CN110274656B - Urban inland river water level forecasting and early warning method - Google Patents
Urban inland river water level forecasting and early warning method Download PDFInfo
- Publication number
- CN110274656B CN110274656B CN201910535808.2A CN201910535808A CN110274656B CN 110274656 B CN110274656 B CN 110274656B CN 201910535808 A CN201910535808 A CN 201910535808A CN 110274656 B CN110274656 B CN 110274656B
- Authority
- CN
- China
- Prior art keywords
- water level
- warning
- section
- urban
- waterlogging
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/80—Arrangements for signal processing
- G01F23/802—Particular electronic circuits for digital processing equipment
- G01F23/804—Particular electronic circuits for digital processing equipment containing circuits handling parameters other than liquid level
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- General Physics & Mathematics (AREA)
- Sewage (AREA)
Abstract
Hair brushA method for forecasting and early warning the water level of city inland river includes such steps as counting the distribution of water-logging points in city history, and setting the water-logging points as { M }1,M2,…,Mn}; according to the topological structure of the regional pipe network, finding an outlet of the rainwater pipe network for discharging accumulated water at a waterlogging-prone point to an inland river, and arranging an alert section at the position of the outlet; then, based on the design method of the urban rainwater pipe network and the urban drainage physical law, calculating the warning water levels of different warning sections by a warning water level calculation method, wherein the river water level is used as an early warning critical condition of urban waterlogging disasters; determining a water level unit line of the warning section; calculating a warning section water level process based on the rainfall forecast and a warning section water level unit line in the real-time forecast early warning process, wherein the warning section water level process is used as a water level forecast result in the corresponding rainfall process; when the forecasted or actually measured water level of the warning section reaches the warning water level, the moment is the warning moment of the inland river water level. The invention provides a calculation method of warning water level for the waterlogging early warning scheme, and the urban waterlogging disaster loss is effectively reduced.
Description
Technical Field
The invention relates to the field of urban inland inundation prevention and treatment, in particular to an urban inland river water level forecasting and early warning method.
Background
In recent years, under the influence of global climate change, extreme weather such as rainstorm, extra heavy rainstorm and the like frequently occurs, in addition, the construction of infrastructure such as increasing of urban watertight area, drainage, waterlogging prevention and the like is delayed, and urban waterlogging becomes one of the most serious disasters affecting the normal production and life of cities. The urban waterlogging forecasting and early warning system is scientific and reasonable, can forecast urban waterlogging situation space-time change in advance, is beneficial to a decision-making department to quickly, timely and efficiently make emergency response, prevents urban waterlogging disasters or enlarges the influence range, reduces economic loss caused by the waterlogging disasters, and is a key problem to be solved urgently in current urban waterlogging prevention and treatment work.
At present, most urban inland inundation forecasting and early warning technologies are provided based on the construction of urban hydraulic models, and two problems exist, on one hand, because most cities do not establish perfect hydrological monitoring systems, historical hydrological actual measurement data are deficient, especially, urban river flow real-time monitoring technologies are not mature, and river flow data are almost not available. And the calculation accuracy of the urban hydraulic model needs a large amount of hydrological data, particularly flow data, for verification, and the lack of the data is difficult to support the accuracy of the model calculation result, so that the method is difficult to be applied to practice. On the other hand, as the urban hydraulic model needs to be coupled with a rainwater pipe network, a two-dimensional terrain, an inland river system and other multiple elements, on the premise of ensuring certain precision, the calculation speed is slow, the urban product confluence area is small, the impermeability is high, the product confluence speed is extremely high, and the model calculation speed cannot meet the requirement of the response speed of a decision department on the forecast period easily.
In view of the fact that urban water level monitoring data are more complete than data such as flow and flow velocity, an urban inland river water level forecasting method which does not depend on a physical model, is fast in calculation and accurate in result is researched based on urban inland river water level actual measurement data, on the basis, the inland river water level is provided as a control condition to carry out early warning on urban inland inundation conditions, and the urban inland inundation water level forecasting method is a research key point of urban inland inundation prevention and control work.
