The construction of environmental-policy-enterprise knowledge graph based on PTA model and PSA model

Wang, Xinyue; Meng, Lingzhong; Wang, Xiaoting; Wang, Qian

doi:10.1016/j.rcradv.2021.200057

Cited by 5 publications

(3 citation statements)

References 16 publications

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“…Upon irradiation with near-ultraviolet light, these acids exhibit high response activity and enable the separation of electron-hole pairs, thereby promoting the degradation of organics through self-oxidation and hydroxyl radical generation [24]. Phosphotungstic acid (PTA), which is the most acidic heteropoly acid, demonstrates better photocatalytic effects than other metal heteropoly acids, has a low band gap (<3.0 eV), and exhibits visible-light responsiveness, thereby drawing significant attention from the research community [25,26]. However, the solubility of heteropoly acids in highly polar small-molecule solvents such as water and acetone renders their recovery and recycling complex, thereby hindering their practical applications in heterogeneous catalysis [27,28].…”

Section: Introductionmentioning

confidence: 99%

Ammonium phosphotungstate nanoparticle/ultrathin g-C₃N₄ composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Li¹,

Liu²,

et al. 2023

Mater. Res. Express

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Owing to their advantageous physical, chemical, electronic, and optical properties, two-dimensional (2D) materials are widely used as highly active visible-light photocatalysts. In this study, 3D/2D composite photocatalysts were prepared from ammonium phosphotungstate nanoparticles and 2D ultrathin graphitic carbon nitride by an impregnation method and were found to efficiently promote the photodegradation of rhodamine B and tetracycline in water under visible light irradiation. Photocatalytic degradation was maximum at a PW12NH4 loading of 20 wt% (UCN20), with photodegradation efficiencies of 93.40% and 69.6% for RhB and TC, respectively. The photocatalytic degradation rate using UCN20 was 5.8-fold higher for RhB and 2.2-fold higher for TC compared to those with UCN. This high performance is ascribed to the large specific surface areas and pore volumes of the composites and the reduced probability of photogenerated carrier recombination therein. The related degradation mechanism is believed to involve a Z-scheme charge transfer mode, which enhances the redox capability of composite photocatalysts and renders them suitable for the visible light-driven remediation of wastewater containing organic contaminants.

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Section: Introductionmentioning

confidence: 99%

Ammonium phosphotungstate nanoparticle/ultrathin g-C₃N₄ composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Li¹,

Liu²,

et al. 2023

Mater. Res. Express

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“…Previous studies utilizing knowledge graph in science generally relied on a single data source [17][18][19][20]. For example, Mrdjenovich and co-workers [21] have established a knowledge graph of materials science using Materials Project data, with a focus on the estimation of physical properties through a graphical representation of the relationships among different properties.…”

Section: Introductionmentioning

confidence: 99%

Semantic knowledge graph as a companion for catalyst recommendation

Zhang,

Ma,

Zheng

et al. 2024

NSO

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Our ability to perceive the correlation of different substances in the world is one of the key aspects of human intelligence. The passing of this faculty to artificial intelligence (AI) represents arguably one of the long-standing challenges in the application of AI to scientific problems. To meet this challenge in the burgeoning field of AI for chemistry, we may adopt the paradigm of knowledge graph. Herein, focusing on catalytic chemical reactions, we have developed a semantic knowledge graph framework based on both structured and unstructured data, the latter of which are extracted from the text of 220,000 articles on catalysts for organic molecules. The framework captures the latent knowledge of reactant-catalyst-product relationships and can therefore provide accurate recommendation on potential catalysts for targeted reaction, which especially facilitates the research involving large molecules. This study presents a viable pathway towards the implementation of literature-based data management in a catalyst recommendation platform.

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“…A KG describes concepts, entities, and their relationships in the objective world in a structured way to organize, manage, comprehend, and express information from different sources, resembling human cognition [19]. Currently, some well-known general KGs include DBpedia [20], Wikidata [21], Neo4j [22], etc., and the KGs in finance, healthcare, business, and other areas have corresponding industry applications [23,24]. Therefore, by combining the KG of ER with the help of KG theory, we can help to establish a unified framework for the assessment of ERs.…”

Section: Introductionmentioning

confidence: 99%

Eco-Environmental Risk Assessment and Its Precaution Partitions Based on a Knowledge Graph: A Case Study of Shenzhen City, China

Yang,

Zhu

2024

Sustainability

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The eco-environment is under constant pressure caused by the rapid pace of urbanization and changes in land use. Shenzhen is a typical “small-land-area, high-density” megalopolis facing various dilemmas and challenges; we must understand the eco-environmental risk (ER) of rapidly urbanizing regions and promote high-quality regional development. Therefore, with the help of the Python and Neo4j platforms, this study applies the theoretical foundation of knowledge graphs (KGs) and deep learning to form the KG of an ER; with this, we sort and establish an evaluation system in two dimensions, namely social and ecological, and introduce the Monte Carlo simulation to quantify the ER in Shenzhen City and its uncertainty from 2000 to 2020 to propose sub-regional programs and targeted measures for the prevention and control of the ER. The results are as follows: The eco-environmental risk index (ERI) of the study area as a whole showed a slight increase from 2000 to 2020; at the same time, the low-risk regions were mainly located in the east and southeast, while the high-risk regions were mainly located in the west–central and northwestern parts. In addition, three sample points (points A, B, and C) were selected using the Monte Carlo method to simulate the transfer of uncertainty from the indicator weights to the assessment results. Finally, based on the quantitative results, an accurate zoning scheme for ER prevention and control was provided to the decision makers, and appropriate countermeasures were proposed.

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The construction of environmental-policy-enterprise knowledge graph based on PTA model and PSA model

Cited by 5 publications

References 16 publications

Ammonium phosphotungstate nanoparticle/ultrathin g-C₃N₄ composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Ammonium phosphotungstate nanoparticle/ultrathin g-C₃N₄ composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Semantic knowledge graph as a companion for catalyst recommendation

Eco-Environmental Risk Assessment and Its Precaution Partitions Based on a Knowledge Graph: A Case Study of Shenzhen City, China

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The construction of environmental-policy-enterprise knowledge graph based on PTA model and PSA model

Cited by 5 publications

References 16 publications

Ammonium phosphotungstate nanoparticle/ultrathin g-C3N4 composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Ammonium phosphotungstate nanoparticle/ultrathin g-C3N4 composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Semantic knowledge graph as a companion for catalyst recommendation

Eco-Environmental Risk Assessment and Its Precaution Partitions Based on a Knowledge Graph: A Case Study of Shenzhen City, China

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Ammonium phosphotungstate nanoparticle/ultrathin g-C₃N₄ composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation

Ammonium phosphotungstate nanoparticle/ultrathin g-C₃N₄ composite photocatalysts with Z-scheme heterojunctions: preparation and application to organic contaminant degradation