CN109086978A - A kind of drainage system against rain waterlogging methods of risk assessment - Google Patents
A kind of drainage system against rain waterlogging methods of risk assessment Download PDFInfo
- Publication number
- CN109086978A CN109086978A CN201810770968.0A CN201810770968A CN109086978A CN 109086978 A CN109086978 A CN 109086978A CN 201810770968 A CN201810770968 A CN 201810770968A CN 109086978 A CN109086978 A CN 109086978A
- Authority
- CN
- China
- Prior art keywords
- rainfall
- drainage system
- waterlogging
- parameter
- catchment
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012502 risk assessment Methods 0.000 title claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000005315 distribution function Methods 0.000 claims description 3
- 241000039077 Copula Species 0.000 claims description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 11
- 238000011156 evaluation Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 101100366940 Mus musculus Stom gene Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010206 sensitivity analysis Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Sewage (AREA)
Abstract
The invention discloses a kind of drainage system against rain waterlogging methods of risk assessment, comprising the following steps: (1) according to the heavy rain standard in meteorological standard, chooses a certain number of catchments from history rainfall data；(2) on the basis of traditional catchment characteristic parameter, increase the catchment characteristic parameter of influence of the reflection rainfall inhomogeneities to drainage system；(3) the rainfall responsive parameter that waterlogging occurs for drainage system is chosen to the waterlogging sensibility of drainage system to be assessed according to catchment characteristic parameter, and determines the rainfall responsive parameter threshold value that waterlogging occurs, obtain the failure domain of drainage system waterlogging generation；(4) parameter characterized by rainfall responsive parameter, establishes rainfall probability density function, for describing the probability distribution of rainfall；(5) integral according to rainfall probability density function in the drainage system failure domain of step (3), calculating rainfall characteristic parameter appear in the probability in failure domain, obtain the probability that waterlogging occurs for drainage system.
Description
Technical field
The present invention relates to the Performance Evaluation technical field of drainage system against rain and design scheme, in particular to a kind of rainwater row
Water system waterlogging methods of risk assessment.
Background technique
Urban rainwater drainage system is responsible for discharge rainfall runoff, the effect for preventing waterlogging from occurring.The design of drainage system
It calculates unequal generally according to rainfall in the concentration time is defaulted as when being designed under the rainfall of different reoccurrence, and designing calculating
Even rainfall, there are larger differences between true random rainfall for this.Therefore, when completing Water drainage system design, to how more preferable
The considerations of under true rainfall is random and non-uniform actual conditions, it is targetedly assessed and waterlogging Risk Calculation, it is right
Optimize Water drainage system design, promotes drainage system operation and be of great significance.
Currently, Performance Evaluation and the waterlogging Risk Calculation of drainage system there is several methods that, first is that according to obtained by I-D-F curve
Rainfall on the basis of design rainfall pattern, form design storm for drainage system water drainage Performance Evaluation and waterlogging Risk Calculation, but
Common rainfall pattern Chicago, Chicago rainfall pattern peak value raininess is bigger than normal, excessively safe in design and assessment.Triangle rainfall pattern is gone through
When, influences more significant, and cannot effectively protrude the effect of peak value raininess, influence the reliability of design and assessment.It is another
Method is to carry out computer Long-Term Simulations using long sequence rainfall data, lasts simulation calculating by long, counts annual waterlogging hair
The raw frequency, to assess and calculate water drainage effect and waterlogging occurrence probability of the drainage system in actual moving process.
But the above method requires data volume big, calculating is at high cost, and risk probability, which calculates, depends on the continuous of rainfall data
Property and long when property, adaptability are poor.The sewerage system performance estimating method and waterlogging for finding efficiently and accurately calculate means pair
Reinforce management of drainage system, promotes drainage system operational efficiency and have a very important role.
Summary of the invention
The present invention provides a kind of drainage system against rain waterlogging methods of risk assessment, can simplify calculating using this method
On the basis of, improve the accuracy of drainage system Performance Evaluation and waterlogging Risk Calculation.
