IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6416-d1119484.html
   My bibliography  Save this article

Assessing the Long-Term Hydrological Effects of Rapid Urbanization in Metropolitan Shanghai, China: The Finer the Landscape Classification, the More Accurate the Modeling?

Author

Listed:
  • Tao Tao

    (Department of Environmental Science and Engineering, Shanghai University, Shanghai 200444, China
    Shanghai Engineering Research Center of Water Environment Simulation and Ecological Restoration, Shanghai Academy of Environment Sciences, Shanghai 200233, China
    These authors contributed equally to this work.)

  • Du Wang

    (Department of Environmental Science and Engineering, Shanghai University, Shanghai 200444, China
    These authors contributed equally to this work.)

  • Ganping Huang

    (Department of Environmental Science and Engineering, Shanghai University, Shanghai 200444, China)

  • Liqing Lin

    (Academy of Environmental Planning and Design Co., Ltd., Nanjing University, Nanjing 210008, China)

  • Chenhao Wu

    (Shanghai Municipal Engineering Design Institute, Shanghai 200433, China)

  • Qixin Xu

    (School of Environmental and Geographical Sciences, East China Normal University, Shanghai 200234, China)

  • Jun Zhao

    (Department of Environmental Science and Engineering, Shanghai University, Shanghai 200444, China
    Shanghai Engineering Research Center of Water Environment Simulation and Ecological Restoration, Shanghai Academy of Environment Sciences, Shanghai 200233, China)

  • Guangren Qian

    (Department of Environmental Science and Engineering, Shanghai University, Shanghai 200444, China)

Abstract

Rapid urbanization often leads to increase in surface runoff; its modelling is always the focus in the field of land use effect. One of the methodological issues is how to classify the landscape (land use/land cover) in the model. In this study, the long-term hydrological impact assessment (L-THIA) model was used to simulate the change of annual surface runoff during the rapid urbanization in Shanghai since 1965. Two landscape scenarios, based upon land uses and pervious/impervious surfaces, were compared, and the CN values were adjusted to validate the applicability of the two landscape scenarios. The results showed that there was almost no difference between the results based on the two landscape scenarios, and it was suggested that the simplified landscape scenario based upon pervious/impervious surfaces can be workable and efficient, while the land use scenario may not be necessary for the modelling considering its scale of interpretation of remote sensing data. It was found that there was a clear linear relationship between the percentage of impervious surfaces and surface runoff. For every 1% increase in impervious surface, runoff increased by 0.94%. In addition, the effect of precipitation on the modelling was also discussed, which indicated that with the increase in impervious surface percentage, the response of runoff change in both dry year and dry season was more sensitive.

