International Journal of Environmental Research, Journal Year: 2022, Volume and Issue: 17(1)
Published: Nov. 19, 2022
Language: Английский
Sustainable Development, Journal Year: 2023, Volume and Issue: unknown
Published: July 4, 2023
Abstract Digital economy takes data as its core input element and has high green value, but does the development of digital necessarily promote sustainable development? We use 286 Chinese cities from 2011 to 2019 a case study examine impact on urban development, discuss mechanisms heterogeneous impacts, threshold effects environmental regulations, role National Big Data Comprehensive Pilot Zone. It was found that: (1) The value can effectively contribute development. (2) achieve by enhancing technological innovation human capital. (3) Environmental regulation effect in driving (4) establishment Zone (5) polarization level first‐tier second‐tier is still increasing under background economy, which intensifies “Matthew effect” among different levels cities, inclusiveness not really been reflected China. This explores influence mechanism context China, great theoretical practical significance for developing countries solve Solow productivity paradox realize new stage.
Language: Английский
Citations
64
Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105486 - 105486
Published: May 30, 2024
Wastewater treatment plants (WWTPs) play a crucial role in ensuring safe environment by effectively removing contaminants and minimizing pollutant discharges. Compliance with stringent regulations the search for sustainable processes pose new challenges provide opportunities innovative solutions. These solutions include using wastewater as resource to recover value-added by-products, such clean water, renewable energy, nutrients, while optimizing energy consumption reducing operating costs without compromising performance. To drive continuous innovation treatment, integration of advanced technologies robust monitoring control systems is imperative. This review explores advancements automation process within WWTPs. In this context, Internet Things (IoT), cloud computing, big data analytics, artificial intelligence (AI), blockchain, robotics, drones, virtual/augmented reality (VR/AR), digital twin are identified promising tools developing innovative, smart, efficient systems. While these offers many benefits, further research essential optimize their performance cost-effectiveness. A detailed overview current future applications smart provided, emphasizing strengths, limitations, improvements.
Language: Английский
Citations
17
Water, Journal Year: 2025, Volume and Issue: 17(2), P. 170 - 170
Published: Jan. 10, 2025
Artificial intelligence (AI) uses highly powerful computers to mimic human intelligent behavior; it is a major research hotspot in science and technology, with an increasing number of applications wider range fields, including complex process supervision control. Wastewater treatment example involving many uncertainties external factors achieve final product specific requisites (effluents prescribed quality). Reducing energy consumption, greenhouse gas emissions, resources recovery are additional requirements these facilities’ operation. AI could extend the purpose expected results previously adopted tools present operational approaches by leveraging superior simulation, prediction, control, adaptation capabilities. This paper reviews current wastewater field discusses achievements potentials. So far, almost all sector involve predictive studies, often at small scale or limited data use. Frontline aimed creation AI-supported digital twins real systems being conducted, few encouraging but still applications. aims identifying discussing key barriers adoption field, which include laborious instrumentation maintenance, lack expertise design software, instability control loops, insufficient incentives for resource efficiency achievement.
Language: Английский
Citations
2
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 58427 - 58453
Published: Jan. 1, 2024
This comprehensive review explores IoT innovations in water, wastewater management, and water quality monitoring, emphasizing the transformative potential of these technologies. Combining sociometric systematic (SR) techniques, study analyzes scientometric trends co-occurrence networks linked to topics. Research primarily centers on aspects, averaging 15 articles annually since 2017, peaking at 24 2021. The SR unveils widespread use multiple sensors particularly level, flow, pH sensors. Common wireless technologies are emphasized for their role advancing real-time monitoring. Innovative protocols such as Sigfox Zigbee enhance sensor-IoT connectivity, improving communication infrastructure management. challenges hindering system efficiency data flow include sensor accuracy, energy optimization, reliability, interdisciplinary collaboration, coverage. Addressing gaps is crucial IoT-driven systems enhancing decision-making. guides practitioners integrating automation sustainability
Language: Английский
Citations
14
Engineering, Journal Year: 2024, Volume and Issue: 36, P. 21 - 35
Published: May 1, 2024
The digital twins concept enhances modeling and simulation through the integration of real-time data feedback. This review elucidates foundational elements twins, covering their concept, entities, domains, key technologies. More specifically, we investigate transformative potential for wastewater treatment engineering sector. Our discussion highlights application to plants (WWTPs) sewage networks, hardware (i.e., facilities pipes, sensors water quality activated sludge, hydrodynamics, power consumption), software knowledge-based data-driven models, mechanistic hybrid control methods, Internet Things). Furthermore, two cases are provided, followed by an assessment current challenges in perspectives on WWTPs. serves as essential primer engineers navigating paradigm shift.
Language: Английский
Citations
14
Digital Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100217 - 100217
Published: Jan. 1, 2025
Language: Английский
Citations
1
Environmental Research, Journal Year: 2023, Volume and Issue: 238, P. 117147 - 117147
Published: Sept. 15, 2023
Language: Английский
Citations
22
Journal of Water Process Engineering, Journal Year: 2023, Volume and Issue: 53, P. 103715 - 103715
Published: April 11, 2023
Language: Английский
Citations
19
SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown
Published: Jan. 1, 2023
The escalating global demand for clean water mandates the development of inventive approaches to wastewater treatment systems. This paper investigates incorporation cutting-edge technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet Things (IoT), revolutionize elevate procedures. collaborative application these technologies presents a promising avenue optimizing efficiency, sustainability, overall performance within infrastructure. play pivotal roles in predictive modeling decision-making processes plants. These facilitate real-time monitoring quality parameters, enabling dynamic adjustments protocols based on data-driven insights. adaptive nature AI ML algorithms enhances system resilience, diminishes operational costs, ensures adherence rigorous environmental standards. integration Blockchain technology introduces decentralized secure framework managing data By capitalizing inherent transparency immutability blockchain, stakeholders can trace complete lifecycle treatment, from source discharge. not only promotes accountability but also nurtures trust among regulators, utilities, public, fostering more transparent sustainable management ecosystem. Moreover, contributes establishment connected responsive Sensor networks embedded throughout process enable collection, facilitating remote control. seamless communication between IoT devices prompt identification anomalies potential failures, allowing timely intervention averting hazards. research underscores emphasizes significance their address evolving challenges contribute future.
Language: Английский
Citations
16
Open Life Sciences, Journal Year: 2024, Volume and Issue: 19(1)
Published: Jan. 1, 2024
Abstract Bioelectrochemical biosensors offer a promising approach for real-time monitoring of industrial bioprocesses. Many bioelectrochemical do not require additional labelling reagents target molecules. This simplifies the process, reduces costs, and minimizes potential contamination risks. Advancements in materials science microfabrication technologies are paving way smaller, more portable biosensors. opens doors integration into existing bioprocessing equipment facilitates on-site, capabilities. Biosensors can be designed to detect specific heavy metals such as lead, mercury, or chromium wastewater. Early detection allows implementation appropriate removal techniques before they reach environment. Despite these challenges, significant leap forward wastewater monitoring. As research continues improve their robustness, selectivity, cost-effectiveness, have become cornerstone efficient sustainable treatment practices.
Language: Английский
Citations
4