A kind of drainage system against rain waterlogging methods of risk assessment, comprising the following steps:
(1) according to the heavy rain standard in meteorological standard, a certain number of catchments are chosen from history rainfall data；
(2) on the basis of traditional catchment characteristic parameter, increase reflection rainfall inhomogeneities to drainage system
The catchment characteristic parameter of influence；
(3) according to the catchment characteristic parameter in step (2) to the waterlogging sensibility of drainage system to be assessed, from rainfall
The rainfall responsive parameter that waterlogging occurs for drainage system is chosen in affair character parameter, and determines the rainfall sensibility that waterlogging occurs
Parameter threshold obtains the characteristics of rainfall value section of drainage system waterlogging generation, is defined as drainage system failure domain；
(4) parameter characterized by the rainfall responsive parameter in step (3), establishes rainfall probability density function, for retouching
State the probability distribution of rainfall；
(5) integral according to the rainfall probability density function in step (4) in the drainage system failure domain of step (3),
Calculating rainfall characteristic parameter appears in the probability in failure domain, and then obtains the probability that waterlogging occurs for drainage system.
In order to guarantee that accuracy and precision, certain amount refer to about 100 groups or more of catchment.
Traditional catchment characteristic parameter includes but are not limited to average rainfall intensity, rainfall duration, rainfall.
The case where overflowing for drainage system under the catchment of different characteristic parameter counts each characteristic parameter and feature ginseng
Array conjunction and the correlation between the occurrence degree that overflows, according to the catchment characteristic parameter in step (2) to draining to be assessed
The characteristic parameter (or characteristic parameter combination) that correlation reaches 0.9 or more is determined as the draining system by the waterlogging sensibility of system
The waterlogging sensivity feature parameter of system, to choose and determine that the rainfall responsive parameter of waterlogging occurs for drainage system；
On the basis of correlation analysis, when the region waterlogging reach certain standard (roadside depth of accumulated water be greater than 15cm, or
The road-center ponding time is greater than 1h, and ponding range is more than 50m2), and determine the rainfall responsive parameter threshold value that waterlogging occurs,
The characteristics of rainfall value section of drainage system waterlogging generation is obtained, drainage system failure domain is defined as；
Determine drainage system occur waterlogging rainfall responsive parameter, rainfall responsive parameter can with drainage system feature into
Row adjustment and optimization.It determines that the rainfall characteristic parameter threshold value of waterlogging occurs for drainage system, and is established according to different drainage systems
Failure domain.
Rainfall responsive parameter is that variable establishes rainfall probability distribution function by the present invention, and the rainfall calculated in failure domain goes out
The existing frequency reaches reduction and calculates cost, improve meter so that waterlogging Risk Calculation to be transformed into the calculating for causing the calamity rainfall frequency of occurrences
Calculate the requirement of precision.
Preferably, the catchment characteristic parameter of influence of the reflection rainfall inhomogeneities to drainage system be 5min~
30min peak value raininess.In view of the charge for remittance time and basin charge for remittance time of inlet for stom water, it is further preferred that catchment feature
Parameter is 10min peak value raininess, 20min peak value raininess and 30min peak value raininess.
Other than peak value raininess, it is also an option that other catchment characteristic parameters, reflect rainfall inhomogeneities to row
While the influence of water system, the characteristic parameter of synchronous reaction catchment entirety size is rainfall intensity.
It influences each other to reflect drainage system and store water level between water body, it is preferred that in step (2), before peak
Rainfall is also used as catchment characteristic parameter.
According to the correlation of different characteristic parameter (or combination of different characteristic parameter) and drainage system waterlogging situation occurred,
Preferably, in step (3), choosing drainage system the rainfall responsive parameter of waterlogging occurs is peak value raininess and average rainfall intensity.
Preferably, in step (4), rainfall probability density function is established specifically: build according to peak value raininess and average rainfall intensity
Vertical joint probability density function, above two parameters can accurately reflect the shadow that catchment integrally occurs drainage system waterlogging
It rings.
In order to improve the accuracy and precision of calculating, it is preferred that in step 4, constructed using the method for copula more
Parameter rainfall probability distribution function.
In order to improve the accuracy and precision of calculating, it is preferred that in step (5), waterlogging occurs for obtained drainage system
The calculation formula of probability are as follows:
In formula, Ci represents the probability that catchment occurs in waterlogging region, and Cj represents rainfall thing in non-waterlogging region
The probability that part occurs, xi, yi, xj, yjDifferent characteristic parameter values is represented, i, j are serial number.
