skip to main content
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Monitoring deterioration of vegetation cover in the vicinity of smelting industry, using statistical methods and TM and ETM⁺ imageries, Sarcheshmeh copper complex, Central Iran
Material Type:
Artigo
Adicionar ao Meu Espaço

Monitoring deterioration of vegetation cover in the vicinity of smelting industry, using statistical methods and TM and ETM⁺ imageries, Sarcheshmeh copper complex, Central Iran

Rastmanesh, F ; Moore, F ; Kharrati-Kopaei, M ; Behrouz, M

Environmental monitoring and assessment, 2010-04, Vol.163 (1-4), p.397-410 [Periódico revisado por pares]

Dordrecht: Dordrecht : Springer Netherlands

Texto completo disponível

2
Metal accumulation in the tissues of grass carps (Ctenopharyngodon idellus) from fresh water around a copper mine in Southeast China
Material Type:
Artigo
Adicionar ao Meu Espaço

Metal accumulation in the tissues of grass carps (Ctenopharyngodon idellus) from fresh water around a copper mine in Southeast China

Liu, Feng ; Ni, Hong-Gang ; Chen, Feng ; Luo, Zhuan-Xi ; Shen, Heqing ; Liu, Liangpo ; Wu, Peng

Environmental monitoring and assessment, 2012-07, Vol.184 (7), p.4289-4299 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

Texto completo disponível

3
Statistical source identification of major and trace elements in groundwater downward the tailings dam of Miduk Copper Complex, Kerman, Iran
Material Type:
Artigo
Adicionar ao Meu Espaço

Statistical source identification of major and trace elements in groundwater downward the tailings dam of Miduk Copper Complex, Kerman, Iran

Kargar, Maryam ; Khorasani, Neamatolah ; Karami, Mahmoud ; Rafiee, Gholamreza ; Naseh, Reza

Environmental monitoring and assessment, 2012-10, Vol.184 (10), p.6173-6185 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

Texto completo disponível

4
Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques
Material Type:
Artigo
Adicionar ao Meu Espaço

Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques

Betrie, Getnet D. ; Tesfamariam, Solomon ; Morin, Kevin A. ; Sadiq, Rehan

Environmental monitoring and assessment, 2013-05, Vol.185 (5), p.4171-4182 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

Texto completo disponível

5
Dye removal using modified copper ferrite nanoparticle and RSM analysis
Material Type:
Artigo
Adicionar ao Meu Espaço

Dye removal using modified copper ferrite nanoparticle and RSM analysis

Mahmoodi, Niyaz Mohammad ; Soltani-Gordefaramarzi, Sajjad ; Sadeghi-Kiakhani, Moosa

Environmental monitoring and assessment, 2013-12, Vol.185 (12), p.10235-10248 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

Texto completo disponível

6
Methane oxidation and abundance of methane oxidizers in tropical agricultural soil (vertisol) in response to CuO and ZnO nanoparticles contamination
Material Type:
Artigo
Adicionar ao Meu Espaço

Methane oxidation and abundance of methane oxidizers in tropical agricultural soil (vertisol) in response to CuO and ZnO nanoparticles contamination

Mohanty, Santosh Ranjan ; Rajput, Parul ; Kollah, Bharati ; Chourasiya, Dipanti ; Tiwari, Archana ; Singh, Muneshwar ; Rao, A Subba

Environmental monitoring and assessment, 2014-06, Vol.186 (6), p.3743-3753 [Periódico revisado por pares]

Cham: Springer International Publishing

Texto completo disponível

7
Natural attenuation of coal combustion waste in river sediments
Material Type:
Artigo
Adicionar ao Meu Espaço

Natural attenuation of coal combustion waste in river sediments

Markwiese, James T. ; Rogers, William J. ; Carriker, Neil E. ; Thal, David I. ; Vitale, Rock J. ; Gruzalski, Jacob G. ; Rodgers, Erin E. ; Babyak, Carol M. ; Ryti, Randall T.

Environmental monitoring and assessment, 2014-08, Vol.186 (8), p.5235-5246 [Periódico revisado por pares]

Cham: Springer International Publishing

Texto completo disponível

Buscando em bases de dados remotas. Favor aguardar.