CN101441683A - Prediction method of city rainstorm flood evolvement process - Google Patents
Prediction method of city rainstorm flood evolvement process Download PDFInfo
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- CN101441683A CN101441683A CNA2008100622663A CN200810062266A CN101441683A CN 101441683 A CN101441683 A CN 101441683A CN A2008100622663 A CNA2008100622663 A CN A2008100622663A CN 200810062266 A CN200810062266 A CN 200810062266A CN 101441683 A CN101441683 A CN 101441683A
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Abstract
The invention discloses a method for predicting a city rainstorm flood evolution process. The method comprises the following steps: (1) initializing data; (2) establishing a void flooded formation, and then establishing a return list; (3) adding a regional block(K) of an initial break-out point to the flooded formation; (4) judging whether the flooded formation is void or not; (5) computing the water depth(D1) of the K1 at the time step(T), computing the altitude difference(D2) between the K1 and a regional block adjacent to the K1, in which if the D1 is more than the D2, the step (6) continues, if the D1 is less than or equal to the D2, the step (7) is directly carried out; (6) computing the T2 needed when the flood reaches the regional block adjacent to the K1, in which if the T is more than the T2, the step (7) continues, if the T is less than or equal to T2, the step 7 is directly carried out; (7) adding the K1 to the return list, and returning to the step (4); and (8) ending the algorithm. When the particular rainstorm flood break-out information is given, due to the adoption of the method, the flooded state of any point in geographical space of the city can be acquired, so that the rainstorm flood evolution process can be predicted.
Description
Technical field
The present invention relates to a kind of Forecasting Methodology of flooding evolutionary process, especially a kind of Forecasting Methodology of city rainstorm flood evolvement process.
Background technology
China is a country that disaster is very frequent, and is wherein particularly serious with flood.Along with the quickening of Urbanization in China, the surge of urban population, disasteies such as urban storm flood have constituted serious threat to city populous, that industry and commerce is flourishing, buildings is various; And on the other hand, flood control standard in the city is on the low side, the occupying breaking-up, Underground Water Excess Exploitation, lack the adverse effect that human factor caused such as suitable big vast engineering construction of urbanization flood effect, original river course water system, makes China big city enter the heavy rain flood high-incidence season.In October, 2007, typhoon " Luo Sha " has been wreaked havoc within the border in Zhejiang about 20 hours, is subjected to the influence that crosses of typhoon " Luo Sha " and cold air, most of area, Zhejiang continues heavy showers, cause 5,380,000 people of Zhejiang Province disaster-stricken, lose nearly 4,600,000,000 yuan, 4.6 hundred million yuan of direct economic losses.The strong rainstorms of not meeting in 40 years cause the serious waterlogging in some areas, Hangzhou, 191.3 the daily precipitation amount of millimeter wound historical record makes the winner city that 533 place's road ponding be arranged, maximum water depth reaches 1.5 meters, main city flood area reaches 82.198 thousand hectares, the population suffered from disaster surpasses 210,000 people, wherein intakes in the resident family of family more than 1500, cuts off the water and electricity supply in the part sub-district, 19 schools are flooded and are suspended classes, traffic once paralysed, and the normal production and living order is produced certain influence, caused comparatively serious property loss.
In the prior art, just predict evolution according to storm rainfall simply for the prediction that the urban storm flood develops, how much heavy rain time the perhaps just calculating of some simple mathematical formula passes through, and floods how many areas, and averaging draws depth of water area.The disadvantage of above method is exactly not consider the ground factor, for example, each regional height above sea level difference (whether the decision zone has current enters), ground rugosity difference (influences water velocity, thereby cause current whether can be reached at certain hour), block is communicated with different (whether the decision current are intercepted, and influence the flood trend), flood discharge factor difference (determine the flood discharge degree of each block, thereby cause the depth of water and water speed).Because do not consider above factor, the prediction that causes developing all only rests on the state that is averaged, and can not get good embodiment for the various characteristics of different blocks.For instance, certain block height above sea level is higher, under the situation that it must be bigger at heavy rain or the duration is long, just can flood, and the depth of water is more shallow than other blocks slightly certainly.Equally, prior art is not considered the ground rugosity, thereby can't judge accurately when follow-up block just can be submerged.Considering on the block connectivity problem that prior art does not judge whether the block time is intercepted because of mountain or other factors, and all blocks under the situation of flooding are made no exception, and floods just according to the time.Do not consider the flood discharge factor in addition in the prior art, it does not have this notion of flood discharge.
