IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i4p779-d1628334.html
   My bibliography  Save this article

Risk Assessment of Yellow Muddy Water in High-Construction-Intensity Cities Based on the GIS Analytic Hierarchy Process Method: A Case Study of Guangzhou City

Author

Listed:
  • Xichun Jia

    (Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    School of Civil Engineering, Sun Yat-Sen University, Guangzhou 510275, China
    Soil and Water Conservation Monitoring Center of Pearl River Basin, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China)

  • Xuebing Jiang

    (Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    Soil and Water Conservation Monitoring Center of Pearl River Basin, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China)

  • Jun Huang

    (Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    Soil and Water Conservation Monitoring Center of Pearl River Basin, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    Key Laboratory of Water Security Guarantee in Guangdong-Hong Kong-Marco Greater Bay Area of Ministry of Water Resources, Guangzhou 510610, China)

  • Le Li

    (Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    Soil and Water Conservation Monitoring Center of Pearl River Basin, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China)

  • Bingjun Liu

    (School of Civil Engineering, Sun Yat-Sen University, Guangzhou 510275, China
    Key Laboratory of Water Security Guarantee in Guangdong-Hong Kong-Marco Greater Bay Area of Ministry of Water Resources, Guangzhou 510610, China)

  • Shunchao Yu

    (Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    Soil and Water Conservation Monitoring Center of Pearl River Basin, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510610, China
    Key Laboratory of the Pearl River Estuary Regulation and Protection of Ministry of Water Resources, Guangzhou 510610, China)

Abstract

During urbanisation, extensive production and construction activities encroach on ecological spaces, leading to changes in environmental structures and soil erosion. The issue of yellow muddy water caused by rainfall in cities with high construction intensity has garnered significant attention. Taking Guangzhou City as the research area, this study is the first to propose a risk assessment model for yellow muddy water in cities with high construction intensity, and the influence of construction sites on yellow muddy water was fully considered. Rainfall and construction sites were used as indicators to assess the hazards of yellow muddy water. Elevation, slope, normalised difference vegetation index ( NDVI ), soil erosion modulus, stream power index ( SPI ), surface permeability, and roads represent the exposure evaluation indicators. Population number and GDP (Gross Domestic Product) were used as vulnerability evaluation indicators. Based on the analytic hierarchy process (AHP) method, the weights of each evaluation indicator were determined, and a risk assessment system for yellow muddy water was established. By overlaying the weighted layers of different evaluation indicators on the geographic information system (GIS) platform, a risk degree distribution map of yellow muddy water disasters was generated. The evaluation results demonstrated that the disaster risk levels within the study area exhibited spatial differentiation, with areas of higher risk accounting for 14.76% of the total. The evaluation results were compared with historical yellow muddy water event information from Guangzhou, and the effectiveness of the model was verified by the receiver operating characteristic (ROC) curve. The validation results indicate that this model provides high accuracy in assessing the degree of risk of yellow muddy water in high-construction-intensity cities, offering effective technical support for precise disaster prevention and mitigation.

