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  1. Book: Multi-scale ecological indicators for supporting sustainable watershed management

    Cai, Yanpeng

    special issue

    (Ecological indicators ; volume 92 (September 2018))

    2018  

    Author's details guest editors: Yanpeng Cai and Zhang Li
    Series title Ecological indicators ; volume 92 (September 2018)
    Collection
    Language English
    Size 401 Seiten, Illustrationen, Diagramme, Karten
    Publisher Elsevier
    Publishing place Amsterdam
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT019794764
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Shelf markLoan statusLocation
    Z 7436 (92) available for loan (reading room) Freihandmagazin (U1)

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  2. Article ; Online: The complete mitochondrial genome of a rove beetle,

    Cai, Yanpeng

    Mitochondrial DNA. Part B, Resources

    2021  Volume 6, Issue 10, Page(s) 2810–2811

    Abstract: The complete mitogenome of rove ... ...

    Abstract The complete mitogenome of rove beetle
    Language English
    Publishing date 2021-09-02
    Publishing country England
    Document type Journal Article
    ISSN 2380-2359
    ISSN (online) 2380-2359
    DOI 10.1080/23802359.2021.1970648
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The complete mitochondrial genome of

    Cai, Yanpeng

    Mitochondrial DNA. Part B, Resources

    2021  Volume 6, Issue 7, Page(s) 1994–1996

    Abstract: The complete mitochondrial genome ... ...

    Abstract The complete mitochondrial genome of
    Language English
    Publishing date 2021-06-14
    Publishing country England
    Document type Journal Article
    ISSN 2380-2359
    ISSN (online) 2380-2359
    DOI 10.1080/23802359.2021.1938726
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The complete mitochondrial genome of Chibiraga houshuaii (Lepidoptera, Limacodidae) and its phylogenetic implications.

    Cai, Yanpeng / Yin, Aihui

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 7009

    Abstract: Chibiraga is a mall East Asian genus in the family Limacodidae (slug-moths). The latter includes many agricultural pests. Mitochondrial genome analysis is an important tool for studying insect molecular identification and phylogenetics. However, there ... ...

    Abstract Chibiraga is a mall East Asian genus in the family Limacodidae (slug-moths). The latter includes many agricultural pests. Mitochondrial genome analysis is an important tool for studying insect molecular identification and phylogenetics. However, there are very few mitogenome sequences available for Limacodidae species, and none for the genus Chibiraga at all. To explore the mitogenome features of Chibiraga and verify its phylogenetic position, the complete mitogenome of Chibiraga houshuaii was sequenced and annotated. The complete 15,487 bp genome encoded 37 mitochondrial genes, including 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, two ribosomal RNA (rRNA) genes, and a control region (CR). Most of the PCGs had typical ATN start codons and terminated with TAA or a single T residue. UUA (Leu2), AUU (Ile), UUU (Phe), AUA (Met) and AAU (Asn) were the five most frequently used codons. All tRNAs were folded into cloverleaf secondary structure, except for trnS1, which lacked the DHU arm. Phylogenetic analyses within the superfamily Zygaenoidea were performed based on multiple datasets from mitochondrial genes. The results showed that the families Phaudidae, Limacodidae and Zygaenidae were respectively recovered as monophyly; C. houshuaii was clustered in a clade with nettle type larvae in Limacodidae.
    MeSH term(s) Humans ; Animals ; Lepidoptera/genetics ; Genome, Mitochondrial/genetics ; Phylogeny ; RNA, Ribosomal/genetics ; RNA, Ribosomal/chemistry ; Moths/genetics ; RNA, Transfer/genetics ; RNA, Transfer/chemistry
    Chemical Substances RNA, Ribosomal ; RNA, Transfer (9014-25-9)
    Language English
    Publishing date 2024-03-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57709-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Interplay of compound pollutants with microplastics transported in saturated porous media: Effect of co-existing graphene oxide and tetracycline.

    Zhou, Dan / Cai, Yanpeng / Yang, Zhifeng / Wan, Hang

    Journal of contaminant hydrology

    2023  Volume 259, Page(s) 104255

    Abstract: Co-existence of microplastics, nanomaterials, and antibiotics may lead to intensified multifaceted pollution, which may influence their fate in soils. This study investigated the co-transport behavior of polystyrene microplastics (PS) and compound ... ...

