CN114168886A - Actual water depth measurement-based valley type ice lake storage capacity estimation method - Google Patents

Actual water depth measurement-based valley type ice lake storage capacity estimation method Download PDF

Info

Publication number
CN114168886A
CN114168886A CN202111489719.2A CN202111489719A CN114168886A CN 114168886 A CN114168886 A CN 114168886A CN 202111489719 A CN202111489719 A CN 202111489719A CN 114168886 A CN114168886 A CN 114168886A
Authority
CN
China
Prior art keywords
ice lake
water depth
lake
depth
ice
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.)
Granted
Application number
CN202111489719.2A
Other languages
Chinese (zh)
Other versions
CN114168886B (en
Inventor
张晓宇
杜世回
张文忠
苗晓岐
赵志强
张利国
秦金德
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 Railway First Survey and Design Institute Group Ltd
Original Assignee
China Railway First Survey and Design Institute Group Ltd
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 Railway First Survey and Design Institute Group Ltd filed Critical China Railway First Survey and Design Institute Group Ltd
Priority to CN202111489719.2A priority Critical patent/CN114168886B/en
Publication of CN114168886A publication Critical patent/CN114168886A/en
Application granted granted Critical
Publication of CN114168886B publication Critical patent/CN114168886B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C13/00Surveying specially adapted to open water, e.g. sea, lake, river or canal
    • G01C13/008Surveying specially adapted to open water, e.g. sea, lake, river or canal measuring depth of open water
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Algebra (AREA)
  • Operations Research (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

The invention relates to a valley type ice lake storage capacity estimation method based on actual measurement of water depth, which solves the problem of low evaluation precision of ice lake burst geological disasters in the prior art. The invention comprises the following steps: (1) interpreting the area of the ice lake by using the multi-time-sequence remote sensing data; (2) firstly, estimating the water depth of the ice lake according to the estimated water depth of the ice lake and an empirical formula, secondly, obtaining the estimation of the average depth of the ice lake according to the relation between the average water depth and the area, and estimating according to a longitudinal section diagram of a main ditch of an ice lake debris flow ditch; (3) the method is characterized in that an unmanned ship sonar detection method is used for comprehensively measuring the water depth of the ice lake and the elevation of the lake bottom; (4) completing elevation data of the lake bottom, completing cross section measurement, completing water depth measurement of ice lake sections at different positions, and estimating according to historical ice lake areas to obtain the maximum reservoir capacity in the flood season; (5) and (3) carrying out comparative analysis on related results, and providing a channel type ice lake storage capacity estimation method: (6) and correcting the empirical formula.