Disclosure of Invention
In view of the above, the present invention provides a method for forecasting and early warning urban inland river water level, which can be used for real-time early warning based on measured water level, and can also be used for forecasting and early warning, so as to effectively reduce urban inland inundation disaster loss.
The invention adopts the following technical scheme: a city inland river water level forecasting and early warning method comprises the following steps:
step S1: counting the distribution of urban historical waterlogging-prone points, and setting the waterlogging-prone point set as { M }1,M2,…,Mn};
Step S2: according to the topological structure of the regional pipe network, finding an outlet of the rainwater pipe network for discharging accumulated water at the waterlogging-prone point to the inland river, and arranging an alert section at the position of the outlet;
step S3: based on an urban rainwater pipe network design method and an urban drainage physical law, calculating the warning water levels of different warning sections by a warning water level calculation method, and taking the river water level as an early warning critical condition of urban waterlogging disasters;
step S4: determining a water level unit line of the warning section based on the multi-field historical measured rainfall data and the measured water level data of the warning section;
step S5: in the real-time forecasting and early warning process, calculating the water level of the warning section based on the rainfall forecast and the water level unit line of the warning section as the water level forecasting result in the corresponding rainfall process; when the forecasted or actually measured warning section water level reaches the warning section water level, the moment is the inland river water level warning moment.
Further, the step S2 specifically includes the following steps:
step S21: collecting pipe network basic data, topographic data and inland river water system distribution map in the urban research range; the pipe network basic data comprise pipe section start and stop point coordinates, elevations and topological structures;
step S22: according to the topological structure of the pipe network, rainwater drainage outlets of different waterlogging-prone point areas are found respectively, namely rainwater in the waterlogging-prone point areas is drained to a terminal rainwater drainage outlet of the inland river, and waterlogging-prone points { M }1,M2,…,MnThe corresponding rain water discharge outlet is { C }1,C2,…,CnLet the river water level warning section set at the exit be { D }1,D2,…,Dn}。
Further, the step S3 specifically includes the following steps:
step S31: acquiring basic information of a rainwater pipe network for removing rainwater in each waterlogging-prone point area; the basic information of the rainwater pipe network comprises the number of rainwater pipes, the length of the pipe network, the gradient of the pipe, the position of a rainwater discharge port and a river channel discharged by the rainwater discharge port;
step S32: calculating the inland river water level h when the drainage capacity of the rainwater pipe network for removing each waterlogging-prone point is influenced by the inland river water level jacking effect1、h2...hiAnd is used as the warning water level of the corresponding waterlogging warning section;
in the formula, LijIs a waterlogging-prone point MiThe length of the j-th section of pipeline of the rainwater pipe network; sijIs a waterlogging-prone point MiThe j-th section of the rainwater pipe network is sloped.
Further, the step S4 specifically includes the following steps:
step S41: setting the warning section as M, acquiring regional terrain topography and pipe network basic information, and dividing a water collection region N of the M section according to the regional terrain topography and a pipe network topological structure;
step S42: acquiring areas of different land utilization types in the water collecting area N, determining comprehensive runoff coefficients of the different land utilization types according to outdoor drainage design specifications and urban product convergence characteristics, and calculating a clean rain process according to the formula (2);
wherein p (t) is the net rainfall in the period of t; p (t) is the rainfall in the time period t obtained by weather forecast; ΨiA runoff coefficient of the ith land utilization type in the region N; fiThe area of the ith land utilization type in the area N; n is the total number of land utilization types;
step S43: providing historical rainfall data and actually measured water level data with the warning calculation section being M, and constructing a target function with the formula (3) of calculating a water level unit line with the warning calculation section being M; solving the water level unit line of the section M by using an extreme method and combining computer language JAVA programming;
in the formula, H (t) is the measured water level at the moment t; h' (t) is a water level value calculated by using a water level unit line at the time t; t is the calculated total duration of the water level process; h (i) is the value of the ith time interval in the water level unit line; α (t) is a weight coefficient;
step S44: and repeating the steps S41-S43, and calculating the water level unit lines of all the warning sections in the urban area.
