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Showing 1 to 12 of 126 entries
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Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities.

Environmental engineering science

Zhao YG, Zhang Y, She Z, Shi Y, Wang M, Gao M, Guo L.
PMID: 28947873
Environ Eng Sci. 2017 Sep 01;34(9):666-674. doi: 10.1089/ees.2016.0604.

Performance of microbial fuel cells (MFCs) was monitored during the influent nutrient change from lactate to glucose/acetate/propionate and then to lactate. Meanwhile, anodic microbial communities were characterized by culture-independent molecular biotechnologies. Results showed MFC performance recovered rapidly when the...

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Zhao YG, Zhang Y, She Z, et al. Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities. Environ Eng Sci. 2017;34(9):666-674doi: 10.1089/ees.2016.0604.
Zhao, Y. G., Zhang, Y., She, Z., Shi, Y., Wang, M., Gao, M., & Guo, L. (2017). Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities. Environmental engineering science, 34(9), 666-674. https://doi.org/10.1089/ees.2016.0604
Zhao, Yang-Guo, et al. "Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities." Environmental engineering science vol. 34,9 (2017): 666-674. doi: https://doi.org/10.1089/ees.2016.0604
Zhao YG, Zhang Y, She Z, Shi Y, Wang M, Gao M, Guo L. Effect of Substrate Conversion on Performance of Microbial Fuel Cells and Anodic Microbial Communities. Environ Eng Sci. 2017 Sep 01;34(9):666-674. doi: 10.1089/ees.2016.0604. PMID: 28947873; PMCID: PMC5610400.
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Association of Growth Substrates and Bacterial Genera with Benzo[.

Environmental engineering science

Jones MD, Rodgers-Vieira EA, Hu J, Aitken MD.
PMID: 25469077
Environ Eng Sci. 2014 Dec 01;31(12):689-697. doi: 10.1089/ees.2014.0275.

Benzo[

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Jones MD, Rodgers-Vieira EA, Hu J, et al. Association of Growth Substrates and Bacterial Genera with Benzo[. Environ Eng Sci. 2014;31(12):689-697doi: 10.1089/ees.2014.0275.
Jones, M. D., Rodgers-Vieira, E. A., Hu, J., & Aitken, M. D. (2014). Association of Growth Substrates and Bacterial Genera with Benzo[. Environmental engineering science, 31(12), 689-697. https://doi.org/10.1089/ees.2014.0275
Jones, Maiysha D, et al. "Association of Growth Substrates and Bacterial Genera with Benzo[." Environmental engineering science vol. 31,12 (2014): 689-697. doi: https://doi.org/10.1089/ees.2014.0275
Jones MD, Rodgers-Vieira EA, Hu J, Aitken MD. Association of Growth Substrates and Bacterial Genera with Benzo[. Environ Eng Sci. 2014 Dec 01;31(12):689-697. doi: 10.1089/ees.2014.0275. PMID: 25469077; PMCID: PMC4245834.
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Understanding Regeneration of Arsenate-Loaded Ferric Hydroxide-Based Adsorbents.

Environmental engineering science

Chaudhary BK, Farrell J.
PMID: 25873779
Environ Eng Sci. 2015 Apr 01;32(4):353-360. doi: 10.1089/ees.2014.0453.

Adsorbents comprising ferric hydroxide loaded on a variety of support materials are commonly used to remove arsenic from potable water. Although several studies have investigated the effects of support properties on arsenic adsorption, there have been no investigations of...

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Chaudhary BK, Farrell J. Understanding Regeneration of Arsenate-Loaded Ferric Hydroxide-Based Adsorbents. Environ Eng Sci. 2015;32(4):353-360doi: 10.1089/ees.2014.0453.
Chaudhary, B. K., & Farrell, J. (2015). Understanding Regeneration of Arsenate-Loaded Ferric Hydroxide-Based Adsorbents. Environmental engineering science, 32(4), 353-360. https://doi.org/10.1089/ees.2014.0453
Chaudhary, Binod Kumar, and Farrell, James. "Understanding Regeneration of Arsenate-Loaded Ferric Hydroxide-Based Adsorbents." Environmental engineering science vol. 32,4 (2015): 353-360. doi: https://doi.org/10.1089/ees.2014.0453
Chaudhary BK, Farrell J. Understanding Regeneration of Arsenate-Loaded Ferric Hydroxide-Based Adsorbents. Environ Eng Sci. 2015 Apr 01;32(4):353-360. doi: 10.1089/ees.2014.0453. PMID: 25873779; PMCID: PMC4378614.
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Long-Term Behavior of Simulated Partial Lead Service Line Replacements.

