document

The practice and opportunities in re-operating dams for the environment

Owusu, A.G. (author)

For most of the 20th century, the design and operation of dams prioritized traditional economic considerations such as hydropower generation, flood risk reduction and provision of water for irrigation and domestic use. This resulted in altered river flow regimes, degraded riverine ecosystems and ecosystem services, and biodiversity loss....

doctoral thesis 2022

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Combining Water Resources, Socioenvironmental, and Psychological Factors in Assessing Willingness to Conserve Groundwater in the Vietnamese Mekong Delta

Klessens, Tycho M.A. (author), Daniel, D. (author), Jiang, Yong (author), van Breukelen, B.M. (author), Scholten, L. (author), Pande, S. (author)

Freshwater resources in coastal areas are under intense pressure from excessive groundwater extraction, which amplifies saltwater intrusion (SWI) into coastal freshwater aquifers, such as in the Mekong Delta. Studies that combine socioenvironmental data and households' psychological factors next to salinity measurement data to design...

journal article 2022

document

Behavioral and socio-economic factors controlling irrigation adoption in Maharashtra, India

Hatch, Nathan R. (author), Daniel, D. (author), Pande, S. (author)

Psychological frameworks are rarely used to understand irrigation adoption behaviour in developing countries. A Bayesian belief network (BBN) model was developed that integrated socio-economic characteristics and psychological factors to understand farmer behaviours with respect to irrigation practices in four districts of Maharashtra, India....

journal article 2022

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Decision-making Support for Opening Government Data

Luthfi, A. (author)

Government institutions collect and produce an extraordinary number of datasets to conduct and execute their programs and agendas. Various types of datasets collected by the governments can increase transparency and accountability, improve citizen engagement, and create value-added services for the public. Through the Open Government Data (OGD)...

doctoral thesis 2021

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Barriers and Drivers for Private Investment in Nature-Based Solutions: A Transdisciplinary Analysis of Private Investment in Nature-Based Solutions Using Bayesian Belief Network Theory

Angulo Lopez, Marice (author)

A lack of understanding of ecosystem-related projects and scarcity of natural capital reimbursement mechanisms leads to passive involvement and hesitation from the private sector when investing in nature. This study conducts a systematic literature review, furnishes a database of the relevant barriers and drivers for the private investment in...

master thesis 2021

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Pupils returning to primary schools in England during 2020: Rapid estimations of punctual COVID-19 infection rates

Aspinall, W. P. (author), Sparks, R. S.J. (author), Woodhouse, M. J. (author), Cooke, R.M. (author), Scarrow, J. H. (author)

Drawing on risk methods from volcano crises, we developed a rapid COVID-19 infection model for the partial return of pupils to primary schools in England in June and July 2020, and a full return in September 2020. The model handles uncertainties in key parameters, using a stochastic re-sampling technique, allowing us to evaluate infection...

journal article 2021

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Socio-Economic and Psychological Determinants for Household Water Treatment Practices in Indigenous–Rural Indonesia

Daniel, D. (author), Pande, S. (author), Rietveld, L.C. (author)

Household water treatment (HWT) is one of the possible technologies to improve the quality of potable water in low–middle-income countries. However, many households still drink untreated water that leads to negative health consequences, highlighting the need for a behavioral study. This study explores the role of eight socio-economic...

journal article 2021

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Bayesian-belief Networks for Supporting Decision-making of the Opening Data by the Customs

Luthfi, A. (author), Rukanova, B.D. (author), Molenhuis, Marcel (author), Janssen, M.F.W.H.A. (author), Tan, Y. (author)

Open government data initiatives are part of the endeavor process of governments to show that they are accountable and transparent organizations. Opening more datasets to external data analytics providers or other government organizations holds the potential to help governments to improve their processes by promoting a better understanding and...

conference paper 2020

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Ship collision on temporary structures: Combi-walls under collision loading

Jansen, Johan (author)

When designing a construction pit adjacent to a navigation channel, the event of a ship colliding with the structure is something to take into account in the design of the pit. However, several aspects regarding ship collisions, i.e. the probability of occurrence of a collision, the magnitude of the collision force and the influence on the...

master thesis 2019

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The role of behavioural willingness on mitigating saltwater intrusion in the Vietnamese Mekong Delta: Combining socioeconomic data with groundwater simulations using Bayesian Belief Networks

Klessens, Tycho (author)

