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CN117150823B - High-resolution rapid simulation method for coastal city flood disasters - Google Patents

High-resolution rapid simulation method for coastal city flood disasters Download PDF

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CN117150823B
CN117150823B CN202311421117.2A CN202311421117A CN117150823B CN 117150823 B CN117150823 B CN 117150823B CN 202311421117 A CN202311421117 A CN 202311421117A CN 117150823 B CN117150823 B CN 117150823B
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CN117150823A (en
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梁丙臣
张婧
武国相
蔡锋
戚洪帅
刘建辉
曹超
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Ocean University of China
Third Institute of Oceanography MNR
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Abstract

本发明公开了一种滨海城市洪水灾害的高分辨率快速模拟方法,属于海岸灾害防护领域。包括以下步骤:确定目标区域,收集目标区域的水深、城市DEM数据;划分网格,搭建滨海城市洪水二维模型;基于二维浅水方程,引入孔隙率概念,构建考虑建筑物所占水体体积的质量守恒方程;基于二维浅水方程,构建考虑建筑物拖曳力的动量守恒方程;基于改进的浅水方程,对目标区域进行数值模拟。城市中建筑物对水体产生的影响主要为建筑物会占据一部分水体体积、建筑物的存在对水流有阻滞作用,本发明既考虑了高分辨率下建筑物的影响,又实现了洪水模拟的高效性和可靠性,为应对滨海城市面临的洪水灾害提供更快速、可靠的预测和决策支持。

The invention discloses a high-resolution rapid simulation method of coastal urban flood disasters, and belongs to the field of coastal disaster protection. It includes the following steps: determine the target area, collect water depth and urban DEM data of the target area; divide the grid and build a two-dimensional coastal urban flood model; based on the two-dimensional shallow water equation, introduce the concept of porosity and construct a model that takes into account the water volume occupied by the building. Mass conservation equation; based on the two-dimensional shallow water equation, a momentum conservation equation considering the drag force of the building is constructed; based on the improved shallow water equation, numerical simulation of the target area is performed. The main impact of buildings on water bodies in cities is that buildings occupy part of the water body volume, and the existence of buildings has a blocking effect on water flow. This invention not only considers the impact of buildings under high resolution, but also realizes flood simulation. Efficient and reliable, it provides faster and more reliable prediction and decision-making support for dealing with flood disasters faced by coastal cities.

