CN109063224B - Karst basin coupling hydrological model prediction method - Google Patents

Karst basin coupling hydrological model prediction method Download PDF

Info

Publication number
CN109063224B
CN109063224B CN201810556700.7A CN201810556700A CN109063224B CN 109063224 B CN109063224 B CN 109063224B CN 201810556700 A CN201810556700 A CN 201810556700A CN 109063224 B CN109063224 B CN 109063224B
Authority
CN
China
Prior art keywords
weir
karst
flow
water
model
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.)
Expired - Fee Related
Application number
CN201810556700.7A
Other languages
Chinese (zh)
Other versions
CN109063224A (en
Inventor
王宗星
黄琨
常威
李小河
郭建湖
谭家华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China University of Geosciences
Original Assignee
China University of Geosciences
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China University of Geosciences filed Critical China University of Geosciences
Priority to CN201810556700.7A priority Critical patent/CN109063224B/en
Publication of CN109063224A publication Critical patent/CN109063224A/en
Application granted granted Critical
Publication of CN109063224B publication Critical patent/CN109063224B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)

Abstract

The embodiment of the invention discloses a method for predicting a karst watershed coupling hydrological model, which is simple to establish, can simulate a surface flood process curve and simulate a multiple water-containing medium flood recession attenuation process of an underground water system through data, realizes the coupling calculation of surface water and underground water quantity in a karst area, can well simulate the recession rule of multiple karst water-containing media such as pore media, crack media, small pipelines, large pipelines, underground rivers and the like in the karst area, realizes the accurate sectional type prediction of the underground river flood recession in the heavy rainstorm in the karst area, and has higher flood prediction application value; the problems that the traditional numerical simulation method is high in heterogeneity of a space structure, and the input is not enough when being used in a karst region with heterogeneity and dispersity in space, and the adaptability is poor are solved.

