Timoth Mkilima

Dr. Timoth Mkilima

L. N. Gumilyov Eurasian National University, Nur-Sultan, Astana, Kazakhstan
orcid

Research Focus & Metrics

Academic Career Length

57Years (1970-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2024 in Case Studies in Chemical and Environmental Engineering
Verified
Journal Article
Open access
TMTimoth Mkilima
Timoth Mkilima
YZYerkebulan Zharkenov
Yerkebulan Zharkenov
AAAisulu Abduova
Aisulu Abduova
NSNursulu Sarypbekova
Nursulu Sarypbekova
NKNurlan Kudaibergenov
Nurlan Kudaibergenov
GKGulmira Kenzhaliyeva
Gulmira Kenzhaliyeva

24 September 2020 in Membranes
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Journal Article
Open access
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KMKULYASH MEIRAMKULOVA
KULYASH MEIRAMKULOVA
DDDavud Devrishov
Davud Devrishov
MZMikhail G. Zhumagulov
Mikhail G. Zhumagulov
SASholpan Arystanova
Sholpan Arystanova
ZKZhaskhaiyr Karagoishin
Zhaskhaiyr Karagoishin
JLJianxin Li
Jianxin Li
Industrial activities produce a variety of pollutants that may not be easily treated using centralized wastewater treatment systems based on a single treatment unit. The variability of the pollutants brings the importance of industrial-specific integrated wastewater treatment plants such as integrated membrane filtration systems. However, the performance of a membrane filtration process can be highly affected by the presence of high amounts of suspended particles in the raw wastewater. Therefore, proper selection of a pre-treatment unit prior to a membrane filtration wastewater treatment system is a key aspect of its performance. This study investigated the performance of an integrated membrane filtration treatment system connected to an electrochemical process (pre-treatment) on the purification of a poultry slaughterhouse wastewater toward achieving a high-quality effluent. The industrial-scale treatment plant installed at the Izhevsk Production Corporative (PC) poultry farm in Kazakhstan is composed of an electrochemical, ultrafiltration (UF), and reverse osmosis (RO) as the main treatment units. From the analysis results, the electrochemical pre-treatment unit was observed to be highly effective for the removal of some physicochemical parameters such as turbidity, color, total suspended solids, total iron, aluminum, chemical oxygen demand, and biochemical oxygen demand; with removal efficiency ranging from 71 to 85%. The low removal efficiency of the pre-treatment system was also observed from free and total chlorine, nitrites, nitrates, phosphates, and ammonium nitrogen; with removal efficiency ranging from 4 to 45%. While in general, the overall treatment train was observed to be highly efficient for some physicochemical parameters such as turbidity, color, total suspended solids, as well as chemical and biochemical oxygen demand; maintaining almost 100% removal efficiency throughout the study period. Also, the high removal efficiency of the electrochemical pre-treatment processes led to a relatively low rate of cake formation on the membrane filters.

23 June 2020 in Sustainability
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Journal Article
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KMKULYASH MEIRAMKULOVA
KULYASH MEIRAMKULOVA
ZJZhanar Jakupova
Zhanar Jakupova
DODuman Orynbekov
Duman Orynbekov
YTYerbolat Tashenov
Yerbolat Tashenov
AKAliya Kydyrbekova
Aliya Kydyrbekova
Vassilis InglezakisVassilis Inglezakis
Vassilis Inglezakis
Understanding the efficiency of different wastewater treatment technologies tested under real conditions is essential for successful decision making by engineers and managers. In this study, real poultry slaughterhouse wastewater coming from defeathering, cooling, and evisceration processes was treated using a lab-scale electrochemical process by use of iron-iron (Fe-Fe), iron-graphite (Fe-Gr) and aluminum-graphite (Al-Gr) electrode combinations. A water quality index (WQI) was developed and used as a tool for evaluating and classifying the effectiveness of different electrode combinations. The Al-Gr electrode combination showed an impressive performance achieving an “excellent” status for all of the three studied sources of wastewater with a WQI ranging from 13 to 34. The Fe-Gr electrode combination showed an “excellent” status performance for the wastewater from the cooling process as classified by the WQI and “good water” class for the defeathering and evisceration processes. The lower performance, which was highly affected by the increase in turbidity, was observed for the Fe-Fe electrode combination with a “poor water” status for the wastewater coming from defeathering and cooling processes and “good water” status for evisceration process.

