Pollution Control Engineering Research Articles

Application of Kimi Intelligent Assistant in the Teaching of Water Pollution Control Engineering Course

With the rapid development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. This paper introduces the functional features of the Kimi Intelligent Assistant and elaborates on its application in the teaching of Water Pollution Control Engineering course from aspects such as assisting in lesson plan design, creating mind maps, answering questions, process design, exercise compilation, and extracurricular extended learning. Challenges and countermeasures of introducing Kimi Intelligent Assistant into the course teaching are analyzed from the perspectives of technology integration, teacher training, student acceptance, data security and privacy, cost, and curriculum content updates. The paper also provides a prospect for the further application of the Kimi Intelligent Assistant, suggesting that it is expected to become an important tool in promoting the technological development of future environmental engineering education.

Research on Teaching of Physical Pollution Control Engineering Based on Engineering Education Certification

Research on Teaching of Physical Pollution Control Engineering Based on Engineering Education Certification

The drive and passion of Faisal Khan to improve onshore and offshore process industries' safety levels

AbstractIn 1997, a number of articles were co‐authored and published in leading process safety journals (e.g., Journal of Loss Prevention in the Process Industries, Process Safety Progress, and Process Safety and Environmental Protection) by a young and enthusiastic scientist, Faisal Khan—motivated by a drive to improve the safety practices of the time after the 1984 Bhopal Disaster—and a well‐known Professor and Scientist from the Centre for Pollution Control and Environmental Engineering at Pondicherry University, Dr. Shahid Abbas Abbasi. It began a new horizon in the process safety domain, as this young scientist continued to excel in this field and shed light with numerous inventions and by training several hundreds of next‐generation safety professionals as a Professor at Memorial University of Newfoundland, University of Tasmania, and Texas A&M University. This article is written in honour of Dr. Faisal Khan. Capturing the fullness of Dr. Khan briefly is an arduous task; however, the authors of the current article have attempted to describe his personality, background, and contributions based on their professional interactions with him.

“Dual Carbon” Strategy Motivated Teaching Reform of Atmospheric Pollution Control Engineering

“Dual Carbon” Strategy Motivated Teaching Reform of Atmospheric Pollution Control Engineering

Research Progress of Biochar for Water Pollution Control

As an emerging carbon material, biochar has received great attention from scholars in recent years. This paper focuses on the application of three kinds of biochar in water pollution control engineering and their degree of control on organic matter and heavy metal pollution in water. The paper discusses sludge-based biochar, agricultural biomass matrix biochar, and clay mineral/biochar composites. The paper concludes that most biochar materials are at the experimental exploratory research stage and there is limited research on their commercial applications. The paper describes the mechanisms of how biochar can control organic and heavy metal pollution and discusses the advantages and limitations of biochar in controlling these two types of pollutants and the future direction of biochar. The aim of this paper is to help researchers understand the role of biochar in water pollution control engineering and to establish the relevant knowledge framework and logic more effectively. It is hoped that after reading this paper, readers will be able to explore and discover suitable biochar materials or biochar composites for water pollution control engineering.

Piezoelectricity activates persulfate for water treatment: A perspective

Advanced oxidation processes (AOPs) utilizing persulfate (PS) offer great potential for wastewater treatment. Yet, the dependency on energy and chemical-intensive activation techniques, such as ultraviolet radiation and transition metal ions, constrains their widespread adoption. Recognizing this limitation, researchers are turning towards the piezoelectric effect—a novel, energy-efficient method for PS activation that capitalizes on the innate piezoelectric characteristics of materials. Intriguingly, this method taps into weak renewable mechanical forces omnipresent in nature, ranging from wind, tides, water flow, sound, and atmospheric forces. In this perspective, we delve into the burgeoning realm of piezoelectric/PS-AOPs, elucidating its fundamental principles, the refinement of piezoelectric materials, potential mechanical force sources, and pertinent application contexts. This emerging technology harbors significant potential as a pivotal element in wastewater pretreatment and may spearhead innovations in future water pollution control engineering.