Further, the step S5 specifically includes the following steps:
step S51: in the real-time forecasting process, a forecasting result of the rainfall process is obtained, and the net rainfall process in the rainfall process is calculated according to the formula (2);
step S52: and calculating the water level processes of different warning sections in the rainfall process according to the formula (4) to serve as a water level forecasting result.
Further, the specific content of the step S43 of solving the water level unit line of the section M by using an extreme method and combining with the computer language JAVA programming is as follows:
the method for solving and calculating the water level unit line of the section M by using the extreme value method comprises the following steps:
in order to ensure that the water-soluble organic acid,according to the extreme principle, to minimize λ, its partial derivative must be madeThen there are:
and (3) solving the equation set of the formula (5) by using a JAVA programming of a computer language to obtain a water level unit line of the section M.
Compared with the prior art, the invention has the following beneficial effects:
(1) compared with the traditional forecasting based on the urban hydraulic model, the method disclosed by the invention has the advantages that the computation speed is greatly improved, more decision response time is won for the conventional flood prevention dispatching and emergency dispatching in the urban area, and the urban inland inundation disaster loss is effectively reduced.
(2) The inland river water level-based inland inundation early warning method is provided based on the starting angle of solving the problem that urban inland inundation is prone to waterlogging and is not only used for real-time early warning based on actually measured water level, but also used for forecasting and early warning, and the blank of the related field of urban inland inundation early warning technology is made up.
Drawings
Fig. 1 is a schematic diagram illustrating the calculation of inland river control water level according to the embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
The embodiment provides an urban inland river water level forecasting and early warning method, which comprises the following steps:
step S1: counting the distribution of urban historical waterlogging-prone points, and setting the waterlogging-prone point set as { M }1,M2,…,Mn};
Step S2: according to the topological structure of the regional pipe network, finding an outlet of the rainwater pipe network for discharging accumulated water at the waterlogging-prone point to the inland river, and arranging an alert section at the position of the outlet;
step S3: based on an urban rainwater pipe network design method and an urban drainage physical law, calculating the warning water levels of different warning sections by a warning water level calculation method, and taking the river water level as an early warning critical condition of urban waterlogging disasters;
step S4: determining a water level unit line of the warning section based on the multi-field historical measured rainfall data and the measured water level data of the warning section;
step S5: in the real-time forecasting and early warning process, calculating the water level of the warning section based on the rainfall forecast and the water level unit line of the warning section as the water level forecasting result in the corresponding rainfall process; when the forecasted or actually measured warning section water level reaches the warning section water level, the moment is the inland river water level warning moment.
In this embodiment, the step S2 specifically includes the following steps:
step S21: collecting pipe network basic data, topographic data and inland river water system distribution map in the urban research range; the pipe network basic data comprise pipe section start and stop point coordinates, elevations and topological structures;
step S22: according to the topological structure of the pipe network, rainwater discharge outlets of different waterlogging-prone point areas are found respectively, namely rainwater in the waterlogging-prone point areas is discharged to the end of the inland riverEnd the rainwater drainage port to ensure that the waterlogging is easy to occur { M1,M2,…,MnThe corresponding rain water discharge outlet is { C }1,C2,…,CnLet the river water level warning section set at the exit be { D }1,D2,…,Dn}。
In this embodiment, the step S3 specifically includes the following steps:
step S31: acquiring basic information of a rainwater pipe network for removing rainwater in each waterlogging-prone point area; the basic information of the rainwater pipe network comprises the number of rainwater pipes, the length of the pipe network, the gradient of the pipe, the position of a rainwater discharge port and a river channel discharged by the rainwater discharge port;
step S32: calculating the inland river water level h when the drainage capacity of the rainwater pipe network for removing each waterlogging-prone point is influenced by the inland river water level jacking effect1、h2...hiAnd is used as the warning water level of the corresponding waterlogging warning section;
in the formula, LijIs a waterlogging-prone point MiThe length of the j-th section of pipeline of the rainwater pipe network; sijIs a waterlogging-prone point MiThe j-th section of the rainwater pipe network is sloped.
