180 research outputs found

    Uncertainty Assessment for Management of Soil Contaminants with Sparse Data

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    In order for soil resources to be sustainably managed, it is necessary to have reliable, valid data on the spatial distribution of their environmental impact. However, in practice, one often has to cope with spatial interpolation achieved from few data that show a skewed distribution and uncertain information about soil contamination. We present a case study with 76 soil samples taken from a site of 15 square km in order to assess the usability of information gleaned from sparse data. The soil was contaminated with cadmium predominantly as a result of airborne emissions from a metal smelter. The spatial interpolation applies lognormal anisotropic kriging and conditional simulation for log-transformed data. The uncertainty of cadmium concentration acquired through data sampling, sample preparation, analytical measurement, and interpolation is factor 2 within 68.3 % confidence. Uncertainty predominantly results from the spatial interpolation necessitated by low sampling density and spatial heterogeneity. The interpolation data are shown in maps presenting likelihoods of exceeding threshold values as a result of a lognormal probability distribution. Although the results are not deterministic, this procedure yields a quantified and transparent estimation of the contamination, which can be used to delineate areas for soil improvement, remediation, or restricted area use, based on the decision-makers' probability safety requiremen

    From environmental information systems to social networks: fostering co-operation in the ETH-UNS Case Study for sustainable regional development

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    Abstract The ETH-UNS Case Study is part of the master program in Environmental Sciences. It is a hybrid combining teaching, research, and application. Joint problem solving between science and society is a major principle of our work. In our view, such approaches are a prerequisite in developing strategies towards a sustainable society. However, this requires improved organization of knowledge, co-operation of work and communication among all people involved. Co-operation and communication is needed at least (a) within and between the different study teams, (b) between the study teams and local agents and (c) among local agents with a view to sustain local social networks. Since its beginning in 1994, the ETH-UNS Case Study has used a broad set of IT-tools to support co-ordination, communication and co-operation of work. Starting form a incomplete peer-to-peer system, we advanced to a centralized file sharing system, and are now embarking into an integrated, dynamic network approach. A new web-based information system, named «living document», will be updated and supplemented continuously. The «living document» will support group work, communication among participants from inside and outside university and co-ordination of activities

    From risk to vulnerability : the role of perceived adaptive capacity for the acceptance of contested infrastructure

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    Infrastructure projects such as repositories for nuclear waste or hazardous waste sites impose risks (in the form of potential burdens or losses) over extensive timescales. These risks change dynamically over time and so, potentially, does their management. Societies and key actors go through learning processes and subsequently may be better able to deal with related challenges. However, social scientific research on the acceptance of such projects is mainly concerned with (static) risk perception issues and does not include dynamic aspects. Adaptive capacity, which is part of the concept of vulnerability, therefore represents a promising complementing facet for this line of research. The aim of this paper is to examine the role of perceived adaptive capacity for the acceptance of contested long-term infrastructure for the two issues of nuclear and hazardous waste. In an online experimental survey (N = 300) examining either the acceptance of a nuclear waste repository or of a hazardous waste site we demonstrate that i) perceived adaptive capacity can be separated empirically as a psychological construct from risk and benefit perception, and ii) perceived adaptive capacity explains a significant additional share of variance in the acceptance of both waste types beyond risk and benefit perception. Furthermore, we report what adaptation mechanisms of perceived adaptive capacity participants expect to occur in the future. We conclude that such a dynamic perspective yields important insights in understanding individual decision-making regarding long-term infrastructure projects

    The Trade-Off between Phosphorus Recycling and Health Protection during the BSE Crisis in Switzerland. A “Disposal Dilemma”

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    Phosphorus (P) is an essential, finite resource whose geological, economic, and geopolitical accessibility may become critical in the future. Because P losses from agriculture, sewage and waste have serious environmental impacts such as eutrophication, it would be desirable to close P cycles. However, there may arise dilemmas due to trade-offs with other issues. For instance, recycling of animal bones – containing relatively high amounts of P – was prohibited in Switzerland after the BSE crisis (1989 to 2000) due to perceived health risks. Our analysis indicates that the great- est potentials for closing the P cycle in Switzerland are to reduce P losses in agriculture and to increase P recovery from sewage and waste. Whereas in agriculture significant improvements have been made, the disposal dilemma of animal bones led to diminishing amounts of P being recycled from waste. Based on their risk perception, the involved stakeholders prioritized preventing potential harm to (human) health over maximizing P recycling

