scholarly journals Empirical characterization factors to be used in LCA and assessing the effects of hydropower on fish richness

2021 ◽  
Vol 121 ◽  
pp. 107047
Author(s):  
Katrine Turgeon ◽  
Gabrielle Trottier ◽  
Christian Turpin ◽  
Cécile Bulle ◽  
Manuele Margni
Author(s):  
Sila Temizel-Sekeryan ◽  
Andrea L. Hicks

Global production and consumption of silver nanoparticles (nAg) are forecasted to increase due to their applications in modern technologies. This situation raises concerns related to their environmental and human health...


Resources ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 83 ◽  
Author(s):  
Vanessa Bach ◽  
Markus Berger ◽  
Natalia Finogenova ◽  
Matthias Finkbeiner

In the last decade, several methods were developed to determine potential supply risks due to short term socio-economic aspects. One of them is the ESSENZ method (comprehensive method to measure and assess resource efficiency of products in the context of sustainable development) developed by the authors. Due to newly available data (e.g., production statistics) the characterization factors (CFs) of the ESSENZ method were updated (based on data from the years 2011 to 2015, with focus on 2014 and 2015) and compared with the original CFs (based on data from the years 2009 to 2013, with focus on 2012 and 2013) for six of the overall eleven categories. The goal of the paper is to analyze if changes in the underlying data are adequately reflected in the CFs of ESSENZ for the considered categories. Further, the updated CFs are provided. The six categories are analyzed by comparing original and updated CFs and clustering them into four groups: declining, emerging, persistent, and non-occurring potential supply risks. Significant differences in the CFs are evaluated by analyzing changes in the underlying data as well as the steps to determine the CFs. It could be shown, that for most of the considered categories and resources changes in the underlying data are reflected adequately in the CFs. However, some methodological challenges of ESSENZ, which limit the reflection of potential supply risks changes, could also be identified.


2020 ◽  
Vol 25 (12) ◽  
pp. 2359-2379 ◽  
Author(s):  
Kilvia de Freitas Alves ◽  
Edilene Pereira Andrade ◽  
José Paulo Savioli ◽  
Amandine Valerie Pastor ◽  
Maria Cléa Brito de Figueirêdo ◽  
...  

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