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Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China
Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China
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Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China

Zhang, Bing ; Song, Xianfang ; Zhang, Yinghua ; Han, Dongmei ; Tang, Changyuan ; Yu, Yilei ; Ma, Ying

Water research (Oxford), 2012-05, Vol.46 (8), p.2737-2748 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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2
Geochemical speciation and risk assessment of heavy metals in the river estuarine sediments—A case study: Mahanadi basin, India
Geochemical speciation and risk assessment of heavy metals in the river estuarine sediments—A case study: Mahanadi basin, India
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Geochemical speciation and risk assessment of heavy metals in the river estuarine sediments—A case study: Mahanadi basin, India

Sundaray, Sanjay Kumar ; Nayak, Binod Bihari ; Lin, Saulwood ; Bhatta, Dinabandhu

Journal of hazardous materials, 2011-02, Vol.186 (2-3), p.1837-1846 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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3
Multivariate optimization for the simultaneous bioremoval of BTEX and chlorinated aliphatic hydrocarbons by Pseudomonas plecoglossicida
Multivariate optimization for the simultaneous bioremoval of BTEX and chlorinated aliphatic hydrocarbons by Pseudomonas plecoglossicida
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Multivariate optimization for the simultaneous bioremoval of BTEX and chlorinated aliphatic hydrocarbons by Pseudomonas plecoglossicida

Li, Junhui ; de Toledo, Renata Alves ; Shim, Hojae

Journal of hazardous materials, 2017-01, Vol.321, p.238-246 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models
Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models
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Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models

Li, Zhenning ; Chen, Cong ; Ci, Yusheng ; Zhang, Guohui ; Wu, Qiong ; Liu, Cathy ; Qian, Zhen (Sean)

Accident analysis and prevention, 2018-11, Vol.120, p.139-151 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches
Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches
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Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches

Ouarda, T.B.M.J. ; Charron, C. ; Hundecha, Y. ; St-Hilaire, A. ; Chebana, F.

Environmental modelling & software : with environment data news, 2018-11, Vol.109, p.256-271 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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6
Development of composites based on recycled polypropylene for injection moulding automobile parts using hierarchical clustering analysis and principal component estimate
Development of composites based on recycled polypropylene for injection moulding automobile parts using hierarchical clustering analysis and principal component estimate
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Development of composites based on recycled polypropylene for injection moulding automobile parts using hierarchical clustering analysis and principal component estimate

Gu, Fu ; Hall, Philip ; Miles, N.J.

Journal of cleaner production, 2016-11, Vol.137, p.632-643 [Periódico revisado por pares]

Elsevier Ltd

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7
Use of sequential leaching, mineralogy, morphology and multivariate statistical technique for quantifying metal pollution in highly polluted aquatic sediments—A case study: Brahmani and Nandira Rivers, India
Use of sequential leaching, mineralogy, morphology and multivariate statistical technique for quantifying metal pollution in highly polluted aquatic sediments—A case study: Brahmani and Nandira Rivers, India
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Use of sequential leaching, mineralogy, morphology and multivariate statistical technique for quantifying metal pollution in highly polluted aquatic sediments—A case study: Brahmani and Nandira Rivers, India

Rath, P. ; Panda, U.C. ; Bhatta, D. ; Sahu, K.C.

Journal of hazardous materials, 2009-04, Vol.163 (2), p.632-644 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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8
A stepwise cluster analysis approach for downscaled climate projection – A Canadian case study
A stepwise cluster analysis approach for downscaled climate projection – A Canadian case study
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A stepwise cluster analysis approach for downscaled climate projection – A Canadian case study

Wang, Xiuquan ; Huang, Guohe ; Lin, Qianguo ; Nie, Xianghui ; Cheng, Guanhui ; Fan, Yurui ; Li, Zhong ; Yao, Yao ; Suo, Meiqin

Environmental modelling & software : with environment data news, 2013-11, Vol.49, p.141-151 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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9
Determination of processes affecting groundwater quality in the coastal aquifer beneath Puri city, India: a multivariate statistical approach
Determination of processes affecting groundwater quality in the coastal aquifer beneath Puri city, India: a multivariate statistical approach
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Determination of processes affecting groundwater quality in the coastal aquifer beneath Puri city, India: a multivariate statistical approach

Mohapatra, P K ; Vijay, R ; Pujari, P R ; Sundaray, S K ; Mohanty, B P

Water science and technology, 2011-01, Vol.64 (4), p.809-817 [Periódico revisado por pares]

England: IWA Publishing

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10
Health concerns on provisional tolerable weekly intake of aluminium in children and adults from vegetables in Mandi-Gobindgarh (India)
Health concerns on provisional tolerable weekly intake of aluminium in children and adults from vegetables in Mandi-Gobindgarh (India)
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Health concerns on provisional tolerable weekly intake of aluminium in children and adults from vegetables in Mandi-Gobindgarh (India)

Mandal, Reshu ; Kaur, Sukhbir

Environmental geochemistry and health, 2020-09, Vol.42 (9), p.2943-2962 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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