    South American Expert Roundtable : increasing adaptive governance capacity for coping with unintended side effects of digital transformation

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    This paper presents the main messages of a South American expert roundtable (ERT) on the unintended side effects (unseens) of digital transformation. The input of the ERT comprised 39 propositions from 20 experts representing 11 different perspectives. The two-day ERT discussed the main drivers and challenges as well as vulnerabilities or unseens and provided suggestions for: (i) the mechanisms underlying major unseens; (ii) understanding possible ways in which rebound effects of digital transformation may become the subject of overarching research in three main categories of impact: development factors, society, and individuals; and (iii) a set of potential action domains for transdisciplinary follow-up processes, including a case study in Brazil. A content analysis of the propositions and related mechanisms provided insights in the genesis of unseens by identifying 15 interrelated causal mechanisms related to critical issues/concerns. Additionally, a cluster analysis (CLA) was applied to structure the challenges and critical developments in South America. The discussion elaborated the genesis, dynamics, and impacts of (groups of) unseens such as the digital divide (that affects most countries that are not included in the development of digital business, management, production, etc. tools) or the challenge of restructuring small- and medium-sized enterprises (whose service is digitally substituted by digital devices). We identify specific issues and effects (for most South American countries) such as lack of governmental structure, challenging geographical structures (e.g., inclusion in high-performance transmission power), or the digital readiness of (wide parts) of society. One scientific contribution of the paper is related to the presented methodology that provides insights into the phenomena, the causal chains underlying “wanted/positive” and “unwanted/negative” effects, and the processes and mechanisms of societal changes caused by digitalization

    Towards a Learning System for University Campuses as Living Labs for Sustainability

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    Universities, due to their sizeable estates and populations of staff and students, as well as their connections with, and impact within, their local and wider communities, have significant environmental, social and economic impacts. There is a strong movement for universities to become leaders in driving society towards a more sustainable future, through improving the sustainability of the built environment and the universities’ practices and operations, and through their educational, research and wider community engagement missions. Around the globe the concept of ‘Living Labs’ has emerged as an instrument to integrate these different aspects to deliver sustainability improvements, through engaging multiple stakeholders in all of these areas, and through the co-creation of projects to improve the sustainability of the campus environment and operations, and to link these to the education, research, and wider community missions of the institution. This chapter describes a living, shared framework and methodology, the ‘Campus as Living Lab’ learning system, created through global participatory workshops and Living Lab literature, aimed at supporting universities and their Sustainability (Coordinating) Offices in the development and monitoring of Living Lab projects. The framework includes seven categories of supportive data collection and three levels of details to meet different requirements of potential users. The Living Lab framework presented in this chapter, aims to create value and help universities maximise the benefit of Living Lab projects within an institution, support monitoring, reflection and learning from projects, and facilitate communication with stakeholders, and the sharing of practices and learning between peers across the globe. As a living shared, framework and learning system, the framework will adapt and develop over time and within different contexts. To provide feedback and fast (practical) learning from users, the system will be further developed to facilitate transparent peer reviewing

    A Pair of Dopamine Neurons Target the D1-Like Dopamine Receptor DopR in the Central Complex to Promote Ethanol-Stimulated Locomotion in Drosophila

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    Dopamine is a mediator of the stimulant properties of drugs of abuse, including ethanol, in mammals and in the fruit fly Drosophila. The neural substrates for the stimulant actions of ethanol in flies are not known. We show that a subset of dopamine neurons and their targets, through the action of the D1-like dopamine receptor DopR, promote locomotor activation in response to acute ethanol exposure. A bilateral pair of dopaminergic neurons in the fly brain mediates the enhanced locomotor activity induced by ethanol exposure, and promotes locomotion when directly activated. These neurons project to the central complex ellipsoid body, a structure implicated in regulating motor behaviors. Ellipsoid body neurons are required for ethanol-induced locomotor activity and they express DopR. Elimination of DopR blunts the locomotor activating effects of ethanol, and this behavior can be restored by selective expression of DopR in the ellipsoid body. These data tie the activity of defined dopamine neurons to D1-like DopR-expressing neurons to form a neural circuit that governs acute responding to ethanol
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