All Outputs (4)

Impacts of anthropogenic sounds on bird call activities: A case study in Aachen, Germany (2023)
Journal Article
Engel, M., Leedale, A., Young, R., Davies, W., & Wood, M. (2023). Impacts of anthropogenic sounds on bird call activities: A case study in Aachen, Germany. https://doi.org/10.61782/fa.2023.0912

Since the definition of the Environmental Noise Directive 2002/49/EC, various tools, reports, and action plans have been developed to assess and improve the sonic environment according to human perception and well-being. Few methodologies and report... Read More about Impacts of anthropogenic sounds on bird call activities: A case study in Aachen, Germany.

Chornobyl radiation spikes are not due to military vehicles disturbing soil (2023)
Journal Article
Wood, M., Beresford, N., Barnett, C., Burgess, P., & Mobbs, S. (in press). Chornobyl radiation spikes are not due to military vehicles disturbing soil. Journal of Environmental Radioactivity, 265, 107220. https://doi.org/10.1016/j.jenvrad.2023.107220

On 25th February 2022, increased gamma radiation dose rates were reported within the Chornobyl Exclusion Zone (CEZ). This coincided with Russian military vehicles entering the Ukrainian part of the CEZ from neighbouring Belarus. It... Read More about Chornobyl radiation spikes are not due to military vehicles disturbing soil.

Mammals in the Chornobyl Exclusion Zone's Red Forest: a motion-activated camera trap study (2023)
Journal Article
Beresford, N., Gashchak, S., Wood, M., & Barnett, C. (2023). Mammals in the Chornobyl Exclusion Zone's Red Forest: a motion-activated camera trap study. Earth System Science Data, 15, 911-920

Since the accident at the Chornobyl Nuclear Power Plant in 1986, there have been few studies published on medium and large mammals inhabiting the area from which the human population was removed (now referred to as the Chornobyl Exclusion Zone, CEZ).... Read More about Mammals in the Chornobyl Exclusion Zone's Red Forest: a motion-activated camera trap study.

Determination of bioavailable arsenic threshold and validation of modelled permissible total arsenic in paddy soil using machine learning (2023)
Journal Article
Mandal, J., Jain, V., Sengupta, S., Rahman, M. A., Bhattacharyya, K., Rahman, M., …Mondal, D. (in press). Determination of bioavailable arsenic threshold and validation of modelled permissible total arsenic in paddy soil using machine learning. Journal of Environmental Quality, https://doi.org/10.1002/jeq2.20452

Minimizing arsenic intake from food consumption is a key aspect of the public health response in As-contaminated regions. In many of these regions, rice is the predominant staple food. Here we present a validated maximum allowable concentration of to... Read More about Determination of bioavailable arsenic threshold and validation of modelled permissible total arsenic in paddy soil using machine learning.