In this embodiment, the step S4 specifically includes the following steps:
step S41: setting the warning section as M, acquiring regional terrain topography and pipe network basic information, and dividing a water collection region N of the M section according to the regional terrain topography and a pipe network topological structure;
step S42: acquiring areas of different land utilization types in the water collecting area N, determining comprehensive runoff coefficients of the different land utilization types according to outdoor drainage design specifications and urban product convergence characteristics, and calculating a clean rain process according to the formula (2);
wherein p (t) is the net rainfall in the period of t; p (t) is the rainfall in the time period t obtained by weather forecast; ΨiA runoff coefficient of the ith land utilization type in the region N; fiThe area of the ith land utilization type in the area N; n is the total number of land utilization types;
step S43: providing historical rainfall data and actually measured water level data with the warning calculation section being M, and constructing a target function with the formula (3) of calculating a water level unit line with the warning calculation section being M; solving the water level unit line of the section M by using an extreme method and combining computer language JAVA programming;
in the formula, H (t) is the measured water level at the moment t; h' (t) is a water level value calculated by using a water level unit line at the time t; t is the calculated total duration of the water level process; h (i) is the value of the ith time interval in the water level unit line; α (t) is a weight coefficient;
step S44: and repeating the steps S41-S43, and calculating the water level unit lines of all the warning sections in the urban area.
In this embodiment, the step S5 specifically includes the following steps:
step S51: in the real-time forecasting process, a forecasting result of the rainfall process is obtained, and the net rainfall process in the rainfall process is calculated according to the formula (2);
step S52: and calculating the water level processes of different warning sections in the rainfall process according to the formula (4) to serve as a water level forecasting result.
In this embodiment, the specific content of the step S43 of solving the water level unit line of the section M by using an extreme method and combining with the JAVA programming of the computer language is as follows:
the method for solving and calculating the water level unit line of the section M by using the extreme value method comprises the following steps:
in order to ensure that the water-soluble organic acid,according to the extreme principle, to minimize λ, its partial derivative must be madeThen there are:
and (3) solving the equation set of the formula (5) by using a JAVA programming of a computer language to obtain a water level unit line of the section M.
Preferably, the urban inland river water level early warning can be carried out in real time according to urban real-time monitoring water level data, and can also be carried out forecasting and early warning according to urban inland river water level forecasting results. The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (6)
1. A city inland river water level forecasting and early warning method is characterized by comprising the following steps: the method comprises the following steps:
step S1: counting the distribution of urban historical waterlogging-prone points, and setting the waterlogging-prone point set as { M }1,M2,…,Mn};
Step S2: according to the topological structure of the regional pipe network, finding an outlet of the rainwater pipe network for discharging accumulated water at the waterlogging-prone point to the inland river, and arranging an alert section at the position of the outlet;
step S3: based on an urban rainwater pipe network design method and an urban drainage physical law, calculating the warning water levels of different warning sections by a warning water level calculation method, and taking the river water level as an early warning critical condition of urban waterlogging disasters;
step S4: determining a water level unit line of the warning section based on the multi-field historical measured rainfall data and the measured water level data of the warning section;
step S5: in the real-time forecasting and early warning process, calculating the water level of the warning section based on the rainfall forecast and the water level unit line of the warning section as the water level forecasting result in the corresponding rainfall process; when the forecasted or actually measured warning section water level reaches the warning section water level, the moment is the inland river water level warning moment.