Summary of the invention
Technical matters to be solved by this invention provides and a kind ofly obtains any point floodage in the urban geography space under the condition of given concrete heavy rain flood outburst information, and rainstorm flood evolvement process is carried out forecast method.
The present invention addresses the above problem the technical scheme that is adopted: the step of this Forecasting Methodology is as follows:
(1) the following data of initialization: the current time goes on foot the region unit K ∈ S of T, the flow velocity V of initial flood bursting point, the arbitrary polygon grid regions set of blocks S of a certain city landform, initial flood bursting point;
(2) create the formation of flooding that is used for preserving recursive procedure block object of a sky, create the return-list that is used to return all blocks tabulations that flood stretches again;
(3) the region unit K adding of initial bursting point is flooded in the formation, continue step (4);
(4) judge whether flood formation is empty, as be empty, jump to step (8), as be non-NULL, take out and flood the first block object K1 of formation, continue step (5);
(5) calculating K 1 is at the depth of water D1 of time step T, and calculating K 1 is adjacent the height above sea level difference D2 of block, if D1〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, and flood will spread to next block, continue step (6), otherwise then directly jump to step (7);
(6) calculate flood and arrive the required time T 2 of K1 adjacent block, if T T2, illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece that satisfies condition is added flood in the formation, continue step (7), otherwise then directly jump to step (7);
(7) K1 is joined in the return-list, turn back to step (4);
(8) finish algorithm; The information of preserving all flooding area block objects in the return-list of last gained from time step T to a certain moment.
In step of the present invention (1), (5) as consider the heavy rain factor, these data of initial flow speedup V1 that also need initialization heavy rain factor to be produced, and need calculate the recruitment D3 of the depth of water, as D1+D3〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, flood will spread to next block, continue step (6), otherwise then directly jump to step (7); As considering the heavy rain factor, need to calculate flood T3 time of arrival that is reduced, as T in the described step (6) T2-T3, illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece adding that satisfies condition is flooded in the formation, continue step (7), otherwise then directly jump to step (7).
Flood carrying capacity as considering that heavy rain factor and city are had in step of the present invention (1), (5), initial flow speedup V1 and these two data of flood discharge factor M of also needing initialization heavy rain factor to be produced, and need calculate the recruitment D3 of the depth of water, as M (D1+D3)〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, flood will spread to next block, continue step (6), otherwise then directly jump to step (7); Flood carrying capacity as considering that heavy rain factor and city are had in the described step (6), need to calculate flood T3 time of arrival that is reduced, as T〉M (T2-T3), illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece adding that satisfies condition is flooded in the formation, continue step (7), otherwise then directly jump to step (7).
The structure of block is as follows in the step of the present invention (2): unique identification id, determine the zone around some points, this region area area, this zone leveling height above sea level altitude, determine regional links, this regional depth of water depth that this zone is connected.
The information of flooding area block object comprises block introduction, sea level elevation, region area, the current depth of water, the density of population, adjacent area in the step of the present invention (8).
The present invention compared with prior art, have following beneficial effect: this Forecasting Methodology is based on the self-organization adaptive character of cellular automaton (CellularAutomata), arbitrary polygon grid model in conjunction with the city landform, with cellular landform unit is described, flood between the landform unit that definition the is communicated with rule of stretching, " active flooding " different conditions such as (headwater factors) that can realize " passive flooding " (the heavy rain factor) of heavy rain type and flood type flood simulation of stretching that rains in torrents, obtain the floodage of any point in the urban geography space, comprise and flood the path, depth of the water submerging, flooding time, current flow velocity.This Forecasting Methodology has been considered the ground rugosity, transforms into the time factor of current, and each block is flooded successively at different time.This Forecasting Methodology has been considered the block connectivity problem, because embody to be communicated with between the block, so flooding of block occurs flooding because of characteristic separately or situation such as do not flood.This Forecasting Methodology has also been considered the flood discharge factor, and flood discharge is to the crucial touch of several specific characters before, because the factor of flood discharge makes that the evolution of flood is truer, factors such as the depth of water of each block embody abundantlyer.
