scholarly journals Correlation: Registers of Change

2021 ◽  
pp. 109-140
Author(s):  
Jonathan Pugh ◽  
David Chandler

Chapter 4 analyses how Correlation approaches maintain a knowing human subject and a world of patterned regularity amenable to policy intervention. Here, the island emerges as a ‘correlational technology’ where changes are seen as early indicators of climate change. Central however, is an (onto)epistemology of inter-relation and correlation rather than one of linear cause-and-effect: we move from a temporal and spatial line of movement to one of synchronicity. Correlational modes are deployed for sensing global warming, rising sea levels and other shifting planetary conditions. As islands are reinterpellated as ‘living laboratories’, the authors argue that the island is seen as enabling the generation of onto-epistemologies operating on correlative not causal principles. In addition to such correlational practices as the evolutionary patterns of island life, there is the widespread celebration of Indigenous islanders’ correlational abilities, useful in the ‘forecasting of extreme weather conditions’. Such approaches have received a high-tech boost in the Anthropocene, taking the algorithmic form of the, ‘if this … then that’ logic associated with Big Data, the Internet of Things and the trope of the ‘smart island’. Here, prolific use of Big Data combined with extensive networks of sensors or tracking social media on islands enables rapid policy responsiveness. The authors demonstrate how working with islands as sites for understanding relational entanglements and feedbacks plays an important role in the generation and exponential development of Correlational onto-epistemologies in broader Anthropocene thinking.

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
K. ElDahshan ◽  
E. K. Elsayed ◽  
H. Mancy

This paper presents a general Semantic Smart World framework (SSWF), to cover the Migratory birds’ paths. This framework combines semantic and big data technologies to support meaning for big data. In order to build the proposed smart world framework, technologies such as cloud computing, semantic technology, big data, data visualization, and the Internet of Things are hybrid. We demonstrate the proposed framework through a case study of automatic prediction of air quality index and different weather phenomena in the different locations in the world. We discover the association between air pollution and increasing weather conditions. The experimental results indicate that the framework performance is suitable for heterogeneous big data.


Author(s):  
Benjamin Kingsbury

The storm came on the night of 31 October. It was a full moon, and the tides were at their peak; the great rivers of eastern Bengal were flowing high and fast to the sea. In the early hours the inhabitants of the coast and islands were overtaken by an immense wave from the Bay of Bengal — a wall of water that reached a height of 40 feet in some places. The wave swept away everything in its path, drowning around 215,000 people. At least another 100,000 died in the cholera epidemic and famine that followed. It was the worst calamity of its kind in recorded history. Such events are often described as "natural disasters." This book turns that interpretation on its head, showing that the cyclone of 1876 was not simply a "natural" event, but one shaped by all-too-human patterns of exploitation and inequality — by divisions within Bengali society, and the enormous disparities of political and economic power that characterized British rule on the subcontinent. With Bangladesh facing rising sea levels and stronger, more frequent storms, there is every reason now to revisit this terrible calamity.


2003 ◽  
Vol 47 (7-8) ◽  
pp. 165-168 ◽  
Author(s):  
M. Beuhler

Global warming will have a significant impact on water resources within the 20 to 30-year planning period of many water projects. Arid and semi-arid regions such as Southern California are especially vulnerable to anticipated negative impacts of global warming on water resources. Long-range water facility planning must consider global climate change in the recommended mix of new facilities needed to meet future water requirements. The generally accepted impacts of global warming include increased temperature, rising sea levels, more frequent and severe floods and droughts, and a shift from snowfall to rain. Precipitation changes are more difficult to predict. For Southern California, these impacts will be especially severe on surface water supplies. Additionally, rising sea levels will exacerbate salt-water intrusion into freshwater and impact the quality of surface water supplies. Integrated water resources planning is emerging as a tool to develop water supplies and demand management strategies that are less vulnerable to the impacts of global warming. These tools include water conservation, reclamation, conjunctive use of surface and groundwater and desalination of brackish water and possibly seawater. Additionally, planning for future water needs should include explicit consideration of the potential range of global warming impacts through techniques such as scenario planning.


Author(s):  
Akira Hirano

AbstractImportant aspects for understanding the effects of climate change on tropical cyclones (TCs) are the frequency of TCs and their tracking patterns. Coastal areas are increasingly threatened by rising sea levels and associated storm surges brought on by TCs. Rice production in Myanmar relies strongly on low-lying coastal areas. This study aims to provide insights into the effects of global warming on TCs and the implications for sustainable development in vulnerable coastal areas in Myanmar. Using TC records from the International Best Track Archive for Climate Stewardship dataset during the 30-year period from 1983 to 2012, a hot spot analysis based on Getis-Ord (Gi*) statistics was conducted to identify the spatiotemporal patterns of TC tracks along the coast of Myanmar. The results revealed notable changes in some areas along the central to southern coasts during the study period. These included a considerable increase in TC tracks (p value < 0.01) near the Ayeyarwady Delta coast, otherwise known as “the rice bowl” of the nation. This finding aligns with trends in published studies and reinforced the observed trends with spatial statistics. With the intensification of TCs due to global warming, such a significant increase in TC experiences near the major rice-producing coastal region raises concerns about future agricultural sustainability.


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