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Berens MJ, Deen TW, Chun CL. Bioelectrochemical reactor to manage anthropogenic sulfate pollution for freshwater ecosystems: Mathematical modeling and experimental validation. CHEMOSPHERE 2024; 357:142054. [PMID: 38642774 DOI: 10.1016/j.chemosphere.2024.142054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/08/2024] [Accepted: 04/13/2024] [Indexed: 04/22/2024]
Abstract
Anthropogenic sulfate loading into otherwise low-sulfate freshwater systems can cause significant ecological consequences as a biogeochemical stressor. To address this challenge, in situ bioremediation technologies have been developed to leverage naturally occurring microorganisms that transform sulfate into sulfide rather than implementing resource-intensive physio-chemical processes. However, bioremediation technologies often require the supply of electron donors to facilitate biological sulfate reduction. Bioelectrochemical systems (BES) can be an alternative approach for supplying molecular hydrogen as an electron donor for sulfate-reducing bacteria through water electrolysis. Although the fundamental mechanisms behind BESs have been studied, limited research has evaluated the design and operational parameters of treatment systems when developing BESs on a scale relevant to environmental systems. This study aimed to develop an application-based mathematical model to evaluate the performance of BESs across a range of reactor configurations and operational modes. The model was based on sulfate transformation by hydrogenotrophic sulfate-reducing bacteria coupled with the recovery of solid iron sulfide species formed by the oxidative dissolution of dissolved ferrous iron from a stainless steel anode. Sulfate removal closely corresponded to the rate of electrolytic hydrogen production and hydraulic residence time but was less sensitive to specific microbial rate constants. The mathematical model results were compared to experimental data from a pilot-scale BES tested with nonacidic mine drainage as a case study. The close agreement between the mathematical model and the pilot-scale BES experiment highlights the efficacy of using a mathematical model as a tool to develop a conceptual design of a scaled-up treatment system.
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Affiliation(s)
- Matthew J Berens
- Natural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, 55811, USA; Current Address: Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Tobin W Deen
- Natural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, 55811, USA; Department of Civil Engineering, University of Minnesota Duluth, Duluth, MN, 55805, USA
| | - Chan Lan Chun
- Natural Resources Research Institute, University of Minnesota Duluth, Duluth, MN, 55811, USA; Department of Civil Engineering, University of Minnesota Duluth, Duluth, MN, 55805, USA.
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Zhang J, Li X, Qian A, Xu X, Lv Y, Zhou X, Yang X, Zhu W, Zhang H, Ding Y. Effects of operating conditions on the in situ control of sulfur-containing odors by using a novel alternative landfill cover and its transformation mechanism. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:7959-7976. [PMID: 38175505 DOI: 10.1007/s11356-023-31721-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
Sulfur-containing gases are main sources of landfill odors, which has become a big issue for pollution to environment and human health. Biocover is promising for treating landfill odors, with advantages of durability and environmental friendliness. In this study, charcoal sludge compost was utilized as the main effective component of a novel alternative landfill cover and the in situ control of sulfur-containing odors from municipal solid waste landfilling process was simulated under nine different operating conditions. Results showed that five sulfur-containing odors (hydrogen sulfide, H2S; methyl mercaptan, CH3SH; dimethyl sulfide, CH3SCH3; ethylmercaptan, CH3CH2SH; carbon disulfide, CS2) were monitored and removed by the biocover, with the highest removal efficiencies of 77.18% for H2S, 87.36% for CH3SH, and 92.19% for CH3SCH3 in reactor 8#, and 95.94% for CH3CH2SH and 94.44% for CS2 in reactor 3#. The orthogonal experiment showed that the factors influencing the removal efficiencies of sulfur-containing odors were ranked from high to low as follows: temperature > weight ratio > humidity content. The combination of parameters of 20% weight ratio, 25°C temperature, and 30% water content was more recommended based on the consideration of the removal efficiencies and economic benefits. The mechanisms of sulfur conversion inside biocover were analyzed. Most organic sulfur was firstly degraded to reduced sulfides or element sulfur, and then oxidized to sulfate which could be stable in the layer as the final state. In this process, sulfur-oxidizing bacteria play a great role, and the distribution of them in reactor 1#, 5#, and 8# was specifically monitored. Bradyrhizobiaceae and Rhodospirillaceae were the dominant species which can utilize sulfide as substance to produce sulfate and element sulfur, respectively. Based on the results of OUTs, the biodiversity of these sulfur-oxidizing bacteria, these microorganisms, was demonstrated to be affected by the different parameters. These results indicate that the novel alternative landfill cover modified with bamboo charcoal compost is effective in removing sulfur odors from landfills. Meanwhile, the findings have direct implications for addressing landfill odor problems through parameter adjustment.
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Affiliation(s)
- Jiayi Zhang
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Xiaowen Li
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Aiai Qian
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Xianwen Xu
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Ya Lv
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Xinrong Zhou
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Xinrui Yang
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Weiqin Zhu
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Hangjun Zhang
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China
| | - Ying Ding
- Department of Environmental Science and Engineering, Hangzhou Normal University, Hangzhou, 310036, People's Republic of China.
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