Abstract. Many decision makers are hindered in their daily work by "unintegrated" systems which can force them to move data around between tools which are only more or less compatible. Because environmental models play an important role in environmental decision support systems, the integration of models into user-friendly integrated decision support systems is essential to the support of such users. This paper presents a decision support system supporting users involved in the protection of the Coatzacoalcos River in Mexico near the largest agglomeration of petrochemical installations in Mexico, which are operated by the Mexican oil company Petroleos Mexicanos. At the same time, the area is densely populated and important for agriculture.The system was built in a collaboration of the Mexican Petroleum Institute, the Environmental Informatics Group, and cismet GmbH and is based on cismet's geospatial application suite called cids. It integrates several tools and models into a holistic, user-centered application.

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Decision makers involved in prevention of water contamination often lack the technical knowledge of water quality evaluation or the comprehension of complex software for environmental information management required to make effective decisions. Providing information about the environment is not an easy task due to its complex structure, relationships, and dynamic processes. Because environmental models play an important role in environmental decision support systems, the integration of models into user-friendly integrated information systems is a key factor in the support of such users. This paper presents an environmental information system which supports water protection of Coatzacoalcos River in Mexico, having as a main building block water quality assessments supported by mathematical modeling through the two-dimensional Saint Venant and Advection-Diffusion-Reaction equations to calculate the river hydrodynamics and the contaminant transport, respectively. The mathematical modeling solution yields appropriate results representing the river contaminant distribution when compared with field measurements. But the direct use of these models by decision makers is difficult at best, meaning they are not likely to be used in making practical decisions. The system described in this paper integrates these models, and several other tools, into a seamless, user-centered application, improving model usability, initial configuration, and results visualization.

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