Description

Karst basin coupling hydrological model prediction method
Technical Field
The invention belongs to the technical field of hydrological model water volume prediction and forecast of hydrological watershed, and particularly relates to a karst watershed coupling hydrological model prediction method.
Background
The hydrologic movement law of karst watersheds is different from that of general watersheds due to the special water-containing system structure and the extreme heterogeneity of water-containing media. Researches show that the underground river system in the southwest karst area has many similar characteristics with the surface river; the karst pipeline structure (network) of the underground river system is similar to an earth surface water system network, the underground river system responds to rainfall rapidly, and has the characteristics of large earth surface river flow, high flow speed, large specific drop and the like.
In the karst area that the data lack and be not convenient for gather data, can't provide effectual monitoring or prediction data for the karst water system water inflow, be not convenient for be under construction in the karst area.
Disclosure of Invention
In view of the above technical problems, embodiments of the present invention provide a method for establishing a basin coupling hydrological model in a region with insufficient data, which can monitor and predict karst regions, and an application thereof.
In order to solve the above technical problem, an embodiment of the present invention provides a method for predicting a karst watershed coupling hydrological model, including the following steps:
(1) downloading vector contour lines to manufacture a digital elevation model of a drainage basin of the karst area according to information collected by a remote sensing system, a geographic information system and a global positioning system in the karst area, and processing the obtained model to obtain original basic data of the drainage basin of the karst area;
(2) establishing a Topmodel model for the obtained original basic data, and inputting a terrain index, rainfall data and evaporation data to calculate the total amount of surface water entering underground water;
(3) monitoring the flow of a drainage basin in a karst region by adopting a high-resolution flow monitoring device, identifying characteristics of a karst aqueous medium of the drainage basin, establishing a multiple karst aqueous medium water tank model, and calculating the outflow coefficient value of an underground drainage basin fracture/pipeline through the water tank model;
(4) according to the obtained effluent coefficient values of surface water supply and underground watershed cracks/pipelines, obtaining a primary coupling hydrological model by utilizing the Topmodel model and the Tank model in a coupling simulation mode, and obtaining a corrected coupling hydrological model after parameter calibration;
(5) and applying the obtained coupling hydrological model to a rainfall and flood process curve for simulating a drainage basin of the karst area to predict the flood volume of the underground river in the karst area.
Compared with the related art, the technical scheme provided by the embodiment of the invention has the following beneficial effects: the method for establishing the coupling hydrological model is simple, the established coupling hydrological model can simulate a surface flood process curve, and can simulate a multiple water-containing medium flood recession attenuation process of an underground water system through data, so that the coupling calculation of surface water and underground water quantity in a karst area is realized, the sectional recession rule of multiple karst water-containing media such as pore media, crack media, small pipelines, large pipelines, dark rivers and the like in the karst area can be well simulated, the accurate prediction of the dark river flood recession in the heavy rainstorm in the karst area is realized, and the flood prediction application value is higher.
Drawings
FIG. 1 is a flow chart of a coupling hydrological model building method according to an embodiment of the present invention;
FIG. 2 is a flow attenuation curve and a segment diagram of an embodiment of the present invention;
FIG. 3 is a schematic structural view of a duplex rectangular weir flow monitoring station according to an embodiment of the invention;
FIG. 4 is a schematic diagram of the physical concept of the coupling hydrological model established by the embodiment of the invention;
FIG. 5 is a digital elevation model of a Korea sub-basin according to an embodiment of the present invention;
FIG. 6 is a watershed topography index map according to an example embodiment of the invention;
FIG. 7 is a graph illustrating simulation of flood process in a Korea sub-basin according to an embodiment of the present invention;
wherein: the device comprises a compound rectangular flow weir 21, a monitoring device 22, a drilling water level monitoring station 3, a left weir 4, a right weir 5, a base 6, a compound rectangular weir 7, a first layer thin-wall weir 71, a second layer brick-laying weir 72, a stainless steel plate 73, a water level monitoring device hole 8, a stainless steel pipe 81 and a small hole 82.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
Example one
Referring to fig. 1, an embodiment of the present invention provides a method for predicting a karst watershed coupling hydrological model, including the following steps:
(1) processing according to geographic landform information and images acquired by a remote sensing system, a geographic information system and a global positioning system in a karst area to obtain corresponding vector contour lines according to the acquired information and images, manufacturing a digital elevation model of a drainage basin in the karst area according to the vector contour lines, and processing the obtained digital elevation model to obtain original basic data of the drainage basin in the karst area; in the karst area, the geographic situation information is inconvenient to collect manually, and the geographic landform information and images collected by a remote sensing system, a geographic information system and a global positioning system are utilized, so that the accuracy of information collection is improved, and the labor intensity is reduced;
