CN116341994B

CN116341994B - River water ecological treatment method and system based on passenger water diversion

Info

Publication number: CN116341994B
Application number: CN202310611864.6A
Authority: CN
Inventors: 刘国珍; 马喜荣; 张琴凤; 陈娟; 龙晓飞; 温舒茵; 苫洪华; 林平; 王海俊; 黄淞宣; 宣小铭; 佟晓蕾; 袁菲; 杨裕桂; 陈浩南
Original assignee: Pearl River Hydraulic Research Institute of PRWRC
Current assignee: Pearl River Hydraulic Research Institute of PRWRC
Priority date: 2023-05-29
Filing date: 2023-05-29
Publication date: 2023-09-01
Anticipated expiration: 2043-05-29
Also published as: CN116341994A

Abstract

The invention relates to the technical field of ecological treatment of water, in particular to a river water ecological treatment method and system based on passenger water diversion. The method comprises the following steps: the sensor is used for acquiring and processing hydrologic data of the river channel to generate initial hydrologic data of the river channel; performing data preprocessing on the initial hydrologic data to generate standard hydrologic data; the method comprises the steps of performing river channel topographic data acquisition and processing on a river channel by utilizing a satellite remote sensing technology to obtain river channel topographic data; constructing a prediction model of the characteristic relation of the river hydrologic data based on a random forest algorithm to generate a hydrologic data characteristic model; transmitting the standard hydrologic data to a hydrologic data feature model to perform river hydrologic feature prediction processing, and generating hydrologic feature data; and constructing river curtain based on the river topography data and the hydrologic characteristic data, so as to generate river curtain data. The invention realizes the river water ecological treatment scheme by managing and maintaining the river passenger water.

Description

River water ecological treatment method and system based on passenger water diversion

Technical Field

The invention relates to the technical field of ecological treatment of water, in particular to a river water ecological treatment method and system based on passenger water diversion.

Background

The passenger water diversion is a hydraulic engineering technology and is mainly applied to reasonable utilization and management of watershed water resources. The passenger water diversion project is to guide partial water diversion in a reservoir or a river channel to other areas or uses by building engineering facilities such as a barrage, a canal and the like, so that the problem of water resource shortage in the areas is solved, the water resource utilization efficiency is improved, the water use requirements in different fields are met, further the sustainable development of economy and society is promoted to meet the requirements in aspects of agriculture, industry, urban water supply and the like, meanwhile, the flood disaster risk of the river channel is reduced, and in areas with shortage of water resources, the passenger water diversion project becomes an important means for realizing sustainable water resource management. However, the conventional river water ecological management method for diversion of the passenger water cannot cope with natural disasters such as flood and heavy rain, and once the river water is converged due to the natural disasters, the river water level is excessively high and overflows over the river beach, pollution disasters caused by various indexes of hydrological data in the area where the diversion of the passenger water is located cannot be effectively analyzed, so that no repair scheme for the area where the diversion of the passenger water is located is targeted, and the management and maintenance of the river cannot be guaranteed.

Disclosure of Invention

Based on the above, the invention provides a river water ecological management method and system based on passenger water diversion, so as to solve at least one of the above technical problems.

In order to achieve the purpose, the river water ecological treatment method based on the diversion of the passenger water comprises the following steps:

step S1: the sensor is used for acquiring and processing hydrologic data of the river channel to generate initial hydrologic data of the river channel; performing data preprocessing on the initial hydrologic data to generate standard hydrologic data;

step S2: the method comprises the steps of performing river channel topographic data acquisition and processing on a river channel by utilizing a satellite remote sensing technology to obtain river channel topographic data; constructing a prediction model of the characteristic relation of the river hydrologic data based on a random forest algorithm to generate a hydrologic data characteristic model; transmitting the standard hydrologic data to a hydrologic data feature model to perform river hydrologic feature prediction processing, and generating hydrologic feature data; river curtain construction is carried out based on river topography data and hydrologic characteristic data, so that river curtain data are generated;

step S3: according to river course curtain data, carrying out hydrologic data host and guest water region division processing on hydrologic characteristic data to respectively generate host water diversion data and guest water diversion data of a river course; carrying out water-blocking curtain adding treatment on river curtain data according to the main water diversion data so as to generate water-blocking curtain data;

Step S4: carrying out river ecological hazard element cluster analysis processing on the passenger water diversion data by using a hierarchical clustering algorithm to generate hazard element characteristic information; carrying out ecological restoration strategy design of the passenger water area according to the hazard element characteristic information, so as to generate ecological restoration strategy information of passenger water diversion data;

step S5: carrying out hydrological data restoration processing on the passenger water diversion data by using ecological restoration strategy information to generate restoration passenger water diversion data; performing intelligent optimization analysis processing on the repaired passenger water diversion data to generate optimized passenger water diversion data;

step S6: real-time water level monitoring processing is carried out on optimized passenger water diversion data by utilizing a sensor, and real-time passenger water level monitoring data is generated; carrying out safe water level judgment processing by utilizing a preset safe water level threshold value and real-time monitoring of the water level data of the passenger water, and generating water level security risk judgment data of optimized passenger water diversion data; and carrying out intelligent adjustment processing on the water-blocking curtain data according to the water level security risk judgment data, thereby generating passenger water level adjustment data.

