Understanding Environmental Changes Using Statistical Mechanics

M. Selim Mahbub, Paulo Souza () and Ray Williams
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M. Selim Mahbub: CSIRO, Data61
Paulo Souza: CSIRO, Data61
Ray Williams: CSIRO, Data61

Annals of Data Science, 2020, vol. 7, issue 4, No 3, 599-611

Abstract: Abstract We present results for Shannon entropy from environmental data, such as air temperature, relative humidity, rainfall and wind speed. We use hourly generated time-series hydrological model data covering the whole of Tasmania, a state of Australia, and employ concepts from statistical mechanics in our calculations. We also present enthalpy and heat capacitance equivalent quantities for the environment. The results capture interesting seasonal fluctuations in environmental parameters over time. Our results also present an indication that corresponds to a slight increase in the number of microstates due to air temperature over the duration of data considered in this work.

Keywords: Environmental analytics; Shannon entropy; Statistical mechanics (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s40745-019-00220-9

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