfW are of two categories:<br />

JR, RSDE, ALU, LMU, Seibersdorf, WSL 33

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