Environmental Water Pollution Research Articles

Session IX:

Turning agricultural wastes into green adsorbents is a compatible and cost-effective strategy for solid waste disposal and environmental pollution control. Herein, the discarded orange peel (OP) sample was purified via coupled alkali-acid hydrolysis and the obtained adsorbents were applied for eliminating toxic cadmium (Cd(II)) from the liquid phase. Based on the single factor experiments, the optimal Cd(II)-capturing adsorbent (i.e., OP-OH-H-25) was generated under the purification condition of soaking raw OP in 2.0 M NaOH solution at 25 °C followed by an acid hydrolysis treatment with 2.5 M HCl solution at 25 °C. Spectral analyses reflected the efficient elution of hemicellulose/pectin and lignin impurities, the transformation of cellulose type I to cellulose type II, and the exposure of sulfhydryl functional groups. The kinetics removal process of Cd(II) by OP-OH-H-25 reached equilibrium after 0.5 h with a removal efficiency of ∼88%. The maximum Cd(II) sorption capacity of OP-OH-H-25 (i.e., 124.90 mg/g) was higher than a series of previously reported adsorbents. The sorption behavior of Cd(II) onto the prepared OP-OH-H-25 material was mostly interfered with by the coexisting Mg2+, Ca2+, and heavy metals. The desorption data and spectroscopic analysis jointly pointed to the inner-sphere binding of Cd(II) with OP-OH-H-25 functional groups. Overall, the extracted OP-OH-H-25 sample could act as a promising decontaminant for the remediation of Cd(II)-polluted water environment.

Single-atom copper embedded in two-dimensional MXene toward peroxymonosulfate activation to generate singlet oxygen with nearly 100% selectivity for enhanced Fenton-like reactions

Singlet oxygen (1O2)-dominated advanced oxidation processes has drawn widespread attention for selective oxidation of organic pollutants in complex water environments. However, the high efficiency and selectivity of 1O2 generation remains challenging. Herein, we develop single-atom copper anchored on Ti3C2Tx MXene nanosheets (Cu-SA/MXene) by molten salt etching for the generation of 1O2 via peroxymonosulfate (PMS) activation. Particularly, it exhibits a high selectivity of 99.71% toward 1O2 generation by activating PMS, which shows outstanding catalytic activity for multiple pollutants, and strong resistance to inorganic anions. Experimental and theoretical results reveal that the Cu single atoms with three oxygen coordination environments (Cu-O3) are more favorable for PMS absorption and selectively adsorb the terminal oxygen of PMS to promote the generation of SO5.-, resulting in the generation of 1O2. A continuous-flow wastewater system by dispersing catalysts on poly (vinylidene fluoride) membrane exhibit stable catalytic activity for polycarbonate plant wastewater treatment over 8 h.

Application of VMD-LSTM in Water Quality Prediction

Water is an indispensable prerequisite and essential factor for human life and social development. Change in water quality is closely related to water pollution. Water quality prediction is the basic work to control water environmental pollution. Therefore, the establishment of effective models is of great value to social economy, environmental protection and human health. This paper aims at the problem that the prediction error of relative maximum and relative minimum values of Long Short-Term Memory (LSTM) in dealing with time series is large, combined with the advantages of Variational Mode Decomposition(VMD) to extract signal fluctuation characteristics and reduce noise interference, Taking the Dissolved oxygen(DO) and the Total phosphorus(TP) as the main research objects, A combined model based on VMD-LSTM is proposed. The three indexes of Mean Absolute Error(MAE), Root Mean Square Error(RMSE) and Mean Absolute Percentage Error(MAPE) were used to judge. Experiments show that the VMD-LSTM model has improved all indicators compared with the LSTM model. DO prediction results respectively reduced by 38.8%, 41.4% and 44.4%, TP prediction results respectively reduced by 30.4%, 34.4% and 32.2%, the validity of the model is verified.