Description

High-resolution rapid simulation method for coastal city flood disasters
Technical Field
The invention relates to the field of coastal disaster protection, in particular to a high-resolution rapid simulation method for coastal city flood disasters.
Background
Coastal cities are often affected by extreme disasters such as typhoons, storm surge, tsunamis and the like, which can cause casualties and property loss, and can also have profound effects on the ecological environment and social economic development of the cities.
With the continuous development of remote sensing and radar technology, high-resolution DEM (digital elevation model) data has gradually become an important tool for researching disaster prevention and reduction of coastal cities. DEM data may provide important information on coastlines, altitude and terrain, which is of great importance in predicting coastal city inundation. However, due to the limitation of calculation cost, the existing coast inundation model still adopts a medium-scale grid (hundred meters) for simulation, so that the landform features of streets, buildings and the like in the city are often ignored, and the simulation result is inaccurate. The influence of the distributed buildings in the city on the water flow is not negligible. The building occupies a certain volume of water and also has a blocking effect on the water flow, thereby affecting the speed and direction of the water flow. Therefore, how to fully consider the high-resolution landform influence and ensure the calculation efficiency during the coastal city flood forecast simulation is the technical problem mainly solved by the invention.
Disclosure of Invention
The invention provides a high-resolution rapid simulation method for coastal city flood disasters, which aims to solve the problem that the calculation efficiency is difficult to consider under the condition that the high-resolution landforms such as streets, buildings and the like are considered in the conventional coastal city flooding simulation technology.
In order to solve the problems, the invention provides the following technical scheme:
a high-resolution rapid simulation method for coastal city flood disasters comprises the following steps:
s1: determining a target area, and collecting water depth and urban DEM data of the target area;
s2: dividing grids for the data obtained in the step S1, constructing a coastal city flood two-dimensional model, and establishing boundary conditions and initial conditions;
s3: based on a two-dimensional shallow water equation, introducing a porosity concept, and constructing a mass conservation equation considering the volume of the water body occupied by the building;
s4: calculating the drag force of water flow in each grid to a building through building distribution and elevation data based on a two-dimensional shallow water equation, and constructing a momentum conservation equation considering the drag force;
s5: and carrying out numerical simulation on the flood arrival time, the submerged depth, the submerged range and the submerged duration of the target area based on the improved shallow water equation, and carrying out flood submerged risk prediction.
Preferably, the resolution of the urban DEM data in step S1 is guaranteed to be capable of characterizing detailed street and building landform information in the city.
Preferably, in step S3, the mass conservation equation considering the volume of the water body occupied by the building is:
in the method, in the process of the invention,for porosity->For water level, P and Q are flow in x and y directions, respectively, and t is time;
the porosity of theIs defined as follows: each calculation grid comprises a plurality of elevation data points, if the land elevation is higher than the water level of the grid, the elevation data points are marked as a plurality of points, otherwise, the elevation data points are wet points, and the ratio of the number of the wet points to the total elevation data points is the porosity corresponding to the grid +.>
Preferably, the momentum conservation equation considering the drag force described in step S4 is calculated as follows:
wherein H is the water depth,shear stress caused by viscosity of water body, +.>Is the friction stress of the bottom->Which is a drag force caused by the building.
Preferably, the drag force caused by the building is calculated as follows:
wherein the method comprises the steps ofIs the resistance coefficient of the structure->Representing the projected area of all buildings in x and y directions within a single grid, +.>Representing the size of the computational grid, +.>Represents the average height of all buildings within a single grid,/->Representing the water depth of this drag effect.
Preferably, the projection area of the building in x and y directions and the average height of the building are calculated as follows:
in the middle ofFor the number of buildings present in each grid, < > j->Representing the projected area of all buildings in x and y directions within a single grid, +.>Representing the ith buildingProjection area in x and y direction, +.>Coordinates of the location of the ith building, +.>For the height of the ith building, < +.>Representing the average height of all buildings within a single grid.
The beneficial effects of the invention are as follows: aiming at the problem that storm surge flood disaster simulation in coastal urban areas is difficult to achieve both simulation efficiency and simulation resolution, the invention provides a high-resolution rapid simulation method for coastal urban flood disasters by improving a traditional two-dimensional shallow water equation.
When the method is used for carrying out the submerged simulation of the coastal cities by adopting the medium-scale grids, the high-resolution topographic data can be fully utilized, and key indexes such as submerged water depth, submerged arrival time and the like of the coastal cities under extreme disasters such as storm surge and the like can be rapidly and accurately simulated.
According to the method, the influence of the building is considered, so that the flood process can be restored more truly, and rapid and reliable prediction and decision support are provided for coping with disasters such as storm surge and the like facing coastal cities, so that the accuracy of urban flood risk early warning is improved.
The influence of the building on the water body in the city is mainly divided into two parts, firstly, the building occupies a part of the water body volume, and secondly, the existence of the building has a blocking effect on the water flow.
The invention can provide flood risk assessment, early warning and decision support, and help plan urban flood control measures and cope with disasters such as storm surge and the like facing coastal cities.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a high-resolution rapid simulation method of a coastal city flood disaster disclosed by the invention;
FIG. 2 is a water depth topography of an exemplary area, with the abscissa (X, Y) representing a two-dimensional planar space in meters (m), the abscissa representing the distance in the X direction in the two-dimensional plane, the ordinate representing altitude, the color bar representing the water depth value in meters (m); wherein (a) is a two-dimensional water depth map of the simulation area, a building distribution area is arranged in a black dotted line frame, and O1-O4 are observation point positions; (b) is a water depth profile of the simulation area.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment 1 the embodiment of the invention provides a high-resolution rapid simulation method of coastal city flood disasters, which comprises the following specific steps:
s1: determining a target area, and collecting water depth and urban DEM data of the target area:
the coastal city inundation simulation needs to acquire offshore water depth data and high-resolution land topography elevation data, and unifies the data to the same datum plane.
S2: and (3) meshing the data obtained in the step (S1), constructing a coastal city flood two-dimensional model, and establishing boundary conditions and initial conditions:
according to the water depth and the topographic data in the step S1, a calculation grid with proper size is established to cover the target area, and the calculation grid is required to be far larger than the resolution of the land topographic elevation data so as to ensure that a plurality of buildings exist in each calculation grid. An input condition of a water level-time sequence is set at an open boundary of the target area for simulating a scene in which tsunami occurs.
S3: based on a two-dimensional shallow water equation, introducing a porosity concept, constructing a mass conservation equation considering the water volume occupied by a building,
according to the high-resolution land topography elevation data in the step S1, each calculation grid comprises a plurality of elevation data points, if the land elevation is higher than the water level of the grid, the land elevation data are marked as dry points, otherwise, the land elevation data are wet points, and the ratio of the number of the wet points to the total elevation data points is the porosity corresponding to the gridThereby constructing an improved mass conservation equation as follows:
in the method, in the process of the invention,for porosity->For water level, P and Q are flow rates in the x and y directions, respectively, and t is time.
S4: based on the two-dimensional shallow water equation, calculating the drag force of the water flow in each grid to the building through the building distribution and elevation data, constructing a momentum conservation equation considering the drag force,
and calculating the drag force of the water flow in each grid to the building according to the related geometric parameters of the building, thereby constructing an improved momentum conservation equation, wherein the calculation formula is as follows:
wherein H is the water depth,shear stress caused by viscosity of water body, +.>Is the friction stress of the bottom->Which is a drag force caused by the building.
The drag force caused by the building is calculated as follows:
wherein the method comprises the steps ofIs the resistance coefficient of the structure->Representing the projected area of all buildings in x and y directions within a single grid, +.>Representing the size of the computational grid, +.>Represents the average height of all buildings within a single grid,/->Representing the water depth of this drag effect.
Based on the distribution of the buildings and the elevation data, the relevant geometrical parameters (projected area of the buildings in x and y directions, the number of buildings and the average height of the buildings within a single grid) are calculated as follows:
in the middle ofFor the number of buildings present in each grid, < > j->Representing the projected area of all buildings in x and y directions within a single grid, +.>Representing the projected area of the ith building in x and y directions,/for example>Coordinates of the location of the ith building, +.>For the height of the ith building, < +.>Representing the average height of all buildings within a single grid.
S5: based on an improved shallow water equation, carrying out numerical simulation on flood arrival time, submerged water depth, submerged range and submerged duration of a target area, and carrying out flood submerged risk prediction:
the model calculation can obtain the factors such as the water level, the flow rate and the like of the whole area, the matlab is adopted to process and draw the calculation result, and the matlab is combined with the GIS to draw the urban inundation disaster map, so that a powerful tool is provided for the coastal urban disaster early warning.
To verify the capability of the coastal city flood disaster simulation method of this embodiment, an idealized coastal city area is designed, the topography of which is shown in fig. 2 (a) and (b), wherein the city area is within the dashed line box. The input conditions and model settings of the model are shown in table 1.
In order to show the reliability of the coastal city flood disaster simulation technology provided by the invention, the simulation result of the embodiment is compared with the simulation result of the traditional two-dimensional shallow water equation, and the high-precision simulation result of the traditional two-dimensional shallow water equation is used as a reference. 4 observation points O1-O4 are selected at the front edge and the inside of the city, and the positions of the observation points, the historical maximum water level and the historical maximum flow rate during flood are shown in table 2.
As can be seen from Table 2, O1 and O2 are located at the front of the urban area, and the low-precision simulation using the conventional shallow water equation results in lower historic maximum water level and historic maximum flow rate, while the low-precision simulation using the improved shallow water equation results in a much closer relationship to the reference group. O3 and O4 are located in the urban area, the historical maximum water level and the historical maximum flow rate are nearly doubled by using the traditional shallow water equation for low-precision simulation, and the improved shallow water equation is used for low-precision simulation, so that results which are closer to those of the reference group can be obtained. The simulation scheme provided by the invention can provide more reliable flood level and flow rate prediction results whether the simulation scheme is positioned at the front edge of a city area or inside the city area.
To demonstrate the effectiveness of the coastal city flood disaster simulation technique of the present invention, the simulation required length of the present example was compared with the simulation required length of the conventional two-dimensional shallow water equation, as shown in table 3.
From Table 3, the high-resolution rapid simulation method for the coastal city flood disaster provided by the invention can be used for obviously shortening the simulation time. The method is of great importance to the coastal city for coping with flood disasters, and can provide reliable flood risk assessment, early warning and decision support in time.
Table 1 input conditions and model settings for models
Model arrangement Calculating grid accuracy Control equation Input wave height Analog duration
Model A (reference group) High precision (10 m) Traditional two-dimensional shallow water equation 6 m 1800 s
Model B Low precision (100 m) Traditional two-dimensional shallow water equation 6m 1800 s
Model C Low precision (100 m) The invention improves two-dimensional shallow water equation 6 m 1800 s
TABLE 2 positions of observation points and historic maximum water level values and historic maximum flow velocity values thereof
Observation point position Observation point location Device for placing articles Historical maximum water Bit (m) History maximization Water level (m) History maximization Water level (m) History maximization Flow rate (m/s) History maximization Flow rate (m/s) History maximization Flow rate (m/s)
X(m) Y(m) Model A Model B Model C Model A Model B Model C
O1 8000 2500 4.474 4.387 4.435 5.624 5.245 5.345
O2 10000 2500 6.442 4.818 5.368 6.221 5.240 6.571
O3 11500 2500 1.605 3.081 2.045 4.339 5.554 3.251
O4 12000 2500 1.351 2.637 1.556 2.597 4.361 2.017
Table 3 simulation of the desired length-to-length comparison
Model Model A Model B Model C
Simulation of the required duration (seconds) 6400 442 508
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (5)