Environmental engineering science

St Clair J, Cartier C, Triantafyllidou S, Clark B, Edwards M.
PMID: 26989344
Environ Eng Sci. 2016 Jan 01;33(1):53-64. doi: 10.1089/ees.2015.0337.

In this 48-month pilot study, long-term impacts of copper:lead galvanic connections on lead release to water were assessed without confounding differences in pipe exposure prehistory or disturbances arising from cutting lead pipe. Lead release was tracked from three lead...

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St Clair J, Cartier C, Triantafyllidou S, et al. Long-Term Behavior of Simulated Partial Lead Service Line Replacements. Environ Eng Sci. 2016;33(1):53-64doi: 10.1089/ees.2015.0337.
St Clair, J., Cartier, C., Triantafyllidou, S., Clark, B., & Edwards, M. (2016). Long-Term Behavior of Simulated Partial Lead Service Line Replacements. Environmental engineering science, 33(1), 53-64. https://doi.org/10.1089/ees.2015.0337
St Clair, Justin, et al. "Long-Term Behavior of Simulated Partial Lead Service Line Replacements." Environmental engineering science vol. 33,1 (2016): 53-64. doi: https://doi.org/10.1089/ees.2015.0337
St Clair J, Cartier C, Triantafyllidou S, Clark B, Edwards M. Long-Term Behavior of Simulated Partial Lead Service Line Replacements. Environ Eng Sci. 2016 Jan 01;33(1):53-64. doi: 10.1089/ees.2015.0337. PMID: 26989344; PMCID: PMC4770854.
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Identifying the Correct Biotransformation Model from Polychlorinated Biphenyl and Dioxin Dechlorination Batch Studies.

Environmental engineering science

Krumins V, Fennell DE.
PMID: 25317036
Environ Eng Sci. 2014 Oct 01;31(10):548-555. doi: 10.1089/ees.2013.0463.

We performed Monte Carlo simulations of batch transformations of hydrophobic compounds using typical numbers of data points, extent of reaction, and measurement error, to identify the most appropriate biotransformation model to describe such data under different conditions. Highly hydrophobic...

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Krumins V, Fennell DE. Identifying the Correct Biotransformation Model from Polychlorinated Biphenyl and Dioxin Dechlorination Batch Studies. Environ Eng Sci. 2014;31(10):548-555doi: 10.1089/ees.2013.0463.
Krumins, V., & Fennell, D. E. (2014). Identifying the Correct Biotransformation Model from Polychlorinated Biphenyl and Dioxin Dechlorination Batch Studies. Environmental engineering science, 31(10), 548-555. https://doi.org/10.1089/ees.2013.0463
Krumins, Valdis, and Fennell, Donna E. "Identifying the Correct Biotransformation Model from Polychlorinated Biphenyl and Dioxin Dechlorination Batch Studies." Environmental engineering science vol. 31,10 (2014): 548-555. doi: https://doi.org/10.1089/ees.2013.0463
Krumins V, Fennell DE. Identifying the Correct Biotransformation Model from Polychlorinated Biphenyl and Dioxin Dechlorination Batch Studies. Environ Eng Sci. 2014 Oct 01;31(10):548-555. doi: 10.1089/ees.2013.0463. PMID: 25317036; PMCID: PMC4188385.
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Atmospheric Emissions from Forest Biomass Residues to Energy Supply Chain: A Case Study in Portugal.

Environmental engineering science

Rafael S, Tarelho L, Monteiro A, Monteiro T, Gonçalves C, Freitas S, Lopes M.
PMID: 26064039
Environ Eng Sci. 2015 Jun 01;32(6):505-515. doi: 10.1089/ees.2014.0420.

During the past decades, pressures on global environment and energy security have led to an increasing demand on renewable energy sources and diversification of the world's energy supply. The Portuguese energy strategy considers the use of Forest Biomass Residues...

