Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas

Study region: The Nansha District of Guangzhou, China, is a typical example of a plain river network polder area. Study focus: Polder areas, located in coastal lowlands, are frequently subjected to tidal influences and heavy rainfall, resulting in significant flood risks. The diverse land surface ty...

Full description

Saved in:
Bibliographic Details
Main Authors: Cheng Chen, Binquan Li, Yang Xiao, Huihui Li, Taotao Zhang, Dong Xu, Huanghao Yu
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824005032
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832591805058646016
author Cheng Chen
Binquan Li
Yang Xiao
Huihui Li
Taotao Zhang
Dong Xu
Huanghao Yu
author_facet Cheng Chen
Binquan Li
Yang Xiao
Huihui Li
Taotao Zhang
Dong Xu
Huanghao Yu
author_sort Cheng Chen
collection DOAJ
description Study region: The Nansha District of Guangzhou, China, is a typical example of a plain river network polder area. Study focus: Polder areas, located in coastal lowlands, are frequently subjected to tidal influences and heavy rainfall, resulting in significant flood risks. The diverse land surface types and complex runoff generation and confluence mechanisms pose challenges to flood forecasting in these areas, particularly in the absence of high-resolution topographic data. This study proposed a runoff and confluence model incorporating various land surfaces, including paddy fields, drylands, forests, urban areas, and water surfaces. The MIKE 11 model was used to simulate river flood evolution. The model was applied in flood forecasting and risk assessment. A BP neural network (BPNN) was employed for error correction to reduce model uncertainty in forecasting. Five different rainfall scenarios with varying return periods (RP) were used to assess the region's drainage capacity and associated risks. New hydrological insights: The results showed that the model can simulate the river water level process well. The average Nash-Sutcliffe efficiency coefficients (NSE) reached 0.86 and 0.91 in the calibration and validation periods, respectively. Following the application of the BPNN correction, the NSEs of all floods were greater than 0.9. The drainage capacity assessment revealed that the current drainage facilities in the study area are at risk of urban flooding when confronted with a design storm with an RP= 50. The model can be used for flood forecasting and risk assessment in polder areas without the need for high-resolution data.
format Article
id doaj-art-e6569886d666499ca0446167ac837c7c
institution Kabale University
issn 2214-5818
language English
publishDate 2025-02-01
publisher Elsevier
record_format Article
series Journal of Hydrology: Regional Studies
spelling doaj-art-e6569886d666499ca0446167ac837c7c2025-01-22T05:42:14ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102154Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areasCheng Chen0Binquan Li1Yang Xiao2Huihui Li3Taotao Zhang4Dong Xu5Huanghao Yu6The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaThe National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; Corresponding author at: The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, ChinaSchool of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China; Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources, Hohai University, Nanjing 210024, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaSchool of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, ChinaKey Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources, Hohai University, Nanjing 210024, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaStudy region: The Nansha District of Guangzhou, China, is a typical example of a plain river network polder area. Study focus: Polder areas, located in coastal lowlands, are frequently subjected to tidal influences and heavy rainfall, resulting in significant flood risks. The diverse land surface types and complex runoff generation and confluence mechanisms pose challenges to flood forecasting in these areas, particularly in the absence of high-resolution topographic data. This study proposed a runoff and confluence model incorporating various land surfaces, including paddy fields, drylands, forests, urban areas, and water surfaces. The MIKE 11 model was used to simulate river flood evolution. The model was applied in flood forecasting and risk assessment. A BP neural network (BPNN) was employed for error correction to reduce model uncertainty in forecasting. Five different rainfall scenarios with varying return periods (RP) were used to assess the region's drainage capacity and associated risks. New hydrological insights: The results showed that the model can simulate the river water level process well. The average Nash-Sutcliffe efficiency coefficients (NSE) reached 0.86 and 0.91 in the calibration and validation periods, respectively. Following the application of the BPNN correction, the NSEs of all floods were greater than 0.9. The drainage capacity assessment revealed that the current drainage facilities in the study area are at risk of urban flooding when confronted with a design storm with an RP= 50. The model can be used for flood forecasting and risk assessment in polder areas without the need for high-resolution data.http://www.sciencedirect.com/science/article/pii/S2214581824005032Polder areaHydrological-hydrodynamic coupling modelBPNNFlood forecastingDrainageError correction
spellingShingle Cheng Chen
Binquan Li
Yang Xiao
Huihui Li
Taotao Zhang
Dong Xu
Huanghao Yu
Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
Journal of Hydrology: Regional Studies
Polder area
Hydrological-hydrodynamic coupling model
BPNN
Flood forecasting
Drainage
Error correction
title Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
title_full Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
title_fullStr Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
title_full_unstemmed Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
title_short Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
title_sort hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas
topic Polder area
Hydrological-hydrodynamic coupling model
BPNN
Flood forecasting
Drainage
Error correction
url http://www.sciencedirect.com/science/article/pii/S2214581824005032
work_keys_str_mv AT chengchen hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas
AT binquanli hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas
AT yangxiao hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas
AT huihuili hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas
AT taotaozhang hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas
AT dongxu hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas
AT huanghaoyu hydrologicalandhydrodynamiccouplingsimulationundercompositeunderlyingsurfacesinurbanpolderareas