Beneficial effects of the present invention:
Drainage system against rain waterlogging methods of risk assessment of the invention changes the calculating of drainage system waterlogging probability of happening
Random rainfall has also been fully considered to reduce the operation of hydraulic pipeline model at the calculating of cause calamity rainfall occurrence frequency
Inhomogeneities and uncertain, also improves the Evaluation accuracy of waterlogging risk while reducing calculation amount.
Detailed description of the invention
The drainage system schematic diagram of the city Tu1Wei Mou old town.
Fig. 2 is the failure domain that average rainfall intensity and maximum 30min peak value raininess determine.
Specific embodiment
As shown in Figure 1, certain city old town is the central area in urban district, surrounding is using belt river as boundary, the total face of planned land use
Product is 237.7 hectares, is whole city's top grade, high-grade, the business of high benefit, amusement, financial trade, information centre.Due to
Drainage system the built time is more early, and run-off system is confluence of rainwater and sewage system, and since pipe design standard is relatively low, in pole in region
Ponding and waterlogging has occurred under the rainfall of end.
The drainage system against rain waterlogging methods of risk assessment of the present embodiment the following steps are included:
(1) from 1249 independent catchments of 30 annual rainfall data, it would be possible to which lead to waterlogging reaches heavy rain
The catchment of rank screens, and finishing screen selects 162 secondary catchments that may cause urban waterlogging disaster.
(2) multiple catchment characteristic parameters are chosen；
(3) using model for drainage system experiment and sensitivity analysis, from multiple catchment characteristic parameters and characteristic parameter
In combination, chooses and reach 0.9 with waterlogging occurrence degree correlation, and the highest characteristic parameter combination of correlation is used as sensitive features
Parameter, so that it is determined that the rainfall responsive parameter that waterlogging occurs for the drainage is the average rainfall intensity and 30min peak value rain of rainfall
By force, the two parameters of final choice are used to assess waterlogging risk as rainfall responsive parameter, according to above-mentioned waterlogging standard (roadside
Depth of accumulated water is greater than 15cm or the road-center ponding time is greater than 1h, and ponding range is more than 50m2), determine the ginseng that waterlogging occurs
Number threshold value, specifies the characteristics of rainfall value section of drainage system waterlogging generation, can be described as drainage system failure domain, as shown in Figure 2.
(4) colupa method is used, peak value raininess is established and average rainfall intensity establishes joint probability density function.
(5) it is appeared in failure domain according to rainfall probability density function in the integral calculation rainfall characteristic parameter in failure domain
Probability, obtain the calculation formula of waterlogging risk probability are as follows:
In formula, Ci represents the probability that catchment occurs in waterlogging region, and Cj represents rainfall thing in non-waterlogging region
The probability that part occurs, xi, yi, xj, yjDifferent characteristic parameter values is represented, i, j are serial number.
The result being finally calculated is that region generation waterlogging risk probability is 0.29.
In conclusion the drainage system against rain waterlogging methods of risk assessment of the present embodiment, drainage system waterlogging is occurred general
The calculating of rate, which is transformed into, causes the calculating of calamity rainfall occurrence frequency also to fully consider to reduce the operation of hydraulic pipeline model
The inhomogeneities of random rainfall and uncertain, also improves the Evaluation accuracy of waterlogging risk while reducing calculation amount.
Claims (7)
1. a kind of drainage system against rain waterlogging methods of risk assessment, which comprises the following steps:
(1) according to the heavy rain standard in meteorological standard, a certain number of catchments are chosen from history rainfall data；
(2) on the basis of traditional catchment characteristic parameter, increase influence of the reflection rainfall inhomogeneities to drainage system
Catchment characteristic parameter；
(3) according to the catchment characteristic parameter in step (2) to the waterlogging sensibility of drainage system to be assessed, from catchment
The rainfall responsive parameter that waterlogging occurs for drainage system is chosen in characteristic parameter, and determines the rainfall responsive parameter that waterlogging occurs
Threshold value obtains the characteristics of rainfall value section of drainage system waterlogging generation, is defined as drainage system failure domain；
(4) parameter characterized by the rainfall responsive parameter in step (3), establishes rainfall probability density function, for describing drop
The probability distribution of rain；
(5) integral according to the rainfall probability density function in step (4) in the drainage system failure domain of step (3), calculates
Rainfall characteristic parameter appears in the probability in failure domain, and then obtains the probability that waterlogging occurs for drainage system.
