A high order Godunov scheme with constrained transport and adaptive mesh refinement for astrophysical and geophysical MHD

We propose to extend the well-known MUSCL-Hancock scheme for Euler equations to the induction equation modeling the magnetic field evolution in kinematic dynamo problems. The scheme is based on an integral form of the underlying conservation law which, in our formulation, results in a “finite-surface” scheme for the induction equation. This naturally leads to the well-known “constrained transport” method, with additional continuity requirement on the magnetic field representation. The second ingredient in the MUSCL scheme is the predictor step that ensures second order accuracy both in space and time. We explore specific constraints that the mathematical properties of the induction equations place on this predictor step, showing that three possible variants can be considered. We show that the most aggressive formulations reach the same level of accuracy than the other ones, at a lower computational cost. More interestingly, these schemes are compatible with the Adaptive Mesh Refinement (AMR) framework. It has been implemented in the AMR code RAMSES. It offers a novel and efficient implementation of a second order scheme for the induction equation. The scheme is then adaptated to solve for the full MHD equations using the same methodology. Through a series of test problems, we illustrate the performances of this new code using two different MHD Riemann solvers (Lax–Friedrich and Roe) and the need of the Adaptive Mesh Refinement capabilities in some cases. Finally, we show its versatility by applying it to the ABC dynamo problem and to the collapse of a magnetized cloud core.     

On the Use of Crushed Recycled Glass Instead of Silica Sand in Dual‐Media Filters

Crushed recycled glass was evaluated as an alternative to silica sand in dual‐media filters. Pilot scale inline filtration experiments were carried out using raw waters from three different water sources with turbidities between 6.0 and 14.0 NTU. Two physically identical filter columns were operated in parallel in the experiments. One filter consisted of 62.5 cm silica sand and 41.5 cm anthracite coal, whereas the other filter contained 62.5 cm crushed recycled glass plus 41.5 cm anthracite coal. The total bed depth was 104 cm for both filters. The properties of the media were as follows: Glass effective size = 0.77 mm, uniformity coefficient = 1.41. Sand effective size = 0.79 mm, uniformity coefficient = 1.33. Coal effective size = 1.45 mm, uniformity coefficient = 1.39. Experiments were repeated five times as follows: (i) Without the use of a coagulant, (ii–iii) with 5 and 10 mg/L of alum, and (iv–v) with 5 and 10 mg/L of ferric chloride. The filtration rate used was 11.5 m/h. Turbidity, particle counts, and head losses were measured and compared as functions of time. The following were observed: (i) Effluent turbidities and particle counts of the two filters were very close, i.e., essentially the same effluent quality was obtained when crushed glass was used instead of silica sand. (ii) In the majority of the tests, the filter with crushed glass generated both a smaller clean‐bed head loss and smaller clogging head losses than those of the filter containing sand. It is concluded that crushed glass may be a good alternative to silica sand in dual‐media filtration.     

Everyday Adaptation: Theorizing climate change adaptation in daily life

Climate science to date demonstrates that natural and human systems must urgently adapt. Adaptation refers to changes in societies and ecological systems as they respond to both actual and anticipated impacts of the changing climate. While adaptation is not limited to the level of planning and policy, existing adaptation practice privileges institutional action. We argue that the definition of adaptation should be broadened to include the small, incremental changes made in our daily lives to accommodate the shifting ecologies in which we live. Drawing on critical adaptation research and our own ethnographic fieldwork in the Global South, we define everyday adaptation as the shifted ways a person works, eats, lives and thinks in response to climate realities, rather than the hardening of coastlines or the relocation of vulnerable structures. We integrate and build on existing scholarship on adaptation and the everyday to theorize the logics of everyday, hyperlocal adaptation. This hyperlocal scale is a critical component of any definition of adaptation and a useful lens for studying the way much of the global population adapts and will continue to adapt their lives to climate change. We offer two theoretical components of adaptation revealed by the everyday - adaptation labor and value adaptation – as lenses to see changes in everyday action. Through considering hyperlocal action, we then identify and explore four logics of everyday adaptation actions: lifestyle stability, socio-ecological reactivity, livelihood flexibility, and community capacity. Everyday adaptations are limited by individuals’ capacity to adapt and thereby determine the longevity, livability, and quality of life of places on the frontlines of climate change. We argue for understanding the aggregate effects of everyday adaptation in order to better align the actions of those living with climate change in their everyday lives and the large-scale adaptation projects aiming to protect them.     

Upscaling the resilience assessment through comparative analysis

Resilience is the capacity of any system to maintain its function, structure and identity despite disturbances. Assessing resilience has been elusive due to high levels of abstraction that are difficult to empirically test, or the lack of high quality data required once appropriate proxies are identified. Most resilience assessments are limited to specific situation arenas, making comparision one of the unresolved challenges. Here we show how leveraging comparative analysis can provide insights on how Arctic communities (N = 40) can best deal with social and environmental change. We found that the capacity to self-organize, and nurturing diversity are sufficient conditions for Arctic communities whose livelihoods have been resilient, or for communities whose livelihoods have been transformed. Our study provides an alternative perspective on how to assess resilience by leveraging comparsion across cases. It also identify governance patways to support adaptations and transformations in the Arctic, a geography with some of the most dramatic social and natural challenges to come.     