1. The high-resolution rapid simulation method for the coastal city flood disasters is characterized by comprising the following steps of:
s1: determining a target area, and collecting water depth and urban DEM data of the target area;
s2: dividing grids for the data obtained in the step S1, constructing a coastal city flood two-dimensional model, and establishing boundary conditions and initial conditions;
s3: based on a two-dimensional shallow water equation, introducing a porosity concept, and constructing a mass conservation equation considering the volume of the water body occupied by the building; the mass conservation equation is:
in the method, in the process of the invention,for porosity->For water level, P and Q are flow in x and y directions, respectively, and t is time;
the porosity of theIs defined as follows: each calculation grid comprises a plurality of elevation data points, if the land elevation is higher than the water level of the grid, the elevation data points are marked as a plurality of points, otherwise, the elevation data points are wet points, and the ratio of the number of the wet points to the total elevation data points is the porosity corresponding to the grid +.>
S4: calculating the drag force of water flow in each grid to a building through building distribution and elevation data based on a two-dimensional shallow water equation, and constructing a momentum conservation equation considering the drag force; the calculation formula is as follows:
wherein H is the water depth,shear stress caused by viscosity of water body, +.>Is the friction stress of the bottom->Drag forces induced for the building;
s5: and carrying out numerical simulation on the flood arrival time, the submerged depth, the submerged range and the submerged duration of the target area based on the improved shallow water equation, and carrying out flood submerged risk prediction.
2. The method according to claim 1, wherein the resolution of the urban DEM data in step S1 is such that detailed street and building relief information in the city can be characterized.
3. The method of high resolution rapid simulation of a coastal city flood disaster according to claim 1, wherein the boundary conditions in step S2 include, but are not limited to, water level of the target area when subjected to typhoons, storm surge or tsunami extreme events, wave conditions, and astronomical tide level of the target area.
4. The high resolution rapid simulation method of coastal city flood disasters according to claim 1, wherein the drag force calculation formula caused by the building is as follows:
wherein the method comprises the steps ofIs the resistance coefficient of the structure->Representing the projected area of all buildings in x and y directions within a single grid, +.>Representing the size of the computational grid, +.>Represents the average height of all buildings within a single grid,/->Representing the water depth of this drag effect.
5. The high-resolution rapid simulation method of coastal city flood disasters according to claim 4, wherein the projected areas of the buildings in x and y directions and the average heights of the buildings are calculated as follows:
in the middle ofFor the number of buildings present in each grid, < > j->Representing the projected area of all buildings in x and y directions within a single grid, +.>Representing the projected area of the ith building in x and y directions,/for example>Coordinates of the location of the ith building, +.>For the height of the ith building, < +.>Representing the average height of all buildings within a single grid.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120030951B (en) * 2025-04-22 2025-07-01 中国海洋大学 A numerical simulation method for tidal hydrodynamics of a pile-based hollow breakwater