Suggested Citation

  • Tao Tao & Du Wang & Ganping Huang & Liqing Lin & Chenhao Wu & Qixin Xu & Jun Zhao & Guangren Qian, 2023. "Assessing the Long-Term Hydrological Effects of Rapid Urbanization in Metropolitan Shanghai, China: The Finer the Landscape Classification, the More Accurate the Modeling?," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6416-:d:1119484
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6416/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/8/6416/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huafei Yu & Yaolong Zhao & Yingchun Fu & Le Li, 2018. "Spatiotemporal Variance Assessment of Urban Rainstorm Waterlogging Affected by Impervious Surface Expansion: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    2. Lanhua Luo & Qing Zhou & Hong S. He & Liangxia Duan & Gaoling Zhang & Hongxia Xie, 2020. "Relative Importance of Land Use and Climate Change on Hydrology in Agricultural Watershed of Southern China," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    3. Shanshan Hu & Yunyun Fan & Tao Zhang, 2020. "Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing," Land, MDPI, vol. 9(1), pages 1-15, January.
    4. Konstantinos Soulis & John Valiantzas, 2013. "Identification of the SCS-CN Parameter Spatial Distribution Using Rainfall-Runoff Data in Heterogeneous Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(6), pages 1737-1749, April.
    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. Fazhi Li & Jingqiu Chen & Yaoze Liu & Peng Xu & Hua Sun & Bernard A. Engel & Shizhong Wang, 2019. "Assessment of the Impacts of Land Use/Cover Change and Rainfall Change on Surface Runoff in China," Sustainability, MDPI, vol. 11(13), pages 1-19, June.
    2. Xianhong Meng & Min Zhang & Jiahong Wen & Shiqiang Du & Hui Xu & Luyang Wang & Yan Yang, 2019. "A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    3. Yinhong Hu & Weiwei Yu & Bowen Cui & Yuanyuan Chen & Hua Zheng & Xiaoke Wang, 2021. "Pavement Overrides the Effects of Tree Species on Soil Bacterial Communities," IJERPH, MDPI, vol. 18(4), pages 1-11, February.
    4. Tong Xu & Zhiqiang Xie & Fei Zhao & Yimin Li & Shouquan Yang & Yangbin Zhang & Siqiao Yin & Shi Chen & Xuan Li & Sidong Zhao & Zhiqun Hou, 2022. "Permeability control and flood risk assessment of urban underlying surface: a case study of Runcheng south area, Kunming," 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. 111(1), pages 661-686, March.
    5. Huafei Yu & Yaolong Zhao & Yingchun Fu, 2019. "Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 16(19), pages 1-28, September.
    6. Luoyang Wang & Yao Li & Hao Hou & Yan Chen & Jinjin Fan & Pin Wang & Tangao Hu, 2022. "Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic 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. 114(2), pages 1915-1938, November.
    7. Zhiwei Wan & Hongqi Wu, 2022. "Evolution of Ecological Patterns of Poyang Lake Wetland Landscape over the Last One Hundred Years Based on Historical Topographic Maps and Landsat Images," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    8. Meiling Zhou & Xiuli Feng & Kaikai Liu & Chi Zhang & Lijian Xie & Xiaohe Wu, 2021. "An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    9. Chaowei Xu & Hao Fu & Jiashuai Yang & Lingyue Wang, 2022. "Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China," Land, MDPI, vol. 11(8), pages 1-24, July.
    10. Anna Porębska & Krzysztof Muszyński & Izabela Godyń & Kinga Racoń-Leja, 2023. "City and Water Risk: Accumulated Runoff Mapping Analysis as a Tool for Sustainable Land Use Planning," Land, MDPI, vol. 12(7), pages 1-21, July.
    11. Weike Chen & Jing Dong & Chaohua Yan & Hui Dong & Ping Liu, 2021. "What Causes Waterlogging?—Explore the Urban Waterlogging Control Scheme through System Dynamics Simulation," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    12. Samith Madusanka & Chethika Abenayake & Amila Jayasinghe & Chaminda Perera, 2022. "A Decision-Making Tool for Urban Planners: A Framework to Model the Interdependency among Land Use, Accessibility, Density, and Surface Runoff in Urban Areas," Sustainability, MDPI, vol. 14(1), pages 1-19, January.
    13. Fabio Recanatesi & Andrea Petroselli, 2020. "Land Cover Change and Flood Risk in a Peri-Urban Environment of the Metropolitan Area of Rome (Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4399-4413, November.
    14. Weiting Shan & Chunliang Xiu & Rui Ji, 2020. "Creating a Healthy Environment for Elderly People in Urban Public Activity Space," IJERPH, MDPI, vol. 17(19), pages 1-18, October.
    15. Zhiwei Wan & Xi Chen & Min Ju & Chaohao Ling & Guangxu Liu & Siping Lin & Huihua Liu & Yulian Jia & Meixin Jiang & Fuqiang Liao, 2020. "Streamflow Reconstruction and Variation Characteristic Analysis of the Ganjiang River in China for the Past 515 Years," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    16. Junmei Kang & Zhihua Wang & Hongbin Cheng & Jun Wang & Xiaoliang Liu, 2022. "Remote Sensing Land Use Evolution in Earthquake-Stricken Regions of Wenchuan County, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    17. D. R. Edwards, 2017. "Long-Term Spatio-Temporal Variation in Runoff Curve Number under Consistent Cover Conditions: a Southeastern US Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3491-3505, September.
    18. Xiaodong Huang & Wenkai Liu & Yuping Han & Chunying Wang & Han Wang & Sai Hu, 2019. "Performance Evaluation and Comparison of Modified Spectral Mixture Analysis Method for Different Images of Landsat Series Satellites," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    19. Sabita Shrestha & Shenghui Cui & Lilai Xu & Lihong Wang & Bikram Manandhar & Shengping Ding, 2021. "Impact of Land Use Change Due to Urbanisation on Surface Runoff Using GIS-Based SCS–CN Method: A Case Study of Xiamen City, China," Land, MDPI, vol. 10(8), pages 1-18, August.
    20. Chaowei Xu & Hao Fu & Jiashuai Yang & Lingyue Wang & Yizhen Wang, 2022. "Land-Use-Based Runoff Yield Method to Modify Hydrological Model for Flood Management: A Case in the Basin of Simple Underlying Surface," Sustainability, MDPI, vol. 14(17), pages 1-22, August.

    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:jsusta:v:15:y:2023:i:8:p:6416-:d:1119484. 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.