    Abstract Co-existence of microplastics, nanomaterials, and antibiotics may lead to intensified multifaceted pollution, which may influence their fate in soils. This study investigated the co-transport behavior of polystyrene microplastics (PS) and compound pollutants of graphene oxide (GO) and tetracycline (TC). Packed column experiments for microplastic with or without combined pollutants were performed in KCl (10 and 30 mM) and CaCl
    MeSH term(s) Microplastics ; Plastics ; Graphite ; Porosity ; Environmental Pollutants ; Sand ; Tetracycline ; Anti-Bacterial Agents
    Chemical Substances Microplastics ; Plastics ; graphene oxide ; Graphite (7782-42-5) ; Environmental Pollutants ; Sand ; Tetracycline (F8VB5M810T) ; Anti-Bacterial Agents
    Language English
    Publishing date 2023-10-09
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1494766-3
    ISSN 1873-6009 ; 0169-7722
    ISSN (online) 1873-6009
    ISSN 0169-7722
    DOI 10.1016/j.jconhyd.2023.104255
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The complete mitochondrial genome of a burying beetle,

    Cai, Yanpeng / Li, Xiaoyan

    Mitochondrial DNA. Part B, Resources

    2021  Volume 6, Issue 6, Page(s) 1727–1728

    Abstract: The complete mitochondrial genome of burying ... ...

    Abstract The complete mitochondrial genome of burying beetle
    Language English
    Publishing date 2021-05-24
    Publishing country England
    Document type Journal Article
    ISSN 2380-2359
    ISSN (online) 2380-2359
    DOI 10.1080/23802359.2021.1930220
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: A simulation-optimization approach for supporting conservative water allocation under uncertainties: A case study of Yalong River Basin, China

    Cai, Yanpeng / Zhang, Yi / Li, Tong / Zhang, Xiaodong

    Journal of environmental management. 2022 Apr. 11,

    2022  

    Abstract: In this paper, a hybrid method integrated unbiased grey model (UGM) and artificial neural network (ANN) into an interval two-stage fuzzy credibility-constrained programming (ITFCP) framework is proposed for water resources allocation of the Yalong River ... ...

    Abstract In this paper, a hybrid method integrated unbiased grey model (UGM) and artificial neural network (ANN) into an interval two-stage fuzzy credibility-constrained programming (ITFCP) framework is proposed for water resources allocation of the Yalong River research area. Through the grey correlation analysis and the eXtreme Gradient Boosting (XGboost) algorithm, the economic and social indicators are related to the water demands of different water sectors in different regions can be obtained for building water demand prediction model. According to the unbiased grey prediction of the socio-economic development data of each region in the Yalong River Basin (YRB), water demand prediction models are constructed by using neural network. The establishment of a hybrid two-stage interval fuzzy credibility-constrained programming model can analyze the uncertainties existing in the process of water resources allocation. Taking 2020, 2025, and 2030 as the planning years, the developed model studies and reveals the system benefits at different credibility levels, the water shortage of each user in sub-regions and the water resources allocation situation to provide suggestion for managers to optimize the allocation of water resources. Compared to the previous methods, this integrated model can help decision-makers set management policies more sustainably and profitably.
    Keywords algorithms ; case studies ; decision making ; environmental management ; neural networks ; prediction ; rivers ; socioeconomic development ; water allocation ; water shortages ; watersheds
    Language English
    Dates of publication 2022-0411
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2022.115073
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 7556: Show issues

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  8. Article: Key factors controlling transport of micro- and nanoplastic in porous media and its effect on coexisting pollutants

    Zhou, Dan / Cai, Yanpeng / Yang, Zhifeng

    Environmental pollution. 2022 Jan. 15, v. 293

    2022  

    Abstract: Environmental behavior of micro- and nanoplastics (M&NPs) pollution is an emerging topic in environmental research. The strong adsorption capacities of microplastics and nanoplastics to other substances is a concern. As a carrier, M&NPs probably transfer ...

    Abstract Environmental behavior of micro- and nanoplastics (M&NPs) pollution is an emerging topic in environmental research. The strong adsorption capacities of microplastics and nanoplastics to other substances is a concern. As a carrier, M&NPs probably transfer certain hazardous pollutants over long distance and pose risks to ecosystem and human health. Therefore, understanding the interaction and cotransport of M&NPs with coexisting pollutants is designed and becomes popular for many researchers. This paper introduced the carrier function of M&NPs firstly. Then literature on cotransport of M&NPs with potential coexisting contaminants has been reviewed and discussed. Interacting with micro and nanoplastics, the transport of coexisting matter may be facilitated or inhibited. In reverse, transport and deposition of M&NPs influenced by changed external environment and properties of plastics particles. Finally, limitations of existing studies on cotransport of M&NPs in porous media and directions for future studies were given. This review could serve as a useful reference for predicting the transport of microplastics and coexisting pollutants in natural porous media.
    Keywords adsorption ; ecosystems ; human health ; nanoplastics ; pollution
    Language English
    Dates of publication 2022-0115
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 280652-6
    ISSN 1873-6424 ; 0013-9327 ; 0269-7491
    ISSN (online) 1873-6424
    ISSN 0013-9327 ; 0269-7491
    DOI 10.1016/j.envpol.2021.118503
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  9. Article: Assessing uncertainty propagation in hybrid models for daily streamflow simulation based on arbitrary polynomial chaos expansion

    Zhou, Pengxiao / Li, Congcong / Li, Zhong / Cai, Yanpeng

    Advances in water resources. 2022 Feb., v. 160

    2022  

    Abstract: Accurate streamflow prediction is of significant importance in watershed management and has been attracting a lot of research interest. Hybrid hydrological models that employ advantages of physically-based models (PBMs) and data-driven models (DDMs) ... ...

