CN114528672A - Urban hydrological station network layout method and system based on 3S technology - Google Patents

Urban hydrological station network layout method and system based on 3S technology Download PDF

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CN114528672A
CN114528672A CN202111551121.1A CN202111551121A CN114528672A CN 114528672 A CN114528672 A CN 114528672A CN 202111551121 A CN202111551121 A CN 202111551121A CN 114528672 A CN114528672 A CN 114528672A
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station network
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张利茹
李辉
贺永会
韩继伟
谷莹莹
戴佳琦
邵军
唐跃平
符伟杰
王岩
智永明
王岑晔
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Nanjing Water Conservancy and Hydrology Automatization Institute Ministry of Water Resources
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Abstract

The invention provides a 3S technology-based urban hydrological station network layout method and a system, wherein the method comprises the following steps: establishing an urban rainstorm high-risk model; establishing an urban flood risk model; establishing a vulnerability model of an urban disaster-bearing body; and establishing a city hydrology station network planning demand index model. The method is based on remote sensing data, land utilization type data, historical disaster situation data and a 3S technology, 3 aspects of urban rainstorm high-risk zoning, flood risk zoning and vulnerability of disaster-bearing bodies are analyzed in detail respectively, and then a hydrological station network layout demand index model is comprehensively considered from the perspective of data fusion to carry out overall optimized layout of the hydrological station network, so that the specific layout position of the hydrological station network can be accurately, quickly and intelligently determined.

Description

Urban hydrological station network layout method and system based on 3S technology
Technical Field
The invention belongs to the technical field of hydrological monitoring, and particularly relates to a 3S technology-based urban hydrological station network layout method and system.
Background
The hydrological station network is the basis of hydrological monitoring work and directly provides necessary water and rain information for hydrological work and even water conservancy work. At present, a hydrological element observation station network for recognizing the hydrological law of a drainage basin is preliminarily established in China, various hydrological observation stations are developed from 353 place of the beginning of new China to 119914 place of 2020, a large amount of hydrological information is provided for national economic construction, an important role is played, hydrological monitoring of large rivers, main branches of the large rivers and small and medium rivers with flood control tasks is comprehensively covered, and the hydrological monitoring of the small and medium rivers extends to the field of water resource water ecological water environment.
However, the existing monitoring system of the observation station network is imperfect, the existing monitoring station network mainly serves for accumulation of river and lake hydrology basic data and flood prevention and drought control, the comprehensive monitoring capabilities of water resource management, water ecological protection, water and soil conservation, water environment protection and the like are relatively weak, and the monitoring system has a large difference with the management requirements of water resources, water ecology and water environment. In addition, the influence of climate change and high-strength human activities influences the functions and observation modes of the observation station network, especially in urban areas, the actual rain and water information cannot be reflected according to the monitoring information obtained by the hydrological monitoring station network distributed in the traditional hydrological station network planning technical guide, and the network layout of the hydrological monitoring station cannot meet the requirements of urban hydrological research. With the continuous development of hydrological research, various requirements are also continuously improved, measures of reinforcing forecasting, early warning, previewing and planning 'four predictions' are required, monitoring, analysis and study and judgment of real-time rainwater condition information are enhanced, scientific and technological introduction is reinforced, the establishment of a river basin flood 'sky, earth and ground' integrated monitoring system is promoted, and a digital river basin is constructed. On the basis, the construction of a national hydrological station network is accelerated, the hydrological law analysis and research are enhanced, and the hydrological monitoring capability is improved. Therefore, there is an increasing need to take various factors into consideration to lay and optimally adjust the network of hydrological observation stations. However, a relatively accurate and effective method for laying a hydrological station network is still lacking in the prior art.