Suggested Citation

  • Xichun Jia & Xuebing Jiang & Jun Huang & Le Li & Bingjun Liu & Shunchao Yu, 2025. "Risk Assessment of Yellow Muddy Water in High-Construction-Intensity Cities Based on the GIS Analytic Hierarchy Process Method: A Case Study of Guangzhou City," Land, MDPI, vol. 14(4), pages 1-24, April.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:779-:d:1628334
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/4/779/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/14/4/779/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Wen & Chen, Weiping & Peng, Chi, 2014. "Assessing the effectiveness of green infrastructures on urban flooding reduction: A community scale study," Ecological Modelling, Elsevier, vol. 291(C), pages 6-14.
    2. Jinxuan Zhou & Shucheng Tan & Jun Li & Jian Xu & Chao Wang & Hui Ye, 2023. "Landslide Susceptibility Assessment Using the Analytic Hierarchy Process (AHP): A Case Study of a Construction Site for Photovoltaic Power Generation in Yunxian County, Southwest China," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    3. Sado-Inamura, Yukako & Fukushi, Kensuke, 2019. "Empirical analysis of flood risk perception using historical data in Tokyo," Land Use Policy, Elsevier, vol. 82(C), pages 13-29.
    4. Maria Ignatieva & Fahimeh Mofrad, 2023. "Understanding Urban Green Spaces Typology’s Contribution to Comprehensive Green Infrastructure Planning: A Study of Canberra, the National Capital of Australia," Land, MDPI, vol. 12(5), pages 1-27, April.
    5. Morris Oleng & Zuhal Ozdemir & Kypros Pilakoutas, 2024. "Co-seismic and rainfall-triggered landslide hazard susceptibility assessment for Uganda derived using fuzzy logic and geospatial modelling techniques," 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. 120(15), pages 14049-14082, December.
    6. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    7. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    Full references (including those not matched with items on IDEAS)

    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. Andrzej Pacana & Dominika Siwiec & Jacek Pacana, 2023. "Fuzzy Method to Improve Products and Processes Considering the Approach of Sustainable Development (FQE-SD Method)," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    2. Klaus D. Goepel, 2019. "Comparison of Judgment Scales of the Analytical Hierarchy Process — A New Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 445-463, March.
    3. Guorui Zhang & Enyuan Wang & Zhonghui Li & Ben Qin, 2022. "Risk assessment of coal and gas outburst in driving face based on finite interval cloud model," 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. 110(3), pages 1969-1995, February.
    4. Huan Lin & Xiaolei Deng & Jianping Yu & Xiaoliang Jiang & Dongsong Zhang, 2023. "A Study of Sustainable Product Design Evaluation Based on the Analytic Hierarchy Process and Deep Residual Networks," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    5. Remigiusz Gawlik & Dominika Siwiec & Andrzej Pacana, 2024. "Quality–Cost–Environment Assessment of Sustainable Manufacturing of Photovoltaic Panels," Energies, MDPI, vol. 17(7), pages 1-17, March.
    6. Dominika Siwiec & Remigiusz Gawlik & Andrzej Pacana, 2024. "Triangular fuzzy numbers for satisfactory quality-environmental decisions in product development," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(4), pages 185-209.
    7. Chi, Shu-Yi & Chien, Li-Hsien, 2023. "Why defuzzification matters: An empirical study of fresh fruit supply chain management," European Journal of Operational Research, Elsevier, vol. 311(2), pages 648-659.
    8. Alfonso Maria Ponsiglione & Francesco Amato & Santolo Cozzolino & Giuseppe Russo & Maria Romano & Giovanni Improta, 2022. "A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs," Mathematics, MDPI, vol. 10(9), pages 1-20, April.
    9. Stefano Brogi & Tamara Menichini, 2024. "The pathway towards circular economy: Measuring circular advantage of eco‐innovations," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3005-3038, May.
    10. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    11. Wang, Yutao & Sun, Mingxing & Song, Baimin, 2017. "Public perceptions of and willingness to pay for sponge city initiatives in China," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 11-20.
    12. Fang, Lei, 2022. "Measuring and decomposing group performance under centralized management," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1006-1013.
    13. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    14. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-42, May.
    15. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    16. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    17. Juan Carlos Martín & Veronika Rudchenko & María-Victoria Sánchez-Rebull, 2020. "The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg," Administrative Sciences, MDPI, vol. 10(3), pages 1-24, September.
    18. Jelena Lukić & Mirjana Misita & Dragan D. Milanović & Ankica Borota-Tišma & Aleksandra Janković, 2022. "Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    19. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    20. Kun Chen & Gang Kou & J. Michael Tarn & Yan Song, 2015. "Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices," Annals of Operations Research, Springer, vol. 235(1), pages 155-175, December.

    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:jlands:v:14:y:2025:i:4:p:779-:d:1628334. 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.