CN113106916A - River and lake interaction quantification method for river and lake intersection riverway based on relationship between lake water level-flow and water level-area - Google Patents
River and lake interaction quantification method for river and lake intersection riverway based on relationship between lake water level-flow and water level-area Download PDFInfo
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Abstract
The invention discloses a river and lake interaction quantification method of a river and lake intersection river channel based on a relation between lake water level-flow and water level-area, which comprises the following steps: s1, grouping the water level and flow data of the branch lake outlet by flow intervals such as main flow and the like, and constructing a water level-flow relation curve of the lake outlet in each group; s2, calculating the average distance between every two adjacent lines in the serial water level-flow relation curve of the lake outlet, and extracting the water level change of the branch lake under the same flow rate caused by the change of the hydrological condition of the main stream; s3, interpreting the distribution area of the lake water area based on the remote sensing image, and constructing a lake water level-area relation curve with the actually measured water level data; and S4, calculating the change of the lake water storage capacity corresponding to the change of the lake outlet water level in S2 by combining the lake water level-area relation curve. The method is suitable for river (river) and lake intersection riverways with complex hydrographic and hydrodynamic interaction, and is simple and convenient to operate, convenient to popularize and apply.
Description
Technical Field
The invention relates to the technical field of water body interaction quantification, in particular to a river and lake interaction quantification method for a river and lake intersection river channel based on the relation between lake water level-flow and water level-area.
Background
Extremely complex hydrohydrodynamic interactions often exist between flooded lakes and rivers into which they are merging, such as: the Dongting lake and the Poyang lake in the midstream of the Yangtze river, the Lissajous lake in the downstream of the Mei river and the like all converge into the main stream in the flat period and play a role in replenishing the main stream; and receives the main flow to shunt or flow backwards in the flood season or the high flood period, so as to become an important flood regulation and storage area for the main flow flood. Therefore, river and lake interaction of river and lake crossing river channels is extremely complex, and has important influence on relevant water bodies (including branch lakes and main streams thereof). In recent years, under the background that extreme rainstorm and drought events are frequent due to global climate change, the influence of hydraulic engineering on the water conditions of rivers and lakes is intensified, the interaction dynamic balance relationship of the rivers and lakes formed by the river (river) and lake intersection river channels for a long time is broken, and the hydrological conditions of the river (river) and lake system are remarkably changed. Therefore, scientific quantification of river/lake interaction of river/lake intersection river channels becomes a technical problem to be solved urgently in current research in the field of hydrological change, and has important significance on river/lake water resource management under the influence of climate change and human activities
Generally speaking, the influence of the main stream on the branch lake is mainly exerted by jacking the branch lake outflow, for example, the Yangtze river has jacking effect on both the Dongtze lake and the Poyang lake outflow, so that the rich water period of both lakes occurs in the middle stage of precipitation concentration of the main stream of the Yangtze river (7-9 months), but not in the middle stage of precipitation concentration of the basin of both lakes (4-6 months). The reason for this phenomenon is that the supporting effect of the Yangtze river main stream of 4-6 months on the outflow of the two lakes is weak, and lake water can smoothly flow into and flow out of the Yangtze river; and the flow of the Yangtze river is increased in 7-9 months, the jacking effect on the outflow of the two lakes is enhanced (even backward flow is generated), and the water level of the two lakes is increased to force the outflow of the two lakes to enter a rich water period. On the other hand, the influence of the branch lake on the water condition of the downstream main stream is mainly reflected in the change of the water supply amount of the branch lake. That is, changes in the water capacity of the branch lake can affect the water flow of the main stream by changing its ability to replenish the main stream. For example, the supply capacity of the Poyang lake to the downstream Yangtze river is reduced due to the local withering trend in recent years, so that the water condition of the downstream Yangtze river also shows a local withering trend, and the risks of seawater backflow, silt erosion and the like of the Yangtze river at the sea entrance are aggravated.
The traditional interaction research of rivers and lakes is mostly carried out based on a hydrographic hydrodynamic model, namely, a single-factor control experiment is adopted, and the interaction among related water bodies is researched by changing boundary conditions such as the flow of a branch lake entering the lake or the flow of a main stream. However, quantitative characterization indexes with direct physical significance to river and lake interaction are not formed in previous researches, and river and lake interaction is only indirectly described by substituting indexes from the side.