2. The urban inland river water level forecasting and early warning method according to claim 1, characterized by comprising the following steps: the step S2 specifically includes the following steps:
step S21: collecting pipe network basic data, topographic data and inland river water system distribution map in the urban research range; the pipe network basic data comprise pipe section start and stop point coordinates, elevations and topological structures;
step S22: according to the topological structure of the pipe network, rainwater drainage outlets of different waterlogging-prone point areas are found respectively, namely rainwater in the waterlogging-prone point areas is drained to a terminal rainwater drainage outlet of the inland river, and waterlogging-prone points { M }1,M2,…,MnThe corresponding rain water discharge outlet is { C }1,C2,…,CnLet the river water level warning section set at the exit be { D }1,D2,…,Dn}。
3. The urban inland river water level forecasting and early warning method according to claim 1, characterized by comprising the following steps: the step S3 specifically includes the following steps:
step S31: acquiring basic information of a rainwater pipe network for removing rainwater in each waterlogging-prone point area; the basic information of the rainwater pipe network comprises the number of rainwater pipes, the length of the pipe network, the gradient of the pipe, the position of a rainwater discharge port and a river channel discharged by the rainwater discharge port;
step S32: calculating the inland river water level h when the drainage capacity of the rainwater pipe network for removing each waterlogging-prone point is influenced by the inland river water level jacking effect1、h2...hiAnd is used as the warning water level of the corresponding waterlogging warning section;
in the formula, LijIs a waterlogging-prone point MiThe length of the j-th section of pipeline of the rainwater pipe network; sijIs a waterlogging-prone point MiThe j-th section of the rainwater pipe network is sloped.
4. The urban inland river water level forecasting and early warning method according to claim 1, characterized by comprising the following steps: the step S4 specifically includes the following steps:
step S41: setting the warning section as M, acquiring regional terrain topography and pipe network basic information, and dividing a water collection region N of the M section according to the regional terrain topography and a pipe network topological structure;
step S42: acquiring areas of different land utilization types in the water collecting area N, determining comprehensive runoff coefficients of the different land utilization types according to outdoor drainage design specifications and urban product convergence characteristics, and calculating net rainfall according to a formula (2);
wherein p (t) is the net rainfall in the period of t; p (t) is the rainfall in the time period t obtained by weather forecast; ΨiA runoff coefficient of the ith land utilization type in the region N; fiThe area of the ith land utilization type in the area N; n is the total number of land utilization types;
step S43: providing historical rainfall data and the actually measured water level data with the warning section being M, and constructing a formula (3) for calculating an objective function of a water level unit line with the warning calculation section being M; solving the water level unit line of the section M by using an extreme method and combining computer language JAVA programming;
in the formula, H (t) is the measured water level at the moment t; h' (t) is a water level value calculated by using a water level unit line at the time t; t is the calculated total duration of the water level process; h (i) is the value of the ith time interval in the water level unit line; α (t) is a weight coefficient;
step S44: and repeating the steps S41-S43, and calculating the water level unit lines of all the warning sections in the urban area.
5. The urban inland river water level forecasting and early warning method according to claim 4, wherein the method comprises the following steps: the step S5 specifically includes the following steps:
step S51: in the real-time forecasting process, a forecasting result of the rainfall process is obtained, and the net rainfall process in the rainfall process is calculated according to the formula (2);
step S52: and (4) calculating water level values of different warning sections in the rainfall process according to the formula (4) to serve as a water level forecasting result.