Disclosure of Invention
In order to solve the problems, the invention discloses a 3S technology-based urban hydrological station network layout method and system, which can quickly and accurately determine the hydrographic station layout place without accurate field survey. The station network demand index is obtained on the basis of the remote sensing data, the land utilization type data and the historical disaster data on the basis of the rainstorm flood disaster risk division in the city of the research area, then on the basis of the existing hydrological station network layout in the research area, the station network layout points are increased according to the obtained station network demand index suggestions on the basis of the GIS space analysis technology and the comprehensive consideration of various factors such as the station network density, the administrative management and the like in the research area, and technical support is provided for a planning designer so as to quickly and accurately carry out overall optimization on the existing hydrological station network layout.
In order to achieve the purpose, the technical scheme of the invention is as follows:
the urban hydrological station network layout method based on the 3S technology comprises the following steps:
the method comprises the following steps: building urban rainstorm high risk model
Selecting a MODISMODLT1M ground surface temperature Chinese synthetic product, obtaining ground surface temperature data of a research area by cutting, carrying out statistical calculation on the obtained temperature data, finally obtaining ground surface temperature data of the research area, obtaining ground surface temperature distribution, representing urban rainstorm spatial distribution by using the ground surface temperature distribution, and calculating by using the following formula:
VH＝DN×0.02-273.15 (1)
in the formula, DN is the gray value of the pixel, 0.02 is the radiation scaling ratio, and-273.15 is the cloud mask value;
step two: establishing urban flood risk model
Supposing that urban design rainstorm and design flood are in the same frequency, the design flood of the urban area under the corresponding frequency is calculated according to the urban area rainstorm frequency analysis result and the established rainfall flood simulation model, considering that the urban area is extremely complicated relative to the terrain structure of a natural drainage basin, the urban area has a large blocking effect on rainfall runoff, the condition that the rainfall runoff flows randomly in a research area cannot occur, the research area is divided into a plurality of sub-areas according to a drainage sheet area, and flood simulation is carried out on each sub-area;
according to the topographic distribution condition of a research area, simulating the risk of rainstorm waterlogging by using the principle that the total accumulated water volume of a certain time step is equal to the total accumulated water volume in the water submerging range of the time step, wherein the calculation formula is as follows:
Figure BDA0003417227580000021
wherein A is the water accumulation zone, Ew(x, y) is the elevation of the surface of the ponding water, Eg(x, y) is the ground elevation, and d sigma is the area infinitesimal of the ponding area;
step three: model for establishing vulnerability of urban disaster-bearing body
A method for combining refined land types with historical disaster data is adopted, and a disaster-bearing body vulnerability model is established as follows:
VS＝ωg·A+ωp·B (3)
in the formula, ωgIs the economic loss factor, omegapIs a loss-prone factor for the population; a is economicThe damage index is obtained by comparing every two damage values of unit areas of different land types under different flood disasters, and then calculating the average value of the economic damage indexes of different land utilization types by utilizing an analytic hierarchy process; b is a population loss index, and similarly, the value is obtained by comparing every two population losses of different land types per unit area under the flood disasters of different times and then calculating the average value of the population loss indexes of different land use types by using a hierarchical analysis method;
step four: establishing urban hydrological station network plan
Combining the analysis of 3 aspects of high urban rainstorm risk, flood risk and vulnerability of disaster-bearing bodies, comprehensively considering a hydrologic station network layout demand index model from the perspective of data fusion, and establishing an urban hydrologic station network layout model as follows:
Figure BDA0003417227580000031
respectively endowing different weighted values to three evaluation factors of high rainstorm risk, flood risk and vulnerability of a disaster-bearing body, and then calculating according to the constructed urban hydrological station network planning demand index model:
FDRI＝(wh·VH)(we·VE)(ws·VS) (5)
in the above formula, FDRI is an urban station network planning demand index, VH, VE, and VS respectively represent index values of three evaluation factors in an urban station network planning demand index model, and wh, we, and ws are weight values corresponding to the evaluation factors respectively.
Further, the fourth step further includes: and (3) calculating by using the urban station network planning demand index model and by using a GIS spatial analysis technology and combining the results obtained in the first step to the third step to obtain an urban hydrological station network demand index distribution diagram, and performing overall optimized layout of the urban hydrological station networks in Zhenjiang cities based on the hydrological station network demand index distribution diagram and the GIS spatial analysis technology.
Further, in the fourth step, the weight value range corresponding to each factor is between 0 and 1.
The urban hydrological station network layout system based on the 3S technology is characterized by being used for realizing the urban hydrological station network layout method based on the 3S technology in any one of claims 1 to 3, and comprising the following steps: the system comprises a factor weight module, a rainstorm risk module, a flood risk calculation module and a disaster-bearing body vulnerability module, wherein the factor weight module is used for realizing the fourth function in the step of the urban hydrological station network arrangement method based on the 3S technology, the rainstorm risk module is used for realizing the first function in the step of the urban hydrological station network arrangement method based on the 3S technology, the flood risk calculation module is used for realizing the second function in the step of the urban hydrological station network arrangement method based on the 3S technology, and the disaster-bearing body vulnerability module is used for realizing the third function in the step of the urban hydrological station network arrangement method based on the 3S technology.
The invention has the beneficial effects that:
1. the method provided by the invention is based on Remote sensing data, land utilization type data, historical disaster data and 3S technology (the 3S technology is a general name of Remote sensing technology (RS), Geographic Information Systems (GIS) and Global Positioning Systems (GPS), and is a modern information technology combining space technology, sensor technology, satellite positioning and navigation technology, computer technology and communication technology, and collecting, processing, managing, analyzing, expressing, spreading and applying the space information with multidisciplinary high integration, and the method carries out detailed analysis from 3 aspects of urban rainstorm high risk division, waterlogging risk division and flood-bearing body vulnerability respectively, and then comprehensively considers a hydrological station network layout demand index model from the perspective of data fusion to carry out hydrological station network overall optimization layout, thereby realizing time and labor saving, and realizing, An accurate and efficient urban hydrological station network layout scheme.
2. The method can accurately, quickly and intelligently determine the specific arrangement position of the hydrological station network, saves much time and manpower required by field investigation compared with the traditional hydrological station network arrangement method, and has accurate and reliable results.
Drawings
FIG. 1 is a high-risk area division diagram of torrential rain in Zhenjiang cities;
FIG. 2 is a flood flooding map of the city of Zhenjiang;
FIG. 3 is a graph showing vulnerability of disaster bodies in Zhenjiang cities;
FIG. 4 is a diagram of demand indexes of hydrological station networks in Zhenjiang urban areas;
fig. 5 is a diagram of the arrangement of the hydrological station nets in the Zhenjiang urban area.
Detailed Description
The technical solutions provided by the present invention will be described in detail with reference to specific examples, and it should be understood that the following specific embodiments are only illustrative and not intended to limit the scope of the present invention. The methods provided by the present invention may be performed in a computer system, such as a set of computer-executable instructions.
The urban hydrological station network layout method based on the 3S technology comprises the following steps
The method comprises the following steps: urban rainstorm high risk zoning
The expansion of the impervious surface of the city can increase the heat storage bodies such as buildings, roads and the like in the city, and simultaneously, the vegetation and the green land are reduced, so that the air temperature of the urban area is increased, and the urban heat island effect is caused. In urban expansion areas, the temperature near the ground is continuously rising all year round. It is believed that the thermal forcing of cities is beneficial to the maintenance of convective precipitation, i.e. the effect of urban heat islands is to influence the precipitation process in areas in addition to raising the temperature in urban areas.
Firstly, the consistency detection of the ground temperature distribution inverted by a medium-resolution imaging spectrometer (MODIS) Chinese regional temperature synthesis product and the ground temperature distribution obtained by adopting the corresponding ground station network observation data interpolation is analyzed, and the conclusion can be obtained: inversion of the earth temperature using MODIS is feasible. And then selecting a Chinese 1KM earth surface temperature monthly synthetic product (MODISMODLT1M) with the geographic coordinate of WGS-84, extracting earth surface temperature data of a research area in a GIS according to the range of the research area, and performing statistical calculation on the obtained temperature data to finally obtain the earth surface temperature data of the research area. Since the original data is a grid image, the urban area and the suburb can be divided by the boundary of the urban area and the suburb, and the temperature of the urban area and the suburb is divided and calculated separately. We have found that the "urban heat island" effect causes the temperature rise in urban areas to be more pronounced in summer and the buildings to be more temperature sustainable at night. And finally, analyzing whether the correlation exists between the summer urban heat island and summer rainfall by adopting a Pearson product-moment correlation coefficient method. The research result shows that the value of the inspection quantity T obtained by the Pearson correlation coefficient r passes the T inspection with the confidence coefficient of 90 percent, and the strong correlation between the urban heat island effect and summer rainfall exists. Therefore, it is considered that the urban rainstorm spatial distribution can be characterized by the ground temperature distribution characteristics, and the calculation is carried out by the following formula.
VH＝DN×0.02-273.15 (1)
In the formula, DN is the gray value of the pixel, 0.02 is the radiation scaling ratio, and-273.15 is the cloud mask value.
In the invention, the urban area of Zhenjiang city is taken as an example, and a storm high-risk zoning map of the urban area of Zhenjiang city shown in figure 1 is obtained through analysis and calculation.
Step two: establishing urban flood risk model
The method can simulate the risk of rainstorm waterlogging by using the principle that the total accumulated water volume of a certain time step is equal to the total accumulated water volume in the accumulated water submerging range of the time step according to the topographic distribution condition of a research area, and the calculation formula is as follows:
Figure BDA0003417227580000051
wherein A is the water accumulation zone, Ew(x, y) is the elevation of the surface of the ponding water, Eg(x, y) is the ground elevation, and d sigma is the area infinitesimal of the ponding area.
Considering that the flow rate of urban rainstorm waterlogging water is small, the water surface can be approximated and simplified so as to be convenient for calculation, and the water surface is approximated and simplified into a plane. Equation (2) is simplified to:
Figure BDA0003417227580000052
in the formula EwProduct unified for whole areaWater surface elevation. This value is solved here by means of discrete regions of investigation. And dispersing the whole ponding area A into a plurality of grid areas, and assigning values to the ground elevation grid by utilizing spatial interpolation. The discrete post-upper formula can be:
Figure BDA0003417227580000053
wherein Δ σ is the area of the grid, N is the total number of grids in the stagnant water region, Eg(i) Is the elevation of the ith grid. When the grid area is small enough, the closer this equation is to the above equation. The unknowns at this time are N and EwAnd the N parameter may pass through EwAnd EgObtaining the relation of (A) and (B) by dividing the elevation E of the surface of the ponding water by twowAnd (6) solving. First, define EwValue range (E)min,Emax) Ensure EminIs not greater than the minimum value of the ground elevation of the investigation region, EmaxNot less than the sum of the maximum elevation of the ground and the height of rainfall in the period, and at the moment, E is setwInitial value of (E)ave＝(Emin+Emax) And/2, bringing the value into a formula, and performing summation calculation on the grid of the whole research area. If Ew-Eg(i) > 0, i.e. at Ew＝EaveWhen water accumulates in the grid, W increases [ E ]w-Eg(i)]Δ σ, and Ew-Eg(i) If the W value is less than or equal to 0, the grid has no accumulated water, and the W value is not increased. E can be obtained after all grids in the research area are calculatedw＝EaveThe value of the total water volume W in the water accumulation submergence range. Comparing W with the total accumulated water quantity P obtained through the runoff yield simulation, if P-W is larger than 0, indicating that the set accumulated water surface elevation is low, and then resetting the accumulated water surface elevation, wherein the specific implementation method comprises the following steps: emin＝Eave，Eave＝(Emin+Emax) 2, recalculating Ew＝EaveThe value of the total water volume W within the ponding submergence range under (1); if P-W is less than 0, the set elevation of the ponding water surface is higher, and then the elevation of the ponding water surface is reset, wherein the specific implementation method comprises the following steps: emax＝Eave，Eave＝(Emin+Emax)/2. The values of P and W are gradually approximated by the calculation method until the difference value is smaller than the allowable error, and finally the elevation E of the water surface of the ponding water is obtainedw。
And finally, calculating the distribution condition of the accumulated water in the research area, wherein the specific method comprises the steps of judging the grids, and if E is the casew-EgIf the water depth is more than 0, the grid area is provided with accumulated water, and the accumulated water depth is assigned to D-Ew-Eg(ii) a If Ew-EgIf the water depth is less than 0, the grid area has no accumulated water, and the accumulated water depth is assigned to be 0. By the method, all grids in the research area are calculated once, and the spatial distribution data of the accumulated water in the research area are obtained.
The invention takes the city and the district of Zhenjiang city as an example, and obtains flood inundation maps of 5, 10, 20, 50 and 100 years old in the city and the district of Zhenjiang city by model calculation and GIS space analysis technology. The research results of the 5 graphs show that the waterlogging points of the Zhenjiang city have 5 positions and have smaller waterlogging area in 5 years, the waterlogging points of the Zhenjiang city have 5 positions in 10 years and 20 years but have obviously increased water collecting area, the waterlogging points of the Zhenjiang city increase to 6 positions in 50 years, the waterlogging areas of the Zhenjiang city continue to increase, and the waterlogging points of the Zhenjiang city increase to 7 positions in 100 years and have larger water collecting area. Due to the limitation of the chapter, only the urban flood inundation map of Zhenjiang city in 100 years is shown in figure 2.
Step three: model for establishing vulnerability of urban disaster-bearing body
Most researchers can analyze vulnerability of disaster-bearing bodies on the aspect of personnel and property from the possible flood disasters, but because the result obtained by the method is rough and does not accord with the actual vulnerability, the invention provides a method for calculating the vulnerability of the disaster-bearing bodies by combining refined land types and historical disaster data.
The loss in disaster data can be divided into two cases, one is loss which can be measured by wealth, and the other is loss of human mouth. Respectively calculating coefficients of two losses on different land types by using an improved analytic hierarchy process, generating an economic vulnerability and population vulnerability distribution diagram according to the coefficients, and constructing a vulnerability model of a disaster bearing body as follows:
VS＝ωg·A+ωp·B (5)
in the formula, ωgIs the economic loss factor, omegapIs a factor of loss of population. In the model, the economic loss and the population loss are considered to be equally important in the flood damage assessment of any field, so that the vulnerable loss coefficients are respectively 0.5; a is an economic loss index. The value is compared pairwise according to unit area disaster damage values of different land types under different field flood disasters, and then the average value of economic vulnerability indexes of different land utilization types is calculated by using a hierarchical analysis method; b is the loss of population index. Similarly, the value is obtained by comparing every two population losses per unit area of different land types under flood disasters of different times, and then calculating by using an analytic hierarchy process to obtain an average value of the population vulnerability indexes of different land utilization types.
In the invention, by taking the city of Zhenjiang city as an example, the vulnerability distribution diagram of disaster-bearing bodies in the city of Zhenjiang city shown in FIG. 3 is obtained through a model algorithm and a 3S technology.
Step four: urban hydrological station network planning
The urban hydrological station network layout method provides a hydrological station network layout demand index model comprehensively considered from the perspective of data fusion by combining the analysis of 3 aspects of urban rainstorm high risk, flood risk and vulnerability of disaster-bearing bodies, and the urban hydrological station network layout model is as follows:
Figure BDA0003417227580000071
considering that the importance of three evaluation factors, namely a high rainstorm risk, a flood risk and vulnerability of a disaster-bearing body, to station network planning is possibly different, different weight values are respectively given to the evaluation factors, and then calculation is carried out according to the constructed urban hydrology station network planning demand index model:
FDRI＝(wh·VH)(we·VE)(ws·VS) (7)
in the formula: the FDRI is a planning demand index of the urban station network, and the larger the value of the FDRI is, the higher the station network setting demand degree is. VH, VE and VS respectively represent index values of three evaluation factors in the urban station network planning model, wh, we and ws respectively represent weight values corresponding to the evaluation factors, and the size of the weight values is between 0 and 1. And (3) constructing a judgment matrix by using a hierarchical analysis method principle according to the weight values of three evaluation factors in the urban station network planning demand index model, and then calculating. In the invention, the township city and city are taken as an example, the demand index model of city station network planning is calculated by utilizing a GIS space analysis technology and combining the results obtained in the first step to the third step, and the township city and city hydrological station network demand index map shown in figure 4 is obtained.
Based on the distribution diagram of the demand indexes of the hydrological station networks in the township cities obtained in the above steps, based on a GIS spatial analysis technology, the distribution diagram of the hydrological station networks in the township cities is laid by combining the existing station network density and administrative management consideration of the township cities, and finally the distribution diagram of the overall optimized distribution of the hydrological station networks in the township cities as shown in fig. 5 is obtained.
And finally, an interactive service system which integrates data batch import and processing, model operation and product manufacturing is developed, the interface is friendly, the flow is simple, the use of a station network manager is facilitated, manual operation is changed into automatic operation, the labor efficiency is increased, the change from no platform to platform is realized, the service requirement is met, and the planning level of the urban hydrology station network is promoted. And presenting the steps in a modularized mode to construct a planning system of the urban hydrological station network. The urban hydrological station network planning system consists of four modules, namely factor weight calculation, rainstorm high risk, flood risk calculation and vulnerability of disaster-bearing bodies. The factor weight module, the rainstorm risk module, the flood risk calculation module and the disaster-bearing body vulnerability module are respectively compiled according to a hierarchical analysis theoretical model, a rainstorm high risk model, a flood risk calculation model and a disaster-bearing body vulnerability model, and finally form the urban hydrological station network layout system. Specifically, the rainstorm risk module, the flood risk calculation module and the disaster-bearing body vulnerability module are respectively used for realizing the functions of the first step, the second step and the third step, and the factor weight calculation is used for realizing the function of the fourth step. The weight of the hierarchical analysis theoretical model is determined by constructing a judgment matrix, solving the characteristic vector of the hierarchical analysis theoretical model according to the matrix, then carrying out normalization processing on the characteristic vector to obtain the weight value of each evaluation factor, and finally carrying out consistency check on the judgment matrix to ensure the credibility of the weight of the solved factor, and judging the consistency of the matrix by using consistency ratio.
It should be noted that the above-mentioned contents only illustrate the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and it is obvious to those skilled in the art that several modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations fall within the protection scope of the claims of the present invention.

Claims (4)

1. The urban hydrological station network layout method based on the 3S technology is characterized by comprising the following steps of:
the method comprises the following steps: building urban rainstorm high risk model
Selecting a Chinese synthetic product with MODIS MODLT1M earth surface temperature, obtaining earth surface temperature data of a research area by cutting, performing statistical calculation on the obtained temperature data, finally obtaining earth surface temperature data of the research area, obtaining earth surface temperature distribution, representing urban rainstorm space distribution by using the earth surface temperature distribution, and calculating by using the following formula:
VH＝DN×0.02-273.15 (1)
in the formula, DN is the gray value of the pixel, 0.02 is the radiation scaling ratio, and-273.15 is the cloud mask value;
step two: establishing urban flood risk model
Assuming that urban design rainstorm and design flood are in the same frequency, the design flood of the urban area under the corresponding frequency is calculated according to the urban area rainstorm frequency analysis result and the established rainfall flood simulation model, considering that the urban area is very complex relative to the terrain structure of a natural drainage basin, has a large blocking effect on rainfall runoff, does not have the condition that the rainfall runoff flows randomly in a research area, dividing the research area into a plurality of sub-areas according to a drainage sheet area, and carrying out flood simulation on each sub-area;
according to the topographic distribution condition of a research area, simulating the risk of rainstorm waterlogging by using the principle that the total accumulated water volume of a certain time step is equal to the total accumulated water volume in the water submerging range of the time step, wherein the calculation formula is as follows:
Figure FDA0003417227570000011