    Abstract Accurate streamflow prediction is of significant importance in watershed management and has been attracting a lot of research interest. Hybrid hydrological models that employ advantages of physically-based models (PBMs) and data-driven models (DDMs) emerge recently as reliable tools for analyzing hydrological processes. Both PBMs and DDMs have uncertain parameters that could affect the hybrid modeling results. Conventional computational algorithms that rely on repeated sampling, such as Monte Carlo Simulation (MCS), have been recognized as robust tools for assessing the propagation of parameter uncertainties. However, the efficiency of these computational algorithms can decrease exponentially as the number of parameters increases. Meanwhile, although parameter uncertainty of PBMs has been widely studied, that of DDMs in a hybrid modeling framework has not been well investigated. In this study, a hybrid model framework is proposed for streamflow prediction, and an effective arbitrary polynomial chaos expansion (aPCE) method is implemented to assess the propagation of DDM parameter uncertainty within the hybrid modeling framework. The hybrid hydrological model integrating fully-distributed MIKE SHE and four machine-learning techniques increases the coefficient of determination (R²) from 0.70 to 0.82 for two validation periods. The aPCE method generates highly similar probabilistic results as MCS and achieves a 90% efficiency enhancement in uncertainty assessment. The results prove that aPCE is an efficient alternative to MCS for assessing uncertainties of hyperparameters in hybrid models. This study helps improve the performance of the streamflow prediction and also provide an insight into the uncertainty propagation involved in the hybrid models.
    Keywords Monte Carlo method ; artificial intelligence ; hybrids ; hydrologic models ; parameter uncertainty ; prediction ; stream flow ; water ; watershed management
    Language English
    Dates of publication 2022-02
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2023320-6
    ISSN 1872-9657 ; 0309-1708
    ISSN (online) 1872-9657
    ISSN 0309-1708
    DOI 10.1016/j.advwatres.2021.104110
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  10. Article ; Online: Pathways for sustainable municipal energy systems transition: A case study of Tangshan, a resource-based city in China

    Li, Zeng / Cai, Yanpeng / Lin, Gang

    Journal of cleaner production. 2022 Jan. 01, v. 330 p.129835-

    2022  

    Abstract: Cities consume most of the global energy and account for approximately 75% of global CO₂ emissions. Moreover, resource-based cities tend to consume higher amounts of fossil fuel and produce higher carbon emissions than other cities, whereas there are ... ...

    Abstract Cities consume most of the global energy and account for approximately 75% of global CO₂ emissions. Moreover, resource-based cities tend to consume higher amounts of fossil fuel and produce higher carbon emissions than other cities, whereas there are still insufficiencies about energy carbon reduction in resource-based cities in developed urban agglomerations. Therefore, it is necessary to explore the energy planning of such cities to achieve carbon peaking and carbon neutrality, and this is crucial for achieving carbon neutrality in urban agglomerations. This study aims to apply a scenario-based analysis approach to a resource-based heavy industrial city in China, Tangshan, based on the Long-range Energy Alternative Planning model, to explore Tangshan's future energy consumption, generation, and associated carbon emissions from 2010 to 2050. The impacts of different energy policies are analyzed for the Tangshan energy system by considering four scenarios. Under each scenario, energy consumption increased steadily by 2050, but the growth rate is different. The business as usual scenario is the fastest, and the low-carbon scenario is the slowest. In the comprehensive and integrated low-carbon transition scenarios, CO₂ is expected to peak at 298.34 million tons (Mt) in 2028. The main industrial sectors of Tangshan with high output value, high energy consumption, and high carbon emissions include smelting and pressing of ferrous metals, petroleum processing and coking, raw chemical materials and chemical products, etc. Combining Tangshan's coal resource endowment, the development of renewable energy, and introducing advanced technology can effectively reduce carbon emissions and increase the diversity of energy supply. We analyzed the cost-benefit of the energy system and found that the implementation of carbon capture and storage technology could effectively reduce carbon emissions by 219.62 Mt and increased costs by 563.12 billion yuan. The research could provide a scientific basis for the medium and long-term energy sustainable transformation of resource-based cities, especially for resource-based cities in urban agglomerations.
    Keywords carbon ; carbon dioxide ; carbon sequestration ; case studies ; coal ; energy ; models ; petroleum ; storage technology ; China ; Resource-based city ; Energy planning ; Scenario analysis ; LEAP model ; Municipal energy system
    Language English
    Dates of publication 2022-0101
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ISSN 0959-6526
    DOI 10.1016/j.jclepro.2021.129835
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