PbCl2 effects on the strength and permeability of plastic concrete cutoff walls

Plastic concrete walls are widely used in landfill and contaminated site pollution control engineering. Considering the prevalence of heavy metal lead ions contaminating the site, lead ions can affect the strength and permeability of plastic concrete walls. To this end, an experimental study on the effect of PbCl2 concentration on the strength, hydraulic conductivity and physico-chemical property indicators (pH and electrical conductivity) of plastic concrete walls composed of cement, bentonite, sand and PbCl2 solutions was carried out at different mix proportions and curing ages. The results show that the strength and pH of plastic concrete decrease with increasing PbCl2 concentration, and the hydraulic conductivity and electrical conductivity increases with increasing PbCl2 concentration at the same mix proportion and curing age. At the same PbCl2 concentration, the strength of plastic concrete increases with increasing plastic concrete cement content and curing age, and the hydraulic conductivity decreases with increasing plastic concrete cement content and curing age. Meanwhile, both pH and electrical conductivity decrease with increasing curing age, and both pH and electrical conductivity (σ) increase with increasing cement content. Consideration of pH and electrical conductivity (σ) can reflect the type of plastic concrete product and the degree of hydration reaction, which further reflects the degree of compactness and pore size of plastic concrete, thus affecting the strength and permeability of plastic concrete. Therefore, for plastic concrete with three cement contents, the strength of plastic concrete increases with increasing pH/σ, and the hydraulic conductivity decreases with increasing pH/σ at different PbCl2 concentrations and curing ages. In addition, pH/σ shows a good exponential function with plastic concrete strength and hydraulic conductivity.

Historical Trends and Driving Forces of River Water Quality Improvement in the Megacity Shenzhen, China

The water quality of urban rivers in China has undergone significant improvement since the 13th Five-Year Plan period (2016–2020). Among these, urban rivers in Shenzhen are the most representative. Assessing historical trends and analyzing the driving forces of river water quality improvement is of great importance and provides valuable insights. This study selects two typical watersheds, Maozhou River and Longgang River, to explore how water quality trends link with water control projects in Shenzhen from 2003 to 2020. The historical trends were evaluated using a recently developed index called WQI-DET, which considers DO, COD, NH3-N, TP, and anionic surfactants. Results showed that both rivers were seriously polluted before 2010 and gradually improved during the 12th Five-Year Plan period. After 2010, the water quality improved rapidly thanks to the environmental remediation of the mainstream, especially the interception project of Longgang River around 2010, and the Maozhou River interception project in 2015. The rainwater and sewage diversion renovation project mainly contributed to meeting the standards for Class IV water bodies during the 13th Five-Year Plan period. This study reveals the semi-quantitative link between comprehensive water quality improvement and pollution control engineering measures. It is a helpful review for Shenzhen and provides a useful reference for other cities.

Innovative Teaching Design and Exploration of Water Pollution Control Engineering Course based on the BOPPPS Model

The BOPPPS model is used to optimize the design of the teaching process in the classroom teaching of Water Pollution Control Engineering, in view of the problems of outdated knowledge system, low interaction between teachers and students, and disconnection between theory and practice. Based on connotation elaboration of the BOPPPS model, the application of the six teaching modules of "bridge-in, objective, pre-assessment, participatory-learning, post-assessment and summary" in the innovative teaching design of the Water Pollution Control Engineering course is explored, with a view to providing teachers with a more flexible and effective teaching method and students with a more interesting and efficient learning experience, as well as to providing useful reference for the innovative design of other related courses.

Contribution of wastewater treatment engineering measures in cities to reducing NH3–N export to sea from subarea and river network perspectives using ecological network analysis: A case study of Fuzhou, China

Evaluating the weight or contribution of effective wastewater treatment measures to the generation, discharge and degradation of water pollutants is hindered by a lack of systematic methods. Ecological network analysis is applied in this study to evaluate the contribution of sponge cities (SCs), wastewater treatment plants (WWTPs) and river pollution control facilities (RPCFs) to controlling NH3–N water pollution. Modeling the characteristics of river networks at the subarea scale and river network scale is proposed. Taking Fuzhou city, which is located in the coastal river network area in southern China, as the case city, the contribution of engineering measures to pollution control of NH3–N in the period of 2010–2020 and 2025 at subarea and river network scales is calculated, predicted and analyzed. The main results show that from a system perspective, (1) WWTPs have made the largest contribution among the three engineering measures, with maximum weights of 28.9% and 2.3% in the subarea and river network scales, respectively; (2) after 11 years of construction, the contribution of WWTPs has been significantly improved, with maximum increases of 13.4% and 1.6% in the subarea and river network scales, respectively; (3) the positive impact of SCs is mainly reflected in 2017 at two scales; and (4) by 2025, the roles of SCs and WWTPs will be further enhanced in all subareas at two scales. Focusing initially on the contribution of wastewater treatment engineering measures, this study provides a method from a system perspective rather than a terminal water quality perspective. This study also supports decision-makers in scientifically formulating the construction plan of water pollution control engineering measures to ensure a better future for all in China as well as in other regions of the world.