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008084243A (en) * 2006-09-29 2008-04-10 Hitachi Engineering & Services Co Ltd Inundation simulation device and program
US8655595B1 (en) * 2006-10-17 2014-02-18 Corelogic Solutions, Llc Systems and methods for quantifying flood risk
KR101741777B1 (en) * 2016-01-27 2017-05-30 (주)도명이엔지 Method for applying damage functions while calculating flood damage of flooded areas by using GIS information
CN109543275A (en) * 2018-11-15 2019-03-29 中国水利水电科学研究院 A kind of city rainwash Two-dimensional numerical simulation method
CN110400014A (en) * 2019-07-23 2019-11-01 华东师范大学 A Numerical Simulation Method of Multi-source Floods in Coastal Cities Based on GIS Raster Operation
KR20200005271A (en) * 2018-07-06 2020-01-15 영남대학교 산학협력단 Method for Providing Inundation Simulation In Coastal Urban Area and Computer Program Therefore
CN110991822A (en) * 2019-11-18 2020-04-10 天津大学 A 3D Hydrodynamic Numerical Simulation Method Based on Oblique Image Modeling
US11200788B1 (en) * 2021-06-28 2021-12-14 1st Street Foundation, Inc. Systems and methods for forecasting and assessing hazard-resultant effects
KR102492407B1 (en) * 2022-05-03 2023-02-06 대한민국 Method and system for the Risk Assessment of Tsunami and flooding
KR20230055060A (en) * 2021-10-18 2023-04-25 한국수자원공사 Two-Dimensional Flood inundation analysis technique
CN116090625A (en) * 2023-01-01 2023-05-09 郑州大学 Rapid flood prediction method for coastal cities based on LightGBM and hydrological and hydrodynamic models

