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From detached to alarmed: How eco-emotion profiles predict concern and sacrifice for the planet
No full textThe rapid degradation of the environment is one of our greatest challenges in the 21st century. To avoid the worst consequences, human behavior change is required. The current study investigated how feelings about environmental problems (eco-emotions) predict concern for the natural environment and willingness to make sacrifices for it. Using a cross-sectional online sample of 286 New Zealand residents, latent profile analysis identified three profile groups with distinct patterns of eco-emotions: emotionally-detached (40%), emotionally-ambivalent (34%), and empathic-alarmed (26%). Validation analyses revealed that members of the empathic-alarmed segment reported significantly higher levels of environmental concern and willingness to make sacrifices for the environment than members of the emotionally-ambivalent segment, who in turn expressed greater concern and willingness to sacrifice than members of the emotionally-detached segment. Findings from this study suggest that inducing a combination of negative eco-emotions with compassion may be effective for promoting environmental concern and pro-environmental sacrifice.</jats:p
Utilising Smart-Meter Harmonic Data for Low-Voltage Network Topology Identification
No full textIdentifying the topology of low-voltage (LV) networks is becoming increasingly important. Having precise and accurate topology information is crucial for future network operations and network modelling. Topology identification approaches based on smart-meter data typically rely on Root Mean Square (RMS) voltage, current, and power measurements, which are limited in accuracy due to factors such as time resolution, measurement intervals, and instrument errors. This paper presents a novel methodology for identifying distribution network topologies through the utilisation of smart-meter harmonic data. The methodology introduces, for the first time, the application of voltage Total Harmonic Distortion (THD) and individual harmonic components (V2–V20) as topology identifiers. The proposed approach leverages the unique properties of harmonic distortion to improve the accuracy of topology identification. This paper first analyses the influential factors affecting topology identification, establishing that harmonic distortion propagation patterns offer superior discrimination compared to RMS voltage. Through systematic investigation, the findings demonstrate the potential of harmonic-based analysis as a more effective alternative for topology identification in modern power distribution systems
Towards ‘Nesting’ in the Environmental Humanities: A Transdisciplinary Approach to Narratives Across Theory and Practices
No full textWhich processes allow for a more effective employment of narratives as
tools for fostering actual individual and collective transformation in civil society in
response to current environmental crises? This article proposes ‘nesting’ as both a
concept and a methodology in the development, execution, and evaluation of
narrative-based workshops designed for direct and conscious engagement between
local communities and global manifestations of climate change. After offering a
critical examination of the semantic and metaphorical dimensions of ‘nesting,’ the
first part of the article illustrates ‘nesting’ as a concept serving as a theoretical and
applied framework for selecting and interpreting texts based on their potential to
inspire reflections and practices of ‘homebuilding’ and ‘engagement.’ The second part
examines ‘nesting’ as a methodology – proposed as an educational framework – to
provide guidance on practical engagements with selected narratives and local
communities. It outlines a step-by-step procedure for developing narrative-based
workshops structured around four key terms: narrating, embodying, sensing, and
transmitting