6. The urban inland river water level forecasting and early warning method according to claim 4, wherein the method comprises the following steps: the concrete contents of the step S43 of solving the water level unit line of the section M by using the extreme method and combining the computer language JAVA programming are as follows:
the method for solving and calculating the water level unit line of the section M by using the extreme value method comprises the following steps:
in order to ensure that the water-soluble organic acid,according to the extreme principle, to minimize λ, its partial derivative must be madeThen there are:
and (3) solving the equation set of the formula (5) by using a JAVA programming of a computer language to obtain a water level unit line of the section M.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910535808.2A CN110274656B (en) | 2019-06-20 | 2019-06-20 | Urban inland river water level forecasting and early warning method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910535808.2A CN110274656B (en) | 2019-06-20 | 2019-06-20 | Urban inland river water level forecasting and early warning method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110274656A CN110274656A (en) | 2019-09-24 |
CN110274656B true CN110274656B (en) | 2021-05-04 |
Family
ID=67961132
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910535808.2A Active CN110274656B (en) | 2019-06-20 | 2019-06-20 | Urban inland river water level forecasting and early warning method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110274656B (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111639803A (en) * | 2020-05-29 | 2020-09-08 | 福州市规划设计研究院 | Prediction method applied to future vegetation index of area under climate change scene |
CN113742818B (en) * | 2021-08-12 | 2022-07-01 | 中交第四航务工程勘察设计院有限公司 | Multi-factor composite early warning and forecasting method for municipal road water accumulation |
CN113762618B (en) * | 2021-09-07 | 2022-03-01 | 中国水利水电科学研究院 | Lake water level forecasting method based on multi-factor similarity analysis |
CN114463946A (en) * | 2022-01-11 | 2022-05-10 | 探路者(上海)数字技术有限公司 | Intelligent flood early warning system and method |
CN114723251A (en) * | 2022-03-24 | 2022-07-08 | 中国水利水电科学研究院 | Underground water level warning line defining method and system |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101929140A (en) * | 2009-04-02 | 2010-12-29 | 福州市规划设计研究院 | Flood drainage planning and designing method for non-plain cities |
TWM425795U (en) * | 2011-09-06 | 2012-04-01 | Univ Far East | Warning indicator for road ponding |
CN104898183A (en) * | 2015-05-29 | 2015-09-09 | 杭州辰青和业科技有限公司 | Modeling evaluation method for urban heavy rain inundation |
CN108182543A (en) * | 2018-01-17 | 2018-06-19 | 福建四创软件有限公司 | One kind becomes more meticulous grid waterlogging water logging forecasting procedure |
CN108320462A (en) * | 2018-03-02 | 2018-07-24 | 中山市爱科应用科技有限公司 | Urban Flood control early-warning and predicting system |
CN108388714A (en) * | 2018-02-07 | 2018-08-10 | 杭州师范大学 | The plain river network city flood simulation method of basin water system and urban pipe network coupling |
CN109308560A (en) * | 2018-07-18 | 2019-02-05 | 中国水利水电科学研究院 | A kind of urban rainstorm waterlogging and the method for prewarning risk of long-pending flood |
CN109326087A (en) * | 2018-10-29 | 2019-02-12 | 广东奥博信息产业股份有限公司 | A kind of urban waterlogging method for early warning and device based on drainage pipeline networks monitoring |
CN109886476A (en) * | 2019-01-25 | 2019-06-14 | 武汉大学 | Urban Hydrologic process space model and land use method based on it |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101932145B1 (en) * | 2018-06-14 | 2018-12-24 | 주식회사 고려산업 | An Initial rainwater exclusion device using the flowmeter measuring precipitation per unit area |
-
2019
- 2019-06-20 CN CN201910535808.2A patent/CN110274656B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101929140A (en) * | 2009-04-02 | 2010-12-29 | 福州市规划设计研究院 | Flood drainage planning and designing method for non-plain cities |
TWM425795U (en) * | 2011-09-06 | 2012-04-01 | Univ Far East | Warning indicator for road ponding |