Description

Actual water depth measurement-based valley type ice lake storage capacity estimation method
The technical field is as follows:
the invention belongs to the technical field of evaluation of ice lake burst geological disasters, and relates to a valley type ice lake reservoir capacity estimation method based on actually measured water depth, which is used for improving the evaluation precision of ice lake burst geological disasters.
Background art:
the ice lake burst is a special high-position remote geological disaster in a Qinghai-Tibet plateau area, and because the burst mainly occurs in the 4400-5500m elevation range and is mainly concentrated in the area with few smoke at high altitude, most of manpower is difficult to reach, so that the evaluation of the ice lake burst often has 2 difficulties, namely the calculation of the ice lake reservoir capacity determines the burst flood water quantity, the determination of the ice lake dam body determines whether the ice lake burst occurs, and the reason of the ice lake burst is the same. The calculation of the ice lake reservoir capacity generally has two ideas, namely calculation according to an empirical formula between reservoir capacity and area experience, and estimation of water depth according to characteristics of ice lakes.
The storage capacity of the ice lake can be obtained through multi-stage remote sensing images according to the area, one area of a flood season and a non-flood season can be obtained, and the overall accuracy is high.
The storage capacity of the ice lake is calculated according to the area multiplied by the water depth, 2 methods are provided for the water depth of the ice lake, the storage capacity is estimated through the height determination of a dam body and the section characteristics of a channel, and the storage capacity is calculated through the estimated average water depth of 50m of the Qinghai-Tibet plateau. The storage capacity of the ice lake can be determined according to an empirical formula, wherein V is 0.104A1.42Wherein A is the area of the ice lake. The dam body cannot completely represent the water depth of the ice lake, particularly siltation often exists in the channel, the water depths of different positions of the ice lake are different, the water depth of the ice lake is often calculated too much, the average water depth of 50m estimated by adopting the Qinghai-Tibet plateau is not enough, and the calculation of an empirical formula has errors. In addition, because the forms of the ice lakes are different, the features of the dam bodies are different, the water depth difference is large, and great errors are caused when the reservoir capacity of the ice lakes is estimated by an empirical formula.
Because the depth of the water in the ice lake is difficult to determine, the calculation error of the storage capacity of the ice lake is large, the calculation error of the maximum burst flood flow in the dam break evaluation of the ice lake burst disaster is large, and the risk evaluation difference is large. The risk evaluation of the iced lake burst disaster caused by the defects becomes a difficult problem.
The invention content is as follows:
the invention aims to provide a valley type ice lake reservoir capacity estimation method based on actual measurement of water depth, which solves the problem of low evaluation precision of ice lake burst geological disasters in the prior art, so that the calculation precision of the ice lake burst reservoir capacity is improved, and a basis is provided for ice lake burst geological disaster evaluation.
In order to achieve the purpose, the invention adopts the technical scheme that:
a valley type ice lake storage capacity estimation method based on actual measurement water depth is characterized by comprising the following steps: the method comprises the following steps:
(1) interpreting the area of the ice lake by using the multi-time-sequence remote sensing data;
(2) firstly, estimating the water depth of the ice lake according to the estimated water depth of the ice lake and an empirical formula, secondly, obtaining the estimation of the average depth of the ice lake according to the relation between the average water depth and the area, and estimating according to a longitudinal section diagram of a main ditch of an ice lake debris flow ditch;
(3) reasonably estimating the storage capacity of the ice lake, and comprehensively measuring the water depth and the elevation of the bottom of the ice lake by using an unmanned ship sonar detection method;
(4) completing lake bottom elevation data, running through the whole ice lake, completing cross section measurement, completing water depth measurement of ice lake sections at different positions, and estimating according to historical ice lake areas to obtain the maximum storage capacity in the flood season;
(5) drawing a water depth profile map of the ice lake according to measured data, further estimating the storage capacity of the ice lake according to the profile area and the represented length, and comparing and analyzing related results to provide a channel type ice lake storage capacity estimation method:
the volume V of the ice lake is H A/L/2 45 2049000/7049/2 0.459 108m3
Wherein H is the dam height (m) and A is the ice lake area (m)2) And L is the length (m) of the ice lake.
(6) Comparing and analyzing the ice lake volume calculated according to the actually measured water depth and the ice lake volume calculated by the empirical formula, correcting the empirical formula, and providing correction formulas in different periods: applying flood season correction formula (V0.104A)1.404) (ii) a Correction formula for flood season (V is 0.104A)1.40)。