Description of drawings
Fig. 1 is the division block diagram of city, Hangzhou block.
Fig. 2 is the process flow diagram of " active flooding " flood evolutionary process.
Fig. 3 is the process flow diagram of " active flooding+passive flooding " flood evolutionary process.
Fig. 4 is the process flow diagram of " active flooding+passive flooding+flood discharge " flood evolutionary process.
Embodiment
Embodiment 1:
Referring to Fig. 2, the Forecasting Methodology of (active flooding) when present embodiment is a certain river alongshore region unit outburst flood, its step is as follows:
(1) the following data of initialization: the current time goes on foot T, the flow velocity V of initial flood bursting point, the arbitrary polygon grid regions set of blocks S (area, Hangzhou as shown in Figure 1) of a certain city landform, the region unit K ∈ S of initial flood bursting point;
Then according to the evolutionary process of above information prediction heavy rain flood.
(2) create a sky be used for preserving recursive procedure block object flood formation (Flood Queue), the structure of described block is as follows: unique identification id, determine the zone around some points, this region area area, this zone leveling height above sea level altitude, determine regional links, this regional depth of water depth that this zone is connected.Create the return-list (Return List) be used to return all blocks tabulations that flood stretches again.
(3) init state: the region unit K adding of initial bursting point is flooded in the formation (Flood Queue), continue step (4);
(4) judge whether flood formation (Flood Queue) is empty, as be empty, jump to step (8), as be non-NULL, take out and flood the first block object K1 of formation (Flood Queue), continue step (5);
(5) calculating K 1 is at the depth of water D1 of time step T, and calculating K 1 is adjacent the height above sea level difference D2 of block, if D1〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, and flood will spread to next block, continue step (6), otherwise then directly jump to step (7);
(6) calculate flood and arrive the required time T 2 of K1 adjacent block, if T T2, illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece that satisfies condition is added flood in the formation (Flood Queue), continue step (7), otherwise then directly jump to step (7);
(7) K1 is joined in the return-list (Return List), turn back to step (4);
(8) finish algorithm; The information of preserving all the flooding area block objects from time step T to a certain moment in the return-list of last gained, the information of preserving in the object comprises block introduction, sea level elevation, region area, the current depth of water, the density of population, adjacent area etc.
Embodiment 2:
Referring to Fig. 3, present embodiment is a certain river alongshore region unit outburst flood and the Forecasting Methodology of (active flooding+passive flooding) when simultaneously heavy rain being arranged, and its step is as follows:
(1) the following data of initialization: the current time goes on foot T, the flow velocity V of initial flood bursting point, the arbitrary polygon grid regions set of blocks S (area, Hangzhou as shown in Figure 1) of a certain city landform, the region unit K ∈ S of initial flood bursting point, the initial flow speedup V1 that the heavy rain factor is produced;
Then according to the evolutionary process of above information prediction heavy rain flood.
Step (2), (3), (4) are identical with embodiment 1.
(5) calculating K 1 is at the depth of water D1 of time step T, calculating K 1 is adjacent the height above sea level difference D2 of block, consider the recruitment D3 of the flow of heavy rain factor generation to the depth of water, if D1+D3〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, flood will spread to next block, continue step (6), otherwise then directly jump to step (7);
(6) calculate flood and arrive the required time T 2 of K1 adjacent block, consider flood T3 time of arrival that the heavy rain factor is reduced, if T〉T2-T3, illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece adding that satisfies condition is flooded in the formation (Flood Queue), continue step (7), otherwise then directly jump to step (7);
Step (7), (8) are identical with embodiment 1.