Fresh water resources in coastal areas are under intense pressure from groundwater consuming activities, sea level rise and extreme weather events, which effectively amplify salt water intrusion (SWI) into coastal freshwater aquifers. Literature on SWI describe the effects of SWI, model SWI scenarios and explain possible SWI mitigation...

master thesis 2019

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A regional application of bayesian modeling for coastal erosion and sand nourishment management

Giardino, Alessio (author), Diamantidou, Eleni (author), Pearson, S.G. (author), Santinelli, Giorgio (author), den Heijer, C. (author)

This paper presents an application of the Bayesian belief network for coastal erosion management at the regional scale. A "Bayesian erosion management network" (BERM-N) is developed and trained based on yearly cross-shore profile data available along the Holland coast. Profiles collected for over 50 years and at 604 locations were combined...

journal article 2019

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Understanding the effect of socio-economic characteristics and psychosocial factors on household water treatment practices in rural Nepal using Bayesian Belief Networks

Daniel, D. (author), Diener, Arnt (author), Pande, S. (author), Jansen, S.J.T. (author), Marks, Sara (author), Meierhofer, Regula (author), Bhatta, Madan (author), Rietveld, L.C. (author)

About 20 Million (73%) people in Nepal still do not have access to safely managed drinking water service and 22 million (79%)do not treat their drinking water before consumption. Few studies have addressed the combination of socio-economic characteristics and psychosocial factors that explain such behaviour in a probabilistic manner. In this...

journal article 2019

document

A Comparative Study of Methods for Deciding to Open Data

Luthfi, A. (author), Janssen, M.F.W.H.A. (author)

Governments may have their own business processes to decide to open data, which might be supported by decision-making tools. At the same time, analyzing potential benefits, costs, risks, and other effects-adverse of disclosing data are challenging. In the literature, there are various methods to analyze the potential advantages and...

conference paper 2019

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A Causal Explanatory Model of Bayesian-belief Networks for Analysing the Risks of Opening Data

Luthfi, A. (author), Janssen, M.F.W.H.A. (author), Crompvoets, Joep (author)

Open government data initiatives result in the expectation of having open data available. Nevertheless, some potential risks like sensitivity, privacy, ownership, misinterpretation, and misuse of the data result in the reluctance of governments to open their data. At this moment, there is no comprehensive overview nor a model to understand the...

conference paper 2018

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Bayesian Belief Networks (BBN) and Expert Systems for supporting model based sensor fault detection analysis of smart building systems

Schagen, J.D. (author), Taal, A. (author), Itard, L.C.M. (author)

The Hague University in Delft uses an advanced climate control system. All sensors and actuators are monitored and deviations from the sensor data are reported daily. The building manager will have to combine the information from the sensor data in order to draw the right conclusions. In this paper, two possible solutions are described for...

conference paper 2016

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Optimizing the maintenance interval by modeling the state of a conveyor belt

Berenbak, C.J. (author)

Traditionally, maintenance of conveyor belts is performed using corrective maintenance. This means that maintenance to conveyor belts is only performed if the belt fails or severe damage is detected to the belt. Visual inspections to the belt are carried out to detect defects to the belt before the belt fails. Once a belt fails or a defect is...

master thesis 2015

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R&D productivity in the pharmaceutical industry. Scenario simulations using a Bayesian belief network

Van Vierssen Trip, F.W. (author)

The pharmaceutical industry is in a R&D productivity crisis. Rapidly increasing development costs, decreasing profitability of new medical entities and missing breakthrough innovation are afflicting the future of the pharmaceutical industry. This complex problem requires a systems thinking approach. In this study, we ought to map the general...

master thesis 2013

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Food Benefit-Risk Assessment with Bayesian Belief Networks and Multivariable Exposure-Response

Gradowska, P.L. (author)

doctoral thesis 2013

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An Integrated Approach for Risk Assessment of CO2 Infrastructure in the COCATE Project

Kvien, K. (author), Flach, T. (author), Solomon, S. (author), Morales Napoles, O. (author), Hulsbosch-Dam, C. (author), Spruijt, M. (author)

An innovative risk analysis model has been developed in order to quantify and analyse safety risks related to loss-of- containment scenarios in the pipeline transport of CO2. The risk model integrates the identified failure modes, consequence estimates and emergency response, producing consistent risk profiles based on complete outcome spaces...

journal article 2013

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Bayesian Belief Nets and Vines in Aviation Safety and other Applications

Morales Nápoles, O. (author)

doctoral thesis 2010