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Rafael S, Tarelho L, Monteiro A, et al. Atmospheric Emissions from Forest Biomass Residues to Energy Supply Chain: A Case Study in Portugal. Environ Eng Sci. 2015;32(6):505-515doi: 10.1089/ees.2014.0420.
Rafael, S., Tarelho, L., Monteiro, A., Monteiro, T., Gonçalves, C., Freitas, S., & Lopes, M. (2015). Atmospheric Emissions from Forest Biomass Residues to Energy Supply Chain: A Case Study in Portugal. Environmental engineering science, 32(6), 505-515. https://doi.org/10.1089/ees.2014.0420
Rafael, Sandra, et al. "Atmospheric Emissions from Forest Biomass Residues to Energy Supply Chain: A Case Study in Portugal." Environmental engineering science vol. 32,6 (2015): 505-515. doi: https://doi.org/10.1089/ees.2014.0420
Rafael S, Tarelho L, Monteiro A, Monteiro T, Gonçalves C, Freitas S, Lopes M. Atmospheric Emissions from Forest Biomass Residues to Energy Supply Chain: A Case Study in Portugal. Environ Eng Sci. 2015 Jun 01;32(6):505-515. doi: 10.1089/ees.2014.0420. PMID: 26064039; PMCID: PMC4449722.
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Fenton Oxidation Kinetics and Intermediates of Nonylphenol Ethoxylates.

Environmental engineering science

Cui K, Yi H, Zhou ZJ, Zhuo QF, Bing YX, Guo QW, Xu ZC.
PMID: 24868141
Environ Eng Sci. 2014 May 01;31(5):217-224. doi: 10.1089/ees.2013.0308.

Removal of nonylphenol ethoxylates (NPEOs) in aqueous solution by Fenton oxidation process was studied in a laboratory-scale batch reactor. Operating parameters, including initial pH temperature, hydrogen peroxide, and ferrous ion dosage, were thoroughly investigated. Maximum NPEOs reduction of 84%...

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Cui K, Yi H, Zhou ZJ, et al. Fenton Oxidation Kinetics and Intermediates of Nonylphenol Ethoxylates. Environ Eng Sci. 2014;31(5):217-224doi: 10.1089/ees.2013.0308.
Cui, K., Yi, H., Zhou, Z. J., Zhuo, Q. F., Bing, Y. X., Guo, Q. W., & Xu, Z. C. (2014). Fenton Oxidation Kinetics and Intermediates of Nonylphenol Ethoxylates. Environmental engineering science, 31(5), 217-224. https://doi.org/10.1089/ees.2013.0308
Cui, Kai, et al. "Fenton Oxidation Kinetics and Intermediates of Nonylphenol Ethoxylates." Environmental engineering science vol. 31,5 (2014): 217-224. doi: https://doi.org/10.1089/ees.2013.0308
Cui K, Yi H, Zhou ZJ, Zhuo QF, Bing YX, Guo QW, Xu ZC. Fenton Oxidation Kinetics and Intermediates of Nonylphenol Ethoxylates. Environ Eng Sci. 2014 May 01;31(5):217-224. doi: 10.1089/ees.2013.0308. PMID: 24868141; PMCID: PMC4027986.
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Chelate-Modified Fenton Reaction for the Degradation of Trichloroethylene in Aqueous and Two-Phase Systems.

Environmental engineering science

Lewis S, Lynch A, Bachas L, Hampson S, Ormsbee L, Bhattacharyya D.
PMID: 20418966
Environ Eng Sci. 2009 Mar 26;26(4):849-859. doi: 10.1089/ees.2008.0277.

The primary objective of this research was to model and understand the chelate-modified Fenton reaction for the destruction of trichloroethylene (TCE) present in both the aqueous and organic (in the form of droplets) phases. The addition of a nontoxic...

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Lewis S, Lynch A, Bachas L, et al. Chelate-Modified Fenton Reaction for the Degradation of Trichloroethylene in Aqueous and Two-Phase Systems. Environ Eng Sci. 2009;26(4):849-859doi: 10.1089/ees.2008.0277.
Lewis, S., Lynch, A., Bachas, L., Hampson, S., Ormsbee, L., & Bhattacharyya, D. (2009). Chelate-Modified Fenton Reaction for the Degradation of Trichloroethylene in Aqueous and Two-Phase Systems. Environmental engineering science, 26(4), 849-859. https://doi.org/10.1089/ees.2008.0277
Lewis, Scott, et al. "Chelate-Modified Fenton Reaction for the Degradation of Trichloroethylene in Aqueous and Two-Phase Systems." Environmental engineering science vol. 26,4 (2009): 849-859. doi: https://doi.org/10.1089/ees.2008.0277
Lewis S, Lynch A, Bachas L, Hampson S, Ormsbee L, Bhattacharyya D. Chelate-Modified Fenton Reaction for the Degradation of Trichloroethylene in Aqueous and Two-Phase Systems. Environ Eng Sci. 2009 Mar 26;26(4):849-859. doi: 10.1089/ees.2008.0277. PMID: 20418966; PMCID: PMC2858874.
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A Hybrid Interval-Robust Optimization Model for Water Quality Management.