In the step (3), the step (c),
1) accurately measuring the water depth and elevation in the whole ice lake range, and accurately measuring the terrain in the damming dam range;
2) the scale of the measuring map is 1:500, the positioning center is as consistent as possible with the depth measuring center, and the upper limit difference of an error map in positioning of the positioning point is 2 mm;
3) the depth measurement precision requires +/-0.3 m;
4) the depth ratio of coincident depth points within 1.0mm on the point location graph of the main survey line and the inspection line is less than 0.4m, and the coincidence is carried out when the number of over-limit points exceeds 25% of the total number of the points participating in comparison or the water depth ratio of the point location for splicing the map frames exceeds the limit;
5) the direction of the depth measuring section line is vertical to the main stream or the bank line of the river and is distributed into a sector at the turning position of the river channel; the depth measuring section lines are arranged on the graph at intervals of 1-2 cm, and the distance between depth measuring points is 0.6-0.8 cm;
6) and submitting a result, an underwater topographic map, and drawing a depth measuring longitudinal section and a depth measuring cross section of the ice lake.
Compared with the prior art, the invention has the following advantages and effects:
(1) aiming at the difficult problem of evaluating geological disasters of ice lake outburst in the Qinghai-Tibet plateau area, firstly, calculating the ice lake flood period and the ice lake area in the non-flood period by using multi-time-sequence remote sensing data, and measuring the ice lake water depth in a typical ice lake of the Qinghai-Tibet plateau by using a sonar water depth detection technology of an unmanned ship; secondly, estimating the ice lake storage capacity by adopting various methods according to the obtained large amount of water depth data, wherein the ice lake storage capacity in the flood season and the non-flood season are calculated according to the area and the water depth, and the ice lake storage capacity is estimated according to the actually measured water depth section area and the represented length. Through comparison of various results, the calculated ice lake reservoir capacity corrects an ice lake reservoir capacity empirical formula, so that the calculation precision of the ice lake burst reservoir capacity is improved, and a basis is provided for evaluation of ice lake burst geological disasters.
(2) The method determines the area of the ice lake by applying the influence of multi-time sequence remote sensing, and can depict the areas of the ice lake in the flood season and the non-flood season, thereby laying a foundation for calculating the storage capacity of the ice lake.
(3) According to the invention, the actual measurement of the water depth is carried out on the typical ice lake in Qinghai-Tibet plateau by using the unmanned aerial vehicle sonar detection technology, the maximum error between the water depth determined by section estimation and the water depth calculated by an empirical formula is 20-55% compared with the actual measurement of the water depth, and the deviation of the water depth calculated by the empirical formula is larger.
(4) According to the invention, the storage capacity of the ice lake is calculated by using three methods of area and water depth product, empirical formula and section estimation according to actual measurement results, so that the storage capacity of the ice lake is more scientific and reasonable.
(5) The invention provides an ice lake volume estimation method based on ice lake area, length and dam height according to the valley type ice lake water depth distribution characteristics, wherein V is H A/L/2.
(6) The invention corrects the empirical formula for calculating the water depth of the ice lake according to the area of the ice lake. The area of the ice lake is easy to obtain, the water depth is difficult to obtain, but the error of the water depth of the ice lake calculated by the conventional ice lake water depth empirical calculation formula is large, the empirical formula for calculating the water depth according to the area is revised again according to the actual measurement result, and the specific flood season revision result is that h is 0.104A0.40(ii) a The correction result h is 0.104A in the non-flood period0.38
(7) According to the invention, according to the latest achievement, the empirical formula of the ice lake storage capacity is corrected according to the ice lake area, wherein the calculation formula of the ice lake storage capacity in the flood season is corrected to be V0.104A1.404The reservoir capacity calculation formula in the non-flood period is corrected to be V0.104A1.388Therefore, the precision of risk assessment of the iced lake burst disaster is improved, and the assessment result is ensured to be scientific and reasonable.
Description of the drawings:
FIG. 1 is a remote sensing interpretation diagram of frozen wrong yeast ice lake according to the invention;
FIG. 2 is a comparison graph of the areas of a frozen wrong curved dammed lake (ice lake) in the flood season and the non-flood season;
FIG. 3 is a water depth actually measured section line of a frozen wrong-bent ice lake;
FIG. 4 is a water depth cross-sectional view of an AA' profile ice lake;
FIG. 5 is a water depth cross-sectional view of a BB' section ice lake;
FIG. 6 is a water depth cross-sectional view of a CC' section ice lake;
FIG. 7 is a water depth cross-sectional view of a DD' section ice lake;
FIG. 8 is a water depth cross-sectional view of an EE' section ice lake;
