IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13295-d943012.html
   My bibliography  Save this article

Multi-Phase Environmental Impact Assessment of Marine Ecological Restoration Project Based on DPSIR-Cloud Model

Author

Listed:
  • Junwu Wang

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    Hainan Research Institute of Wuhan University of Technology, Sanya 572025, China)

  • Yipeng Liu

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    Hainan Research Institute of Wuhan University of Technology, Sanya 572025, China)

  • Mingyang Liu

    (China Construction Third Engineering Bureau Group Co., Ltd., Wuhan 430040, China)

  • Suikuan Wang

    (China Construction Third Engineering Bureau Group Co., Ltd., Wuhan 430040, China)

  • Jiaji Zhang

    (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
    Hainan Research Institute of Wuhan University of Technology, Sanya 572025, China)

  • Han Wu

    (School of Engineering and Construction, Nanchang University, Nanchang 330031, China)

Abstract

In order to achieve a comprehensive evaluation of the environmental impact of ecological restoration projects (ERP) under the current destruction and restoration of coastal ecological areas, this paper takes into account the impact of positive and negative indicators on the environment; analyzes the positive and negative benefits of ERP; and establishes a comprehensive environmental impact index system for marine ERP from ecological, economic, and social perspectives through the DPSIR model. On this basis, the cloud model and Monte Carlo simulation are used to obtain the comprehensive assessment grade of the construction period, short-term operation, and long-term operation in the project life cycle. The results show that the benefits of ERP, considering the impact of negative factors, are significantly reduced, and the benefits of ERP will increase remarkably in the long-term operation period. In engineering practice, the environmental pressure factor caused by excessive human activities during construction and operation periods is a key negative factor affecting the overall benefits of ERP. For project decision makers and other stakeholders, the comprehensive assessment grade considering negative impacts is more practical. At the same time, decision makers should take active response measures in the framework of long-term sustainable development, set a tolerance threshold for negative pressure indicators, and strengthen the management of ERP.

