Communicating flood risk to the public by cartography

Flood risk communication plays an important role in risk management, because it can strengthen people’s risk awareness and can motivate them to take precautionary actions. To inform the public about flood risks, the use of flood maps is encouraged by the recent EU Flood Directive (2007/60/EC). Mapping flood risks deals with the challenges of representing risks in a way people can understand and interpret them correctly. In this contribution, the use of flood maps is discussed within risk communication. Attention is further given to the cartographic principles of flood mapping and to the role of the Internet in communicating flood risks via web cartography. Eventually, the state of the flood risk mapping in Flanders (Belgium) is discussed, considering the theoretical aspects previously handled

Methodology for the strategy-oriented distribution of decision autonomy in global production networks

Multinational companies deal with production processes in various countries by operating global production networks. These production processes are allocated to production plants with different levels of autonomy regarding strategic and operative decisions. Typically, each plant and the whole network are managed by one or more network managers who have to deal with a decision overload in their daily business. 50% of their decisions are made in less than 9 minutes and only a small amount of decision tasks are dealt with for more than one hour. To reduce this dilemma, it was found that the distribution of decision autonomy can be enhanced. It depends on the company’s strategy and complexity dimensions in global production networks. However, so far there is little evidence on how to better distribute decision autonomy in global production networks in detail. Furthermore, it is not transparent at what level of cetralism a global production network should be managed without cutting the capabilities of production plants. This paper presents a methodology, which examines relevant strategy dimensions and derives guidance on how to distribute decisions in global production networks. First, the network and production strategies of global production networks are classified. Second, relevant complexity dimensions and decisions are introduced. Third, the influence of the distribution of decision autonomy on strategy dimensions is quantified by an impact model. Furthermore, the effect of complexity on the distribution of decision autonomy is quantified by an impact model. Here, the integration of empirical data was used to validate the different influences. Finally, the ideal distribution of decision autonomy for specific production plants in the global production network is derived. The methodology is applied in an industrial use case to prove its practical impact

SAFECoast: Comparison between different flood risk methodologies. Action 3B report - SAFECOAST Interreg IIIb North Sea Project

The Interreg IIIB project SAFECoast considers the question “How to manage our North Sea coasts in 2050?’ and focuses on the consequences of climate change and spatial developments with respect to safety from coastal flooding. Therefore, a team of coastal managers from the Netherlands, Germany, Belgium, Denmark and the UK are continuing their cooperation in SAFECoast which aims to build on each other’s experiences in, and understanding of coastal risk management. Flanders Hydraulics Research (FHR, located in Borgerhout, Belgium) has proposed a flood risk methodology in the past which makes it possible to compare different areas and different situations with a view to damage and risk calculations. In the past years, the methodology has been extended and improved, and meanwhile it is used in several studies in Flanders. This report is the contribution of Flanders Hydraulics Research to the SAFECoast project (action 3b). The goal is to compare basic parameters of the existing coastal risk methodologies and make an inventory of the strong and weak points of the different approaches. It is neither possible nor desirable to make a ranking of them. Because of data availability and case specific parameters and constraints, each methodology generally fits the best for the area they are made for. However we want to learn from them and incorporate good ideas to improve the existing methodologies. To improve coastal risk methodology means to make its results less uncertain, or more complete. In this study all the different sources of uncertainty are analysed and compared so it becomes possible to identify the weak links in the calculation chain

The syntax of ‘-cā’ (*-kwe) in Ahunavaiti Gāthā

This paper seeks to provide a full description of the syntactic behaviour of the enclitic co-ordinate conjunction -cā in the earliest stage of the Avestan language. By studying the occurrences of the particle in Ahunavaiti Gāthā, a distributive analysis is provided together with an interpretative hypothesis of its distributive dynamics. Two syntactic levels, phrase and sentence, are taken into consideration. Finally, a syntactic domain-based variation is argued and two clitic functional variants are identified as synchronically operating conjunction strategies

Methodology – A Review of Intelligent Manufacturing Scope, Strategy and Simulation