FIG. 9 is a water depth cross-sectional view of an FF' section ice lake;
FIG. 10 is a GG' profile ice lake water depth cross-sectional view.
The specific implementation mode is as follows:
in order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1-10, the invention provides a novel method for actually measuring the depth of water in a valley type ice lake based on actually measured depth of water, and provides a method for actually measuring the depth of water in the ice lake in a high-altitude unmanned area in the Qinghai-Tibet plateau by using an unmanned ship sonar detection technology. According to a large number of actual measurement results, an empirical formula for calculating the ice lake storage capacity according to the ice lake area is corrected, the corrected formula is divided into the flood season and the non-flood season, and the accuracy of ice lake outburst disaster risk assessment is improved.
The invention is realized by the following steps:
(1) interpreting the area of the ice lake by using the multi-time-sequence remote sensing data;
(2) firstly, estimating the water depth of the ice lake according to the estimated water depth of the ice lake and an empirical formula, secondly, obtaining the estimation of the average depth of the ice lake according to the relation between the average water depth and the area, and estimating according to a longitudinal section diagram of a main ditch of an ice lake debris flow ditch;
(3) reasonably estimating the storage capacity of the ice lake, and comprehensively measuring the water depth and the elevation of the bottom of the ice lake by using an unmanned ship sonar detection method, wherein the method comprises the following steps:
1) accurately measuring the water depth and elevation in the whole ice lake range, and accurately measuring the terrain in the damming dam range;
2) the scale of the measuring map is 1:500, the positioning center is as consistent as possible with the depth measuring center, and the upper limit difference of an error map in positioning of the positioning point is 2 mm;
3) the depth measurement precision requires +/-0.3 m;
4) the depth ratio of coincident depth points within 1.0mm on the point location graph of the main survey line and the inspection line is less than 0.4m, and the coincidence is carried out when the number of over-limit points exceeds 25% of the total number of the points participating in comparison or the water depth ratio of the point location for splicing the map frames exceeds the limit;
5) the direction of the depth measuring section line is vertical to the main stream or the bank line of the river and is distributed into a sector at the turning position of the river channel; the depth measuring section lines are arranged on the graph at intervals of 1-2 cm, and the distance between depth measuring points is 0.6-0.8 cm;
6) and submitting a result, an underwater topographic map, and drawing a depth measuring longitudinal section and a depth measuring cross section of the ice lake.
(4) Completing elevation data of the lake bottom, basically penetrating the whole ice lake, completing measurement of a cross section, completing water depth measurement of ice lake sections at different positions, and estimating according to the historical ice lake area to obtain the maximum reservoir capacity in the flood season;
(5) drawing a water depth profile map of the ice lake according to measured data, further estimating the storage capacity of the ice lake according to the profile area and the represented length, and comparing and analyzing related results to provide a channel type ice lake storage capacity estimation method:
the volume V of the ice lake is H A/L/2 45 2049000/7049/2 0.459 108m3
Wherein H is the dam height (m) and A is the ice lake area (m)2) And L is the length (m) of the ice lake.
(6) Comparing and analyzing the ice lake volume calculated according to the actually measured water depth and the ice lake volume calculated by the empirical formula, correcting the empirical formula, and providing correction formulas in different periods: applying flood season correction formula (V0.104A)1.404) (ii) a Correction formula for flood season (V is 0.104A)1.40)。
Example (b):
the invention relates to remote sensing interpretation, metrology, unmanned ship detection technology, geological disaster assessment and the like, and the experiment is applied to the calculation of the water depth of a frozen and misfrozen curved ice lake and the calculation of the burst of the ice lake, and the main steps comprise the following aspects:
1. and interpreting the area of the frozen wrong yeast ice lake by using the multi-time-sequence remote sensing data. Analyzing and interpreting images of the frozen wrong-song dam lake (ice lake) in the United states Landsat-1-Landsat-8 satellite 1973 to 2018 to obtain the area change of the lake water in the annual flood season and the non-flood season of the frozen wrong-song dam lake (ice lake), wherein due to the influence of cloud cover, the number of usable images in the flood season is small, 10 groups of images in the flood season are finally screened out according to the annual sequence, 6 groups of images in the non-flood season are calculated, the area of the frozen wrong-song ice lake is calculated, and the statistical result shows that the area change of the lake water in the flood season and the non-flood season of the frozen wrong-song dam lake (ice lake) is large from 1973 to 2018, and the area change of the lake water in the flood season and the area of the lake water in the flood season is 1.51-2.04 km2Unequal, the area of lake water in the non-flood season is 1.47-1.72 km2Are not equal.