the original basic data comprises terrain index data and a terrain index probability distribution curve;
(2) establishing a Topmodel model by using the obtained original basic data, and inputting a terrain index, rainfall data and evaporation data to calculate the total amount Q of surface water entering underground waterq(ii) a Wherein the rainfall data and the evaporation data are obtained according to the data of meteorological monitoring;
(3) monitoring the flow of a drainage basin in a karst region by adopting a high-resolution flow monitoring device, identifying characteristics of a karst aqueous medium of the drainage basin, establishing a multiple karst aqueous medium water tank model, and calculating an outflow coefficient of an underground drainage basin fracture/pipeline through the water tank model;
the characteristics of the karst aqueous medium are identified by an attenuation coefficient α in a flow attenuation equation (1) of the underground river;
Figure BDA0001681511230000041
wherein: any time-t during the decay period; decay onset time-t0(ii) a flow-Q corresponding to time tt；t0flow-Q corresponding to time0The attenuation coefficient is- α;
the attenuation coefficient equation (2) is obtained as:
Figure BDA0001681511230000042
wherein α is in the range of n × 10-1～n×10-4；
Referring to the attached figure 2, due to the high heterogeneity of the karst aqueous medium, dynamically decomposing the attenuation of the karst water into a plurality of attenuation sections according to the attenuation coefficient value, and judging the water flow state of the karst water;
in the AB segment, the curve is steeper, the α value is larger, and the curve is in the n × 10-1～n×10-2In between, it shows at the beginning of the flow decayThe sum of various water drainage channels is expected, but the water quantity mainly comes from the rapid drainage of large karst pipelines and underground rivers or caves, the flow rate of underground water is large, the flow attenuation is rapid, the duration is short, and the water flow is always in a turbulent flow state only for a few days to a dozen days;
the curve slope of the BC section is reduced compared with the curve slope of the AB section, and the α value is correspondingly reduced, generally at n × 10-2～n×10-3To (c) to (d); the corresponding reflection shows that the water quantity from large karst pipelines and caves is limited, the water mainly drained from large cracks of karst and other karst cave crack systems is mainly drained, and the attenuation trend of the section can be kept for a longer period due to the reduction of the flow attenuation speed;
the CD segment has a more gradual slope and a smaller α value, and is mostly n × 10-3～n×10-4Meanwhile, the method shows that the hydraulic gradient of the underground water is greatly slowed down, takes laminar flow as a main part and mainly drains water stored in tiny cracks, interlaminar cracks and joints; since the excretion rate is further slowed, the extension period is longer than the first two sub-dynamics;
DE section, curve tends to be horizontal, α value is minimum, and is generally n × 10-4The order of magnitude is even smaller, which is equivalent to more stable drainage of water filled in a fine crack system and holes of a cave filling;
referring to fig. 3, wherein the flow Q is obtained by monitoring data by a duplex rectangular flow monitoring station of the karst area; specifically, the compound rectangular weir flow monitoring station comprises a compound rectangular weir 21 and a monitoring device 22, wherein the compound rectangular weir 21 comprises a left weir 4, a right weir 5 and a base 6, the left weir 4 and the right weir 5 are in a symmetrical structure, and the left weir 4 comprises a rectangular structure close to a river bank and a stepped rectangular structure; the left weir 4, the right weir 5 and the base 6 form a compound rectangular weir 7, and the monitoring device 22 is located upstream of the compound rectangular weir 7; the monitoring step length of the monitoring device 22 is 5min, the water level monitoring precision is 1mm, and the water flow and rainfall data information of each stage of watershed system is obtained through the monitored water level change of the compound rectangular flow weir 21;
a water level monitoring device hole 8 is dug at the upstream of the compound rectangular weir crest 7, a stainless steel pipe 81 is embedded in the water level monitoring device hole 8, small holes 82 are uniformly formed in the pipe body of the stainless steel pipe 81, and the monitoring device 22 is installed in the stainless steel pipe 81; the outer diameter of the stainless steel pipe 81 is 5cm, and the wall thickness is 4 mm;
the compound rectangular weir crest 7 comprises a first layer of thin-wall weir crest 71 and a second layer of bricklayed weir crest 72, wherein the first layer of thin-wall weir crest 71 is made of stainless steel plates 73; the thickness of the stainless steel plate is 3 mm-5 mm; the thickness of the second layer of bricklaying weir crest 72 is 9 cm-11 cm;
the flow adopts different calculation modes according to the relation between the water level in front of the weir and the maximum weir top height of the duplex rectangular flow weir 21; when the water level before the weir is smaller than the maximum weir top height, calculating the flow by adopting a formula (3), and when the water level before the weir is larger than the maximum weir top height, calculating the flow by adopting a formula (4);
Figure BDA0001681511230000061
Figure BDA0001681511230000062
