air pollution 1autocorrelation 1environmental monitoring 1probability distributions 1superstatistics 1
From the 1 of 2 linked papers with an AI index.
2 papers
physics.ao-ph2026
Superstatistical Analysis of PDFs and autocorrelation functions for air pollution concentrations in the UK
Nisal Amarakoon, Hankun He, Christian Beck
The paper applies superstatistical methods from non‑equilibrium physics to model the probability distributions and autocorrelation of hourly air‑pollution measurements across the U…
cs.LG2025
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning
Hankun He, Takuya Boehringer, Benjamin Schäfer +2
By employing superstatistical methods and machine learning, we analyze time series data of water quality indicators for the River Thames, with a specific focus on the dynamics of d…