TABLE 1 statistical table of water areas of wrongly frozen curved barrage lakes (ice lakes)
Figure BDA0003397936000000071
2. Firstly estimating the water depth of the ice lake according to the estimated water depth of the ice lake and an empirical formula, secondly obtaining the estimation of the average depth of the dammed lake (ice lake) according to the relation between the average water depth and the area, estimating the average water depth to be 40.05m according to a longitudinal section diagram of a main channel of a debris flow channel of the frozen-faulted dammed lake (ice lake), and calculating the storage capacity to be 0.604-0.820 hundred million m in the flood season according to the unified water depth3The storage capacity in the non-flood season is 0.522-0.601 hundred million m3. According to the empirical formula h is 0.104A0.42Calculating the water depth of the flood season and the non-flood season, wherein the water depth of the non-flood season is 40.5-43.20 m, the water depth of the flood season is 40.9-46.5 m, and the water depth of the flood season is calculated according to the condition that V is 0.104A1.42Calculating the storage capacity of 0.618-0.954 hundred million m in flood season3The storage capacity in the non-flood season is 0.598-0.741 hundred million m3
TABLE 2 speculation on Cross sectionIce lake reservoir capacity calculated by water depth (10)8m3)
Figure BDA0003397936000000072
TABLE 3 statistical table of reservoir capacity of misfrozen curved barrier lake (ice lake) calculated according to empirical formula
Figure BDA0003397936000000081
3. As the estimation of the water depth of the ice lake on the storage capacity of the ice lake is greatly influenced, in order to reasonably estimate the storage capacity of the ice lake, the unmanned ship sonar detection technology is applied to comprehensively measure the water depth of the ice lake,
(1) power and electrical parameters, endurance and time 3 hours, maximum navigational speed 4.5m/s, power plant: the detachable modularized ducted propeller supports the special function of a non-steering engine and the 'backing' navigation technology.
(2) The shore-based base station supports a Windows operating system, a radio frequency point-to-point communication mode is implemented, the transmission distance is 2km from a radio station, and the navigation mode is manually or automatically switched at will.
(3) The intelligent remote controller is used for implementing the functions of radio frequency point-to-point, action distance of 2km, waterproof level IP65 and navigation mode of switching working mode, controlling ship speed, steering and the like, and displaying basic information of the unmanned ship in real time.
(4) The depth measurement range is 0.15-300 m, the depth measurement precision is 1cm +/-percent h (h is the water depth), and 1cm is the water depth resolution.
(5) RTK positioning accuracy, level: . + -. 8mm +1ppm RMS, perpendicular: 15mm +1ppmRMS SBAS:1 cmCEP.
(6) Ship control software, autonomous navigation, ship parameter control, coordinate conversion and the like. The HiMAX depth measurement software has the functions of depth measurement parameter setting, coordinate conversion, water depth acquisition, navigation, post-processing and the like.
4. The measurement date is between 2019 and 10 months, the ice lake is still in a small amount of overflow states and is in an non-flood period, the water depth and the lake bottom elevation of the whole ice lake are measured by using an unmanned ship sonar depth measurement technology, and the main requirements are as follows:
(1) the water depth and the elevation in the whole ice lake range are accurately measured, and the terrain in the damming dam range is accurately measured.
(2) The scale of the measuring map is 1:500, the positioning center is consistent with the depth measuring center as far as possible, and the upper limit difference of an error map in positioning of the positioning point is 2 mm.
(3) The depth measurement precision requires +/-0.3 m;
(4) the depth ratio of coincident depth points within 1.0mm on the point location graph of the main survey line and the inspection line is less than 0.4m, and the coincidence is carried out when the number of over-limit points exceeds 25% of the total number of the points participating in comparison or the water depth ratio of the point location for splicing the map frames exceeds the limit.
(5) The direction of the depth-measuring section line is generally vertical to the main stream or the bank line of the river, and the depth-measuring section line can be arranged into a fan shape at the turning position of the river channel. The depth measuring cross section lines are generally arranged on the graph at intervals of 1-2 cm, and the distance between depth measuring points is generally 0.6-0.8 cm on the graph.
(6) And submitting a result, an underwater topographic map, and drawing a depth measuring longitudinal section and a depth measuring cross section of the ice lake.
5. According to the actual measurement result, the highest point of the barrage dam is 4049.5m, the water surface elevation is 4045.9m, 1427 groups of lake bottom elevation data are totally completed, the whole ice lake is basically penetrated, 7 groups of cross section measurement (shown in figures 4-10) are completed, and water depth measurement of ice lake sections at different positions is completed. According to the highest point of the dam top, the maximum water depth of the ice lake is 31m (in the non-flood period) actually measured at this time, the average water depth is 23m (in the non-flood period), the actually measured water depth is close to the water depth in the non-flood period, the difference between the highest point of the dam top and the water surface elevation is 3.6m, therefore, the maximum water depth in the flood period is calculated to be 34.6m, and the average water depth in the flood period is 26.6 (m). Estimating according to the historical ice lake areas respectively to obtain the maximum storage capacity of 0.507-0.688 hundred million m in flood season3The maximum storage capacity in the non-flood period is 0.392-0.456 hundred million m3