Enhanced charge separation and O2 activation over an anion-rich photocatalyst Ba3(BO3)(CO3)F for metronidazole removal in water

The wide occurrence of metronidazole (MNZ) in aquatic environment has aroused increasing concern to the potential adverse effects on human health. Combining different motifs into a photolytic material to achieve high photocatalytic efficiency is regarded as one of the main strategies during photocatalytic process. Herein, a triple anions contained photocatalyst, Ba3(BO3)(CO3)F (BBCF), exhibited excellent removal efficiency of MNZ (92.6%) in 15 min, which was 5.87 times higher than that of commercial P25. The excellent removal efficiency could be attributed to the strong electronegativity of the F−, and the π-conjugated triangles structure of (BO3)3− and (CO3)2−, which made BBCF facilitate the transport of photogenerated electrons, thus accelerating the accumulation of active h+. Meanwhile, the appropriate reduction potential of BBCF accounted for the outstanding productivity of O2–. h+ and O2– were proved as the dominant reactive species for MNZ degradation. The degradation products were analyzed by LC-TOF-MS, and the toxicity of the intermediate was evaluated to be lower than that of parent MNZ molecule. Moreover, BBCF showed the universal application of degrading oxytetracycline (OTC), methylene blue (MB). Therefore, anion-rich BBCF catalyst with high catalytic activity has a potential application prospect for degrading harmful pollutants in practical water environment.

Natural resources extractions and carbon neutrality: The role of geopolitical risk

This research paper examines the linkage between resource rents and environmental sustainability in China by utilizing oil and gas rents to capture resource rents. China's rapid economic growth and industrialization have led to severe environmental problems, including air and water pollution, deforestation, and loss of biodiversity. At the same time, China is rich in natural resources, particularly in oil and gas, which contribute significantly to its economy. The study aims to investigate whether there is a significant relationship between resource rents and environmental sustainability in China, and if so, to what extent. To achieve this aim, the study employs a quantile regression approach, using the data from 1988 to 2021. The study further examines the robustness of the results by conducting sensitivity analyses and addressing potential endogeneity issues. The findings indicate that oil and gas rentals have a positive long-term effect on CO2 emissions. Changes in gas rentals will have little effect on CO2E in the foreseeable future. Both the short-term and long-term factors imply that oil and gas rents harm China's environmental sustainability. Additionally, the geopolitical risk in China significantly adds to the lowering of CO2E. The policy implications of this study's findings for China's academic institutions and research are significant. The results of the study may contribute to the understanding of the relationship between resource rents and environmental sustainability in China, providing insights into the trade-offs and synergies between economic development and environmental protection. These findings have important policy implications for China, which is facing significant environmental challenges as it continues to develop its economy and exploit its natural resource endowments. Specifically, policymakers should consider implementing policies to diversify the energy mix away from oil and toward natural gas, promoting energy efficiency and reducing energy consumption, and reducing geopolitical risk to mitigate carbon emissions in China and other countries around the world.

Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities.

As an important part of smart cities, smart water environmental protection has become an important way to solve water environmental pollution problems. It is proposed in this article to develop a water quality remote sensing image analysis and prediction method based on the improved Pix2Pix (3D-GAN) model to overcome the problems associated with water environment prediction of smart cities based on remote sensing image data having low accuracy in predicting image information, as well as being difficult to train. Firstly, due to inversion differences and weather conditions, water quality remote sensing images are not perfect, which leads to the creation of time series data that cannot be used directly in prediction modeling. Therefore, a method for preprocessing time series of remote sensing images has been proposed in this article. The original remote sensing image was unified by pixel substitution, the image was repaired by spatial weight matrix, and the time series data was supplemented by linear interpolation. Secondly, in order to enhance the ability of the prediction model to process spatial-temporal data and improve the prediction accuracy of remote sensing images, the convolutional gated recurrent unit network is concatenated with the U-net network as the generator of the improved Pix2Pix model. At the same time, the channel attention mechanism is introduced into the convolutional gated recurrent unit network to enhance the ability of extracting image time series information, and the residual structure is introduced into the downsampling of the U-net network to avoid gradient explosion or disappearance. After that, the remote sensing images of historical moments are superimposed on the channels as labels and sent to the discriminator for adversarial training. The improved Pix2Pix model no longer translates images, but can predict two dimensions of space and one dimension of time, so it is actually a 3D-GAN model. Third, remote sensing image inversion data of chlorophyll-a concentrations in the Taihu Lake basin are used to verify and predict the water environment at future moments. The results show that the mean value of structural similarity, peak signal-to-noise ratio, cosine similarity, and mutual information between the predicted value of the proposed method and the real remote sensing image is higher than that of existing methods, which indicates that the proposed method is effective in predicting water environment of smart cities.

A microwave-induced plasma jet for efficient degradation of methomyl in aqueous solution.

