scholarly journals Biodegradation and Ecotoxicity of Branched Alcohol Ethoxylates: Application of the Target Lipid Model and Implications for Environmental Classification

2019 ◽  
Vol 23 (2) ◽  
pp. 383-403
Author(s):  
Gail E. Bragin ◽  
Craig Warren Davis ◽  
Ming H. Kung ◽  
Barbara A. Kelley ◽  
Cary A. Sutherland ◽  
...  
2013 ◽  
Vol 50 (1) ◽  
pp. 31-35 ◽  
Author(s):  
Dorota Nowicka ◽  
Irena Budnik ◽  
Joanna Zembrzuska

2002 ◽  
Vol 82 (2) ◽  
pp. 151-156 ◽  
Author(s):  
V Mezzanotte ◽  
E Bolzacchini ◽  
M Orlandi ◽  
A Rozzi ◽  
S Rullo
Keyword(s):  

2006 ◽  
Vol 64 (1) ◽  
pp. 14-29 ◽  
Author(s):  
C.V. Eadsforth ◽  
A.J. Sherren ◽  
M.A. Selby ◽  
R. Toy ◽  
W.S. Eckhoff ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Rodrigo Pizarro ◽  
Raúl Delgado ◽  
Huáscar Eguino ◽  
Aloisio Lopes Pereira

Identifying and evaluating climate expenditures in the public sector, known as budget tagging, has generated increasing attention from multiple stakeholders, not only to assess the governments climate change policy, but also to monitor fiscal risks associated with increasing and unpredictable climate change impacts. This paper explores the issues raised by climate change budget tagging in the context of a broader discussion on the connections with fiscal and environmental statistical classification systems. It argues that, for climate change budget tagging efforts to be successful, the definitions and classifications of climate change expenditures must be consistent with statistical standards currently in use, such as the Government Finance Statistics Framework and the System of National Accounts.


Author(s):  
Ivan Kruhlov

Boundaries of 43 administrative units (raions and oblast towns) were digitized and manually rectified using official schemes and satellite images. SRTM digital elevation data were used to calculate mean relative elevation and its standard deviation for each unit, as well as to delineate altitudinal bioclimatic belts and their portions within the units. These parameters were used to classify the units via agglomerative cluster analysis into nine environmental classes. Key words: cluster analysis, digital elevation model, geoecosystem, geo-spatial analysis.


2011 ◽  
Vol 1218 (47) ◽  
pp. 8511-8518 ◽  
Author(s):  
M. Beneito-Cambra ◽  
L. Ripoll-Seguer ◽  
J.M. Herrero-Martínez ◽  
E.F. Simó-Alfonso ◽  
G. Ramis-Ramos

Sign in / Sign up

Export Citation Format

Share Document