8 June 2020 in Sustainability
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KMKULYASH MEIRAMKULOVA
KULYASH MEIRAMKULOVA
Antonis A. ZorpasAntonis A. Zorpas
Antonis A. Zorpas
DODuman Orynbekov
Duman Orynbekov
MZMikhail G. Zhumagulov
Mikhail G. Zhumagulov
GSGulnur Saspugayeva
Gulnur Saspugayeva
Vassilis InglezakisVassilis Inglezakis
Vassilis Inglezakis
The efficiency of a wastewater treatment process may be affected by several factors including the scale at which the system is operating. This study aimed at investigating the influence of scale on a poultry slaughterhouse wastewater treatment process. The process is comprised of several units including electrolysis, membrane filtration, and ultraviolet irradiation. The results of the industrial-scale wastewater treatment plant of the Izevski poultry farm slaughterhouse in Kazakhstan were compared with those of a lab-scale wastewater treatment process under the same conditions. The traditional and water quality index (WQI) approaches were used to present the results and the drinking water quality standards of Kazakhstan were used as a reference. The industrial and lab-scale plants showed high purification efficiency for most of the studied water quality parameters. The comparative analysis based on the WQI showed that the industrial-scale wastewater treatment plant outperforms the lab-scale wastewater treatment process.

5 May 2025 in Annals of the New York Academy of Sciences
Verified
Journal Article
Closed access
TMTimoth Mkilima
Timoth Mkilima

11 March 2024 in Heliyon
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Journal Article
Open access
Yelbek UtepovYelbek Utepov
Yelbek Utepov
ANAlexandr Neftissov
Alexandr Neftissov
TMTimoth Mkilima
Timoth Mkilima
Zhanbolat ShakhmovZhanbolat Shakhmov
Zhanbolat Shakhmov
SASungat Akhazhanov
Sungat Akhazhanov
AKAigul Kenzhebekkyzy Kozhas
Aigul Kenzhebekkyzy Kozhas
Efficient sanitation system management relies on vigilant sewage surveillance to uphold environmental hygiene. The absence of robust monitoring infrastructure jeopardizes unimpeded conduit flow, leading to floods and contamination. The accumulation of harmful gases in sewer chambers, coupled with tampered lids, compounds sewer network challenges, resulting in structural damage, disruptions, and safety risks from accidents and gas inhalation. Notably, even vehicular transit is vulnerable, facing collisions due to inadequately secured manholes. The core objective of this research was to deconstruct and synthesize a prototype blueprint for a live-feed sewer monitoring framework (LSMF). This involves creating a data gathering nexus (DGN) and empirically assessing diverse wireless sensing implements (WSI) for precision. Simultaneously, a geographic information matrix (GIM) was developed with algorithms to detect sewer surges, blockages, and missing manhole covers. Three scrutinized sensors—the LiDar TF-Luna, laser TOF400 VL53L1X, and ultrasonic JSN-SR04T—were evaluated for their ability to measure water levels in sewer vaults. The results showed that the TF-Luna LiDar sensor performed favorably within the 1.0–5.0 m range, with a standard deviation of 0.44–1.15. The TOF400 laser sensor ranked second, with a more variable standard deviation of up to 104 as obstacle distance increased. In contrast, the JSN-SR04T ultrasonic sensor exhibited lower standard deviation but lacked consistency, maintaining readings of 0.22–0.23 m within the 2.0–5.0 m span. The insights from this study provide valuable guidance for sustainable solutions to sewer surveillance challenges. Moreover, employing a logarithmic function, TF-Luna Benewake exhibited reliability at approximately 84.5%, while TOF400 VL53L1X adopted an exponential equation, boasting reliability approaching approximately 89.6%. With this navigational tool, TF-Luna Benewake maintained accuracy within ±10 cm for distances ranging from 8 to 10 m, showcasing its exceptional performance.