This paper presents a critical review of some existing modelling, control and optimization techniques for energy saving, carbon emission reduction in manufacturing processes. The study on various production issues reveals different levels of intelligent manufacturing approaches. Then methods and strategies to tackle the sustainability issues in manufacturing are summarized. Modelling tools such as discrete (dynamic) event system (DES/DEDS) and agent-based modelling/simulation (ABS) approaches are reviewed from the production planning and control prospective. These approaches will provide some guidelines for the development of advanced factory modelling, resource flow analysis and assisting the identification of improvement potentials, in order to achieve more sustainable manufacturing

A framework for increasing the availability of life cycle inventory data based on the role of multinational companies

Purpose The aim of the paper is to assesses the role and effectiveness of a proposed novel strategy for Life Cycle Inventory (LCI) data collection in the food sector and associated supply chains. The study represents one of the first of its type and provides answers to some of the key questions regarding the data collection process developed, managed and implemented by a multinational food company across the supply chain. Methods An integrated LCI data collection process for confectionery products was developed and implemented by Nestlé, a multinational food company. Some of the key features includes: (1) management and implementation by a multinational food company, (2) types of roles to manage, provide and facilitate data exchange, (3) procedures to identify key products, suppliers and customers, (4) LCI questionnaire and cover letter, and (5) data quality management based on the pedigree matrix. Overall, the combined features in an integrated framework provides a new way of thinking about the collection of LCI data from the perspective of a multinational food company. Results The integrated LCI collection framework spanned across five months and resulted in 87 new LCI datasets for confectionery products from raw material, primary resource use, emission and waste release data collected from suppliers across 19 countries. The data collected was found to be of medium-to-high quality compared with secondary data. However, for retailers and waste service companies only partially completed questionnaires were returned. Some of the key challenges encountered during the collection and creation of data included: lack of experience, identifying key actors, communication and technical language, commercial compromise, confidentiality protection, and complexity of multi-tiered supplier systems. A range of recommendations are proposed to reconcile these challenges which include: standardisation of environmental data from suppliers, concise and targeted LCI questionnaires, and visualising complexity through drawings. Conclusions The integrated LCI data collection process and strategy has demonstrated the potential role of a multinational company to quickly engage and act as a strong enabler to unlock latent data for various aspects of the confectionery supply chain. Overall, it is recommended that the research findings serve as the foundations to transition towards a standardised procedure which can practically guide other multinational companies to considerably increase the availability of LCI data

Drivers of risk perceptions about the invasive non-native plant Japanese knotweed in domestic gardens

This is the final version of the article. Available from Springer Verlag via the DOI in this record.How people perceive risks posed by invasive non-native plants (INNP) can influence attitudes and consequently likely influence behavioural decisions. Although some drivers of risk perception for INNP have been identified, research has not determined those for INNP in domestic gardens. This is concerning as domestic gardens are where people most commonly encounter INNP, and where impacts can be particularly acute. Using a survey approach, this study determined the drivers of perceptions of risk of INNP in domestic gardens and which risks most concern people. Japanese knotweed Fallopia japonica, in Cornwall, UK, where it is a problematic INNP in domestic gardens, was used as a case study. Possible drivers of risk were chosen a priori based on variables previously found to be important for environmental risks. Participants perceived Japanese knotweed to be less frequent on domestic property in Cornwall if their occupation involved the housing market, if they had not had Japanese knotweed in their own garden, if they did not know of Japanese knotweed within 5 km of their home, or if they were educated to degree level. Participants who thought that the consequences of Japanese knotweed being present on domestic property could be more severe had occupations that involved the housing market, knew of Japanese knotweed within 5 km of their home, or were older. Although concern about the damage Japanese knotweed could do to the structure of a property was reported as the second highest motivation to control it by the majority of participants, the perception of threat from this risk was rated as relatively low. The results of this study have implications for policy, risk communication, and garden management decisions. For example, there is a need for policy that provides support and resources for people to manage INNP in their local area. To reduce the impact and spread of INNP we highlight the need for clear and accurate risk communication within discourse about this issue. The drivers identified in this study could be used to target awareness campaigns to limit the development of over- or under-inflated risk perceptions.This project was funded as part of the Wildlife Research Co-Operative between the University of Exeter and the Animal and Plant Health Agency