The water level-flow relationship may reflect the drainage capacity of the water body. The relation between the water level and the flow of the tributary lake under different hydrological conditions of the main flow can directly reflect the influence of the jacking action strength of the main flow on the water condition of the tributary lake. The remote sensing means can directly extract the area of the lake water area, and a lake water level-area relation curve is established by combining the actually measured hydrological data, so that the change of the lake water storage capacity caused by the change of the lake water level is calculated, and the change of the supply capacity of the branch lake to the main stream can be directly quantized.
In view of this, for a region of a river/lake crossing river channel with complex hydromechanical interaction, it is necessary to provide a river/lake crossing river/lake interaction quantification method based on a lake water level-flow relationship and a water level-area relationship, so as to directly reflect changes of river/lake interaction under the influence of climate changes and human activities, and serve for water resource management and decision making of a complex water system.
Disclosure of Invention
The invention aims to solve the technical problem of providing a river and lake interaction quantification method of a river and lake intersection riverway based on the relation between lake water level-flow and water level-area, which is suitable for the river and lake intersection riverway with complex hydromechanical interaction, and is simple and convenient to operate, and convenient to popularize and apply.
In order to solve the technical problems, the invention provides a river and lake interaction quantification method of a river and lake intersection river based on the relation between lake water level-flow and water level-area, which comprises the following steps:
s1, grouping the water level and flow data of the branch lake outlet by flow intervals such as main flow and the like, and constructing a water level-flow relation curve of the lake outlet in each group;
s2, calculating the average distance between every two adjacent lines in the serial water level-flow relation curve of the lake outlet, and extracting the water level change of the branch lake under the same flow rate caused by the change of the hydrological condition of the main stream;
s3, interpreting the distribution area of the lake water area based on the remote sensing image, and constructing a lake water level-area relation curve with the actually measured water level data;
and S4, calculating the change of the lake water storage capacity corresponding to the change of the lake outlet water level in S2 by combining the lake water level-area relation curve, and representing the influence of the branch lake on the main stream water condition by changing the supply capacity of the branch lake on the main stream.
Preferably, in step S1, grouping the water level and flow data of the tributary lake outlets by using the flow intervals such as the main flow, and constructing a water level-flow relation curve of the lake outlets in each group specifically includes: calculating a main flow key hydrological station multi-year day-average flow sequence near a river (river) lake intersection river channel, setting a reasonable step length in an effective value range, dividing the sequence into n equal flow interval intervals, and grouping water level and flow observation data of lake outlets under the limiting condition to obtain lake outlet water level and flow observation data under different flow conditions of main flow;
and for the lake outlet water level and flow data in each group, fitting a water level-flow relation curve by adopting the following equation:
wherein HlakeWater level data of a hydrological station at the lake outlet is in the unit of m; qlakeIs the flow data of the hydrological station at the outlet of the lake, and the unit is m3I is a lake hydrological data grouping number divided according to the main flow interval; and a and b are fitting parameters.
Preferably, in the process of dividing the equal flow intervals of the main flow, the value n (the number of groups) is at least greater than 10, and the value range of the main flow is further enlarged according to the calculation precision; the division step length of the flow interval is determined according to the value range of the n value and the main flow, and the value is approximately equal to
Preferably, in step S2, the average distance between two adjacent lines in the lake outlet series water level-flow relation curve is calculated, and the extraction of the water level change of the tributary lake at the same flow rate caused by the change of the main stream hydrological conditions is specifically: solving the following equation set, and calculating the average distance of each group of adjacent curves in the series of water level-flow relation curves of the lake outlet in an effective value range, namely the water level change of the tributary lake caused by the change of the main flow condition:
wherein HlakeAnd QlakeWater level (m) and flow data (m) of a lake outlet hydrological station respectively3S), i is the grouping number, a, b are the fitting parameters, diThe average distance between the ith water level-flow relation curve and the (i +1) th water level-flow relation curve is the water level amplitude of the lake outlet at the same flow rate caused by the rising of the main flow rate in the ith interval to the (i +1) th interval.
