Browsing by Author "Shakhmov, Zhanbolat"

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    Advancing sanitary surveillance: Innovating a live-feed sewer monitoring framework for effective water level and chamber cover detections
    (Elsevier BV, 2024) Utepov, Yelbek; Neftissov, Alexandr; Mkilima, Timoth; Shakhmov, Zhanbolat; Akhazhanov, Sungat; Kazkeyev, Alizhan; Mukhamejanova, Assel Toleubekovna; Kozhas, Aigul Kenzhebekkyzy
    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.
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    Exploring the potential of biofunctionalized agricultural waste adsorbents integrated with UV-LED disinfection for enhanced wastewater treatment
    (Elsevier BV, 2024) Mkilima, Timoth; Sabitov, Yerlan; Shakhmov, Zhanbolat; Abilmazhenov, Talgat; Tlegenov, Askar; Jumabayev, Atogali; Turashev, Agzhaik; Kaliyeva, Zhanar; Utepbergenova, Laura
    Agricultural waste holds promise as an adsorbent in wastewater treatment; however, its potential remains understudied, particularly regarding biofunctionalized grape pomace, coffee husks, and corn cobs for carwash wastewater treatment, along with their integration with solar-powered UV-LED disinfection. This study explores the effectiveness of these bio-functionalized adsorbents in wastewater treatment, revealing grape pomace's high efficacy in removing lead (95.2%), fluorides (94.4%), and nitrates (94.8%), while corn cobs and coffee husks showed significant removal efficiencies for zinc (88.5% and 95.5%, respectively) and cyanides (84.8% and 89.6%, respectively). Grape pomace exhibited a maximum adsorption capacity (qmax) of 162.6 mg/g for lead ions, while coffee husks had the highest qmax of 182.82 mg/g. Kinetic analysis indicated corn cobs' slower initial adsorption capacity and moderate adsorption rate, contrasting with grape pomace and coffee husks. Furthermore, treatment with these adsorbents, followed by UV-LED disinfection, substantially reduced microbial counts in treated water, underscoring their potential in ensuring water safety. The integration of biofunctionalized adsorbents with UV-LED disinfection presents a promising approach for sustainable and efficient wastewater treatment, with implications for water quality improvement and public health protection.