wherein Q is flow rate, and the unit is per cubic meter per second; m is a flow coefficient; b is1Is the width of the first layer thin-walled weir 71 in meters; b is2The width of the second course of bricklayed weir 72 is in meters; g is the acceleration of gravity; h is the water level in front of the weir, and the unit is meter; p1The height of the upper bank of the small weir corresponding to the first layer of thin-wall weir crest 71 is measured in meters; h is1The maximum weir crest height is given in meters; p2The height of the upper bank of the large weir corresponding to the second layer of bricklaying weir crest 72 is measured in meters;
calculating a flow value obtained by monitoring through the compound rectangular flow weir through a formula (3) or a formula (4) to obtain a flow attenuation coefficient of a river, namely a pipeline/fracture outflow coefficient value of the underground watershed;
(4) counting meteorological data, and obtaining total amount Q of surface water entering underground waterqPipeline of underground drainage basinThe crack outflow coefficient value and the statistical meteorological data are utilized, a preliminary coupling hydrological model is obtained through coupling simulation of the Topmodel model and the water tank model, and a corrected coupling hydrological model is obtained after parameters are calibrated;
specifically, rainfall and rainfall intensity data of a karst area watershed are counted to obtain convergence lag time of each watershed, a Topmodel model is subjected to parameter calibration, a flow attenuation rule of a flood period, characteristics of a water-containing medium of a karst water system and the proportion of each water storage space are obtained according to the rainfall and the rainfall intensity, an outflow coefficient of the water tank model is calibrated, and calibrated parameters are input into the coupling hydrological model to obtain a corrected coupling hydrological model;
analyzing the properties of the water storage space of the aquifer and the proportion of the water storage space to the total water storage amount by utilizing an underground river or a flow attenuation curve;
from dV ═ Qtdt (5)
When t is 0, V is 0 (6)
Therefore, it is
Figure BDA0001681511230000071
Figure BDA0001681511230000072
Figure BDA0001681511230000073
Figure BDA0001681511230000074
If the decay curve is superimposed by several sub-dynamic states, the sum of the integrals thereof should be the water storage capacity (V) of each sub-dynamic statei) For total water storage (V)0) The percentage of (A) is as follows:
Figure BDA0001681511230000075
obtaining the coupling hydrological model as follows:
Figure BDA0001681511230000076
Qq＝S*ξ*z (13)
wherein Q isGeneral assemblyIs the underground river flow analog value, QqThe total amount of surface water entering underground water, S is the basin area coefficient, z is the water level parameter, ξ is the basin scale parameter, α1Is the microfracture/pore outflow coefficient; z is a radical of1The parameter is the space volume quantity of the micro-crack/pore aqueous medium α2The fracture/small pipe outflow coefficient; z is a radical of2The spatial volume quantity parameter of the aqueous medium of the crack/small pipeline is α3Is the large pipeline/underground river outflow coefficient; z is a radical of3The water flow area coefficient S, the flow area scale parameter ξ and the micro-crack/pore water-containing medium space volume quantity parameter z1Volume quantity parameter z of aqueous medium in the gap/small pipe2Volume quantity parameter z of large pipeline/underground river water-containing medium space3Are obtained by monitoring statistical data.
The parameters of the coupling hydrological model established in the embodiment of the invention are fewer and easy to calculate, and compared with a hydrological model in the related technology or a traditional numerical simulation method, the problems of high heterogeneity, spatial heterogeneity and dispersity of a traditional numerical simulation method in spatial structure and insufficient application and poor adaptability in karst areas are solved, and the method is more suitable for research areas lacking hydrological monitoring data; the labor intensity and the economic cost are greatly reduced in the flood forecasting process; the established coupling hydrological model is applied to the karst area to simulate the flow of the underground river flood in the karst area, and the sectional type fading rule of multiple karst water-containing media such as pore media, crack media, small pipelines, large pipelines, underground rivers and the like is well shown, so that the underground river flood fading rule is more accurate when the heavy rainstorm in the karst area is forecasted, and the flood forecasting application value is higher.
(5) And applying the obtained coupling hydrological model to a rainfall and flood process curve for simulating a drainage basin of the karst area to predict the flood volume of the underground river in the karst area.
Example two
Referring to the attached drawings 5-7, according to the coupled hydrological model prediction method, information and images of the landform and the landform of the downtown are collected, and a digital elevation model diagram and a landform index distribution curve diagram are obtained; and according to the calculated related data, statistical data and monitoring data, predicting the flood flow of the Korea sub-basin by adopting the coupling hydrological model to obtain a Korea sub-basin flood flow process simulation curve diagram.
In this document, the terms front, back, upper and lower are used to define the components in the drawings and the positions of the components relative to each other, and are used for clarity and convenience of the technical solution. It is to be understood that the use of the directional terms should not be taken to limit the scope of the claims.
The features of the embodiments and embodiments described herein above may be combined with each other without conflict.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (5)