Preferably, in step S3, interpreting the distribution area of the lake water area based on the remote sensing image, and constructing a lake water level-area relation curve with the measured water level data specifically includes: the Landsat image covering the lake region is subjected to Normalized Difference Water Index (NDWI) calculation, and the formula is as follows:
NDWI＝(p(Green)-p(NIR))/(p(Green)+p(NIR))，
the NDWI is a normalized water body index, and p (Green) and p (NIR) are pixel values of a green wave band and a near infrared wave band of a remote sensing image respectively;
then, selecting a reasonable threshold value (such as NDWI >0) of NDWI to extract the lake water area range, counting the total area of the lake water area range, corresponding the total area of the lake water area range to the lake outlet water bit data of the observation date of the remote sensing image one by one, and establishing a lake water level-area relation curve S (h).
Preferably, in step S4, the lake water storage capacity change corresponding to the lake outlet water level change in S2 is calculated by combining the lake water level-area relationship curve, and the influence of the change of the main flow replenishing capacity of the branch lake on the main flow water regime by representing the branch lake is specifically: according to the relation curve of the lake water level and the area, calculating the lake water storage capacity change corresponding to the lake water level change caused by the change of the main flow in S2:
wherein V refers to the amount of change of the water storage capacity of the lake, haAnd hbRespectively the water level amplitude d of the lakeiStarting and ending values of (i.e. d)i＝hb-ha) And S (h) is the lake level-area relation curve established in S3.
The invention has the beneficial effects that: the method can effectively realize the complex interaction between the branch lake and the main stream of the Li Qing river (river) lake intersection river channel, and achieves the dual purposes of simultaneously calculating the influence of the main stream flow on the lake water level and the influence of the lake water storage capacity change on the main stream supply capacity by combining three calculation modes of the division of the main stream flow interval, the calculation of the lake water level change under different main stream flow conditions and the calculation of the corresponding lake water storage capacity change; the operation is simple and convenient, and the required cost is low.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
Fig. 2 is a schematic diagram of grouping lake outlet hydrological data by using a main stream flow interval and fitting a relation curve of lake level-flow in each group in embodiment 1 of the present invention.
Fig. 3 is a schematic diagram of water level changes at the same flow rate of a lake outlet hydrological station caused by calculating different main flow rate conditions in embodiment 1 of the present invention.
Fig. 4 is a schematic diagram of a lake water level-area relationship curve established based on the lake water area interpreted by the Landsat remote sensing image and corresponding water level observation data in embodiment 1 of the present invention.
FIG. 5 is a schematic diagram showing the change of the replenishment capacity of the lake for the main stream under different main stream flow conditions, which is characterized by the change of the water storage capacity of the lake in embodiment 1 of the present invention.
Detailed Description
As shown in fig. 1, a method for quantifying interaction between rivers and lakes in a river-lake intersection river based on relationship between lake water level-flow and water level-area comprises the following steps:
s1, grouping the water level and flow data of the branch lake outlet by flow intervals such as main flow and the like, and constructing a water level-flow relation curve of the lake outlet in each group;
s2, calculating the average distance between every two adjacent lines in the serial water level-flow relation curve of the lake outlet, and extracting the water level change of the branch lake under the same flow rate caused by the change of the hydrological condition of the main stream;
s3, interpreting the area of the lake water area based on the remote sensing image, and constructing a lake water level-area relation curve with the actually measured water level data;
and S4, calculating the change of the lake water storage capacity corresponding to the change of the lake outlet water level in S2 by combining the lake water level-area relation curve, and representing the influence of the branch lake on the main stream water condition by changing the supply capacity of the branch lake on the main stream.
The method specifically comprises the following steps:
firstly, selecting a main flow key hydrological control station near a river and lake intersection, calculating a multi-year average daily flow sequence of the main flow key hydrological control station, and dividing equal flow intervals of the main flow key hydrological control station. And then, grouping the water level and flow data of the lake outlet hydrological station by taking the flow intervals of the main flow and the like as limiting conditions, and fitting the lake outlet water level-flow relation curve in each group. On the basis, the average distance between every two adjacent water level-flow relation curves in the series of water level-flow relation curves of the lake outlet is calculated, namely the water level change of the lake outlet under the same flow caused by different main flow conditions is used as the influence of the main flow hydrological conditions on the water conditions of the branch flow lake.
Meanwhile, remote sensing is carried out to interpret the area data of the water areas of the multi-period lakes, a lake water level-area relation curve is established with the actually measured hydrological data, the change of the water storage capacity corresponding to the change of the lake water level is calculated according to the lake water level-area relation curve, and the influence of the lake on the water condition of the main stream by changing the supply capacity of the lake on the main stream is represented according to the lake water level-area relation curve.