As a typical carbamate pesticide, methomyl was once widely used in agriculture for its excellent broad-spectrum insecticidal effect. However, due to its high toxicity, long half-life, and difficult degradation properties, it poses a serious challenge to water environment pollution. In this study, an electrode-free discharge microwave-induced plasma technology was used to rapidly and efficiently degrade methomyl in aqueous solution. In this experiment, the statistical design of experiments (DOE) was adopted to optimize the plasma degradation parameters. Under the optimized parameters (P = 140 W, D = 0mm, R = 0.5 L/min), 78.4% removal of 50mg/L of methomyl was achieved after 8min. The optical emission spectrometry and free radical detection experiments showed that the active substances generated by the collision reaction between plasma and water molecules occurring at the gas-liquid interface were the key factors to exert the degradation effect. The degradation rate of methomyl decreased by 73.2% after the addition of tert-butanol (OH burster), while it decreased by only about 12.0% after the addition of peroxidase. These implied that ∙OH was largely responsible for methomyl degradation. In addition, based on the detected intermediates, possible degradation mechanisms and pathways were analyzed.

A Floating Integrated Solar Micro‐Evaporator for Self‐Cleaning Desalination and Organic Degradation

AbstractSafe and clean freshwater harvesting from (organic‐containing) saline or wastewater holds great potential for mitigating water scarcity and pollution, but remains challenging. Herein, a floating photothermal/catalytic‐integrated interfacial micro‐evaporator (g‐C3N4@PANI/PS) is reported as a proof‐of‐concept multifunctional scavenger evaporator system (MSES) to achieve both solar‐driven complete desalination and organic degradation. The spherical porous lightweight polystyrene core, incorporated with a black surface functional layer (g‐C3N4@PANI), enables the hybrid micro‐evaporator to naturally float and thereby collectively self‐assemble under surface tension for interfacial evaporation, which achieves preeminent self‐cleaning for complete salt/solute separation and efficient organic photodegradation under rotation. Remarkably, the floating micro‐evaporator achieves a high solar‐vapor conversion efficiency of ≈90% with high interfacial energy localization and provides abundant active photocatalytic sites on the interface, which is further enhanced by interfacial photothermal cooperation. High photo‐driven degradation efficiencies of 99% for nonvolatile organic compounds (non‐VOC) bisphenol A and 95% for VOC phenol in wastewater are achieved. An outdoor comprehensive solar water treatment test toward organic‐containing high‐salinity sewage verifies the feasibility of MSES for sustainable freshwater harvesting (1.3 kg m−2 h−1), downstream salt recovery, and organic degradation. This strategy may inspire an integrated solution of water scarcity, clean energy, and environmental pollution toward carbon neutrality.

Analysis and research on the characteristics of pollutants discharged from the separate storm pump station

The separate storm pump station can reduce the overflow pollution in rainy days and reduce the impact on the water environment. However, before or after rainfall, the impact of the discharge of diversion rainwater pump station on the water environment is still prominent, which has become one of the important reasons restricting the improvement of water environment pollution. This paper investigates the diversion rainwater pump stations in Shanghai, analyzes the discharge flow and pollution law of the diversion rainwater pump stations according to the operation data, and studies the characteristics, causes and effects of discharge pollution. Therefore, to provide support for the pollutant discharge control of the diversion rainwater pump station.

Analysis of the impact of lake environmental water pollution on the health of outdoor swimmers based on STIRPAT environmental impact assessment model

With the continuous development of China's economy, outdoor swimming has become an indispensable sport for Chinese people thereupon. However, the pollution of the outdoor water environment is capable of directly affecting the physical health of outdoor swimming lovers. Given the above, this paper uses the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to analyze the environmental water pollution of lakes and study the influencing factors and degree of physical health of outdoor swimming crowds. Moreover, this paper also identifies the causes of water pollution in two respects, namely water pollution and human pollution and analyzes from the perspectives of water quality monitoring environment survey and questionnaire survey. The results show that the primary factors affecting water quality contain weather, swimming crowd density and environmental pollution around water areas, lake waters have direct and indirect effects on human health, and the incidence of eye inflammation, itchy skin, stuffy nose, sore throat, stomachache, nausea, earache, diarrhea, fever and vomiting are 36.4%, 30.3%, 29.5%, 26.5%, 21.2%, 20.1%, 20.1%, 17.0%, 14.8% and 12.9% respectively.