1. A karst basin coupling hydrological model prediction method is characterized by comprising the following steps:
(1) acquiring geographic landform information and images in a karst area according to a remote sensing, geographic information system and a global positioning system, processing the acquired information and images to obtain corresponding vector contour lines, manufacturing a digital elevation model of a drainage basin in the karst area according to the vector contour lines, and processing the obtained digital elevation model to obtain original basic data of the drainage basin in the karst area;
(2) establishing a Topmodel model by using the obtained original basic data, and inputting a terrain index, rainfall data and evaporation data to calculate the total amount Q of surface water entering underground waterq；
(3) Monitoring the flow of a drainage basin in a karst region by adopting a high-resolution flow monitoring device, identifying characteristics of a karst aqueous medium of the drainage basin, establishing a multiple karst aqueous medium water tank model, and calculating the outflow coefficient value of an underground drainage basin fracture/pipeline through the water tank model; the flow is obtained through monitoring data of a compound rectangular weir flow monitoring station of a karst area, specifically, the flow adopts different calculation modes according to the relation between the water level before the weir of the compound rectangular weir and the maximum weir top height, and when the water level before the weir is smaller than the maximum weir top height, the formula for calculating the flow is as follows:
Figure FDA0002439768340000011
when the water level before the weir is higher than the maximum weir top height, the formula for calculating the flow is as follows:
Figure FDA0002439768340000012
wherein Q is flow rate, and the unit is per cubic meter per second; m is a flow coefficient; b is1The width of the first layer of thin-wall weir crest is measured in meters; b is2The width of the second layer of bricklaying weir crest is measured in meters; g is the acceleration of gravity; h is the water level in front of the weir, and the unit is meter; p1The upper bank height of the small weir corresponding to the first layer of thin-wall weir crest is measured in meters; h is1The maximum weir crest height is given in meters; p2The height of the upper bank of the large weir corresponding to the weir crest of the second layer of bricklaying is meter;
(4) counting meteorological data, and obtaining total amount Q of surface water entering underground waterqThe effluent coefficient value of the underground watershed fracture/pipeline and statistical meteorological data are utilized to obtain a preliminary coupling hydrological model through the Topmodel model and the water tank model in a coupling simulation mode, and the corrected coupling hydrological model is obtained after parameter calibration:
Figure FDA0002439768340000021
Qq＝S*ξ*z
wherein Q isGeneral assemblyIs the underground river flow analog value, QqThe total amount of surface water entering underground water, S represents a basin area coefficient, z is a water tank model water level parameter, ξ is a basin scale parameter, α1Is the microfracture/pore outflow coefficient; z is a radical of1The parameter is the space volume quantity of the micro-crack/pore aqueous medium α2The fracture/small pipe outflow coefficient; z is a radical of2The spatial volume quantity parameter of the aqueous medium of the crack/small pipeline is α3Is the large pipeline/underground river outflow coefficient; z is a radical of3The volume quantity parameter of the large pipeline/underground river water-containing medium space;
(5) and applying the obtained coupling hydrological model to a rainfall and flood process curve for simulating a drainage basin of the karst area to predict the flood volume of the underground river in the karst area.
2. The method as claimed in claim 1, wherein in step (1), the original basic data includes topographic index data and topographic index probability distribution curve.
3. The method for predicting the karst watershed coupling hydrological model as claimed in claim 1, wherein in the step (3), the characteristics of the karst aqueous medium are identified by an attenuation coefficient α in a river flow attenuation equation (1);
Figure FDA0002439768340000031
wherein: any time-t during the decay period; decay onset time-t0(ii) a flow-Q corresponding to time tt；t0flow-Q corresponding to time0The attenuation coefficient is- α;
the attenuation coefficient equation (2) is obtained as:
Figure FDA0002439768340000032
wherein α is in the range of n × 10-1～n×10-4。
4. The karst watershed coupling hydrological model prediction method of claim 1, wherein the duplex rectangular weir flow monitoring station comprises a duplex rectangular flow weir and a monitoring device, the duplex rectangular flow weir comprises a left weir, a right weir and a base, the left weir and the right weir are symmetrical structures, and the left weir comprises a rectangular structure close to a river bank and a stepped rectangular structure; the left weir, the right weir and the base form a compound rectangular weir, and the monitoring device is located upstream of the compound rectangular weir; the compound rectangular weir crest comprises a first layer of thin-wall weir crest and a second layer of bricklaying weir crest.
5. The method according to claim 3, wherein in the step (4), rainfall and rainfall intensity data of karst watersheds are counted to obtain convergence lag time of each watershed, the Topmodel model is subjected to parameter calibration, a flow attenuation rule of a flood period, characteristics of a water-containing medium of the karst watershed system and the proportion of each water storage space are obtained according to the rainfall and the rainfall intensity, an outflow coefficient of the water tank model is calibrated, and the calibrated parameters are input into the primary coupling hydrological model to obtain the corrected coupling hydrological model.
CN201810556700.7A 2018-05-31 2018-05-31 Karst basin coupling hydrological model prediction method Expired - Fee Related CN109063224B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810556700.7A CN109063224B (en) 2018-05-31 2018-05-31 Karst basin coupling hydrological model prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810556700.7A CN109063224B (en) 2018-05-31 2018-05-31 Karst basin coupling hydrological model prediction method

