Component Software Systems for Surface Water Simulation

Postma, L.; Boderie, P.M.A.; Gils, J.A.G. van; Beek, J.K.L. van

doi:10.1007/3-540-44860-8_67

Cited by 9 publications

(9 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, estuarine hydrodynamics were derived from the hydrodynamic module Delft3D-FLOW (Lesser et al, 2004). Second, E. coli concentrations were computed by means of the transport module D-Water Quality (Postma et al, 2003). This coupling has been applied in other studies, confirming its ability to simulate hydrodynamics, transport and mixing in complex…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Artificial neural networks as emulators of process-based models to analyse bathing water quality in estuaries

et al. 2019

View full text Add to dashboard Cite

Highlights • The method integrates laboratory analyses, numerical modelling and machine learning. • ANN configuration for predicting E. coli concentration in estuaries is determined. • ANNs are viable emulators of process-based models driven by highly variable forcing. • The longer forecasting, the greater the reduction in computational time using ANN. • Real-time management of bathing water quality is enabled by using ANNs.

show abstract

Section: Accepted Manuscriptmentioning

confidence: 99%

Artificial neural networks as emulators of process-based models to analyse bathing water quality in estuaries

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Water quality is assessed using DWAQ [46,47] by combining RIBASIM discharges with pollutant load estimates. DWAQ applies the advection-diffusion equation using a numerical solution based on finite volumes derived from the RIBASIM calculation grid to obtain pollutant concentrations of, among others, BOD5 (Biological Oxygen Demand in 5 days) and coliform bacteria.…”

Section: Water-quality Modelmentioning

confidence: 99%

Participatory Modelling of Surface and Groundwater to Support Strategic Planning in the Ganga Basin in India

Vat

Boderie

Bons

et al. 2019

Water

View full text Add to dashboard Cite

The Ganga Basin in India experiences problems related to water availability, water quality and ecological degradation because of over-abstraction of surface and groundwater, the presence of various hydraulic infrastructure, discharge of untreated sewage water, and other point and non-point source pollution. The basin is experiencing rapid socio-economic development that will increase both the demand for water and pollution load. Climate change adds to the uncertainty and future variability of water availability. To support strategic planning for the Ganga Basin by the Indian Ministry of Water Resources, River Development and Ganga Rejuvenation and the governments of the concerned Indian states, a river basin model was developed that integrates hydrology, geohydrology, water resources management, water quality and ecology. The model was developed with the involvement of key basin stakeholders across central and state governments. No previous models of the Ganga Basin integrate all these aspects, and this is the first time that a participatory approach was applied for the development of a Ganga Basin model. The model was applied to assess the impact of future socio-economic and climate change scenarios and management strategies. The results suggest that the impact of socio-economic development will far exceed the impacts of climate change. To balance the use of surface and groundwater to support sustained economic growth and an ecologically healthy river, it is necessary to combine investments in wastewater treatment and reservoir capacity with interventions that reduce water demand, especially for irrigation, and that increase dry season river flow. An important option for further investigation is the greater use of alluvial aquifers for temporary water storage.

show abstract

“…Moreover, it serves as a base model for flood management evaluation and for assessing the ecohydrological developments. Sobek is a flow and transport model that solves the momentum and continuity equations for surface flow, as well as the advection diffusion equation for transport, in one and two dimensions, to model shallow overland flow in, for example, floodplains, polders or detention areas (Verwey, 2001;Postma et al, 2003). The model application for this study builds upon the existing one-dimensional (1-D) model of the Sava, which has been developed for the International Commission for the Protection of the Danube River (Van Gils & Bendow, 2000).…”

Section: Hydrological Modelmentioning

confidence: 99%

Flood Detention, Nature Development and Water Quality along the Lowland River Sava, Croatia

Baptist¹,

Haasnoot²,

Cornelissen³

et al. 2006

Hydrobiologia

View full text Add to dashboard Cite

The construction or designation of detention areas along lowland rivers is considered along many European rivers. Since Croatia accommodates large detention areas, both natural (e.g., Mokro Polje) and controlled (Lonjsko Polje), it serves as an excellent example for planned detention areas elsewhere in Europe. This modelling study focuses on the controlled detention area of Lonjsko Polje. The flooding characteristics of the area are assessed in combination with the vegetation development and the transport and storage of sediment and phosphorus. Results of the modelling show that it is not so much the intake capacity that determines the flood duration time of a detention area, but the drainage capacity. A too long inundation duration following a flood event is shown to lead to major shifts in the vegetation composition. The results further indicate that about 30% of the sediment and adsorbed phosphorus that enters the detention area during an extreme (1:100 years) flood is retained within the area; this is about 10% of the total sediment and adsorbed phosphorus load of the Sava. Results of this study can be used to properly design and manage detention areas along lowland rivers.

show abstract

Component Software Systems for Surface Water Simulation

Cited by 9 publications

References 4 publications

Artificial neural networks as emulators of process-based models to analyse bathing water quality in estuaries

Artificial neural networks as emulators of process-based models to analyse bathing water quality in estuaries

Participatory Modelling of Surface and Groundwater to Support Strategic Planning in the Ganga Basin in India

Flood Detention, Nature Development and Water Quality along the Lowland River Sava, Croatia

Contact Info

Product

Resources

About