Photo-transformation of acetaminophen sensitized by fluoroquinolones in the presence of bromide

Fluoroquinolones (FQs) are a class of antibiotics with emerging concern. This study investigated the photochemical properties of two representative FQs, i.e., norfloxacin (NORF) and ofloxacin (OFLO). Results showed that both FQs could sensitize the photo-transformation of acetaminophen under UV-A irradiation, during which excited triplet state (3FQ*) was the main active species. In the presence of 3 mM Br‾, the photolysis rate of acetaminophen increased by 56.3% and 113.5% in the solutions with 10 μM NORF and OFLO, respectively. Such an effect was ascribed to the generation of reactive bromine species (RBS), which was verified by 3,5-dimethyl-1H-pyrazole (DMPZ) probing approach. 3FQ* reacts with acetaminophen through one-electron transfer, producing radical intermediates which then couple to each other. Presence of Br‾ did not lead to the formation of brominated products but the same coupling products, which suggests that radical bromine species, rather than free bromine, were responsible for the accelerated acetaminophen transformation. According to the identified reaction products and assisted with the theoretical computation, the transformation pathways of acetaminophen under UV-A irradiation were proposed. The results reported herein suggest that sunlight-driven reactions of FQs and Br‾ may influence the transformation of coexisting pollutants in surface water environments.

Comparison of Optimal Machine Learning Algorithms for Early Detection of Unknown Hazardous Chemicals in Rivers Using Sensor Monitoring Data.

Water environment pollution due to chemical spills occurs constantly worldwide. When a chemical accident occurs, a quick initial response is most important. In previous studies, samples collected from chemical accident sites were subjected to laboratory-based precise analysis or predictive research through modeling. These results can be used to formulate appropriate responses in the event of chemical accidents; however, there are limitations to this process. For the initial response, it is important to quickly acquire information on chemicals leaked from the site. In this study, pH and electrical conductivity (EC), which are easy to measure in the field, were applied. In addition, 13 chemical substances were selected, and pH and EC data for each were established according to concentration change. The obtained data were applied to machine learning algorithms, including decision trees, random forests, gradient boosting, and XGBoost (XGB), to determine the chemical substances present. Through performance evaluation, the boosting method was found to be sufficient, and XGB was the most suitable algorithm for chemical substance detection.

Deep learning method for minimizing water pollution and air pollution in urban environment

Rapid urbanization impacts water quality because contaminants from the urban environment accumulate in the water and pollute it and because there is more rivalry for water among municipalities, businesses, and other sectors such as farming. A change in the microclimate, fluid mechanics, geomorphic, ecological, or biogeochemical conditions will impact the water's quantity and quality. There is a reduction in the groundwater because of the difficulty that water has soaked into the earth as more roads are built. When the rain washes over impervious buildings like roadways and roofs, it leaves excessive pollution in water bodies. Both people and aquatic life may be at risk from the increased water pollution. This paper uses deep learning methods such as Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM) to classify water quality. Next, it identifies the air quality in Urban Development (Conv. LSTM). The convolutional LSTMs use convolutional layers and the recurrent connections found in LSTMs. This allows the model to capture spatial dependencies in the input data in addition to the temporal dependencies captured by the recurrent connections. We also use thorough exploratory analysis to investigate the various beach habitats and the kinds of trash discovered in multiple places. Lowering water pollution and raising air quality are both strategies that can be employed to ensure sustainable urban development. The performance metrics such as accuracy, recall, precision, and F1-score are evaluated and classify the water pollution efficiently. In the water pollution dataset, the algorithms of RNN 65%, DBN 78%, LSTM 82%, and the proposed work of Conv.LSTM 92%. Similarly, for the air pollution dataset, the algorithms of RNN 60%, DBN 75%, LSTM 80%, and the proposed work of Conv.LSTM 91%.

Who will save the world? –from the missing hero to the index of Captain Planet

Captain Planet is a superhero, who is the main character of the animated series having the same title. The focus is on environmental protection and diverse social problems; the only weak point of the Captain is polluted environment which noticeably weakens him. Each episode of the animated series deals with environmental issues like deforestation, air or water pollution, overpopulation.
 Large-scale youth research has been conducted in Hungary every four year since 2000. The representative sample on age, gender, education, type of settlement, place of residence (district / city) among 15-29 year olds are used to learn about the life situation of young people, to follow their lifestyle changes and (in theory) to prepare (typically public policy) decision-making. The most important events and specific problems of Hungarian youngsters aged 15-29. 8000 youngsters were examined in 2020 as well, 
 We use the data of wave the 2020 large scale Hungarian Youth Research for mapping the „Hungarian Captain Planet”. We found, that H. Captain Planet does not belong to climate-fighter Generation Z, but youngsters aged 25-29 who are highly educated, who have a stable financial situation, who are not inactive, that is they either study or work (one third of youngsters belong to this group (32%)). It may be a commonplace, however, it was managed to prove this commonplace scientifically.

