Heavy weather: climate and the Australian Defence Force

This report argues that the downstream implications of climate change are forcing Defence to become involved in mitigation and response tasks. Defence’s workload here will increase, so we need a new approach. Heavy Weather makes a number of recommendations including: Defence should work with the Department of the Prime Minister and Cabinet and the Department of Climate Change and Energy Efficiency to establish an interagency working group on climate change and security. It would focus on addressing climate event scenarios for Australia and the Asia–Pacific  to manage the risks those scenarios pose to national resilience and regional stability.  Defence should appoint an adviser to the Chief of the Defence Force on climate issues to develop a Responding to Climate Change Plan that details how Defence will manage the effects of climate change on its operations and infrastructure. Defence should audit its environmental data to determine its relevance for climate scientists and systematically make that data publicly available. It should set up an energy audit team to see where energy efficiencies can be achieved in Defence. Australia should work with like-minded countries in the ‘Five Eyes’ community to share best practice and thinking on how military organisations should best respond to extreme weather events.   The recommendations aren’t about Defence having a ‘green’ view of the world: they’re about the ADF being well placed to deal with the potential disruptive forces of climate change

Notes on Applying Real Options to Climate Change Adaptation Measures, with examples from Vietnam

A factor common to all adaptation measures is the uncertainty that is the hallmark of climate change. The timing, intensity and location of climate change impacts is not known to any degree of precision. Because most deterministic analyses and policy prescriptions ignore this uncertainty, their recommendations are likely to waste community resources. Except by chance, adaptation measures will either be over-engineered, or they will be inadequate and result in harm. Applying real options thinking allows an incremental and flexible approach. Adaptation measures are implemented only as better knowledge becomes available over time. Several examples are given of real options in the Mekong Delta, with a comparison of net present values of two housing alternatives. It is essential to undertake net present value calculations when comparing different projects to ensure that the value of any options is weighed against other costs and benefits.Environmental Economics and Policy,

5th Annual Progress Reporting and Coordination Meeting on CCAFS Projects and Regional Activities in Southeast Asia

The proceedings document the results of the 5th Annual Progress Reporting and Coordination Meeting on CCAFS Projects and Regional Activities in Southeast Asia. The report tackles the progress of activities in the CSV sites and on CCAFS project implementation in 2019; the significant outputs and outcomes of FP/CSV implementation; and the knowledge, learning, and experiences across projects

An investigation into the role of crowdsourcing in generating information for flood risk management

Flooding is a major global hazard whose management relies on an accurate understanding of its risks. Crowdsourcing represents a major opportunity for supporting flood risk management as members of the public are highly capable of producing useful flood information. This thesis explores a wide range of issues related to flood crowdsourcing using an interdisciplinary approach. Through an examination of 31 different projects a flood crowdsourcing typology was developed. This identified five key types of flood crowdsourcing: i) Incident Reporting, ii) Media Engagement, iii) Collaborative Mapping, iv) Online Volunteering and v) Passive VGI. These represent a wide range of initiatives with radically different aims, objectives, datasets and relationships with volunteers. Online Volunteering was explored in greater detail using Tomnod as a case study. This is a micro-tasking platform in which volunteers analyse satellite imagery to support disaster response. Volunteer motivations for participating on Tomnod were found to be largely altruistic. Demographics of participants were significant, with retirement, disability or long-term health problems identified as major drivers for participation. Many participants emphasised that effective communication between volunteers and the site owner is strongly linked to their appreciation of the platform. In addition, the feedback on the quality and impact of their contributions was found to be crucial in maintaining interest. Through an examination of their contributions, volunteers were found to be able to ascertain with a higher degree of accuracy, many features in satellite imagery which supervised image classification struggled to identify. This was more pronounced in poorer quality imagery where image classification had a very low accuracy. However, supervised classification was found to be far more systematic and succeeded in identifying impacts in many regions which were missed by volunteers. The efficacy of using crowdsourcing for flood risk management was explored further through the iterative development of a Collaborative Mapping web-platform called Floodcrowd. Through interviews and focus groups, stakeholders from the public and private sector expressed an interest in crowdsourcing as a tool for supporting flood risk management. Types of data which stakeholders are particularly interested in with regards to crowdsourcing differ between organisations. Yet, they typically include flood depths, photos, timeframes of events and historical background information. Through engagement activities, many citizens were found to be able and motivated to share such observations. Yet, motivations were strongly affected by the level of attention their contributions receive from authorities. This presents many opportunities as well as challenges for ensuring that the future of flood crowdsourcing improves flood risk management and does not damage stakeholder relationships with participants

Flood hazard hydrology: interdisciplinary geospatial preparedness and policy

Thesis (Ph.D.) University of Alaska Fairbanks, 2017Floods rank as the deadliest and most frequently occurring natural hazard worldwide, and in 2013 floods in the United States ranked second only to wind storms in accounting for loss of life and damage to property. While flood disasters remain difficult to accurately predict, more precise forecasts and better understanding of the frequency, magnitude and timing of floods can help reduce the loss of life and costs associated with the impact of flood events. There is a common perception that 1) local-to-national-level decision makers do not have accurate, reliable and actionable data and knowledge they need in order to make informed flood-related decisions, and 2) because of science--policy disconnects, critical flood and scientific analyses and insights are failing to influence policymakers in national water resource and flood-related decisions that have significant local impact. This dissertation explores these perceived information gaps and disconnects, and seeks to answer the question of whether flood data can be accurately generated, transformed into useful actionable knowledge for local flood event decision makers, and then effectively communicated to influence policy. Utilizing an interdisciplinary mixed-methods research design approach, this thesis develops a methodological framework and interpretative lens for each of three distinct stages of flood-related information interaction: 1) data generation—using machine learning to estimate streamflow flood data for forecasting and response; 2) knowledge development and sharing—creating a geoanalytic visualization decision support system for flood events; and 3) knowledge actualization—using heuristic toolsets for translating scientific knowledge into policy action. Each stage is elaborated on in three distinct research papers, incorporated as chapters in this dissertation, that focus on developing practical data and methodologies that are useful to scientists, local flood event decision makers, and policymakers. Data and analytical results of this research indicate that, if certain conditions are met, it is possible to provide local decision makers and policy makers with the useful actionable knowledge they need to make timely and informed decisions

The International Workshop on Wave Hindcasting and Forecasting and the Coastal Hazards Symposium

Following the 13th International Workshop on Wave Hindcasting and Forecasting and 4th Coastal Hazards Symposium in October 2013 in Banff, Canada, a topical collection has appeared in recent issues of Ocean Dynamics. Here we give a brief overview of the history of the conference since its inception in 1986 and of the progress made in the fields of wind-generated ocean waves and the modelling of coastal hazards before we summarize the main results of the papers that have appeared in the topical collection