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008084243A (en) * 2006-09-29 2008-04-10 Hitachi Engineering & Services Co Ltd Inundation simulation device and program
US8655595B1 (en) * 2006-10-17 2014-02-18 Corelogic Solutions, Llc Systems and methods for quantifying flood risk
KR101741777B1 (en) * 2016-01-27 2017-05-30 (주)도명이엔지 Method for applying damage functions while calculating flood damage of flooded areas by using GIS information
KR20200005271A (en) * 2018-07-06 2020-01-15 영남대학교 산학협력단 Method for Providing Inundation Simulation In Coastal Urban Area and Computer Program Therefore
CN109543275A (en) * 2018-11-15 2019-03-29 中国水利水电科学研究院 A kind of city rainwash Two-dimensional numerical simulation method
CN110400014A (en) * 2019-07-23 2019-11-01 华东师范大学 A Numerical Simulation Method of Multi-source Floods in Coastal Cities Based on GIS Raster Operation
CN110991822A (en) * 2019-11-18 2020-04-10 天津大学 A 3D Hydrodynamic Numerical Simulation Method Based on Oblique Image Modeling
US11200788B1 (en) * 2021-06-28 2021-12-14 1st Street Foundation, Inc. Systems and methods for forecasting and assessing hazard-resultant effects
KR20230055060A (en) * 2021-10-18 2023-04-25 한국수자원공사 Two-Dimensional Flood inundation analysis technique
KR102492407B1 (en) * 2022-05-03 2023-02-06 대한민국 Method and system for the Risk Assessment of Tsunami and flooding
CN116090625A (en) * 2023-01-01 2023-05-09 郑州大学 Rapid flood prediction method for coastal cities based on LightGBM and hydrological and hydrodynamic models

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Effects of flow intensity on local scour around a submerged square pile in a steady current;Du, ST 等;《PHYSICS OF FLUIDS》;全文 *
沿海城市溃堤洪水模拟技术研究进展;龚政;郭蕴哲;杭俊成;王培;;水利水电科技进展(第03期);全文 *
浅水方程大规模并行计算模拟城市洪水演进;许栋;PAyet David;及春宁;徐彬;白玉川;刘红波;;天津大学学报(自然科学与工程技术版)(第04期);全文 *
海岸带城市洪水淹没风险评价研究――以青岛市为例;廖琪;于格;江文胜;马艳;林群;刘克修;王延平;孙雪;;海洋与湖沼(第02期);全文 *

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