Suggested Citation

  • Junwu Wang & Yipeng Liu & Mingyang Liu & Suikuan Wang & Jiaji Zhang & Han Wu, 2022. "Multi-Phase Environmental Impact Assessment of Marine Ecological Restoration Project Based on DPSIR-Cloud Model," IJERPH, MDPI, vol. 19(20), pages 1-22, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13295-:d:943012
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13295/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/20/13295/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng Guo & Junwu Wang & Denghui Liu & Yinghui Song, 2021. "Evolutionary Process of Promoting Construction Safety Education to Avoid Construction Safety Accidents in China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    2. Lewison, Rebecca L. & Rudd, Murray A. & Al-Hayek, Wissam & Baldwin, Claudia & Beger, Maria & Lieske, Scott N. & Jones, Christian & Satumanatpan, Suvaluck & Junchompoo, Chalatip & Hines, Ellen, 2016. "How the DPSIR framework can be used for structuring problems and facilitating empirical research in coastal systems," Environmental Science & Policy, Elsevier, vol. 56(C), pages 110-119.
    3. Faming Huang & Yanhong Lin & Rongrong Zhao & Xuan Qin & Qiuming Chen & Jie Lin, 2019. "Dissipation Theory-Based Ecological Protection and Restoration Scheme Construction for Reclamation Projects and Adjacent Marine Ecosystems," IJERPH, MDPI, vol. 16(21), pages 1-16, November.
    4. Wenqi Wang & Yuhong Sun & Jing Wu, 2018. "Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    5. Sanne Vammen Larsen, 2017. "The challenges of risk society for impact assessment," Journal of Risk Research, Taylor & Francis Journals, vol. 20(11), pages 1439-1449, November.
    6. Kan-Kan Wu & Luo-Ping Zhang, 2016. "Application of environmental risk assessment for strategic decision-making in coastal areas: case studies in China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(5), pages 826-842, May.
    7. Manfred Lenzen & Richard Wood & Thomas Wiedmann, 2010. "Uncertainty Analysis For Multi-Region Input-Output Models - A Case Study Of The Uk'S Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 43-63.
    8. Cai, Bofeng & Cui, Can & Zhang, Da & Cao, Libin & Wu, Pengcheng & Pang, Lingyun & Zhang, Jihong & Dai, Chunyan, 2019. "China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Phillips, Jason & Whiting, Kai, 2016. "A geocybernetic analysis of the principles of the Extractive Industries Transparency Initiative (EITI)," Resources Policy, Elsevier, vol. 49(C), pages 248-265.
    10. Do Thi Thu Huong & Nguyen Thi Thu Ha & Gia Khanh & Nguyen Thanh & Luc Hens, 2022. "Sustainability assessment of coastal ecosystems: DPSIR analysis for beaches at the Northeast Coast of Vietnam," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5032-5051, April.
    11. Mosaffaie, Jamal & Salehpour Jam, Amin & Tabatabaei, Mahmoud Reza & Kousari, Mahammad Reza, 2021. "Trend assessment of the watershed health based on DPSIR framework," Land Use Policy, Elsevier, vol. 100(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wan-Jiun Chen & Jihn-Fa Jan & Chih-Hsin Chung & Shyue-Cherng Liaw, 2023. "Do Eco-Based Adaptation Measures Enhance Ecosystem Adaptation Services? Economic Evidence from a Study of Hillside Forests in a Fragile Watershed in Northeastern Taiwan," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    2. Wei Yang & Mengge Xue & Yaping Wang & Tao Long & Sha Deng & Bo Deng & Nan Fang, 2023. "Evaluation of Enterprise Green Mine Construction Based on DPSIR Model," IJERPH, MDPI, vol. 20(6), pages 1-16, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ebrahim Karimi Sangchini & Amin Salehpour Jam & Jamal Mosaffaie, 2022. "Flood risk management in Khorramabad watershed using the DPSIR framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3101-3121, December.
    2. Anne de Bortoli & Maxime Agez, 2023. "Environmentally-Extended Input-Output analyses efficiently sketch large-scale environmental transition plans -- illustration by Canada's road industry," Papers 2301.08302, arXiv.org.
    3. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    4. Sun, Lu & Liu, Wenjing & Li, Zhaoling & Cai, Bofeng & Fujii, Minoru & Luo, Xiao & Chen, Wei & Geng, Yong & Fujita, Tsuyoshi & Le, Yiping, 2021. "Spatial and structural characteristics of CO2 emissions in East Asian megacities and its indication for low-carbon city development," Applied Energy, Elsevier, vol. 284(C).
    5. Cui, Can & Wang, Zhen & Cai, Bofeng & Peng, Sha & Wang, Yang & Xu, Chengdong, 2021. "Evolution-based CO2 emission baseline scenarios of Chinese cities in 2025," Applied Energy, Elsevier, vol. 281(C).
    6. Juan Luo & Chong Xu & Boyu Yang & Xiaoyu Chen & Yinyin Wu, 2022. "Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect," Energies, MDPI, vol. 15(14), pages 1-20, July.
    7. Xiaojun Zhang & Weiqiao Wang & Yunan Bai & Yong Ye, 2022. "How Has China Structured Its Ecological Governance Policy System?—A Case from Fujian Province," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    8. Kumar, Indraneel & Tyner, Wallace E. & Sinha, Kumares C., 2016. "Input–output life cycle environmental assessment of greenhouse gas emissions from utility scale wind energy in the United States," Energy Policy, Elsevier, vol. 89(C), pages 294-301.
    9. White, David J. & Hubacek, Klaus & Feng, Kuishuang & Sun, Laixiang & Meng, Bo, 2018. "The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis," Applied Energy, Elsevier, vol. 210(C), pages 550-567.
    10. Eivind Lekve Bjelle & Johannes Többen & Konstantin Stadler & Thomas Kastner & Michaela C. Theurl & Karl-Heinz Erb & Kjartan-Steen Olsen & Kirsten S. Wiebe & Richard Wood, 2020. "Adding country resolution to EXIOBASE: impacts on land use embodied in trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    11. Junwu Wang & Yinghui Song & Wei Wang & Suikuan Wang & Feng Guo & Jiequn Lu, 2022. "Marine Construction Waste Recycling Mechanism Considering Public Participation and Carbon Trading: A Study on Dynamic Modeling and Simulation Based on Sustainability Policy," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    12. Xiaolei Geng & Dou Zhang & Chengwei Li & Yanyao Li & Jingling Huang & Xiangrong Wang, 2020. "Application and Comparison of Multiple Models on Agricultural Sustainability Assessments: A Case Study of the Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    13. Lena Kilian & Anne Owen & Andy Newing & Diana Ivanova, 2022. "Exploring Transport Consumption-Based Emissions: Spatial Patterns, Social Factors, Well-Being, and Policy Implications," Sustainability, MDPI, vol. 14(19), pages 1-26, September.
    14. Dario Debowicz, 2016. "A social accounting matrix for Iraq," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    15. Shewit Gebremedhin & Abebe Getahun & Wassie Anteneh & Stijn Bruneel & Peter Goethals, 2018. "A Drivers-Pressure-State-Impact-Responses Framework to Support the Sustainability of Fish and Fisheries in Lake Tana, Ethiopia," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    16. Xiwen Fu & Shuxin Wang, 2022. "How to Promote Low-Carbon Cities with Blockchain Technology? A Blockchain-Based Low-Carbon Development Model for Chinese Cities," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    17. Bruckner, Martin & Wood, Richard & Moran, Daniel & Kuschnig, Nikolas & Wieland, Hanspeter & Maus, Victor & Börner, Jan, 2019. "FABIO - The Construction of the Food and Agriculture Biomass Input-Output Model," Ecological Economic Papers 27, WU Vienna University of Economics and Business.
    18. Elena Cervelli & Stefania Pindozzi & Emilia Allevato & Luigi Saulino & Roberto Silvestro & Ester Scotto di Perta & Antonio Saracino, 2022. "Landscape Planning Integrated Approaches to Support Post-Wildfire Restoration in Natural Protected Areas: The Vesuvius National Park Case Study," Land, MDPI, vol. 11(7), pages 1-25, July.
    19. Alexandre Troian & Mário Conill Gomes & Tales Tiecher & Julio Berbel & Carlos Gutiérrez-Martín, 2021. "The Drivers-Pressures-State-Impact-Response Model to Structure Cause−Effect Relationships between Agriculture and Aquatic Ecosystems," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    20. Guangyang He & Wei Jiang & Weidong Gao & Chang Lu, 2024. "Unveiling the Spatial-Temporal Characteristics and Driving Factors of Greenhouse Gases and Atmospheric Pollutants Emissions of Energy Consumption in Shandong Province, China," Sustainability, MDPI, vol. 16(3), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13295-:d:943012. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.