Navigating climate crises in the Great Barrier Reef

A dramatic escalation of extreme climate events is challenging the capacity of environmental governance regimes to sustain and improve ecosystem outcomes. It has been argued that actors within adaptive governance regimes can help to steer environmental systems toward sustainability in times of crisis. Yet there is little empirical evidence of how acute climate crises are navigated by actors operating within adaptive governance regimes, and the factors that influence their responses. Here, we qualitatively assessed the actions key governance actors took in response to back-to-back mass coral bleaching – an extreme climate event – of the Great Barrier Reef in 2016 and 2017, and explored their perceptions of barriers and catalysts to these responses. This research was, in part, a product of collaboration and knowledge co-production with Great Barrier Reef governance actors aimed at improving responses to climate crises in the region. We found five major categories of activity that actors engaged with in the wake of recurrent mass coral bleaching: assessing the scale and extent of bleaching, sharing information, communicating bleaching to the public, building local resilience, and addressing global threats. These actions were both catalyzed and hindered by a range of factors that fall within different domains of adaptive capacity; such as assets, social organization, and agency. We discuss the implications of our findings as they relate to existing research on adaptive capacity and adaptive governance. We conclude by coalescing insights from our interviews and a participant engagement process to highlight four key ways in which the ability of governance actors, and the Great Barrier Reef governance regime more broadly, can be better prepared for, and more effectively respond to extreme climate events. Our research provides empirical insight into how crises are experienced by governance actors in a large-scale environmental system, potentially providing lessons for similar systems across the globe.     

GPS非差相位动态定位中Sage自适应滤波算法的研究及软件实现

介绍了GPS非差定位中的卡尔曼滤波模型,详细分析了滤波发散的原因.研究并给出了一种改进的自适应滤波,在此基础上编制了相应的软件,结合实例分析了该方法的有效性.     

Responding to change: Using scenarios to understand how socioeconomic factors may influence amplifying or dampening exploitation feedbacks among Tanzanian fishers

Environmental change often requires societies to adapt. In some instances, these adaptations can create feedbacks that amplify the change. Alternatively, other adaptations may dampen the change. We used semi-structured interviews with 240 fishers from nine Tanzanian coastal communities to explore responses to four hypothetical scenarios of increasingly severe declines in their average catch (10%, 20%, 30% and 50%). Overall, a higher proportion of fishers said they would respond to decline using amplifying adaptations (such as fishing harder) than dampening adaptations (such as reducing effort), particularly in the scenarios with lower levels of decline. We used a redundancy analysis to explore whether certain types of responses were related to the fishers’ socioeconomic characteristics. Fishers that would employ amplifying responses had greater economic wealth but lacked options. Fishers who would adopt dampening responses possessed characteristics associated with having livelihood options. Fishers who would adopt neither amplifying nor dampening responses were less likely to belong to community groups and sold the largest proportion of their catch. This study provides novel contributions by differentiating aspects of adaptive capacity that will amplify versus dampen environmental change and by highlighting what the resource users’ themselves say regarding responding to environmental change. Although direct policy application is limited by the study's hypothetical scenario nature, it provides a good beginning to incorporating resource users’ voices into such policy discussions.     

Common property rights, adaptive capacity, and response to forest disturbance

This paper reports the results of a statistical analysis which measures the effects of adaptive capacity on forest conditions in response to a prior disturbance. Particular emphasis is placed on common property rights as a form of institutional adaptive capacity. Common property rights are delineated in terms of rights of access, withdrawal, management, exclusion, and alienation. Using statistical analysis of 326 forest user groups from 13 countries in the database of the International Forestry Resources and Institutions (IFRI) program, the effects on user group rankings of forest conditions are estimated with a probability model. Overall, the results indicate that user groups with more complete property rights are more likely to rank forest conditions favorably. However, the effects of property rights also depend on the level of other forms of adaptive capacity such as the organizational capacity of the group and the number of rival user groups.     

Co-management and the co-production of knowledge: Learning to adapt in Canada's Arctic

Co-management institutional arrangements have an important role in creating conditions for social learning and adaptation in a rapidly changing Arctic environment, although how that works in practice has not been clearly articulated. This paper draws on three co-management cases from the Canadian Arctic to examine the role of knowledge co-production as an institutional trigger or mechanism to enable learning and adapting. Experience with knowledge co-production across the three cases is variable but outcomes illustrate how co-management actors are learning to learn through uncertainty and environmental change, or learning to be adaptive. Policy implications of this analysis are highlighted and include the importance of a long-term commitment to institution building, an enabling policy environment to sustain difficult social processes associated with knowledge co-production, and the value of diverse modes of communication, deliberation and social interaction.