An appropriateness framework for the Dutch Meuse decision support system

Xu, Yue‐Ping; Booij, Martijn J.; Mynett, Arthur E.

doi:10.1016/j.envsoft.2007.01.002

Cited by 31 publications

(20 citation statements)

References 41 publications

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“…Specifically, the main issues hampering such applications may be summarised as (taken from Butler & Schü tze 2005;Vanrolleghem et al 2005;Mannina et al 2006;Matthies et al 2006;Achleitner et al 2007;Dorner et al 2007;Letcher et al 2007;Xu et al 2007;Benedetti et al 2007Benedetti et al , 2008; Barthel et al 2008;Freni et al 2008a;Freni et al 2009a,b): † The responsibilities regarding the planning and management of sewer systems, WWTP, and water bodies have been split between different authorities in most European countries. † Models for the different sub systems have been developed independently.…”

Section: Introductionmentioning

confidence: 99%

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Freni

Mannina

Viviani

2010

Water Science and Technology

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In the past three decades, scientific research has focused on the preservation of water resources, and in particular, on the polluting impact of urban areas on natural water bodies. One approach to this research has involved the development of tools to describe the phenomena that take place on the urban catchment during both wet and dry periods. Research has demonstrated the importance of the integrated analysis of all the transformation phases that characterise the delivery and treatment of urban water pollutants from source to outfall. With this aim, numerous integrated urban drainage models have been developed to analyse the fate of pollution from urban catchments to the final receiving waters, simulating several physical and chemical processes. Such modelling approaches require calibration, and for this reason, researchers have tried to address two opposing needs: the need for reliable representation of complex systems, and the need to employ parsimonious approaches to cope with the usually insufficient, especially for urban sources, water quality data. The present paper discusses the application of a be-spoke model to a complex integrated catchment: the Nocella basin (Italy). This system is characterised by two main urban areas served by two wastewater treatment plants, and has a small river as the receiving water body. The paper describes the monitoring approach that was used for model calibration, presents some interesting considerations about the monitoring needs for integrated modelling applications, and provides initial results useful for identifying the most relevant polluting sources.

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Section: Introductionmentioning

confidence: 99%

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Freni

Mannina

Viviani

2010

Water Science and Technology

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“…Others [5,6] defined appropriateness on the basis of requirements on the model output accuracy. Both aspects, internal consistency and required output accuracy, have been combined in other appropriate modelling studies as well [7][8][9][10][11]. Concerning the aspect of internal consistency, problems may arise particularly when coupling models of different nature (e.g., qualitative vs. quantitative, deterministic vs. statistical, lumped vs. distributed, static vs. dynamic) within a DSS.…”

Section: Introductionmentioning

confidence: 99%

Deterministic-statistical Model Coupling in a DSS for River-Basin Management

Kok

Booij

2008

Environ Model Assess

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This paper presents a method for appropriate coupling of deterministic and statistical models. In the decision-support system for the Elbe river, a conceptual rainfall-runoff model is used to obtain the discharge statistics and corresponding average number of flood days, which is a key input variable for a rule-based model for floodplain vegetation. The required quality of the discharge time series cannot be determined by a sensitivity analysis because a deterministic model is linked to a statistical model. To solve the problem, artificial discharge time series are generated that mimic the hypothetical output of rainfallrunoff models of different accuracy. The results indicate that a feasible calibration of the rainfall-runoff model is sufficient to obtain consistency with the vegetation model in view of its sensitivity to changes in the number of flood days in the floodplains.

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“…While considerable efforts have been made to bridge the gap between the production and use of scientific knowledge in decision making [5,9,[20][21][22][23][24][25][26], many authors continue to highlight a mismatch between supply and demand [1, 2,10,12,20,[27][28][29], suggesting the need for further insight into the production as well as the use and utility of such knowledge and tools in practice. Much of the existing literature on creating 'usable' science focuses on opportunities and challenges without delving into what exactly this information is used or useful for in the context of environmental decision making.…”

Section: Introductionmentioning

confidence: 99%

Use and Utility: Exploring the Diversity and Design of Water Models at the Science-Policy Interface

Chong

Bach

Moilleron

et al. 2017

Water

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Effort to narrow the gap between the production and use of scientific knowledge for environmental decision-making is gaining traction, yet in practice, supply and demand remains largely unbalanced. A qualitative study based on empirical analysis offers a novel approach to exploring key factors, focussing on seven water models in the context of two organisations at the science-policy interface: the PIREN-Seine in France and the CRC for Water Sensitive Cities in Australia. Tentative linkages drawn from these examples identify: (1) objective and expertise; (2) knowledge and tools; and (3) support structures as main drivers influencing the production of scientific knowledge which, in turn, affect the use and utility of modelling tools. Further insight is gained by highlighting the wide spectrum of uses and utilities existing in practice, suggesting that such 'boundary organisations' facilitate interactions and exchanges that give added value to scientific knowledge. Coordinated strategies that integrate inter-, extra-, and intra-boundary activities, framed through collaborative scenario building and the use of interactive modelling platforms, may offer ways to enhance the use and utility of scientific knowledge (and its tools) to better support water resources management, policy and planning decisions, thus promoting a more cohesive relationship between science and policy.

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An appropriateness framework for the Dutch Meuse decision support system

Cited by 31 publications

References 41 publications

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Urban water quality modelling: a parsimonious holistic approach for a complex real case study

Deterministic-statistical Model Coupling in a DSS for River-Basin Management

Use and Utility: Exploring the Diversity and Design of Water Models at the Science-Policy Interface

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