Bibliographic Details
| Title: |
Evaluation and modelling of helminth eggs removal in baffled and unbaffled ponds treating anaerobic effluent. |
| Authors: |
Von Sperling, M.1 marcos@desa.ufmg.br, Chernicharo, C. A. L.1, Soares, A. M. E.1, Zerbini, A. M.1 |
| Source: |
Water Science & Technology. 2003, Vol. 48 Issue 2, p113-120. 8p. |
| Subjects: |
Sewage lagoons, Upflow anaerobic sludge blanket (UASB) reactor, Ascaris lumbricoides, Parasitic diseases, Sewage sludge, Data modeling, Model-integrated computing, Anaerobic digestion, Prevention |
| Geographic Terms: |
Brazil |
| Abstract: |
The paper evaluates and models helminth eggs removal in a combined UASB (Upflow Anaerobic Sludge Blanket) reactor -- maturation pond system (one baffled and one unbaffled pond in parallel). The system is comprised of demonstration-scale units, treating actual domestic sewage from Itabira city, Brazil. The paper addresses the following points: (i) removal of helminth eggs from the wastewater in the system; (ii) comparison of the observed removal efficiency with the predictions using the Ayres et al. model; (iii) accumulation of helminth eggs in the sludge; (iv) viability of eggs in the sludge; (v) distribution of helminth species in the sludge. The removal efficiency of helminth eggs from the wastewater in both ponds was 100% for most of the time (0 counts in the final effluent). The predictions of helminth eggs removal according to the Ayres et al. model can be considered reasonable. After one year of operation, 88% of the eggs in the sludge remained viable. Helminth eggs counts in the sludge tended to decrease along the baffled pond length (from first to last compartment). The prevailing helminth species found in the sludge from both ponds was Ascaris lumbricoides. [ABSTRACT FROM AUTHOR] |
|
Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |