LU505015B1 - Method and System for Analyzing Flow Capacity of River Channel Based on Geospatial Recognition, and Device - Google Patents
Method and System for Analyzing Flow Capacity of River Channel Based on Geospatial Recognition, and Device Download PDFInfo
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- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Abstract
The present invention relates to the field of river channel risk analysis, and in particular to a method and system for analysing the flow capacity of a river channel based on geospatial recognition, and a device. The solution includes: shooting village houses on both sides of a river channel by an unmanned aerial vehicle to form a house building type and a structural form; obtaining an elevation, a horizontal distance and a building comprehensive distance of each house; calculating a comprehensive vulnerability index of each village house according to a building type, a structural form and a comprehensive distance of each house; calculating a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient; extracting a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculating a flood detention index; extracting the area of a bottomland and the area of a population gathering region, and calculating an extreme flood rise rate; and calculating a comprehensive flow capacity index of the river channel. According to the solution, the flow capacity index of the river channel is obtained through the comprehensive vulnerability feature of the riverfront village houses on both sides of the river channel and in combination with the flood flowing capacity, the flood detention capacity and the extreme flood rise rate.
Description
Description 17505015
Method and System for Analyzing Flow Capacity of River Channel
Based on Geospatial Recognition, and Device
The present invention relates to the technical field of river channel risk analysis, and in particular to a method and system for analyzing the flow capacity of a river channel based on geospatial recognition, and a device.
Generally, a large number of residents live along both sides of a river, so there will be a large number of towns and villages gathered. In a case of insufficient flow capacity of a river channel, residents on both sides of the river channel may be affected. In a case that the risk is predetermined in advance, the risk may be informed in time, thereby reducing possible casualties and property losses. In a case of insufficient flow capacity of the river channel and high risk, in extreme rainstorm, floodwater will flood the plain and flow to the road because the river channel flood is difficult to discharge and the discharge capacity is insufficient, resulting in house flooding. In a case that people are not transferred in time, life will be threatened seriously.
Before the technology of the present invention, the flow capacity of the river channel is analyzed mainly based on the flood flowing capacity of the river channel, without considering the building index of a residential place on both sides of the river channel and without combining with the flood detention capacity and the characteristics (flood volume and flood rise rate) of extreme flood for comprehensive analysis, that is, lacking of consideration and analysis of the comprehensive flow capacity of the river !
channel. 7505075
In view of the above problems, the present invention provides a method and system for analyzing the flow capacity of a river channel based on geospatial recognition, and a device. A flow capacity index of the river channel is comprehensively obtained through a house building type and a structural form of riverfront villages along both sides of the river channel and in combination with flood flowing capacity, flood detention capacity and an extreme flood rise rate,
According to a first aspect of embodiments of the present invention, a method for analyzing the flow capacity of a river channel based on geospatial recognition is provided.
In one or more embodiments, preferably, the method for analyzing the flow capacity of the river channel based on geospatial recognition includes: shooting village houses on both sides of a river channel by an unmanned aerial vehicle to obtain an image of each village house and form a house building type and a structural form of each village house; obtaining an elevation and a horizontal distance of each village house according to the image of each village house, and calculating a building comprehensive distance of each village house; calculating a comprehensive vulnerability index of each village house according to a house building type, a structural form and a comprehensive distance of each village house; calculating a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient; 2 extracting a downstream river channel narrowing coefficient and a river channel slope 17505015 variation coefficient according to satellite remote sensing image data, and calculating a flood detention index; extracting and calculating the area of a bottomiand and the area of a population gathering region, and calculating an extreme flood rise rate; and calculating a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate.
In one or more embodiments, preferably, shooting the village houses on both sides of the river channel by the unmanned aerial vehicle to obtain the image of each village house and form the house building type and the structural form of each village house specifically includes: shooting village houses on both sides of the river channel so as to obtain the image of each village house; determining a floor height of a building according to the image of each village house and saving the floor height as a building type; and determining a structural form of the building according to the image of each village house, and saving the structural form as a structural form, wherein the structural form includes reinforced concrete, brick concrete, brick wood and earth wood.
In one or more embodiments, preferably, obtaining the elevation and the horizontal distance of each village house according to the image of each village house, and calculating the building comprehensive distance of each village house specifically includes: measuring an elevation from each village house to a river bottom according to the image of each village house; measuring a horizontal distance from each village house to a river network according 3 to the image of each village house; and 7505015 setting a height conversion ratio, and calculating the building comprehensive distance of each village house by a first calculation formula, wherein the first calculation formula is:
SAG) wherein J is the building comprehensive distance, Ç is the height conversion ratio, Ji is the elevation, and .Z is the horizontal distance.
In one or more embodiments, preferably, calculating the comprehensive vulnerability index of each village house according to the house building type, the structural form, and the comprehensive distance of each village house specifically includes: setting a first vulnerability coefficient, a second vulnerability coefficient and a third vulnerability coefficient; and according to the house building type and the structural form of each village house and in combination with the building comprehensive distance, calculating the comprehensive vulnerability index of each village house by respectively using a second calculation formula, wherein the second calculation formula is:
Y=KiC+KaL+ K3 J; wherein Ÿ is the comprehensive vulnerability index, C is a building type index, L is a structural form index, Ki is the first vulnerability coefficient, K is the second vulnerability coefficient, and Kx is the third vulnerability coefficient.
In one or more embodiments, preferably, calculating the flood flowing index according to the river channel section, the deposition area and the river channel channelization coefficient specifically includes: acquiring a river channel channelization coefficient, sectional area and drainage basin 4 area according to the currently acquired data, 7505075 wherein the deposition area is the area that affects a flood flowing channel in the river channel and is expressed by the cross-sectional area of a deposition body; determining the comprehensive vulnerability indexes of the houses associated with the river channel one by one according to the comprehensive vulnerability index of each village house, and in a case that the sum of the comprehensive vulnerability indexes associated with the river channel is greater than or equal to 15, marking each village house corresponding to the river channel as a collapsed building; in a case that no collapsed building is present, calculating the flood flowing index by a third calculation formula; and in a case that the collapsed building is present, calculating the flood flowing index by a fourth calculation formula, wherein the third calculation formula is:
X=D/L-CQ VID +H, j=l wherein D is the sectional area, L is the drainage basin area, Vj is the total area of the deposition body, pı is a first empirical attenuation coefficient, and Hc is the river channel channelization coefficient; and the fourth calculation formula is:
F
X=D/L-S P,1 DSP +H, jet wherein X is the flood flowing index, 7 is the total number of collapsed buildings, / is the serial number of the collapsed buildings, ¥; is the congestion area generated after the collapse of the /* collapsed building, and Sy is the area of the deposition body.
In one or more embodiments, preferably, extracting the downstream river channel narrowing coefficient and the river channel slope variation coefficient according to the satellite remote sensing image data, and calculating the flood detention index 5 specifically includes: 17505015 according to the satellite remote sensing image data, calculating the downstream river channel narrowing coefficient by a fifth calculation formula: according to the satellite remote sensing image data, calculating the average slope of the downstream river channel by a sixth calculation formula; and calculating the flood detention index by a seventh calculation formula, wherein the fifth calculation formula is:
Fi=Kxy /Ksy wherein Fı is the downstream river channel narrowing coefficient, Kxy is a width of an outlet section of the downstream river channel, and Ksy is a width of an outlet section of the upstream river channel; the sixth calculation formula is:
F2 =Pxy Psy wherein F2 is the river channel slope variation coefficient, Pxy is an average slope of the downstream river channel, and Psy is an average slope of the upstream river channel; and the seventh calculation formula is:
Zu” K3F;- KaFz wherein Za is the flood detention index, Fy is the downstream river channel narrowing coefficient, F2 is the river channel slope variation coefficient, Æ3 is a first flood detention coefficient, and Æ4 is à second flood detention coefficient.
In one or more embodiments, preferably, extracting and calculating the area of the bottomland and the area of the population gathering region, and calculating the extreme flood rise rate specifically includes: extracting the area of the bottomland and the area of the population gathering region according to the satellite remote sensing image data; and 6 calculating the extreme flood rise rate by an eighth calculation formula, 17505015 wherein the eighth calculation formula is:
Vu=(TDILYY wherein F,p is the extreme flood rise rate, 7D is the area of the bottomland, LY is the area of the population gathering region, and à is a rise coefficient.
In one or more embodiments, preferably, calculating the comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate specifically includes: obtaining the flood flowing index, the flood detention index and the extreme flood rise rate; and calculating the comprehensive flow capacity index of the river channel by a ninth calculation formula, wherein the ninth calculation formula is:
Hz Kalkar ZF Vig wherein H, is the comprehensive flow capacity index of the river channel, Æ, is the flood flowing coefficient, A is the extreme flood rise rate coefficient, Zu is the flood detention index, and Æ,1 is a flood detention coefficient.
According to a second aspect of embodiments of the present invention, a system for analyzing the flow capacity of a river channel based on geospatial recognition is provided.
In one or more embodiments, preferably, the system for analyzing the flow capacity of the river channel based on geospatial recognition includes: an information acquisition module, configured to shoot village houses on both sides of a river channel by an unmanned aerial vehicle to obtain an image of each village 7 house and form a house building type and a structural form of each village house; 7505015 a distance analysis module, configured to obtain an elevation and a horizontal distance of each village house according to the image of each village house, and calculate a building comprehensive distance of each village house; a vulnerability analysis module, configured to calculate a comprehensive vulnerability index of each village house according to a house building type, a structural form and a comprehensive distance of each village house; a flood flowing operation module, configured to calculate a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient; a flood detention operation module, configured to acquire a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculate a flood detention index; an extreme flood operation module, configured to extract and calculate the area of a bottomland and the area of a population gathering region, and calculate an extreme flood rise rate: and a comprehensive flow capacity analysis module, configured to calculate a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate.
According to a third aspect of embodiments of the present invention, an electronic device is provided and includes a memory and a processor, the memory is configured to store one or more computer program instructions, and the one or more computer program instructions are executed by the processor to implement the method according to any one of the first aspect of the embodiments of the present invention.
The technical solutions provided by the embodiments of the present invention may 8 include the following beneficial effects: 7505075 in the solution. of the present invention, the comprehensive vulnerability index of the house building is effectively obtained through on-line analysis of the house building type and structural form of the riverfront villages along both sides of the river channel and in combination with the building comprehensive distance of the village houses.
In the solution of the present invention, the comprehensive flow capacity under different vulnerability indexes is obtained in combination with the flow flowing capacity, the flood detention capacity and the extreme flood rise rate of the river channel.
Other features and advantages of the present invention will be described in the following description, and some of these will become apparent from the description or be understood by implementing the present invention. The objectives and other advantages of the present invention can be implemented or obtained by structures specifically indicated in the written description, claims, and accompanying drawings.
The technical solution of the present invention is further described in detail below with reference to the accompanying drawings and embodiments.
In order to more clearly describe the technical solutions of the embodiments of the present invention, the accompanying drawings required to describe the embodiments are briefly described below. Apparently, the accompanying drawings described below are only some embodiments of the present invention. Those skilled in the art may further obtain other accompanying drawings based on these accompanying drawings without inventive effort. 9
FIG. 1 is a flowchart of a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 2 is a flowchart of shooting village houses on both sides of a river channel by an unmanned aerial vehicle to obtain an image of each village house and form a house building type and a structural form of each village house in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 3 is a flowchart of obtaining an elevation and a horizontal distance of cach village house according to the image of each village house, and calculating a building comprehensive distance of each village house in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 4 is a flowchart of calculating a comprehensive vulnerability index of each village house according to a house building type, a structural form and a comprehensive distance of each village house in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 5 is a flowchart of calculating a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 6 is a flowchart of extracting a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculating a flood detention index in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 7 is a flowchart of extracting and calculating the area of a bottomland and the 17505015 area of a population gathering region, and calculating an extreme flood rise rate in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention:
FIG. 8 is a flowchart of calculating a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention;
FIG. 9 is a structural diagram of a system for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention; and
FIG. 10 is a structural diagram of an electronic device according to an embodiment of the present invention.
A plurality of operations occurring according to a specific sequence are included in some processes described in the description, claims and accompanying drawings of the present invention, but it should be clearly understood that these operations may be performed out of the order appearing in the specification or may be performed in parallel. The serial numbers, such as 101 and 102, of the operations are only used for distinguishing different operations and do not represent any performing order. In addition, these processes may include more or fewer operations, and these operations may be performed in order or in parallel. It should be noted that the descriptions, such as “first” and “second”, in the specification are used for distinguishing different messages, devices and modules, do not represent the sequence, and do not limit that “first” and “second” are different. u
The following clearly and completely describes the technical solutions in the 17505015 embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention, Apparently, the described embodiments are merely a part rather than all of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments. of the present invention without creative efforts shall fail within the protection scope of the present invention.
Generally, a large number of residents live along both sides of a river, so there will be a large number of towns and villages gathered. In a case of insufficient flow capacity of a river channel, residents on both sides of the river channel may be affected. In a case that the risk is predetermined in advance, the risk may be informed in time, thereby reducing possible casualties and property losses. In a case of insufficient flow capacity of the river channel and high risk, in extreme rainstorm, floodwater will flood the plain and flow to the road because the river channel flood is difficult to discharge and the discharge capacity is insufficient, resulting in house flooding. In a case that people are not transferred in time, life will be threatened seriously.
Before the technology of the present invention, the flow capacity of the river channel is analyzed mainly based on the flood flowing capacity of the river channel, without considering the building index of a residential place on both sides of the river channel and without combining with the flood detention capacity and the characteristics (flood volume and flood rise rate) of extreme flood for comprehensive analysis, that is, tacking consideration and analysis of the comprehensive flow capacity of the river channel.
In the embodiments of the present invention, a method and system for analyzing the i2 flow capacity of a river channel based on geospatial recognition, and a device are 17505015 provided. According to the solution, the flow capacity index of the river channel is comprehensively obtained through the house building type and structural form of riverfront villages on both sides ofthe river channel and in combination with the flood flowing capacity, the flood detention capacity and the extreme flood rise rate.
According to a first aspect of embodiments of the present invention, a method for analyzing the flow capacity of a river channel based on geospatial recognition is provided.
FIG. 1 is a flowchart of a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
In one or more embodiments, preferably, the method for analyzing the flow capacity of the river channel based on geospatial recognition includes:
S101: village houses on both sides of a river channel are shot by an unmanned aerial vehicle to obtain an image of each village house and form a house building type and a structural form of each village house;
S102: an elevation and a horizontal distance of each village house are obtained according to the image of each village house, and a building comprehensive distance of each village house is calenlated;
S103: a comprehensive vulnerability index of each village house is calculated according to a house building type, a structural form and à comprehensive distance of each village house;
S104: a flood flowing index is calculated according to a river channel section, deposition area and a river channel channelization coefficient;
S105: a downstream river channel narrowing coefficient and a river channel slope i3 variation coefficient are extracted according to satellite remote sensing image data, 7505075 and a flood detention index is calculated;
S106: the area of a bottomland and the area of a population gathering region are extracted and calculated, and an extreme flood rise rate is calculated; and 5107: a comprehensive flow capacity index of the river channel is calculated according to the flood flowing index, the flood detention index and the extreme flood rise rate.
In the implementation of the present invention, river channel village information is shot by the unmanned aerial vehicle so as to complete on-line analysis of a house comprehensive vulnerability index of the whole drainage basin, and the whole comprehensive flow index of the river channel is established in the analysis process so as to complete the comprehensive assessment on the flow capacity of the river channel and quantize the comprehensive flow capacity of the river channel in combination with the house comprehensive vulnerability index, the river channel flood flowing index, the flood detention index and the flood rise rate.
FIG. 2 is a flowchart of shooting village houses on both sides of a river channel by an unmanned aerial vehicle to obtain an image of each village house and form a house building type and a structural form of each village house in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
As shown in FIG. 2, in one or more embodiments, preferably, the step that the village houses on both sides of the river channel are shot by the unmanned aerial vehicle to obtain the image of each village house and form the house building type and the structural form of each village house specifically includes: 14
S201: village houses on both sides of the river channel are shot so as to obtain the 7505015 image of each village house;
S202: a floor height of a building is determined according to the image of each village house and the floor height is saved as a building type; and
S203: a structural form (reinforced concrete, brick concrete, brick wood and earth wood) of the building is determined according to the image of each village house, and the structural form is saved as a structural form.
In the embodiments of the present invention, oblique photography is performed by the unmanned aerial vehicle based on geospatial recognition analysis to recognize the house building type and the structural form of the riverfront villages on both sides of the river channel, the building types are divided into 1-floor houses, 2-floor houses, and houses with 3 floors and above, and the 1-floor houses, 2-floor houses, houses with 3 floors and above sequentially and respectively correspond to the values of the building type indexes being 3, 2 and 1; and the house structural form correspond the values of the structural types being 1, 2, 3 and 4 according to reinforced concrete, brick concrete, brick wood and earth wood.
FIG. 3 is a flowchart of obtaining an elevation and a horizontal distance of each village house according to the image of each village house, and calculating a building comprehensive distance of each village house in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
As shown in FIG. 3, in one or more embodiments, preferably, the step that the elevation and the horizontal distance of each village house are obtained according to the image of each village house, and the building comprehensive distance of each is
. ; LU505015 village house is calculated specifically includes:
S301: an elevation from each village house to a river bottom is measured according to the image of each village house;
S302: a horizontal distance from each village house to a river network is measured according to the image of each village house; and
S303: a height conversion ratio is set, and the building comprehensive distance of each village house is calculated by a first calculation formula, wherein the building comprehensive distance is specifically used to determine the influence degree of the building by the mountain torrent; and generally, the building which is far away from the river channel and has a high elevation is less affected by the mountain torrent, and vice versa.
The first calculation formula is:
J=G(h+) wherein J; is the building comprehensive distance, G is the height conversion ratio, Ji is the elevation, and ./; is the horizontal distance.
In the embodiment of the present invention, the height conversion ratio is inversely proportional to the building comprehensive distance, so in general, G takes a negative value, and all the calculation quantities are data without unit in the operation process.
FIG. 4 is a flowchart of calculating a comprehensive vulnerability index of each village house according to a building type, a structural form and a comprehensive distance of each village house in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention. 16
As shown in FIG. 4, in one or more embodiments, preferably, the step that the 7505015 comprehensive vulnerability index of each village house is calculated according to the building type, the structural form and the comprehensive distance of each village house specifically includes:
S401: a first vulnerability coefficient, a second vulnerability coefficient and a third vulnerability coefficient are set; and
S402: according to the house building type and the structural form of each village house and in combination with the building comprehensive distance, a comprehensive vulnerability index of each village house is calculated by respectively using a second calculation formula, wherein the comprehensive vulnerability index is used fo evaluate the degree of vulnerability of the house by the mountain torrent, the high vulnerability index indicates that the building type and the structural form of the house are vulnerable to the mountain torrent, otherwise, it indicates that the vulnerability is low and the building type and the structural form of the house are not easily affected by the mountain torrent.
The second calculation formula is:
Y=K,C+KaL+ K3 Ja wherein Ÿ is the comprehensive vulnerability index, C is a building type index, L is a structural form index, Ki is the first vulnerability coefficient, K is the second vulnerability coefficient, and Kx is the third vulnerability coefficient.
In the embodiments of the present invention, the building type indexes are mainly classified as the number of floors such as one, two, three and above, sequentially corresponding to 3, 2 and 1; and the structural forms are sequentially earth wood, brick wood, brick concrete and reinforced concrete, and the corresponding structural i7 form indexes are sequentially 1, 2, 3 and 4. The first vulnerability coefficient, the LU505015 second vulnerability coefficient and the third vulnerability coefficient are all coefficients set according to experience.
FIG. 5 is a flowchart of calculating a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
As shown in FIG. 5, in one or more embodiments, preferably, the step that the flood flowing index is calculated according to the river channel section, the deposition area and the river channel channelization coefficient specifically includes:
S501: the river channel channelization coefficient, sectional area and drainage basin area are acquired according to the currently acquired data;
S502: wherein the deposition area is the area that affects a flood flowing channel in the river channel and is expressed by the cross-sectional area of a deposition body;
S503: the comprehensive vulnerability indexes of the houses associated with the river channel are determined one by one according to the comprehensive vulnerability index of each village house, and in a case that the sum of the comprehensive vulnerability indexes associated with the river channel is greater than or equal to 15, each village house corresponding to the river channel is marked as a collapsed building;
S504: in a case that no collapsed building is not present, the flood flowing index is calculated by a third calculation formula; and
S505: in a case that the collapsed building is present, the flood flowing index is calculated by a fourth calculation formula.
The third calculation formula is: is
; LU505015
X=DIL-}V, / DY +H, wherein D is the sectional area, L is the drainage basin area, V; is the total area of the deposition body, pı is a first empirical attenuation coefficient, and Hc is the river channel channelization coefficient.
The calculation mode of the river channel channelization coefficient He is a derivative of a Chézy coefficient, and the greater the Hc is, the lower the flood flowing capacity is. The first empirical attenuation coefficient is set according to experience, and is preferably selected as the number of water-blocking buildings. Vj is the total area of the deposition body, the length of a blocked river reach is obtained by a remote sensing image for calculating the deposition body and determining the area on the specific river channel section, and the third calculation formula can calculate the flood flowing index according to the river channel deposition body and the channelization situation.
The fourth calculation formula is:
F
X=D/L-CQV, IDS)" +H, jet wherein X is the flood flowing index, 7 is the total number of collapsed buildings, / is the serial number of the collapsed buildings, } is the congestion area generated after the collapse of the / collapsed building, and S4 is the area of the deposition body.
FIG. 6 is a flowchart of extracting a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculating a flood detention index in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention. 19
As shown in FIG. 6, in one or more embodiments, preferably, the step that the downstream river channel narrowing coefficient and the river channel slope variation coefficient are extracted according to the satellite remote sensing image data, and the flood detention index is calculated specifically includes:
S601: according to the satellite remote sensing image data, the downstream river channel width is calculated by a fifth calculation formula;
S602: according to the satellite remote sensing image data, the downstream river channel narrowing coefficient is calculated by a fifth caleulation formula; and
S603: the flood detention index is calculated by a seventh calculation formula, wherein the fifth calculation formula is:
Fi=Kxy /Ksy wherein Fi is the downstream river channel narrowing coefficient, Kxy is the downstream river channel width, and Ksy is the upstream river channel width; the sixth calculation formula is:
Fa =Pxy Psy wherein F» is the river channel slope variation coefficient, Pxy is an average slope of the downstream river channel, and Psy is an average slope of the upstream river channel; and the seventh calculation formula is:
Zy= K3F1- KaFa wherein Zn is the flood detention index, Fı is the downstream river channel narrowing coefficient, F2 is the river channel slope variation coefficient, Kz is a first flood detention coefficient, and Kı is a second flood detention coefficient.
The calculation principle of the fifth calculation formula is that the flood detention index is comprehensively affected by the downstream river channel width and slope,
so the downstream river channel narrowing coefficient and slope variation coefficient 7505015 are set for quantitative representation. In a case that the downstream river channel narrowing coefficient is less than 1, it indicates that the downstream river channel is narrowed and the flow capacity of the river channel is reduced. In a case that the river channel slope variation coefficient is greater than 1, it indicates that the downstream slope is enlarged, so that the flow capacity of the river channel is enhanced.
FIG. 7 is a flowchart of extracting and calculating the area of a bottomland and the area of a population gathering region, and calculating an extreme flood rise rate in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
As shown in FIG. 7, in one or more embodiments, preferably, the step that the area of the bottomland and the area of the population gathering region are extracted and calculated, and the extreme flood rise rate is calculated specifically includes:
S701: the area of the bottomland and the area of the population gathering region are extracted according to the satellite remote sensing image data; and
S702: the extreme flood rise rate is calculated by an eighth calculation formula, wherein the eighth calculation formula is:
Vap=(TD/LYY wherein Vap 18 the extreme flood rise rate, 7D is the area of the bottomland, LY is the area of the population gathering region, and a is a rise coefficient.
In the embodiments of the present invention, the area of the population gathering region is specifically the area of villages and towns. The larger the area of the bottomland or the area of the village gathering region, the slower the rise rate, and the rise coefficient is a negative number. 21
FIG. 8 is a flowchart of calculating a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate in a method for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
As shown in FIG. 8, in one or more embodiments, preferably, the step that the comprehensive flow capacity index of the river channel is calculated according to the flood flowing index, the flood detention index and the extreme flood rise rate specifically includes:
S801: the flood flowing index, the flood detention index and the extreme flood rise rate are obtained; and
S802: the comprehensive flow capacity index of the river channel is calculated by a ninth calculation formula, wherein the ninth calculation formula is:
Hz X Zt Km Vig wherein H: is the comprehensive flow capacity index of the river channel, Æ is the flood flowing coefficient, A is the extreme flood rise rate coefficient, Zn is the flood detention index, and A 1s a flood detention coefficient.
Sa is the area of the deposition body, and the acquisition mode is the water surface blockage area recognized by the remote sensing image.
In the embodiments of the present invention, the building type and the structural form of the houses may serve as one type of collapsed buildings. In addition, the collapsed building may consider the influence of collapse of bridges and culverts, and the flood detention capacity of the mountain river channel is analyzed on this basis. 22
H, is the river channel comprehensive flow capacity index, and the adaptive capacity of the river channel on the extreme flood may be quantized by calculating the river channel comprehensive flow capacity index, thereby researching and determining the risk of the river channel.
In the embodiment of the present invention, it should be noted that the greater the river channel comprehensive flow capacity index is, the higher the capability of bearing flow by the river channel, because the flood detention speed is smail while the flood flowing capacity is high; in this case, flood can be coped better, otherwise, flood is difficult to cope; in addition, the values of the flood flowing coefficient and the flood detention coefficient in one region are generally fixed empirical values; and when a reasonable empirical value is not obtained, the flood flowing coefficient and the flood detention coefficient are preferably set as 1.
According to a second aspect of embodiments of the present invention, a system for analyzing the flow capacity of a river channel based on geospatial recognition is provided.
FIG. 9 is a structural diagram of a system for analyzing the flow capacity of a river channel based on geospatial recognition according to an embodiment of the present invention.
In one or more embodiments, preferably, the system for analyzing the flow capacity of the river channel based on geospatial recognition includes: an information acquisition module 901, configured to shoot village houses on both sides of a river channel by an unmanned aerial vehicle to obtain an image of each 23 village house and form a house building type and a structural form of each village 17505015 house: a distance analysis module 902, configured to obtain an elevation and a horizontal distance of each village house according to the image of each village house, and calculate a building comprehensive distance of each village house; a vulnerability analysis module 903, configured to calculate a comprehensive vulnerability index of each village house according to a house building type, a structural form and a comprehensive distance of each village house; a flood flowing operation module 904, configured to calculate a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient; a flood detention operation module 905, configured to acquire a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculate a flood detention index; an extreme flood operation module 906, configured to extract and calculate the area of a bottomland and the area of a population gathering region, and calculate an extreme flood rise rate; and a comprehensive flow capacity analysis module 907, configured to calculate a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate.
In implementation of the present invention, rapid data acquisition of all information is completed through modular design and by an information acquisition module and a vulnerability analysis module, so that analysis of the flood flowing capacity and the flood detention capacity and calculation of the extreme flood rise rate are completed according to the house comprehensive vulnerability degree and the satellite image, 24 and comprehensive flow capacity analysis is realized. 7505075
According to a third aspect of the embodiments of the present invention, an electronic device is provided. FIG. 10 is a structural diagram of an electronic device according te an embodiment of the present invention, The electronic device shown in FIG, 10 is a general apparatus for analyzing the flow capacity of the river channel based on geospatial recognition, and includes a general computer hardware structure, and at least includes a processor 1001 and a memory 1002. The processor 1001 and the memory 1002 are connected through a bus 1003. The memory 1002 is suitable for storing an instruction or program executable by the processor 1001. The processor 1001 may be an independent microprocessor, or may be one or more Microprocessors.
Therefore, the processor 1001 executes the instruction stored by the memory 1002 so as to perform the method process of the above embodiments of the present invention te process data and control other apparatuses. The bus 1003 connects the plurality of assemblies, and connect the assemblies to a display controller 1004, a display apparatus and an input/output (l'O) apparatus 1005. The input/output (I/O) apparatus 1005 may be a mouse, a keyboard, a modem, a network interface, a touch input apparatus, a somatosensory input apparatus, a printer, and other apparatuses known in the art. Typically, the input/output apparatus 1003 is connected to the system through an input/output (1/0) controller 1006.
The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: in the solution of the present invention, the comprehensive vulnerability index of the house building is effectively obtained through on-line analysis of the house building type and structural form of the riverfront villages along both sides of the river channel and in combination with the building comprehensive distance.
