Dynamic integrated water quality modelling: A case study of the Lambro River, northern Italy

In this paper an integrated modelling approach is presented and applied to a 26km stretch of the Lambro River downstream of the Merone Wastewater Treatment Plant in northern Italy. The sub-models used (ASM1 for the treatment plant and RWQM1 for the river) have been implemented in the WEST® simulator. Hydraulics and quality processes of the Lambro River have been modelled with a ‘tanks in series’ approach. The purpose of this study is to model the effect on river water quality of an insufficient treatment capacity of the WWTP. The plant was constantly operating at its maximum hydraulic capacity, leading to a daily bypass of dry weather wastewater, which imposed a marked diurnal cycle on pollutant concentrations in the river. The assessment of the actual WWTP upgrade has confirmed its beneficial effect on the river water quality.Keywords: ASM1, integrated modelling, LAS, model interfaces, RWQM

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Model connectors for integrated simulations of urba

Automated measurement stations for river water quality monitoring. Mededelingen Faculteit Landbouwkundige en Toegepaste Biologische Wetenschappen 64(5a

The recent technological developments in analysis and sampling systems as well as the need for high resolution datasets for integrated water quality modelling have led to the increased application of Automated Measurement Stations (AMS) in river water quality monitoring projects. However, the investment and maintenance costs of AMS are high and therefore considerable prior research is essential before defining, ordering, buying, setting up and running AMS (Goethals et al., 1999). Moreover, still a lot of operational problems are inherent to these systems. This often leads to inaccurate and unreliable measurements. To optimise the application of AMS an in depth integrated quality control study is essential. Most of the problems find their origin at sensor level, but also other parts within the measurement process may be affected by technical problems so that every aspect of the measurement process must be controlled (Goethals et al., 1999). SETTING UP THE AMS AND FIRST VALIDATION In this study, an application of AMS for monitoring river water quality is evaluated. In 1998, the University of Gent and the Free University of Brussels bought three identical AMS (Fig. 1) for river water quality monitoring. A pump placed in the river continuously supplies water to the station. Insid