Course construction and practice of water pollution control engineering in the background of carbon neutralization

Today, with the rapid development of the world economy, we have also made great achievements in the process of building a green ecological civilization. However, in this process, resources and environmental issues have attracted more and more attention. In recent years, problems such as haze and water pollution often occur. The growth rate of GDP has always maintained at about 10%, while China's resource reserves are relatively small and the per capita share is low. With the growth of China's economy, society and population, and the improvement of people's awareness of environmental protection, green GDP has gradually become an important indicator to measure a country's scientific and technological progress and national strength. This paper discusses the content reform and teaching practice of the water pollution control engineering course of environmental engineering specialty under the background of carbon neutralization. New concepts and new processes of sewage treatment are introduced into the teaching, so that students can establish new concepts of sewage treatment process design, make students clear the development trend of the sewage treatment industry in the future, master the new technology of sewage treatment, broaden their industrial vision, and cultivate their innovative consciousness, To enable students to have enough competitiveness and development potential in graduation employment and future professional work.

研究生专业课程教学创新改革探索——以“大气污染控制原理与技术”为例

研究生专业课程教学创新改革探索——以“大气污染控制原理与技术”为例

Application of Virtual Simulation Technology in Theory and Experiment Teaching of Air Pollution Control Engineering

Virtual reality technology provides great convenience for humans to explore the macro and micro worlds due to its extremely realistic experience, and it will be seen in all walks of life in the future. This paper focuses on the analysis of the current situation of virtual simulation technology in the teaching application of air pollution control engineering theory teaching and experimental teaching, as well as the advantages and disadvantages of application. Furthermore, the development and prospect of virtual simulation technology in air pollution control engineering theory and experimental teaching are summarized. Keywords: virtual simulation technology, air pollution control engineering, theoretical teaching, experimental teaching DOI: 10.7176/JEP/13-29-08 Publication date: October 31 st 2022

Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence

Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence

Electron transfer channel in BiOBr/Bi2O3 heterojunction enhanced photocatalytic removal for fluoroquinolone antibiotics

Development of low-cost, nontoxic, highly efficient performance photocatalyst for water pollution control engineering is critical for environmental remediation. Herein, a three-dimensional polydopamine (PDA)/BiOBr/Bi2O3-450 microflowers is successfully constructed to realize high-flux charge transfer and efficient photocatalytic activity towards antibiotic degradation. The formation of C-O-Bi bonds within composites are well characterized by X-ray photoelectron spectroscopy (XPS) and In situ Fourier transform infrared (FTIR), which are employed as electron transfer channel to facilitate the extraction of photoelectrons from BiOBr to PDA. The presence of oxygen reduction reaction sites (i.e. pyridinic N and pyrrolic N) on PDA improves the photoelectron consumption and thus maximized the charge separation efficiency. On the other hand, the formation of BiOBr/Bi2O3 heterojunction is beneficial for the photoholes transfer from BiOBr to Bi2O3. As a result, the kinetic constant of norfloxacin degradation is 0.056 min−1 for PDA/BiOBr/Bi2O3-450, which is 2.54 times higher than that of pristine BiOBr. In addition, PDA/BiOBr/Bi2O3-450 exhibits the high reusability, retaining 91 % of the initial activity even after 5 repeated cycles or equivalent to 7.5 h of continuous irradiation. Briefly, this work throws light on enhancing photoelectron transfer and removal by interface control to dramatically improve the photocatalytic performance.

Analysing the Pollutants Dispersion in Erbil City-Kurdistan with Support of Statistical Analysis.

Analysing the Pollutants Dispersion in Erbil City-Kurdistan with Support of Statistical Analysis.