In the solution of the present invention, the comprehensive flow capacity under different vulnerability indexes is obtained in combination with the flow flowing capacity, the flood detention capacity and the extreme flood rise rate of the river channel.
Those skilled in the art should understand that the examples of the present invention may be provided as a method, a system, or a computer program product. Therefore, the present invention may use a form of hardware only embodiments, software only embodiments, or embodiments with a combination of software and hardware,
Moreover, the present invention may use a form of a computer program product that is implemented on one or more computer-usable storage media (including but not limited to a disk memory, an optical memory, and the like) that include computer-usable program code.
The present invention is described with reference to the flowcharts and/or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that computer program instructions may be used to implement each process and/or each block in the flowcharts and/or the block diagrams and a combination of a process and/or a block in the flowcharts and/or the block diagrams. These computer program instructions may be provided for a general-purpose computer, a dedicated computer, an embedded processor, or a processor of any other programmable data processing device to generate a machine, so that the instructions executed by a computer or a processor of any other programmable data processing device generate an apparatus for implementing a specific function in one or more processes in the flowcharts and/or in one or more blocks in the block diagrams. 26
These computer program instructions may also be stored in a computer readable memory that can instruct the computer or any other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory generate an artifact that includes an instruction apparatus. The instruction apparatus implements a specific function in one or more processes in the flowcharts and/or in one or more blocks in the block diagrams.
These computer program instructions may also be loaded onto a computer or another programmable data processing device, so that a series of operations and steps are performed on the computer or the another programmable device, thereby generating computer-implemented processing. Therefore, the instructions executed on the computer or the another programmable device provide steps for implementing a specific function in one or more processes in the flowcharts and/or in one or more blocks in the block diagrams.
It will be apparent to those skilled in the art that various modifications and variations of the present invention can be made without departing from the spirit or scope of the present invention. The present invention is intended to cover these modifications and variations provided that they fall within the scope of protection defined by the following claims and their equivalent technologies. 27
Claims (10)
1. A method for analyzing the flow capacity of a river channel based on geospatial recognition, characterized by comprising: shooting village houses on both sides of a river channel by an unmanned aerial vehicle to obtain an image of each village house and form a house building type and a structural form of each village house; obtaining an elevation and a horizontal distance of each village house according to the image of each village house, and calculating a building comprehensive distance of each village house; calculating a comprehensive vulnerability index of each village house according to a house building type, a structural form and a comprehensive distance of each village house; calculating a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient; extracting a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculating a flood detention index; extracting and calculating the area of a bottomland and the area of a population gathering region, and calculating an extreme flood rise rate; and calculating a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate.
2, The method for analyzing the flow capacity of a river channel based on geospatial recognition according to claim 1, characterized in that shooting the village houses on both sides of the river channel by the unmanned aerial vehicle to obtain the image of gach village house and form the house building type and the structural form of each 28 village house specifically comprises: 7505075 shooting village houses on both sides of the river channel so as to obtain the image of each village house; determining a floor height of a building according to the image of each village house and saving the floor height as a building type; and determining a structural form of the building according to the image of each village house, and saving the structural form as a structural form, wherein the structural form comprises reinforced concrete, brick concrete, brick wood and earth wood.
3. The method for analyzing the flow capacity of a river channel based on geospatial recognition according to claim 1, characterized in that obtaining the elevation and the horizontal distance of each village house according to the image of cach village house, and calculating the building comprehensive distance of each village house specifically comprises: measuring an elevation from each village house to a river bottom according to the image of each village house; measuring a horizontal distance from each village house to a river network according to the image of each village house; and setting a height conversion ratio, and calculating the building comprehensive distance of each village house by a first calculation formula, wherein the first calculation formula is: JAH) wherein J: is the building comprehensive distance, G is the height conversion ratio, Ji is the elevation, and Jz is the horizontal distance.
4. The method for analyzing the flow capacity of a river channel based on geospatial 29 recognition according to claim 3, characterized in that calculating the comprehensive 17505015 vulnerability index of each village house according to the house building type, the structural form, and the comprehensive distance of each village house specifically comprises: setting a first vulnerability coefficient, a second vulnerability coefficient and a third vulnerability coefficient; and according to the house building type and the structural form of each village house and in combination with the building comprehensive distance, calculating the comprehensive vulnerability index of each village house by respectively using a second calculation formula, wherein the second calculation formula is: Y=K,C+KaL+ K3 J; wherein Y is the comprehensive vulnerability index, C is a building type index, Lis a structural form index, Æ is the first vulnerability coefficient, Ka is the second vulnerability coefficient, and Kj is the third vulnerability coefficient.