2. drainage system against rain waterlogging methods of risk assessment as described in claim 1, which is characterized in that reflection rainfall is uneven
Property influence to drainage system catchment characteristic parameter be 5min~30min peak value raininess.
3. drainage system against rain waterlogging methods of risk assessment as described in claim 1, which is characterized in that in step (2), by peak
Preceding rainfall is also used as catchment characteristic parameter.
4. drainage system against rain waterlogging methods of risk assessment as described in claim 1, which is characterized in that in step (4), establish
Rainfall probability density function specifically: joint probability density function is established according to peak value raininess and average rainfall intensity.
5. drainage system against rain waterlogging methods of risk assessment as described in claim 1, which is characterized in that in step (3), choose
The rainfall responsive parameter that waterlogging occurs for drainage system is peak value raininess and average rainfall intensity.
6. drainage system against rain waterlogging methods of risk assessment as described in claim 1, which is characterized in that in step 4, use
The method of copula carries out building multi-parameter rainfall probability distribution function.
7. drainage system against rain waterlogging methods of risk assessment as described in claim 1, which is characterized in that in step (5), obtain
Drainage system occur waterlogging probability calculation formula are as follows:
In formula, Ci represents the probability that catchment occurs in waterlogging region, and Cj represents catchment in non-waterlogging region and sends out
Raw probability, xi, yi, xj, yjDifferent characteristic parameter values is represented, i, j are serial number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810770968.0A CN109086978A (en) | 2018-07-13 | 2018-07-13 | A kind of drainage system against rain waterlogging methods of risk assessment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810770968.0A CN109086978A (en) | 2018-07-13 | 2018-07-13 | A kind of drainage system against rain waterlogging methods of risk assessment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109086978A true CN109086978A (en) | 2018-12-25 |
Family
ID=64837869
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810770968.0A Withdrawn CN109086978A (en) | 2018-07-13 | 2018-07-13 | A kind of drainage system against rain waterlogging methods of risk assessment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109086978A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991046A (en) * | 2019-12-04 | 2020-04-10 | 浙江大学 | Drainage system waterlogging risk rapid early warning method based on response surface function |
| CN111738617A (en) * | 2020-07-01 | 2020-10-02 | 广东电网有限责任公司广州供电局 | Transformer substation risk assessment method and early warning system in heavy rainfall weather |
| CN112861325A (en) * | 2021-01-20 | 2021-05-28 | 中水珠江规划勘测设计有限公司 | Design method and device of water discharge system, electronic equipment and storage medium |
| CN113221439A (en) * | 2021-04-07 | 2021-08-06 | 浙江大学 | BP neural network-based drainage system real-time calibration and dynamic prediction method |
| CN115372576A (en) * | 2022-08-19 | 2022-11-22 | 河海大学 | Method for evaluating influence of rainfall event on water quality of combined system drainage pump station |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279671A (en) * | 2013-06-03 | 2013-09-04 | 南京大学 | Urban water disaster risk prediction method based on RBF (radial basis function) neural network-cloud model |
| CN103902828A (en) * | 2014-04-02 | 2014-07-02 | 北京工业大学 | Method for determining urban 24-hours long-duration rainstorm intensity |
| CN104794539A (en) * | 2015-04-20 | 2015-07-22 | 中国水利水电科学研究院 | Method for building flood loss models |
-
2018
- 2018-07-13 CN CN201810770968.0A patent/CN109086978A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279671A (en) * | 2013-06-03 | 2013-09-04 | 南京大学 | Urban water disaster risk prediction method based on RBF (radial basis function) neural network-cloud model |
| CN103902828A (en) * | 2014-04-02 | 2014-07-02 | 北京工业大学 | Method for determining urban 24-hours long-duration rainstorm intensity |
| CN104794539A (en) * | 2015-04-20 | 2015-07-22 | 中国水利水电科学研究院 | Method for building flood loss models |
Non-Patent Citations (1)
| Title |
|---|