Environmental engineering science

Xu J, Li Y, Huang G.
PMID: 23922495
Environ Eng Sci. 2013 May;30(5):248-263. doi: 10.1089/ees.2012.0083.

In water quality management problems, uncertainties may exist in many system components and pollution-related processes (

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Xu J, Li Y, Huang G. A Hybrid Interval-Robust Optimization Model for Water Quality Management. Environ Eng Sci. 2013;30(5):248-263doi: 10.1089/ees.2012.0083.
Xu, J., Li, Y., & Huang, G. (2013). A Hybrid Interval-Robust Optimization Model for Water Quality Management. Environmental engineering science, 30(5), 248-263. https://doi.org/10.1089/ees.2012.0083
Xu, Jieyu, et al. "A Hybrid Interval-Robust Optimization Model for Water Quality Management." Environmental engineering science vol. 30,5 (2013): 248-263. doi: https://doi.org/10.1089/ees.2012.0083
Xu J, Li Y, Huang G. A Hybrid Interval-Robust Optimization Model for Water Quality Management. Environ Eng Sci. 2013 May;30(5):248-263. doi: 10.1089/ees.2012.0083. PMID: 23922495; PMCID: PMC3655629.
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Report: Combustion Byproducts and Their Health Effects: Summary of the 10th International Congress.

Environmental engineering science

Dellinger B, D'Alessio A, D'Anna A, Ciajolo A, Gullett B, Henry H, Keener M, Lighty J, Lomnicki S, Lucas D, Oberdörster G, Pitea D, Suk W, Sarofim A, Smith KR, Stoeger T, Tolbert P, Wyzga R, Zimmermann R.
PMID: 22476005
Environ Eng Sci. 2008 Oct;25(8):1107-1114. doi: 10.1089/ees.2008.0233.

The 10th International Congress on Combustion Byproducts and their Health Effects was held in Ischia, Italy, from June 17-20, 2007. It is sponsored by the US NIEHS, NSF, Coalition for Responsible Waste Incineration (CRWI), and Electric Power Research Institute...

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Dellinger B, D'Alessio A, D'Anna A, et al. Report: Combustion Byproducts and Their Health Effects: Summary of the 10th International Congress. Environ Eng Sci. 2008;25(8):1107-1114doi: 10.1089/ees.2008.0233.
Dellinger, B., D'Alessio, A., D'Anna, A., Ciajolo, A., Gullett, B., Henry, H., Keener, M., Lighty, J., Lomnicki, S., Lucas, D., Oberdörster, G., Pitea, D., Suk, W., Sarofim, A., Smith, K. R., Stoeger, T., Tolbert, P., Wyzga, R., & Zimmermann, R. (2008). Report: Combustion Byproducts and Their Health Effects: Summary of the 10th International Congress. Environmental engineering science, 25(8), 1107-1114. https://doi.org/10.1089/ees.2008.0233
Dellinger, Barry, et al. "Report: Combustion Byproducts and Their Health Effects: Summary of the 10th International Congress." Environmental engineering science vol. 25,8 (2008): 1107-1114. doi: https://doi.org/10.1089/ees.2008.0233
Dellinger B, D'Alessio A, D'Anna A, Ciajolo A, Gullett B, Henry H, Keener M, Lighty J, Lomnicki S, Lucas D, Oberdörster G, Pitea D, Suk W, Sarofim A, Smith KR, Stoeger T, Tolbert P, Wyzga R, Zimmermann R. Report: Combustion Byproducts and Their Health Effects: Summary of the 10th International Congress. Environ Eng Sci. 2008 Oct;25(8):1107-1114. doi: 10.1089/ees.2008.0233. PMID: 22476005; PMCID: PMC2963595.
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Simultaneous Removal of Nitrate and Natural Organic Matter from Drinking Water Using a Hybrid Heterotrophic/Autotrophic/Biological Activated Carbon Bioreactor.