Homemade BIOPLASTICS (Biodegradable Plastic From Cassava Peel Waste) with Analysis of the Effect of Glycerol and Cellulose Ratio on Tensile Strength, Elongation, and Thickness

The massive use of plastic as food and non-food packaging does not cause a few problems. The accumulation of plastic waste can cause environmental pollution, both water and soil pollution, because plastic will be damaged and decomposed within 300 to 500 years. For this reason, environmentally friendly plastics are needed for conventional plastics which of course have characteristics that are not far inferior to conventional plastics such as flexible, lightweight, not easy to break, waterproof, not corrosive. Bioplastic is a type of plastic that can be degraded so it is not harmful to the environment. This paper aims to see the effect of the ratio of glycerol and cellulose on tensile strength, elongation, and thickness of bioplastics using cassava peel waste. This research uses cassava peel as the basic material for making starch which is then given a mixture of glycerol and cellulose to be used as bioplastics. Tensile strength and elongation tests were carried out using the zwick/roell Universal Testing Machine (UTM). While the thickness uses Mitutoyo's Thickness Gauge. The results obtained are thin plastic sheets made using 5 grams of starch with a mixture of cellulose (0.4; 0.6; 0.8) grams and glycerol (100%, 150%, 200%) ml which have been tested for mechanical properties. The best mechanical properties of the tensile strength of bioplastics were indicated by the sample coded C2G2 with a concentration of 1.5 ml of glycerol and 0.8 gram of cellulose with an average tensile strength of 7.4808 (N/mm2), while the highest elongation was shown in the sample coded C3G3. with a concentration of 2.0 ml of glycerol and 0.8 grams of cellulose with an average sample elongation value of 6.2448%, while the highest thickness determined in the sample coded C2G2, a concentration of 1.5 ml of glycerol and 0.6 grams of cellulose with a value of the average thickness is 269,066 (µm).

Development of polypropylene membranes grafted with nanocellulose to analyze organic pollutants in environmental waters using miniaturized passive samplers based on liquid-phase microextraction

Reinforcing hollow polypropylene fibers with nanocellulose is a viable alternative for implementing miniaturized passive sampling devices (MPSDs) based on liquid-phase microextraction (LPME). This modification improves the extractive properties of microporous membranes, including the sensitivity to fluctuations in the uptake steps. The new material, polypropylene hollow fiber grafted with nanocellulose, was developed and characterized using X-Ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM) coupled with Energy Dispersive System (EDS) and Thermogravimetric (TGA) and Differential Thermal (DTA) analysis. The morphology type of the crystallite of cellulose most abundant after chemical regeneration was the CII (Celulose II) allomorphic. Sorption studies were carried out and revealed that the modified membrane could absorb 177% more water than its untreated commercial counterpart, making it suitable for long-term sampling. Miniaturized passive sampling devices were equipped with the new material, and the devices were deployed in situ for passive sampling of organic pollutants in environmental waters of marginal lagoons. Fingerprint analysis of samples was performed by comprehensive two-dimensional gas chromatography coupled with mass spectrometry and identified a variety of pollutants such as pesticides, plasticizers and prescription and illegal drugs and their metabolites. Therefore, these MPSDs can be employed for the sampling and long-term monitoring of water contaminants with a wide range of polarities.

Assessment of Bango River Water Quality on Different Land Uses

River pollution in Indonesia is one of the biggest problems and tends to increase perpendicular to the rapidly developing population and human activities. As stated in Sustainable Development Goals (SDGs) number 6, clean water and sanitation are also becoming an international priority of sustainability. Therefore, understanding the interaction pattern between pollution and various human activities around the site can be a consideration for water environmental pollution mitigation policies. This study assesses the water quality of the Bango River segment, as a typical "urban river". The results indicated that the Bango River water quality was classified as "Slightly Polluted" (i.e., with a Pollution Index = 1.3802; Storet = -4). Urban and agricultural activities are significantly related to pH and ORP parameters in the Bango River (Pearson correlation p-value>0.05). These findings can become a reference for future appropriate mitigation policies to maintain water quality and minimize the negative impacts of human activities on river ecosystems.

Regional distribution of the plastic additive tris(butoxyethyl) phosphate in Nanyang Lake estuary, China, and toxic effects on Cyprinus carpio.

