Arctic Resilience: Adaptive Networks of Self-Sufficiency

As the impacts of climate change reverberate across the globe, there is an increasing focus on communities already grappling with high environmental stress, limited resources, isolation, and economic challenges. Among these communities, the Arctic region stands out not for its population size, but for the threat posed to their traditional ways of life by the melting polar icecap, rising seas, changing ecology, and shifting migration patterns of vital wildlife. Many communities are living on shorelines being lost to the sea, having been moved there decades earlier by government and oil corporation dictates. Now facing impending relocation again, these communities have a unique opportunity to reimagine settlement patterns, community design, and regain autonomy from government dependence. At present, many of these communities are experiencing a significant amount of resource wastage. Factors such as inefficient use of energy, water, and materials, combined with inadequate waste management systems, contribute to unsustainable living practices. This not only puts a strain on the already limited resources available in these Arctic coastal communities but also exacerbates their vulnerability to climate change impacts. The existing strategies are quite basic and meet the fundamental requirements, but they lack resilience in the face of drastic environmental changes and do not maximize resource utilization. In this context, this thesis focuses on rearranging resources to design a closed-loop system for living in extreme cold environments and marginalized populations and how those living in a landscape of scarcity can make better use of the resources around them to achieve greater self-sufficiency through adopting a circular economy model that integrates shelter and land with food production, energy, water, and waste

A novel power allocation scheme under outage constraints in NOMA systems

In this letter, we study a downlink non-orthogonal multiple access (NOMA) transmission system, where only the average channel state information (CSI) is available at the transmitter. Two criteria in terms of transmit power and user fairness for NOMA systems are used to formulate two optimization problems, subjected to outage probabilistic constraints and the optimal decoding order. We first investigate the optimal decoding order when the transmitter knows only the average CSI, and then, we develop the optimal power allocation schemes in closed form by employing the feature of the NOMA principle for the two problems. Furthermore, the power difference between NOMA systems and OMA systems under outage constraints is obtained

An Empirical Study on the Evolution of Employment Structure of Transport, Storage and Post Industry of Beijing During Economic Transition in China

Employment structure of transport, storage and post industry is in continuous evolution along with the economic transition, and this paper makes an empirical study on it. This paper analyzes the change in employed laborers, employment structure and industry structure in transport, storage and post industry in Beijing, and makes a comparison with the employment proportion in third industry. Based on the above analysis, this paper gives some policy suggestions to both promote the healthy development of transport, storage and post industry in Beijing and further enhance the industry to absorb laborers

Influence of green technology, tourism, and inclusive financial development on ecological sustainability: exploring the path toward green revolution

This study demonstrates the linkages between green technological innovations, sustainable tourism, financial development, economic growth, and ecological sustainability using China’s regional data from 2000 to 2019. The study applies the novel estimation technique, Quantile Autoregressive Distributive Lag (QARDL) approach to examine long-run and short-run relationships between the stated variables. The initial findings confirm non-linearity in the data verified through J-B test statistics. It approves the implication of QARDL estimation for exploring ecological sustainability trends over the study period. The study outcomes confirm that tourism and green technology innovation assists in reducing ecological footprints in China in the long run. Moreover, financial development and economic growth reflect a direct role towards more ecological footprints; therefore, the sustainability dimension has been missing both in financial development and growth. Furthermore, the results in the short run cover the same phenomenon and confirm that ecological innovations and tourism would help in sustaining the natural environment. The study outcomes demonstrate that government officials in China should specifically implement long-term policies to support the natural environment from adverse shocks of more financial development and economic growth