| 黄宁: "降雨事件联合槪率分析及其在城市内涝风险评估中的应用", 《中国优秀硕士学位论文全文数据库工程科技II辑》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991046A (en) * | 2019-12-04 | 2020-04-10 | 浙江大学 | Drainage system waterlogging risk rapid early warning method based on response surface function |
| CN110991046B (en) * | 2019-12-04 | 2021-07-09 | 浙江大学 | Drainage system waterlogging risk rapid early warning method based on response surface function |
| CN111738617A (en) * | 2020-07-01 | 2020-10-02 | 广东电网有限责任公司广州供电局 | Transformer substation risk assessment method and early warning system in heavy rainfall weather |
| CN111738617B (en) * | 2020-07-01 | 2023-12-26 | 广东电网有限责任公司广州供电局 | Transformer substation risk assessment method and early warning system in heavy rainfall weather |
| CN112861325A (en) * | 2021-01-20 | 2021-05-28 | 中水珠江规划勘测设计有限公司 | Design method and device of water discharge system, electronic equipment and storage medium |
| CN112861325B (en) * | 2021-01-20 | 2023-02-21 | 中水珠江规划勘测设计有限公司 | Design method and device of water discharge system, electronic equipment and storage medium |
| CN113221439A (en) * | 2021-04-07 | 2021-08-06 | 浙江大学 | BP neural network-based drainage system real-time calibration and dynamic prediction method |
| CN113221439B (en) * | 2021-04-07 | 2022-11-25 | 浙江大学 | BP neural network-based drainage system real-time calibration and dynamic prediction method |
| CN115372576A (en) * | 2022-08-19 | 2022-11-22 | 河海大学 | Method for evaluating influence of rainfall event on water quality of combined system drainage pump station |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109086978A (en) | A kind of drainage system against rain waterlogging methods of risk assessment | |
| Cheng et al. | Flood risk zoning by using 2D hydrodynamic modeling: A case study in Jinan City | |
| CN114118884B (en) | Urban storm waterlogging area risk identification method, system and storage medium | |
| CN112528563B (en) | Urban waterlogging early warning method based on SVM algorithm | |
| CN111062125B (en) | Hydrological effect evaluation method for sponge type comprehensive pipe gallery | |
| Aydoğan et al. | Regional flood frequency analysis for Ç oruh B asin of T urkey with L‐moments approach | |
| CN115471078B (en) | Flood risk point assessment method and device based on urban water affair system | |
| CN112904458B (en) | Hydrological forecasting method and system for super-seepage-full-storage mixed runoff yield mode | |
| CN106126911B (en) | A kind of urban waterlogging methods of risk assessment for considering damp stream stage jacking and influencing | |
| CN104462774A (en) | Urban road and low-lying area water accumulation forecasting method based on water tank model | |
| CN111985129A (en) | Urban rainstorm waterlogging fine simulation method | |
| Abrishamchi et al. | Water resources management scenario analysis in Karkheh River Basin, Iran, using WEAP model | |
| CN109033517A (en) | A kind of Engineering Optimizational Method improving Storm Sewer Network design scheme applicability | |
| Galoie et al. | An investigation of the influence of a retention dam on flood control in a small catchment area in Austria | |
| CN113869804A (en) | Power grid equipment risk early warning method and system under flood disaster | |
| Gaudio et al. | A combined methodology for the hydraulic rehabilitation of urban drainage networks | |
| Russo et al. | Flood hazard assessment in the Raval District of Barcelona using a 1D/2D coupled model | |
| CN109472445A (en) | The risk judgment method of ice water mud-rock flow and its application | |
| CN112507635B (en) | Method for quantitatively evaluating flood regulation and storage functions of watershed wetland | |
| CN115563740A (en) | Urban surface mixed runoff yield calculation method based on drainage pipe network distribution | |
| Yuan et al. | Numerical modelling and quantification of coastal urban compound flooding | |
| Gammoh et al. | Low impact development (LID) efficiency in mitigating urbanization and climate change impacts in Amman, Jordan | |
| Caletka et al. | Improving direct runoff estimations through modifying SCS-CN initial abstraction ratio in a catchment prone to flash floods | |
| CN117910183A (en) | Method and device for realizing drainage model | |
| Kandori et al. | Impact of the two-directional interaction of sewer and river systems on the flood risk |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20181225 |
|
| WW01 | Invention patent application withdrawn after publication |