Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: Joel Podgorski Clear advanced filters
  • Most studies on the potential of meat alternatives to mitigate environmental pollution look at greenhouse gas emissions, but groundwater quality remains understudied. Using a groundwater nitrate pollution risk assessment model, this study estimates the benefits of a shift away from beef, poultry and pork in the USA over 1985–2020.

    • Yang Zhan
    • Zhilin Guo
    • Chunmiao Zheng
    Research
    Nature Food
    Volume: 6, P: 703-714
  • Assessing the resilience of groundwater resources can be challenging in data-sparse regions. Tritium observations and machine learning can be employed to fill gaps where traditional monitoring is insufficient and provide insight into aquifer vulnerability to pollution.

    • Joel Podgorski
    • Oliver Kracht
    • Michael Berg
    ResearchOpen Access
    Nature Sustainability
    Volume: 7, P: 558-567
  • A global fluoride hazard prediction map was created using machine learning and over 400,000 fluoride measurements, this shows ~180 million people are potentially affected by chronic fluoride exposure worldwide, mostly in Asia and Africa.

    • Joel Podgorski
    • Michael Berg
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9
  • This Review highlights the strengths and limitations of deep learning approaches relative to traditional approaches, emphasizing their potential as a currently underutilized yet promising avenue for advancing our understanding of water-quality sciences.

    • Wei Zhi
    • Alison P. Appling
    • Li Li
    Reviews
    Nature Water
    Volume: 2, P: 228-241
  • The use of groundwater with high levels of geogenic contaminants, such as arsenic, has caused severe health impacts and mortality in communities globally. This Review examines the drivers and occurrence of groundwater contamination by naturally occurring arsenic, fluoride, selenium and uranium.

    • Abhijit Mukherjee
    • Poulomee Coomar
    • Avner Vengosh
    Reviews
    Nature Reviews Earth & Environment
    Volume: 5, P: 312-328