Table 4 application of maximum water depth (34.6m) in flood season and maximum water depth (31m) in non-flood season to reestimate ice lake reservoir capacity
Figure BDA0003397936000000101
6. Through comparative analysis, the maximum flood season water depth (34.6m) calculated according to the measured water depth and the dam top elevation is 5.9m shallower than the water depth (40.5m) estimated by using the section, the error reaches 17%, the maximum flood season water depth (46.5m) estimated by an empirical formula is 12.9m shallower, and the error reaches 38.8%. The maximum water depth (31m) in the flood season calculated according to the actual water depth is 9.5m shallower than the water depth estimated by using the section, the error is up to 30%, and the maximum water depth (46.5m) estimated by using the empirical formula is 15.5m shallower, and the error is up to 50%. Therefore, the difference between the water depth of the ice lake calculated by section estimation and an empirical formula and an actual measurement result is great, and the accuracy of ice lake burst calculation is influenced.
7. And drawing 7 ice lake water depth sectional views according to the measured data, wherein the concrete section line is shown in figure 3, further estimating the freezing wrong yeast storage capacity according to the sectional area and the represented length, and comparing and analyzing related results. Through comparison of actual measurement data, the deepest part of the channel type ice lake is located near the dam body, for example, the maximum frozen wrong water depth of 31.9m is located near AA' (fig. 4), meanwhile, a certain gradient exists in the channel, the water depth of the ice lake gradually decreases towards the upstream, and the water surface of the ice lake is the same height, so that the channel type ice lake storage capacity estimation method is provided.
(1) Reading elevation H1 at the slope angle of the dam body, elevation H2 at the tail of the ice lake reservoir and length L of the ice lake according to a topographic map, assuming that the maximum water depth is the height of the dam and the minimum water depth is 0, calculating the longitudinal slope of the gully as i ═ H2-H1/L, wherein the water depth of the whole dam body is linearly distributed, the longitudinal water depth is gradually reduced according to the gradient of the gully, and the area in the longitudinal direction is A1(H2-H1) L/2, where H2-H1 can be considered approximately as the dam height H, assuming a dam height of 45 m.
(2) And estimating the average width d of the ice lake according to the area and the length of the ice lake, wherein d1 is A/L2049000/7049 is 290 m.
(3) The volume V of the ice lake is H A/L/2 45 2049000/7049/2 0.459 108m3
Wherein H is the dam height (m) and A is the ice lake area (m)2) L is the length (m) of the ice lake
8. Calculated according to actual water depth, ice lake volume and empirical formulaComparing and analyzing the volume of the ice lake, correcting an empirical formula, wherein the storage capacity of the ice lake is 0.74-0.84 times of the calculation result of the empirical formula in the flood season and is 0.78 times of the average storage capacity of the ice lake, and correcting the storage capacity calculation formula of the flood season to be V-0.104A1.404And the calculation result is 0.94-1.06 times of the maximum water depth and area calculation reservoir capacity in the flood season, and the average is 1.01 times. The ice lake storage capacity in the non-flood season is 0.72-0.76 times of the calculation result of the empirical formula, the average is 0.74 times, and the non-flood season storage capacity calculation formula is corrected to be V0.104A1.40And calculating the average value of the calculated result to be 1.01 times by using the maximum water depth and area of the reservoir capacity in the non-flood season, wherein the calculated result is 0.98-1.14 times. The calculation accuracy of the ice lake storage capacity is improved, and correction formulas in different periods are provided.
Table 5 flood season correction formula (V ═ 0.104 × a)1.404) And the non-flood period correction formula (V is 0.104A)1.40) Reestimating the capacity of the ice lake
Figure BDA0003397936000000111
9. Calculating the ice lake storage capacity of the 10-month non-flood period of 2019 to be 0.275 x 10 according to the area of each section lake water and the length represented by the area8m3(fig. 3-10), is generally smaller than the flood season storage capacity calculated by various methods. And the reliability and the safety of calculating the ice lake reservoir capacity by applying the dam height and the longitudinal slope of the valley, calculating the ice lake reservoir capacity by using the actually measured maximum water depth and area and calculating the reservoir capacity by using a corrected empirical formula are also verified.
TABLE 6 calculation of ice lake storage capacity based on measured section
Figure BDA0003397936000000121
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structural changes made by using the contents of the specification and the drawings of the present invention should be included in the scope of the present invention.