wherein A is the water accumulation zone, Ew(x, y) is the elevation of the surface of the ponding water, Eg(x, y) is the ground elevation, and d sigma is the area infinitesimal of the ponding area;
step three: model for establishing vulnerability of urban disaster-bearing body
A method for combining refined land types with historical disaster data is adopted, and a disaster-bearing body vulnerability model is established as follows:
VS＝ωg·A+ωp·B (3)
in the formula, ωgIs the economic loss factor, omegapIs a loss-prone factor for the population; a is an economic vulnerability index, the value is obtained by comparing every two different land type unit area disaster damage values under different flood disasters, and then calculating by utilizing an analytic hierarchy process to obtain the average value of the economic vulnerability indexes of different land utilization types; b is a population vulnerability index, and similarly, the value is obtained by comparing every two population vulnerabilities of different land types in unit area under flood disasters of different times and then calculating by using an analytic hierarchy process to obtain an average value of the population vulnerability indexes of the different land use types;
step four: establishing urban hydrological station network plan
Combining the analysis of 3 aspects of high urban rainstorm risk, flood risk and vulnerability of disaster-bearing bodies, comprehensively considering the hydrologic station network layout demand index model from the perspective of data fusion, and establishing the urban hydrologic station network layout model as follows:
Figure FDA0003417227570000021
respectively endowing different weighted values to three evaluation factors of high rainstorm risk, flood risk and vulnerability of a disaster-bearing body, and then calculating according to the constructed urban hydrological station network planning demand index model:
FDRI＝(wh·VH)(we·VE)(ws·VS) (5)
in the above formula, FDRI is an urban station network planning demand index, VH, VE, and VS respectively represent index values of three evaluation factors in an urban station network planning demand index model, and wh, we, and ws are weight values corresponding to the evaluation factors respectively.
2. The urban hydrology station network layout method based on 3S technology as claimed in claim 1, wherein said fourth step further comprises: and (3) calculating by using the urban station network planning demand index model and by using a GIS technology and combining the results obtained in the first step to the third step to obtain a hydrological station network demand index map, and laying the urban hydrological station networks in Zhenjiang cities based on the hydrological station network demand index map and the GIS space analysis technology.
3. The urban hydrological station network layout method based on the 3S technology according to claim 1, wherein in the fourth step, the weight value range corresponding to each factor is between 0 and 1.
4. The urban hydrological station network layout system based on the 3S technology is characterized by being used for realizing the urban hydrological station network layout method based on the 3S technology in any one of claims 1 to 3, and comprising the following steps: the system comprises a factor weight module, a rainstorm risk module, a flood risk calculation module and a disaster-bearing body vulnerability module, wherein the factor weight module is used for realizing the fourth function in the step of the urban hydrological station network layout method based on the 3S technology, the rainstorm risk module is used for realizing the first function in the step of the urban hydrological station network layout method based on the 3S technology, the flood risk calculation module is used for realizing the second function in the step of the urban hydrological station network layout method based on the 3S technology, and the disaster-bearing body vulnerability module is used for realizing the third function in the step of the urban hydrological station network layout method based on the 3S technology.
CN202111551121.1A 2021-12-17 2021-12-17 Urban hydrological station network layout method and system based on 3S technology Pending CN114528672A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115169938A (en) * 2022-07-21 2022-10-11 河南省气候中心(河南省气候变化监测评估中心) Regional rainstorm disaster risk assessment method
CN116737989A (en) * 2023-06-13 2023-09-12 长江水利委员会水文局 Urban surface hydrologic monitoring network construction method based on video image

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115169938A (en) * 2022-07-21 2022-10-11 河南省气候中心(河南省气候变化监测评估中心) Regional rainstorm disaster risk assessment method
CN116737989A (en) * 2023-06-13 2023-09-12 长江水利委员会水文局 Urban surface hydrologic monitoring network construction method based on video image
CN116737989B (en) * 2023-06-13 2024-03-01 长江水利委员会水文局 Urban surface hydrologic monitoring network construction method based on video image

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