activity
20202026
most citedAnalyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning

19 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2026

Superstatistical Analysis of PDFs and autocorrelation functions for air pollution concentrations in the UK

Nisal Amarakoon, Hankun He, Christian Beck

Conventional statistical models often struggle to fully capture the complex spatio-temporal dynamics, intermittent fluctuations, and heavy-tailed distributions characteristic of re…

cs.LG2025★ 19 cited

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…

physics.ao-ph2024★ 2 cited

Spatial analysis of tails of air pollution PDFs in Europe

Hankun He, Benjamin Schäfer, Christian Beck

Outdoor air pollution is estimated to cause a huge number of premature deaths worldwide, it catalyses many diseases on a variety of time scales, and it has a detrimental effect on…

physics.ao-ph2022

Spatial heterogeneity of air pollution statistics

Hankun He, Benjamin Schäfer, Christian Beck

Air pollution is one of the leading causes of death globally, and continues to have a detrimental effect on our health. In light of these impacts, an extensive range of statistical…

physics.soc-ph2020★ 3 cited

Lockdown effects on air quality in megacities during the first and second waves of COVID-19 pandemic

Aswin Giri, Benjamin Schäfer, Rulan Verma +4

Air pollution is among the highest contributors to mortality worldwide, especially in urban areas. During spring 2020, many countries enacted social distancing measures in order to…