Impacts of Riparian Buffer Zone Type on Reduction in Runoff Pollution in the North Canal River Under Different Rainfall Events

The impact of non-point source pollution on the water quality of the North Canal River is becoming increasingly prominent. In this study, the riparian buffer zones (RBZ) of the Nansha River and Beisha River, the inlet tributaries of the Shahe Reservoir in the North Canal basin, were selected to investigate the purification effect of riparian buffer zones on runoff pollution during the rainfall process. Two RBZ types, Type I RBZ (levee-flood control retaining wall-woodland-grassland) and Type Ⅱ RBZ (levee-woodland-grassland), were classified by the distribution characteristics of RBZ structure and plant communities in the North Canal River basin. The north bank of the Nansha River (NB) and the south bank of the Beisha River (BN) are typical of Type I RBZ, with low total vegetation cover, "short and steep" slopes, and low herbaceous cover but high diversity. The south bank of the Nansha River (NN) is a typical representative of Type Ⅱ RBZ, with "long and slow" slopes and high herbaceous cover (29.16%) but low diversity. In order to investigate the impacts of rainfall characteristics and RBZ types on the runoff pollutant, a 1 km area in each of the three RBZs was selected to carry out the RBZ non-point source pollution prevention and control engineering trials. The results indicated that Type I RBZ required less time and rainfall to produce runoff and had a greater peak runoff. Type Ⅱ RBZ produced runoff only under heavy rainstorm conditions, with greater runoff retention capacity. Energy dissipation ponds with gravel as the main fillers were set up at the runoff inlets of the RBZ, which effectively reduced runoff pollution. ρ(NH4+-N) and ρ(NO3--N) in the runoff were below 1.6 mg·L-1; ρ(TN) was below 5 mg·L-1; and ρ(PO43-P), ρ(DTP), and ρ(TP) were below 1.0 mg·L-1. The grass ditch of the RBZs effectively reduced ρ(NH4+-N) of the runoff. The retention rate of SS and the reduction effect of pollutants in Type Ⅱ RBZ were better than those in Type I except under heavy rainstorm conditions, which is related to the different RBZ structures and vegetation cover. The correlation analysis results showed that slope length, slope gradient, vegetation cover, and rainfall characteristics were significantly correlated with runoff SS, COD, nitrogen, and phosphorus pollution.

Efficient photodegradation of cefixime catalyzed by a direct Z-scheme CQDs-BiOBr/CN composite: Performance, toxicity evaluation and photocatalytic mechanism

Development of low-cost, nontoxic, highly efficient performance photocatalyst for water pollution control engineering is critical for environmental remediation. In this contribution, a direct Z-scheme heterojunction based on C quantum dot (CQDs), bismuth oxybromide (BiOBr) and bulk graphitic carbon nitride (g-C3N4, CN) (CQDs-BiOBr/CN composite) with outstanding photocatalytic activity and good reusability is successfully fabricated though a hydrothermal procedure for cefixime antibiotic photodegradation. In particular, the CQDs-BiOBr/CN composite possess the best cefixime degradation effect, the degradation rate is about 92.82% within 120 min. The enhancement photocatalytic activity of CQDs-BiOBr/CN can be ascribed to the improved light-harvest ability, the excellent adsorption performance, the efficient charge transportation and separation capability. A possible degradation pathway of cefixime is proposed base on HPLC-MS. Toxicity experiments demonstrate that the antibiotic activity of cefixime is effectively deactivated after degradation process, and which is no toxic effect for Rye seeds in deionized water. The CQDs-BiOBr/CN also displays the excellent photoactivation activity towards Escherichia coli (E. coli). Reactive-species-trapping experiments show that hydroxyl radical (⋅OH) and superoxide radical (⋅O2−) are the active reactive species in the photodegradation process. The CQDs-BiOBr/CN composite demonstrate an effective potential practical application in antibiotic pollutants degradation from wastewater.

System Optimization of Reservoir Pollution Prevention and Control Engineering under Deep Learning

System Optimization of Reservoir Pollution Prevention and Control Engineering under Deep Learning

Simulation of Water Pollution Control Engineering Based on Support Vector Machine Model

Simulation of Water Pollution Control Engineering Based on Support Vector Machine Model