Publications (2)

Publication Number Publication Date
CN109063224A CN109063224A (en) 2018-12-21
CN109063224B true CN109063224B (en) 2020-07-07

Family

ID=64819819

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810556700.7A Expired - Fee Related CN109063224B (en) 2018-05-31 2018-05-31 Karst basin coupling hydrological model prediction method

Country Status (1)

Country Link
CN (1) CN109063224B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111460686B (en) * 2020-04-23 2020-11-03 中国水利水电科学研究院 Atmospheric, land and hydrological three-way coupling method
CN114674880B (en) * 2022-03-11 2022-11-04 中国地质大学（武汉） Device for simulating migration-diffusion process of pollutants between karsts
CN114692471B (en) * 2022-06-01 2023-01-24 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) Karst groundwater system flow network simulation method

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US10502863B2 (en) * 2015-02-13 2019-12-10 Schlumberger Technology Corporation Diagenetic and depositional rock analysis
CN109113788A (en) * 2018-05-31 2019-01-01 中国地质大学（武汉） A kind of Karst Tunnel karst water inflow method

Also Published As

Publication number Publication date
CN109063224A (en) 2018-12-21

Similar Documents

Publication Publication Date Title
CN111369059B (en) Urban waterlogging rapid prediction method and system based on rain and flood simulation coupling model
Russo et al. Analysis of extreme flooding events through a calibrated 1D/2D coupled model: the case of Barcelona (Spain)
Abi Aad et al. Modeling techniques of best management practices: Rain barrels and rain gardens using EPA SWMM-5
Djordjević et al. Experimental and numerical investigation of interactions between above and below ground drainage systems
CN111507375B (en) Urban waterlogging risk rapid assessment method and system
CN108984823B (en) Method for determining scale of combined overflow storage tank
CN109063224B (en) Karst basin coupling hydrological model prediction method
JP2008050903A (en) Flood prediction method and flood prediction system
CN115391712A (en) Urban flood risk prediction method
CN109060003B (en) High-resolution hydrological monitoring method for small watershed karst water system
CN114647881B (en) Urban waterlogging modeling method considering microscopic hydrologic process of building
CN111475950B (en) Method for simulating rainfall flood of concave overpass
Schilling et al. Errors in stormwater modeling—A quantitative assessment
Li et al. Development of 1D and 2D coupled model to simulate urban inundation: an application to Beijing Olympic Village
CN115510771A (en) Community rainfall logging numerical simulation method based on hydrodynamics hydrodynamic coupling model
CN113792367B (en) PySWMM-based drainage system multi-source inflow infiltration and outflow dynamic estimation method
Thorndahl et al. Assessment of runoff contributing catchment areas in rainfall runoff modelling
CN109472102B (en) Bridge and culvert structure calculation method based on ant river basin
Khodashenas et al. Management of urban drainage system using integrated MIKE SWMM and GIS
CN113887053A (en) Municipal drainage data quality assessment method and system for pipe network water flow calculation
Dikici et al. Flood hazard assessment for Alibeyköy watershed in İstanbul with MIKE NAM and MIKE 21
CN106709160B (en) Method for determining accumulative parameters in SWMM software
Basnayaka et al. Comparing hydrology and hydraulics surface routing approaches in modeling an urban catchment
Cao et al. Study on the Whole Process Simulation and Regulation Mechanism of Urban Green Ecological Rainwater Drainage System.
CN110146434B (en) Urban outdoor green road cold plate testing device

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
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200707