CN104898183A (en) * | 2015-05-29 | 2015-09-09 | 杭州辰青和业科技有限公司 | Modeling evaluation method for urban heavy rain inundation |
CN108182543A (en) * | 2018-01-17 | 2018-06-19 | 福建四创软件有限公司 | One kind becomes more meticulous grid waterlogging water logging forecasting procedure |
CN108388714A (en) * | 2018-02-07 | 2018-08-10 | 杭州师范大学 | The plain river network city flood simulation method of basin water system and urban pipe network coupling |
CN108320462A (en) * | 2018-03-02 | 2018-07-24 | 中山市爱科应用科技有限公司 | Urban Flood control early-warning and predicting system |
CN109308560A (en) * | 2018-07-18 | 2019-02-05 | 中国水利水电科学研究院 | A kind of urban rainstorm waterlogging and the method for prewarning risk of long-pending flood |
CN109326087A (en) * | 2018-10-29 | 2019-02-12 | 广东奥博信息产业股份有限公司 | A kind of urban waterlogging method for early warning and device based on drainage pipeline networks monitoring |
CN109886476A (en) * | 2019-01-25 | 2019-06-14 | 武汉大学 | Urban Hydrologic process space model and land use method based on it |
Also Published As
Publication number | Publication date |
---|---|
CN110274656A (en) | 2019-09-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110274656B (en) | Urban inland river water level forecasting and early warning method | |
CN110852577B (en) | Urban flood assessment method based on urban toughness and urban watershed hydrologic model | |
WO2021003768A1 (en) | Rural grass-roots flood early-warning method based on antecedent precipitation and upstream-downstream topological relationship | |
CN101807045B (en) | Data-based urban sewage pumping station system modeling method | |
CN110633865A (en) | Urban ponding prediction and safety early warning system based on drainage model | |
CN109815305A (en) | A kind of method of Cross Some Region Without Data play flood runoff process inverting | |
CN108681848A (en) | One kind " Trinity " small reservoir or silt arrester flood season method for early warning | |
CN110232479B (en) | Flood control compensation optimization scheduling method for urban reservoir | |
CN116362419B (en) | Urban flood control early warning system and method | |
CN106529739A (en) | Gridding-based flood prediction method | |
CN110838079A (en) | Intelligent city flood control and drainage remote monitoring system and method | |
CN114118884A (en) | Urban rainstorm waterlogging area risk identification method and system and storage medium | |
CN109979172A (en) | A kind of dynamic mountain torrents Critical Rainfall forecasting procedure based on Xinanjiang model | |
CN112528563A (en) | Urban waterlogging early warning method based on SVM algorithm | |
CN111931330B (en) | Generalized calculation method for pipe network drainage process of non-pipe network data urban area | |
CN115689168A (en) | Accumulated water emergency scheduling method based on accumulated water prediction | |
CN111538798A (en) | Urban catchment area fine extraction method considering DSM and DLG | |
CN106156949A (en) | A kind of rainwater based on waterlogging risk assessment is low affects development project method | |
CN115188163B (en) | Flood early warning method and system based on storm and flood similarity | |
CN114819390A (en) | Model method for estimating urban river sediment deposition | |
CN116434479A (en) | Regional flood disaster grade prediction and early warning method and system | |
CN116029460A (en) | Municipal construction engineering water conservation management platform based on big data | |
CN110414027A (en) | A kind of data processing method suitable for flood forecasting system | |
CN114692432A (en) | Forecasting system and method for simulating real-time evidence booking of urban rainstorm ponding | |
CN110889185A (en) | Peak flow analysis method for small watershed and application thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information | ||
CB02 | Change of applicant information |
Address after: 350108 No.1, Gaoxin Avenue, high tech Zone, Minhou County, Fuzhou City, Fujian Province Applicant after: Fuzhou planning and Design Institute Group Co.,Ltd. Address before: 350108 No.1, Gaoxin Avenue, high tech Zone, Minhou County, Fuzhou City, Fujian Province Applicant before: FUZHOU PLANNING DESIGN & Research Institute |
|
GR01 | Patent grant | ||
GR01 | Patent grant |