Taking the interaction calculation of Yanghu and Yanghu of a large Yangtze river lake in the middle trip of the Yangtze river as an example, the scheme comprises the following steps:
s1, calculating the average daily flow of the Yangtze river trunk flow Hankou station (located near the water inlet passage of the Yanghu river) in 1980-The value range of the quantity sequence is calculated to be 5520m3/s～71000m3And s. Selecting n as 21, namely dividing the flow of the Hankou station into 21 equal interval intervals, wherein the interval step length is 3000m3And/s, grouping the Poyang lake outlet station water level and flow data by the Poyang lake outlet station water level and flow data, and fitting a lake outlet station water level-flow relation curve in each group.
S2, calculating the average distance in the effective value range of each group of adjacent water level-flow relation curves, wherein the method comprises the following steps:
solving an equation set formed by two water level-flow relation curves and a distance calculation equation thereof to obtain the water level change of the Yangtze river under the same flow of the Poyang lake outlet station caused by the flow change of the Yangtze river dry flow Han outlet station:
wherein HlakeAnd QlakeWater level (m) and flow data (m) of the lake outlet station, respectively3In s). i is the packet number. and a and b are fitting parameters. diThe average distance between the ith water level-flow relation curve and the (i +1) th water level-flow relation curve is the water level variation amplitude of the Hankou station flow at the same flow of the lake outlet station caused after the flow rises to the (i +1) th interval in the ith interval.
S3, and remote sensing interpretation of 59 Poyang lake whole lake Landsat MSS, TM or ETM images in 1973-2010, and calculating normalized water body index NDWI. Then, the water area range of each image is identified under the condition that the NDWI is greater than 0, and the water area of each image is counted.
And fitting a Poyang lake water level-area relation curve S (h) by a binomial equation in combination with the water level observation data of each remote sensing image observation date to obtain a specific parameter form as follows:
S(h)＝-7.25h2+417.16h-1772.9
wherein h is the lake outlet station water level (m), S (h) is the corresponding Poyang lake water area, and the coefficient R is determined by the fitted Poyang lake water level-area relation curve2Is 0.87.
S4, calculating the Poyang lake water storage capacity change corresponding to the lake outlet station water level change in S2 according to the lake water level-area relation curve S (h), and representing the influence of the Poyang lake on the Yangtze river main flow water situation by changing the supply capacity of the Poyang lake to the Yangtze river, wherein the formula is
Wherein, the V refers to the Poyang lake water storage capacity variation, haAnd hbAmplitude d of each water level of the lake outlet stationiS (h) is the Poyang lake level-area relationship curve established in S3.
According to the method, the selected sectional step length of the equal flow interval of the main flow, the NDWI threshold value for extracting the water area and the function form of the fitted lake water level-area relation curve are obtained according to the actual measurement result of the Poyang lake. If the method is used in other research areas, the flow dividing step length, the NDWI threshold value and the water level-area relation curve function form need to be reset according to the actual situation of the research area.
The present invention is further illustrated by the following specific examples.
Example 1:
FIG. 2 is a schematic diagram of Poyang lake outlet station hydrological data grouping and fitting a water level-flow relation curve according to equal flow intervals of Yangtze river stem flow Han outlet stations. Wherein, the letters A to U respectively mark the minimum value of the main flow of Yangtze river (5520 m)3S) to maximum value (71000 m)3S) at 3000m3And the/s is the number of 21 equal-flow interval intervals divided by the interval step length. And in each flow interval of the Hankou station, fitting a water level-flow relation curve of the Yangtze lake outlet station, as shown in figure 2. As can be seen from FIG. 2, the Poyang lake water level-flow relationship curves under different Yangtze river flows are similar in form but not overlapped and are distributed in an approximately parallel state, that is, as the flow of the Yangtze river increases, the jacking effect on Poyang lake outflow is gradually enhanced, and then the water level at the same flow of the lake outlet is continuously raised.