There is increasing concern regarding the toxicological effects of plastic additives on humans and aquatic organisms. This study investigated effects of the plastic additive tris(butoxyethyl) phosphate (TBEP) on Cyprinus carpio by measuring concentration distribution of TBEP in the Nanyang Lake estuary, as well as toxic effects of varying doses of TBEP exposure on carp liver. This also included measuring responses of superoxide dismutase (SOD), malondialdehyde (MDA), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and cysteinyl aspartate-specific protease (caspase). Concentrations of TBEP in the polluted water environment (water company inlets, urban sewage pipes, etc.) in the survey area were as high as 76.17-3875.29μg/L, and 3.12μg/L in the river flowing through the urban area, and 1.18μg/L in the estuary of the lake. In the subacute toxicity test, SOD activity in liver tissue with an increase in TBEP concentration was reduced significantly, while the MDA content continued to increase with an increase in TBEP concentration. Inflammatory response factors (TNF-α and IL-1β) and apoptotic proteins (caspase-3 and caspase-9) gradually increased with increasing concentrations of TBEP. Additionally, reduced organelles, increased lipid droplets, swelling of mitochondria, and disorder of mitochondrial cristae structure were observed in liver cells of TBEP-treated carp. Generally, TBEP exposure induced severe oxidative stress in carp liver tissue, resulting in release of inflammatory factors and inflammatory response, mitochondrial structure changes, and the expression of apoptotic proteins. These findings benefit our understanding about the toxicological effects of TBEP in aquatic pollution.

Vertical Greenery Systems: A Review of Factors Influencing Their Thermal Performance

Urbanization and rapidly growing population change cities' features andconvert them to concrete jungles with more buildings and fewer green areas. Thisbad conversion cause number of aesthetic, economical, and environmental issueslike air and water pollution, higher energy consumption, increasing airtemperature which lead to discomfort in outdoor and indoor environments.Vertical greenery systems (VGSs) stand as one of the green infrastructure featuresused to indemnify the lack of horizontal greenery and enhance the building envelopinteraction towards the internal and external environment.Vertical greenery systems are living and dynamic component. Manystudies have been conducted to recoginse how vertical greenery systems work andwhat affect their thermal performance. This paper aims to provide a deepunderstanding of different factors that affect the impact of this vegetated wall.These factors fall into two main categories: building-related factors and greeneryrelated factors. Comprehensive review of the variables influencing VGSperformance will lead to better design decisions for VGS elements and willimprove utilization potentials.

Construction of Bouquet-like Bi2Se3/Bi2O3@Bi Composites with High Interfacial Charge Separation for the Degradation of Atrazine.

Using low-density solar energy in the environment and converting it into chemical energy that can drive the degradation of organic pollutants is considered to be a very promising strategy for solving the problem of environmental pollution. The efficacy of photocatalytic destruction of organic contaminants is nonetheless constrained by the high composite rate of photogenic carriers, insufficient light absorption and utilization impact, and sluggish charge transfer rate. In this work, we created a new type of heterojunction photocatalyst with a spherical Bi2Se3/Bi2O3@Bi core-shell structure and investigated its degrading properties of organic pollutants in the environment. Interestingly, benefiting from the fast electron transfer capability of the Bi0 electron bridge, the charge separation and transfer efficiency between Bi2Se3 and Bi2O3 is greatly improved. In this photocatalyst, Bi2Se3 not only has a photothermal effect to speed up the process of photocatalytic reaction, but also has fast electrical conductivity of topological materials at the surface, which speeds up the transmission efficiency of photogenic carriers. As expected, the removal performance of the Bi2Se3/Bi2O3@Bi photocatalyst to atrazine is 4.2 and 5.7 times higher than that of the original Bi2Se3 and Bi2O3. Meanwhile, the best samples Bi2Se3/Bi2O3@Bi showed 98.7%, 97.8%, 69.4%, 90.6%, 91.2%, 77.2%, 97.7%, and 98.9% removal of ATZ, 2,4-DCP, SMZ, KP, CIP, CBZ, OTC-HCl, and RhB, and 56.8%, 59.1%, 34.6%, 34.5%, 37.1%, 73.9%, and 78.4% mineralization. Through characterization such as XPS and electrochemical workstations, it is proved that the photocatalytic properties of Bi2Se3/Bi2O3@Bi catalysts are far superior to other materials, and a suitable photocatalytic mechanism is proposed. A novel form of bismuth-based compound photocatalyst is anticipated to be produced as a result of this research in order to address the increasingly critical problem of environmental water pollution in addition to presenting fresh avenues for the creation of adaptable nanomaterials for additional environmental applications.