Publications

Synthesis of global satellite observations of magmatic and volcanic deformation: implications for volcano monitoring & the lateral extent of magmatic domains

Publication ID: pub.1100861459

Publication date: 06/02/2018

Keywords: Database; Deformation; Global; InSAR; Magma; Monitoring; Mush; Satellite; Volcano

Global Synthetic Aperture Radar (SAR) measurements made over the past decades provide insights into the lateral extent of magmatic domains, and capture volcanic process on scales useful for volcano monitoring. Satellite-based SAR imagery has great potential for monitoring topographic change, the distribution of eruptive products and surface displacements (InSAR) at subaerial volcanoes. However, there are […]

Social sensing of floods in the UK

Publication ID: pub.1100751371

Publication date: 31/01/2018

Keywords: Bayes Theorem; Crowdsourcing; Datasets as Topic; Floods; Humans; Social Media; United Kingdom

“Social sensing” is a form of crowd-sourcing that involves systematic analysis of digital communications to detect real-world events. Here we consider the use of social sensing for observing natural hazards. In particular, we present a case study that uses data from a popular social media platform (Twitter) to detect and locate flood events in the […]

Media coverage of the Zika crisis in Brazil: The construction of a ‘war’ frame that masked social and gender inequalities

Publication ID: pub.1100739616

Publication date: 31/01/2018

Keywords: Brazil; Female; Health Status Disparities; Humans; Male; Mass Media; Microcephaly; Mosquito Control; Pregnancy; Public Policy; Sex Distribution; Social Theory; Socioeconomic Factors; Zika Virus Infection

Between 2015 and 2016, Zika became an epidemic of global concern and the focus of intense media coverage. Using a hybrid model of frame and social representations theory, we examine how the Zika outbreak was reported in two major newspapers in Brazil: O Globo and Folha de São Paulo. The analysis of 186 articles published […]

Building adaptive capacity to climate change in tropical coastal communities

Publication ID: pub.1100570920

Publication date: 29/01/2018

Keywords: Adaptive Capacity; Agency; Assets; Civil Society Organisations; Climate Change; Development Agencies; Flexibility; Global; Governments; Investment; Organize and Act; Respond to Change; Tropical Coastal Communities

To minimize the impacts of climate change on human wellbeing, governments, development agencies, and civil society organizations have made substantial investments in improving people’s capacity to adapt to change. Yet to date, these investments have tended to focus on a very narrow understanding of adaptive capacity. Here, we propose an approach to build adaptive capacity […]

A facile synthesis of porous graphene for efficient water and wastewater treatment

Publication ID: pub.1100592856

Publication date: 29/01/2018

Keywords: Adsorption Capacity; Corrosion Resistance; Cost; Electric and Thermal Mobility; Hydrophobicity; Mechanical Strength; Porous Graphene; Recyclability; Surface Area; Surface Chemistry; Synthesis Method; Wastewater Treatment; Water Treatment

The use of two-dimensional graphene-based materials in water treatment has recently gained significant attention due to their unique electronic and thermal mobility, high surface area, high mechanical strength, excellent corrosion resistance and tunable surface chemistry. However, the relatively expensive, poor hydrophobicity, low adsorption capacity and recyclability, and complex post-treatment of the most pristine graphene frameworks […]

A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization

Publication ID: pub.1061605340

Publication date: 26/01/2018

Keywords: Computational Cost; Kriging; Model Management; Multiobjective Optimization; Reference Vectors; Surrogate-assisted Evolutionary Algorithms (SAEAs)

We propose a surrogate-assisted reference vector guided evolutionary algorithm (EA) for computationally expensive optimization problems with more than three objectives. The proposed algorithm is based on a recently developed EA for many-objective optimization that relies on a set of adaptive reference vectors for selection. The proposed surrogate-assisted EA (SAEA) uses Kriging to approximate each objective […]