FIG. 3 is a schematic diagram of water level variation at the same flow rate at the Poyang lake outlet caused by flow rate variation of Yangtze river main stream. Wherein, the belt has double charactersThe black hollow dots of the female marks represent the water level change of the Poyang lake under the same flow rate caused by the change of the flow conditions of the Yangtze river. Taking points A-B as an example, the value is 0.29, which represents that the flow rate of the Yangtze river main stream is from 6000-3The/s is increased to 9000-12000m3After/s, the water level in Poyang lake at the same flow rate can rise by 0.29 m. As can be seen from FIG. 3, the Yangtze river has strong jacking effect on the Poyang lake outflow, and every 3000m3The flow increase of the Yangtze river per second lifts the water level of the Poyang lake at the same flow of 0.20-0.76 m, and the average lifting amplitude is about 0.57 m.
FIG. 4 is a Poyang lake water level-area relation curve established by lake water area and corresponding water level observation data interpreted based on Landsat remote sensing images. As can be seen from FIG. 4, the Poyang lake water area has a significant positive correlation with the water level, and can be well-established by a quadratic polynomial equation (R)20.87) and the final fitted Poyang lake level (h) -area (S) relation curve is in the form of S (h) -7.25h2+417.16 h-1772.9. The water area of the Poyang lake can be reversely deduced by adopting the water level value of the lake, and the change of the water storage capacity of the lake corresponding to the amplitude of each water level can be further calculated on the basis of the water area.
FIG. 5 shows the supply capacity change of Yanghu to Yangtze river under different Yangtze river main flow hydrological conditions characterized by the change of lake water storage capacity. The change of the lake water storage capacity is a value corresponding to the change of the lake level in fig. 3, and is obtained according to the relationship curve of the lake level and the area established in fig. 4. As can be seen from FIG. 5, the flow rate of Yangtze river is 3000m per change3The variation of the Poyang lake water storage capacity is 6.05-14.13 million m3The average Poyang lake water capacity variation is 10.11million m3. That is, the supply capacity of the Poyang lake to the Yangtze river is enhanced along with the enhancement of the effect of the Yangtze river on the outflow jacking of the lake, and is reduced along with the reduction of the effect of the Yangtze river on the outflow jacking of the lake.
According to the technical scheme, the invention has the following beneficial effects: the complex interaction between branch rivers and main streams of river and lake intersection rivers can be effectively clarified, and the dual purposes of simultaneously calculating the influence of main stream flow on the lake water level and the influence of lake water storage capacity change on the main stream supply capacity are achieved by means of combination of division of main stream flow intervals, water level change of a lake outlet hydrological station under different main stream flow conditions and calculation of corresponding lake water storage capacity change; the operation is simple and convenient, and the required cost is low.
Claims (6)
1. A river and lake interaction quantification method of a river and lake intersection river channel based on the relation between lake water level-flow and water level-area is characterized by comprising the following steps:
s1, grouping the water level and flow data of the branch lake outlet by flow intervals such as main flow and the like, and constructing a water level-flow relation curve of the lake outlet in each group;
s2, calculating the average distance between every two adjacent lines in the serial water level-flow relation curve of the lake outlet, and extracting the water level change of the branch lake under the same flow rate caused by the change of the hydrological condition of the main stream;
s3, interpreting the distribution area of the lake water area based on the remote sensing image, and constructing a lake water level-area relation curve with the actually measured water level data;
and S4, calculating the change of the lake water storage capacity corresponding to the change of the lake outlet water level in S2 by combining the lake water level-area relation curve, and representing the influence of the branch lake on the main stream water condition by changing the supply capacity of the branch lake on the main stream.
2. The method for quantifying interaction between rivers and lakes at intersection and river-lake based on relationship between lake level-flow and water level-area as claimed in claim 1, wherein in step S1, the data of water level and flow at tributary lake outlets are grouped by equal flow intervals of main flow, and the relationship curve between water level and flow at lake outlets in each group is constructed by: calculating a main flow key hydrological station multi-year day-average flow sequence near a river (river) lake intersection river channel, setting a reasonable step length in an effective value range, dividing the sequence into n equal flow interval intervals, and grouping water level and flow observation data of lake outlets under the limiting condition to obtain lake outlet water level and flow observation data under different flow conditions of main flow;
and for the lake outlet water level and flow data in each group, fitting a water level-flow relation curve by adopting the following equation:
wherein HlakeWater level data of a hydrological station at the lake outlet is in the unit of m; qlakeIs the flow data of the hydrological station at the outlet of the lake, and the unit is m3I is a lake hydrological data grouping number divided according to the main flow interval; and a and b are fitting parameters.
