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Trickling filter

About: Trickling filter is a research topic. Over the lifetime, 1098 publications have been published within this topic receiving 20219 citations.


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Patent
01 Apr 2015
TL;DR: In this paper, a culture wastewater biphase biological purification system and a treatment method thereof is described, which consists of a conditioning tank, an aerobic trickling filter, an anaerobic trickler filter and a precipitation tank which are sequentially connected.
Abstract: The invention discloses a culture wastewater biphase biological purification system and a treatment method thereof. The system comprises a conditioning tank, an aerobic trickling filter, an anaerobic trickling filter and a precipitation tank which are sequentially connected. In the wastewater treatment process, the wastewater is firstly introduced into the conditioning tank to regulate the pH value; after the florae are inoculated to the aerobic and anaerobic trickling filters, the wastewater in the conditioning tank is introduced into the aerobic trickling filter to perform aerobic treatment, and flows into the anaerobic trickling filter to perform anaerobic treatment; and the wastewater flows into the precipitation tank to further removal solid matters, and then is discharged after reaching the standard. The technique is simple; by adding a porous biochar granule mixed filling material into the trickling filters, the system has favorable filtering and film-forming effects; after the two-stage filter treatment, the BOD (biochemical oxygen demand) removal ratio can reach 80% above, and the COD (chemical oxygen demand) removal ratio can reach 70% above; and the effluent water from the precipitation tank can reach the national standard and can be directly discharged or used for irrigation of agricultural land. The technique does not need repeated precipitation, has fewer steps, and can save the cost and enhance the efficiency.

2 citations

DOI
01 Jan 2008
Abstract: Anionic surfactants are wildly used in many industrial and household applications. Because anionic surfactants are used so widely, significant attention has focused on the removal of these contaminants from wastewater. Among various treatment techniques, biofiltration, such as trickling filter technologies, has been employed in many wastewater treatment plants (WWPTs) to remove anionic surfactants. However, current knowledge of the efficacy of trickling filter to remove anionic surfactants from wastewaters is limited. The present study characterized the performance of a high rate (i.e. roughing) trickling filter to remove anionic surfactants both at lab-scale and pilot-scale. Lab-scale tests investigated the biodegradation of anionic surfactants under controllable conditions were compared with those from previous studies by others. Pilot-scale tests investigated the efficacy of a trickling filter at removing anionic surfactants from a wastewater over an extended period of time. The data from the pilot-scale tests were used to model the performance of trickling filter at removing anionic surfactants from the wastewater, using first order and modified Velz models. The lab-scale tests indicated that high molecular weight anionic surfactants degrade faster than the low molecular weight surfactants. The biodegradation rates observed in the present study were similar to those from pervious studies by others. The pilot-scale tests indicated that roughing trickling filter could remove 11% to 29% of anionic surfactants and 4% to 22% of COD from the wastewater. Higher molecular weight anionic surfactants were more degradable. The experimental data could be accurately modeled using the modified Velz model (R 2 value more than 0.9). The degradation rates of modified Velz model for total anionic surfactants, high molecular weight anionic surfactants and COD were 0.053±0.0057, 0.088±0.0048 and 0.119±0.0111 (mIs) ° respectively.

2 citations

Journal ArticleDOI
TL;DR: In this article, a bioelectrochemical trickling filter bed reactor (BE-TFBR) was studied as a post-treatment process to upgrade biogas and treat digestate.

2 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202318
202229
202133
202034
201932
201826