Claims (2)

1. A valley type ice lake storage capacity estimation method based on actual measurement water depth is characterized by comprising the following steps: the method comprises the following steps:
(1) interpreting the area of the ice lake by using the multi-time-sequence remote sensing data;
(2) firstly, estimating the water depth of the ice lake according to the estimated water depth of the ice lake and an empirical formula, secondly, obtaining the estimation of the average depth of the ice lake according to the relation between the average water depth and the area, and estimating according to a longitudinal section diagram of a main ditch of an ice lake debris flow ditch;
(3) reasonably estimating the storage capacity of the ice lake, and comprehensively measuring the water depth and the elevation of the bottom of the ice lake by using an unmanned ship sonar detection method;
(4) completing lake bottom elevation data, running through the whole ice lake, completing cross section measurement, completing water depth measurement of ice lake sections at different positions, and estimating according to historical ice lake areas to obtain the maximum storage capacity in the flood season;
(5) drawing a water depth profile map of the ice lake according to measured data, further estimating the storage capacity of the ice lake according to the profile area and the represented length, and comparing and analyzing related results to provide a channel type ice lake storage capacity estimation method:
the volume V of the ice lake is H A/L/2 45 2049000/7049/2 0.459 108m3
Wherein H is the dam height (m) and A is the ice lake area (m)2) And L is the length (m) of the ice lake.
(6) Comparing and analyzing the ice lake volume calculated according to the actually measured water depth and the ice lake volume calculated by the empirical formula, correcting the empirical formula, and providing correction formulas in different periods: applying flood season correction formula (V0.104A)1.404) (ii) a Correction formula for flood season (V is 0.104A)1.40)。
2. The method for estimating the storage capacity of the valley type ice lake based on the measured water depth as claimed in claim 1, wherein: in the step (3), the step (c),
1) accurately measuring the water depth and elevation in the whole ice lake range, and accurately measuring the terrain in the damming dam range;
2) the scale of the measuring map is 1:500, the positioning center is as consistent as possible with the depth measuring center, and the upper limit difference of an error map in positioning of the positioning point is 2 mm;
3) the depth measurement precision requires +/-0.3 m;
4) the depth ratio of coincident depth points within 1.0mm on the point location graph of the main survey line and the inspection line is less than 0.4m, and the coincidence is carried out when the number of over-limit points exceeds 25% of the total number of the points participating in comparison or the water depth ratio of the point location for splicing the map frames exceeds the limit;
5) the direction of the depth measuring section line is vertical to the main stream or the bank line of the river and is distributed into a sector at the turning position of the river channel; the depth measuring section lines are arranged on the graph at intervals of 1-2 cm, and the distance between depth measuring points is 0.6-0.8 cm;
6) and submitting a result, an underwater topographic map, and drawing a depth measuring longitudinal section and a depth measuring cross section of the ice lake.
CN202111489719.2A 2021-12-08 2021-12-08 Method for estimating capacity of gully type ice lake based on measured water depth Active CN114168886B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111489719.2A CN114168886B (en) 2021-12-08 2021-12-08 Method for estimating capacity of gully type ice lake based on measured water depth