Embodiment 3:
Referring to Fig. 4, present embodiment is a certain river alongshore region unit outburst flood and heavy rain arranged simultaneously, and the Forecasting Methodology of (active flooding+passive flooding+flood discharge) when having certain flood carrying capacity, and its step is as follows:
(1) the following data of initialization: the current time goes on foot T, the flow velocity V of initial flood bursting point, the arbitrary polygon grid regions set of blocks S (area, Hangzhou as shown in Figure 1) of a certain city landform, the region unit K ∈ S of initial flood bursting point, the initial flow speedup V1 that the heavy rain factor is produced, the flood discharge factor M of each block;
Then according to the evolutionary process of above information prediction heavy rain flood.
Step (2), (3), (4) are identical with embodiment 1.
(5) calculating K 1 is at the depth of water D1 of time step T, calculating K 1 is adjacent the height above sea level difference D2 of block, consider recruitment D3 and the flood discharge factor M of the flow of heavy rain factor generation to the depth of water, if M (D1+D3)〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, flood will spread to next block, continue step (6), otherwise then directly jump to step (7);
(6) calculate flood and arrive the required time T 2 of K1 adjacent block, consider flood T3 time of arrival and flood discharge factor M that the heavy rain factor is reduced, if T〉M (T2-T3), illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece adding that satisfies condition is flooded in the formation (Flood Queue), continue step (7), otherwise then directly jump to step (7);
Step (7), (8) are identical with embodiment 1.
Claims (5)
1, a kind of Forecasting Methodology of city rainstorm flood evolvement process, it is characterized in that: step is as follows:
(1) the following data of initialization: the current time goes on foot the region unit K ∈ S of T, the flow velocity V of initial flood bursting point, the arbitrary polygon grid regions set of blocks S of a certain city landform, initial flood bursting point;
(2) create the formation of flooding that is used for preserving recursive procedure block object of a sky, create the return-list that is used to return all blocks tabulations that flood stretches again;
(3) the region unit K adding of initial bursting point is flooded in the formation, continue step (4);
(4) judge whether flood formation is empty, as be empty, jump to step (8), as be non-NULL, take out and flood the first block object K1 of formation, continue step (5);
(5) calculating K 1 is at the depth of water D1 of time step T, and calculating K 1 is adjacent the height above sea level difference D2 of block, if D1〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, and flood will spread to next block, continue step (6), otherwise then directly jump to step (7);
(6) calculate flood and arrive the required time T 2 of K1 adjacent block, if T T2, illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece that satisfies condition is added flood in the formation, continue step (7), otherwise then directly jump to step (7);
(7) K1 is joined in the return-list, turn back to step (4);
(8) finish algorithm; The information of preserving all flooding area block objects in the return-list of last gained from time step T to a certain moment.
2, the Forecasting Methodology of city rainstorm flood evolvement process according to claim 1, it is characterized in that: in described step (1), (5) as consider the heavy rain factor, these data of initial flow speedup V1 that also need initialization heavy rain factor to be produced, and need calculate the recruitment D3 of the depth of water, as D1+D3〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, and flood will spread to next block, continue step (6), otherwise then directly jump to step (7); As considering the heavy rain factor, need to calculate flood T3 time of arrival that is reduced, as T in the described step (6) T2-T3, illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece adding that satisfies condition is flooded in the formation, continue step (7), otherwise then directly jump to step (7).
3, the Forecasting Methodology of city rainstorm flood evolvement process according to claim 1, it is characterized in that: flood carrying capacity as considering that heavy rain factor and city are had in described step (1), (5), initial flow speedup V1 and these two data of flood discharge factor M of also needing initialization heavy rain factor to be produced, and need calculate the recruitment D3 of the depth of water, as M (D1+D3)〉D2, it is poor to illustrate that the depth of water has surpassed height above sea level, flood will spread to next block, continue step (6), otherwise then directly jump to step (7); Flood carrying capacity as considering that heavy rain factor and city are had in the described step (6), need to calculate flood T3 time of arrival that is reduced, as T〉M (T2-T3), illustrate that flood can arrive institute's adjacent area piece, the institute's adjacent area piece adding that satisfies condition is flooded in the formation, continue step (7), otherwise then directly jump to step (7).