5. The method for analyzing the flow capacity of a river channel based on geospatial recognition according to claim 1, characterized in that calculating the flood flowing index according to the river channel section, the deposition area and the river channel channelization coefficient specifically comprises: acquiring a river channel channelization coefficient, sectional area and drainage basin area according to the currently acquired data, wherein the deposition area is the area that affects a flood flowing channel in the river channel and is expressed by the cross-sectional area of a deposition body; determining the comprehensive vulnerability indexes of the houses associated with the river channel one by one according to the comprehensive vulnerability index of each village house, and in a case that the sum of the comprehensive vulnerability indexes associated with the river channel is greater than or equal to 15, marking each 7505075 village house corresponding to the river channel as a collapsed building; in a case that no collapsed building is present, calculating the flood flowing index by a third calculation formula; and in a case that the collapsed building is present, calculating the flood flowing index by a fourth calculation formula, wherein the third calculation formula is: X=DIL-CST, [DW +H, j=t wherein D is the sectional area, L is the drainage basin area, Vj is the total area of the deposition body, pı is a first empirical attenuation coefficient, and Hc is the river channel channelization coefficient; and the fourth calculation formula is: 7 X=D/L-CV,/ DS)" +H, j=l wherein X is the flood flowing index, 7 is the total number of collapsed buildings, / is the serial number of the collapsed buildings, 7 is the congestion area generated after the collapse of the j* collapsed building, and Sy is the area of the deposition body.
6. The method for analyzing the flow capacity of a river channel based on geospatial recognition according to claim 1, characterized in that extracting the downstream river channel narrowing coefficient and the river channel slope variation coefficient according to the satellite remote sensing image data, and calculating the flood detention index specifically comprises: according to the satellite remote sensing image data, calculating the downstream river channel narrowing coefficient by a fifth calculation formula; according to the satellite remote sensing image data, calculating the 31 downstream river channel slope variation coefficient by a sixth calculation formula; 7505015 and calculating the flood detention index by a seventh calculation formula, wherein the fifth calculation formula is: F,=Kxy/Ksy wherein Fy is the downstream river channel narrowing coefficient, Kxy is a width of an outlet section of a downstream river channel, and Key is a width of an outlet section of an upstream river channel; the sixth calculation formula is: Fa =Pxy /Psy wherein F2 is the river channel slope variation coefficient, Pxy is an average slope of the downstream river channel, and Psy is an average slope of the upstream river channel; and the seventh calculation formula is: Zn= K3F1- KaF2 wherein Zu is the flood detention index, F, is the downstream river channel narrowing coefficient, F2 is the river channel slope variation coefficient, Æ3 is a first flood detention coefficient, and Æ4 is a second flood detention coefficient.
7. The method for analyzing the flow capacity of a river channel based on geospatial recognition according to claim 1, characterized in that extracting and calculating the area of the bottomland and the area of the population gathering region, and calculating the extreme flood rise rate specifically comprises: extracting the area of the bottomland and the area of the population gathering region according to the satellite remote sensing image data; and calculating the extreme flood rise rate by an eighth calculation formula, wherein the eighth calculation formula is: 32
— LU505015 wherein F,p is the extreme flood rise rate, 7D is the area of the bottomland, LY is the area of the population gathering region, and a is a rise coefficient.
8. The method for analyzing the flow capacity of a river channel based on geospatial recognition according to claim 1, characterized in that calculating the comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate specifically comprises: obtaining the flood flowing index, the flood detention index and the extreme flood rise rate; and calculating the comprehensive flow capacity index of the river channel by a ninth calculation formula, wherein the ninth calculation formula is: He= knX-kni/ Listen Vip wherein AH. is the comprehensive flow capacity index of the river channel, Æ is the flood flowing coefficient, Æ is the extreme flood rise rate coefficient, Zp is the flood detention index, and ki is a flood detention coefficient.
9. A system for analyzing the flow capacity of a river channel based on geospatial recognition, characterized in that the system is configured to perform the method according to any one of claims 1 to 8, and the system comprises: an information acquisition module, configured to shoot village houses on both sides of à river channel by an unmanned aerial vehicle to obtain an image of each village house and form a house building type and a structural form of each village house: a distance analysis module, configured to obtain an elevation and a horizontal distance of each village house according to the image of each village house, and 33 calculate a building comprehensive distance of each village house; 7505015 a vulnerability analysis module, configured to calculate a comprehensive vulnerability index of each village house according to a house building type, a structural form: and a comprehensive distance of each village house; a flood flowing operation module, configured to calculate a flood flowing index according to a river channel section, deposition area and a river channel channelization coefficient; a flood detention operation module, configured to acquire a downstream river channel narrowing coefficient and a river channel slope variation coefficient according to satellite remote sensing image data, and calculate a flood detention index; an extreme flood operation module, configured to extract and calculate the area of a bottomland and the area of a population gathering region, and calculate an extreme flood rise rate; and a comprehensive flow capacity analysis module, configured to calculate a comprehensive flow capacity index of the river channel according to the flood flowing index, the flood detention index and the extreme flood rise rate.
10. An electronic device, comprising a memory and a processor, characterized in that the memory is configured to store one or more computer program instructions, and the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1 to 8. 34
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