3. The method for quantifying interaction between rivers, lakes and rivers intersected with each other based on the relation between lake level-flow and water level-area as claimed in claim 2, wherein in the process of dividing the equal-flow intervals of the main flow, the value n (the number of groups) is at least greater than 10, and the value range of the main flow is further enlarged according to the calculation precision; the division step length of the flow interval is determined according to the value range of the n value and the main flow, and the value is approximately equal to
4. The method for quantifying interaction between rivers and lakes in intersection and river-lake based on relationship between lake level-flow and water level-area as claimed in claim 1, wherein in step S2, the average distance between two adjacent lines in the relationship curve between lake outlet series level-flow is calculated, and the extraction of the level change of the tributary lake caused by the change of the main flow hydrological conditions under the same flow is specifically: solving the following equation set, and calculating the average distance of each group of adjacent curves in the series of water level-flow relation curves of the lake outlet in an effective value range, namely the water level change of the tributary lake caused by the change of the main flow condition:
wherein HlakeAnd QlakeWater level (m) and flow data (m) of a lake outlet hydrological station respectively3S), i is the grouping number, a, b are the fitting parameters, diThe average distance between the ith water level-flow relation curve and the (i +1) th water level-flow relation curve is the water level amplitude of the lake outlet at the same flow rate caused by the rising of the main flow rate in the ith interval to the (i +1) th interval.
5. The method for quantifying interaction between rivers and lakes in intersection and rivers based on relationship between lake level-flow and water level-area as claimed in claim 1, wherein in step S3, the distribution area of the water area of the lake is interpreted based on the remote sensing image, and the relationship curve between lake level and area is constructed by using the data of measured water level: the Landsat image covering the lake region is subjected to Normalized Difference Water Index (NDWI) calculation, and the formula is as follows:
NDWI＝(p(Green)-p(NIR))/(p(Green)+p(NIR))，
the NDWI is a normalized water body index, and p (Green) and p (NIR) are pixel values of a green wave band and a near infrared wave band of a remote sensing image respectively;
then, selecting a reasonable threshold value (such as NDWI >0) of NDWI to extract the lake water area range, counting the total area of the lake water area range, corresponding the total area of the lake water area range to the lake outlet water bit data of the observation date of the remote sensing image one by one, and establishing a lake water level-area relation curve S (h).
6. The method according to claim 1, wherein in step S4, the lake water storage capacity variation corresponding to the lake outlet water level variation in S2 is calculated by combining the lake water level-area relationship curve, and the influence of the branch lake on the main stream water regime by changing its supply capacity to the main stream is characterized by: according to the relation curve of the lake water level and the area, calculating the lake water storage capacity change corresponding to the lake water level change caused by the change of the main flow in S2:
wherein V refers to the amount of change of the water storage capacity of the lake, haAnd hbRespectively the water level amplitude d of the lakeiStarting and ending values of (i.e. d)i＝hb-ha) And S (h) is the lake level-area relation curve established in S3.
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| CN116562191A (en) * | 2023-07-05 | 2023-08-08 | 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) | Lake hydrodynamic model water level parameter correction method integrating remote sensing images |
| CN117236573A (en) * | 2023-11-15 | 2023-12-15 | 广东广宇科技发展有限公司 | River and lake region division management method, system and medium based on river and lake monitoring |
| CN117726764A (en) * | 2024-02-06 | 2024-03-19 | 江苏省水利科学研究院 | Shallow lake topography and water level storage relation construction method and system considering high-intensity human activity influence |
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| CN116306051A (en) * | 2023-05-24 | 2023-06-23 | 长江三峡集团实业发展(北京)有限公司 | River and lake relation water quantity exchange information determining method and device and electronic equipment |
| CN116306051B (en) * | 2023-05-24 | 2023-08-18 | 长江三峡集团实业发展(北京)有限公司 | River and lake relation water quantity exchange information determining method and device and electronic equipment |
| CN116562191A (en) * | 2023-07-05 | 2023-08-08 | 江西省水利科学院(江西省大坝安全管理中心、江西省水资源管理中心) | Lake hydrodynamic model water level parameter correction method integrating remote sensing images |
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| CN117236573B (en) * | 2023-11-15 | 2024-04-12 | 广东广宇科技发展有限公司 | River and lake region division management method, system and medium based on river and lake monitoring |
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