4, according to the Forecasting Methodology of claim 1 or 2 or 3 described city rainstorm flood evolvement process, it is characterized in that: the structure of block is as follows in the described step (2): unique identification id, determine the zone around some points, this region area area, this zone leveling height above sea level altitude, determine regional links, this regional depth of water depth that this zone is connected.
5, according to the Forecasting Methodology of claim 1 or 2 or 3 described city rainstorm flood evolvement process, it is characterized in that: the information of flooding area block object comprises block introduction, sea level elevation, region area, the current depth of water, the density of population, adjacent area in the described step (8).
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101864750A (en) * | 2010-06-29 | 2010-10-20 | 西安理工大学 | Multi-model meta-synthesis flood forecasting system and forecasting method thereof |
| CN102930357A (en) * | 2012-11-20 | 2013-02-13 | 中铁第四勘察设计院集团有限公司 | Method for forecasting water burst flood peak and peak time for karst tunnel underground river |
| CN111260714A (en) * | 2020-01-17 | 2020-06-09 | 成都理工大学 | Flood disaster assessment method, device, equipment and computer storage medium |
| CN111651885A (en) * | 2020-06-03 | 2020-09-11 | 南昌工程学院 | Intelligent sponge urban flood forecasting method |
| CN114676568A (en) * | 2022-01-17 | 2022-06-28 | 中国地质大学（北京） | Regional geological structure evolution method and device based on cellular automaton |
| CN115293469A (en) * | 2022-10-10 | 2022-11-04 | 山脉科技股份有限公司 | Urban flood control and drainage risk prediction method |
| CN117094448B (en) * | 2023-10-17 | 2024-02-02 | 成都智慧企业发展研究院有限公司 | Big data analysis method and system |
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2008
- 2008-06-17 CN CNA2008100622663A patent/CN101441683A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101864750A (en) * | 2010-06-29 | 2010-10-20 | 西安理工大学 | Multi-model meta-synthesis flood forecasting system and forecasting method thereof |
| CN102930357A (en) * | 2012-11-20 | 2013-02-13 | 中铁第四勘察设计院集团有限公司 | Method for forecasting water burst flood peak and peak time for karst tunnel underground river |
| CN102930357B (en) * | 2012-11-20 | 2017-03-08 | 中铁第四勘察设计院集团有限公司 | Karst tunnel underground river water burst flood peak value and the Forecasting Methodology of time to peak |
| CN111260714A (en) * | 2020-01-17 | 2020-06-09 | 成都理工大学 | Flood disaster assessment method, device, equipment and computer storage medium |
| CN111260714B (en) * | 2020-01-17 | 2023-07-04 | 成都理工大学 | Flood disaster recovery assessment method, device and equipment and computer storage medium |
| CN111651885A (en) * | 2020-06-03 | 2020-09-11 | 南昌工程学院 | Intelligent sponge urban flood forecasting method |
| CN114676568A (en) * | 2022-01-17 | 2022-06-28 | 中国地质大学（北京） | Regional geological structure evolution method and device based on cellular automaton |
| CN114676568B (en) * | 2022-01-17 | 2022-09-23 | 中国地质大学（北京） | Regional geological structure evolution method and device based on cellular automaton |
| CN115293469A (en) * | 2022-10-10 | 2022-11-04 | 山脉科技股份有限公司 | Urban flood control and drainage risk prediction method |
| CN115293469B (en) * | 2022-10-10 | 2022-12-27 | 山脉科技股份有限公司 | Urban flood control and drainage risk prediction method |
| CN117094448B (en) * | 2023-10-17 | 2024-02-02 | 成都智慧企业发展研究院有限公司 | Big data analysis method and system |
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Open date: 20090527 |