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Research Article
Xintai Su
SCUT: South China University of Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6615-5273
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Sewage sludge (SS) dewatering is a key step in sludge disposal, which plays an important role in reducing sludge volume, facilitating transportation and subsequent treatment. In recent years, many studies have focused on sludge hydrothermal dewatering, while resource recovery during this process is less studied, especially humic substances. In this paper, a facile and low-cost hydrothermal-alkaline treatment for SS was proposed, which can be used for sludge dewatering and humic acid (HA) recycling at the same time. Response surface methodology (RSM) was used to determine the optimal conditions, and a mathematical model was established to accurately predict the change of sludge water content and the extraction rate of HA. Under the optimal conditions of 170 °C/42 min/0.05 (for hydrothermal temperature, hydrothermal time and mass ratio of KOH to wet sludge, respectively), the water content decreased to 46.7% and the extraction rate of HA (with a purity of 96.2%) was 89.1%. The improvement of the dewatering performance effectively facilitates the subsequent disposal of the sludge. The extraction of HA not only solves the problem that the sludge separation liquid needs further treatment, but also has potential economic value in agriculture, biological medicine, environment and other fields.
Keywords
Sewage sludge, Dewatering, Humic acid, Recycling, Hydrothermal treatment, Response surface methodology
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This preprint is under consideration at Environmental Science and Pollution Research. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Xintai Su
SCUT: South China University of Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6615-5273
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 09 Mar, 2021
No community comments so far
Reviewers invited
Invitations sent on 06 Mar, 2021
Reviews received
Received 06 Mar, 2021
Editor invited
On 21 Feb, 2021
Editor assigned
On 10 Feb, 2021
First submitted
On 07 Feb, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Environmental Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Sewage sludge (SS) dewatering is a key step in sludge disposal, which plays an important role in reducing sludge volume, facilitating transportation and subsequent treatment. In recent years, many studies have focused on sludge hydrothermal dewatering, while resource recovery during this process is less studied, especially humic substances. In this paper, a facile and low-cost hydrothermal-alkaline treatment for SS was proposed, which can be used for sludge dewatering and humic acid (HA) recycling at the same time. Response surface methodology (RSM) was used to determine the optimal conditions, and a mathematical model was established to accurately predict the change of sludge water content and the extraction rate of HA. Under the optimal conditions of 170 °C/42 min/0.05 (for hydrothermal temperature, hydrothermal time and mass ratio of KOH to wet sludge, respectively), the water content decreased to 46.7% and the extraction rate of HA (with a purity of 96.2%) was 89.1%. The improvement of the dewatering performance effectively facilitates the subsequent disposal of the sludge. The extraction of HA not only solves the problem that the sludge separation liquid needs further treatment, but also has potential economic value in agriculture, biological medicine, environment and other fields.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
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