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111489719.2A CN114168886B (en) 2021-12-08 2021-12-08 Method for estimating capacity of gully type ice lake based on measured water depth

Publications (2)

Publication Number Publication Date
CN114168886A true CN114168886A (en) 2022-03-11
CN114168886B CN114168886B (en) 2024-04-30

Family

ID=80484197

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111489719.2A Active CN114168886B (en) 2021-12-08 2021-12-08 Method for estimating capacity of gully type ice lake based on measured water depth

Country Status (1)

Country Link
CN (1) CN114168886B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116625329A (en) * 2023-07-24 2023-08-22 新兴际华(北京)智能装备技术研究院有限公司 Method, system, electronic equipment and storage medium for determining barrier lake information

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2415992C1 (en) * 2009-09-09 2011-04-10 Государственное образовательное учреждение высшего профессионального образования Марийский государственный технический университет Method of hydrometric measurements of river bottom and flood land profile
CN106250635A (en) * 2016-08-02 2016-12-21 中国科学院水利部成都山地灾害与环境研究所 The prevention and controls of a kind of ice-lake breach type mud-rock flow and application thereof
CN110849335A (en) * 2019-12-06 2020-02-28 江苏师范大学 Remote sensing rapid determination method for reservoir capacity of dammed lake water of waterless underground form data
CN111324952A (en) * 2020-02-17 2020-06-23 中国科学院水利部成都山地灾害与环境研究所 Ice lake volume estimation method for acquiring water level based on multi-source remote sensing data

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2415992C1 (en) * 2009-09-09 2011-04-10 Государственное образовательное учреждение высшего профессионального образования Марийский государственный технический университет Method of hydrometric measurements of river bottom and flood land profile
CN106250635A (en) * 2016-08-02 2016-12-21 中国科学院水利部成都山地灾害与环境研究所 The prevention and controls of a kind of ice-lake breach type mud-rock flow and application thereof
CN110849335A (en) * 2019-12-06 2020-02-28 江苏师范大学 Remote sensing rapid determination method for reservoir capacity of dammed lake water of waterless underground form data
CN111324952A (en) * 2020-02-17 2020-06-23 中国科学院水利部成都山地灾害与环境研究所 Ice lake volume estimation method for acquiring water level based on multi-source remote sensing data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116625329A (en) * 2023-07-24 2023-08-22 新兴际华(北京)智能装备技术研究院有限公司 Method, system, electronic equipment and storage medium for determining barrier lake information
CN116625329B (en) * 2023-07-24 2023-10-20 新兴际华(北京)智能装备技术研究院有限公司 Method, system, electronic equipment and storage medium for determining barrier lake information

Also Published As

Publication number Publication date
CN114168886B (en) 2024-04-30

Similar Documents

Publication Publication Date Title
CN107990891B (en) Underwater robot combined navigation method based on long baseline and beacon online calibration
CN109345777A (en) Mountain torrents debris flow early-warning method and system based on abrupt slope confluence and section flow rate calculation
CN102135531A (en) Method for forecasting blue-green algae water bloom in large-scale shallow lake within 72 hours
CN112987067B (en) Combined navigation ocean current speed estimation method and device and processor
CN113532392B (en) Ocean current measuring method based on surface drifting buoy
CN115147239B (en) Method for calculating environmental background water temperature and calculating temperature rise of newly-built coastal power plant temperature rise area
CN113739707B (en) Sea ice information extraction method
CN114838709B (en) Automatic monitoring method for dry beach length of tailing pond
CN110726445A (en) Tidal river reach pollutant flux online monitoring system and method
CN114168886A (en) Actual water depth measurement-based valley type ice lake storage capacity estimation method
Mullison et al. ADCP data collected from a Liquid Robotics Wave Glider®
Karušs et al. Drainage system and thermal structure of a High Arctic polythermal glacier: Waldemarbreen, western Svalbard
CN115290055A (en) Coastal zone SBT-DEM construction method based on unmanned aerial vehicle and unmanned ship
CN113836740B (en) Historical space information calculation method for high-water-level coal mining subsidence water accumulation area
Bruland et al. Snow distribution at a high Arctic site at Svalbard
CN113254850B (en) River channel sludge amount monitoring and calculating method
CN115435674B (en) Method for jointly inverting North sea ice snow depth through field observation and satellite remote sensing
CN111966965A (en) Buoy sinking stone displacement identification method and device
Matte et al. A robust estimation method for correcting dynamic draft error in PPK GPS elevation using ADCP tilt data
Sandoval-Erazo et al. Sedimentological study of the reservoir of the Manduriacu hydroelectric project, northern Ecuador
Mezouar et al. Coastal processes and longshore sediment transport along Zemmouri Bay, Central East Coast of Algeria
Shin et al. A study on airborne LiDAR calibration and operation techniques for bathymetric survey
CN111121718A (en) Reservoir capacity and sludge amount accurate detection system and measurement method
VanLOOY et al. Use of historical elevation data to calculate surface-elevation and volume changes of Ha-Iltzuk Icefield, southwest British Columbia, Canada, 1970 to mid-1980s
CN116625328B (en) Lake water volume determining method, device, electronic equipment and storage medium

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