Environmental engineering science

Saeedi R, Naddafi K, Nabizadeh R, Mesdaghinia A, Nasseri S, Alimohammadi M, Nazmara S.
PMID: 22479146
Environ Eng Sci. 2012 Feb;29(2):93-100. doi: 10.1089/ees.2011.0077.

Simultaneous removal of nitrate ([Formula: see text]) and natural organic matter (NOM) from drinking water using a hybrid heterotrophic/autotrophic/BAC bioreactor (HHABB) was studied in continuous mode. The HHABB consisted of three compartments: ethanol heterotrophic part, sulfur autotrophic part, and...

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Saeedi R, Naddafi K, Nabizadeh R, et al. Simultaneous Removal of Nitrate and Natural Organic Matter from Drinking Water Using a Hybrid Heterotrophic/Autotrophic/Biological Activated Carbon Bioreactor. Environ Eng Sci. 2012;29(2):93-100doi: 10.1089/ees.2011.0077.
Saeedi, R., Naddafi, K., Nabizadeh, R., Mesdaghinia, A., Nasseri, S., Alimohammadi, M., & Nazmara, S. (2012). Simultaneous Removal of Nitrate and Natural Organic Matter from Drinking Water Using a Hybrid Heterotrophic/Autotrophic/Biological Activated Carbon Bioreactor. Environmental engineering science, 29(2), 93-100. https://doi.org/10.1089/ees.2011.0077
Saeedi, Reza, et al. "Simultaneous Removal of Nitrate and Natural Organic Matter from Drinking Water Using a Hybrid Heterotrophic/Autotrophic/Biological Activated Carbon Bioreactor." Environmental engineering science vol. 29,2 (2012): 93-100. doi: https://doi.org/10.1089/ees.2011.0077
Saeedi R, Naddafi K, Nabizadeh R, Mesdaghinia A, Nasseri S, Alimohammadi M, Nazmara S. Simultaneous Removal of Nitrate and Natural Organic Matter from Drinking Water Using a Hybrid Heterotrophic/Autotrophic/Biological Activated Carbon Bioreactor. Environ Eng Sci. 2012 Feb;29(2):93-100. doi: 10.1089/ees.2011.0077. PMID: 22479146; PMCID: PMC3267965.
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Decision Tree-Based Classifier Combined with Neural-Based Predictor for Water-Stage Forecasts in a River Basin During Typhoons: A Case Study in Taiwan.

Environmental engineering science

Tsai CC, Lu MC, Wei CC.
PMID: 22479147
Environ Eng Sci. 2012 Feb;29(2):108-116. doi: 10.1089/ees.2011.0210.

To solve the complicated problem of water-stage predictions under the interaction of upstream flows and tidal effects during typhoon attacks, this article presents a novel approach to river-stage predictions. The proposed CART-ANN model combines both the decision trees (classification...

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Tsai CC, Lu MC, Wei CC. Decision Tree-Based Classifier Combined with Neural-Based Predictor for Water-Stage Forecasts in a River Basin During Typhoons: A Case Study in Taiwan. Environ Eng Sci. 2012;29(2):108-116doi: 10.1089/ees.2011.0210.
Tsai, C. C., Lu, M. C., & Wei, C. C. (2012). Decision Tree-Based Classifier Combined with Neural-Based Predictor for Water-Stage Forecasts in a River Basin During Typhoons: A Case Study in Taiwan. Environmental engineering science, 29(2), 108-116. https://doi.org/10.1089/ees.2011.0210
Tsai, Chia-Cheng, et al. "Decision Tree-Based Classifier Combined with Neural-Based Predictor for Water-Stage Forecasts in a River Basin During Typhoons: A Case Study in Taiwan." Environmental engineering science vol. 29,2 (2012): 108-116. doi: https://doi.org/10.1089/ees.2011.0210
Tsai CC, Lu MC, Wei CC. Decision Tree-Based Classifier Combined with Neural-Based Predictor for Water-Stage Forecasts in a River Basin During Typhoons: A Case Study in Taiwan. Environ Eng Sci. 2012 Feb;29(2):108-116. doi: 10.1089/ees.2011.0210. PMID: 22479147; PMCID: PMC3267963.
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Showing 1 to 12 of 126 entries