According to the invention, the sensor is adopted to collect and process the hydrologic data in the river channel, so that the accuracy and reliability of the hydrologic data can be improved, the data deviation caused by manual intervention or misoperation is avoided, and the authenticity of the hydrologic data is ensured; by carrying out data preprocessing on the initial hydrologic data to generate standard hydrologic data, abnormal values, missing values, error values and the like in the data can be eliminated, so that the data is more accurate, complete and reliable; acquiring river channel topographic data and constructing a prediction model of the characteristic relation of the hydrologic data by a random forest algorithm through a satellite remote sensing technology, and improving the acquisition efficiency and the prediction accuracy of the river channel hydrologic data; the hydrologic characteristic model is utilized to predict hydrologic characteristic data, so that the hydrologic characteristic data can be predicted, the calculated amount of the subsequent steps is reduced, the calculation force is saved, the pressure on hardware processing data is greatly reduced, and hydrologic data analysis and water resource management are facilitated; the main water of the river is isolated through the river curtain by constructing the river curtain, so that the river is better treated, and a more targeted treatment scheme is provided for the region range of the passenger water; the hydrologic characteristic data is divided into the main water area and the auxiliary water area of the hydrologic data according to the river curtain data, so that a better treatment scheme is provided for the hydrologic data of the area where the auxiliary water is located, a water-blocking curtain in the subsequent step can be established according to the area where the main water is located, and a data set and an analysis decision are provided for the subsequent step; according to the main water diversion data, the water-blocking curtain is additionally arranged on the river curtain data, and a plurality of water-blocking curtains are additionally arranged in the river, so that the river water flow is regulated, the water quality is improved, the ecological environment is protected, the water-blocking curtains can be opened for natural disasters such as flood, storm and the like to collect river water into a main water area, and the converging pressure of the river is reduced; carrying out river ecological hazard element clustering analysis processing on the passenger water diversion data by using a hierarchical clustering algorithm, analyzing elements with hazard to river ecology, such as high turbidity, high nutritive salt and the like, obtaining similarity and characteristics among the elements, obtaining hazard element characteristic information, and providing a data basis for subsequent ecological restoration strategy information; the ecological restoration strategy design of the passenger water area is carried out according to the characteristic information of the hazard elements, the ecological restoration strategy aims at improving the ecological environment of water through reasonable methods and measures, and the reasonable ecological restoration strategy is formulated, so that the hazard of passenger water diversion to the ecology of the river channel can be reduced, the ecological environment of the river channel is restored or improved, the self-cleaning capacity of the river channel and the stability of an ecological system are improved, and the aims of protecting the ecological environment and promoting sustainable development are achieved; the ecological restoration strategy information is utilized to carry out hydrological data restoration treatment on the guest water diversion data, so that the quality and ecological safety of the guest water diversion data are improved, and the ecological restoration strategy information has important significance for river management and ecological protection; through intelligent optimization analysis processing, the passenger water diversion data can be further optimized to meet specific hydrologic requirements and ecological requirements, and the generated optimized passenger water diversion data contributes to important basis in aspects of river channel management, hydrologic prediction and the like and ecological protection and sustainable development of the river channel; the sensor is used for carrying out real-time water level monitoring treatment on optimized passenger water diversion data, and the sensor can be used for transmitting the real-time monitored data to the background for treatment by monitoring the water level change condition of the passenger water area to generate real-time monitored passenger water level data; the preset safe water level threshold is determined according to factors such as geographical features, hydrologic features and ecological requirements of the passenger water area of the river channel and is used for judging whether the water level of the passenger water area is safe or not; according to the water level security risk judgment data, intelligent regulation processing is carried out on the water-blocking curtain data, the water level of the passenger water area is timely regulated, the hydrologic ecological requirement of the passenger water area is guaranteed, the influence on downstream river channels is reduced, the stability and the sustainability of a river channel ecological system are improved, meanwhile, the water level of the passenger water area can be effectively prevented from being too high or too low, and accordingly the pressure of river channel flood control work is reduced. Therefore, the river water ecological management method based on the passenger water diversion can cope with natural disasters such as flood, storm and the like, once river water confluence caused by the natural disasters is sent, the river pressure is reduced by opening the water-blocking curtain, the safety problem that the river water overflows over the river beach due to overhigh river water level is solved, pollution disasters caused by various indexes of hydrological data in the region where the passenger water diversion is located can be effectively analyzed, a repairing scheme of the region where the passenger water diversion is located is established, and the management and maintenance of the river are guaranteed.

Preferably, step S1 comprises the steps of:

step S11: the sensor is used for acquiring and processing hydrologic data of the river channel to generate initial hydrologic data of the river channel;

step S12: performing data cleaning treatment on the initial hydrologic data to generate cleaning hydrologic data;

step S13: and carrying out data standardization processing on the cleaning hydrologic data by using decimal calibration standardization to generate standard hydrologic data.

According to the invention, various types of sensors are utilized to collect and process hydrologic data of the river channel, including a water level sensor, a flow sensor, a water quality sensor and the like, so that initial hydrologic data of the river channel are generated, the comprehensiveness and accuracy of the data are ensured, the coverage and diversity of the data are improved, and the hydrologic condition of the river channel is better reflected; performing data cleaning processing on the initial hydrologic data, including data deduplication, outlier processing, missing value processing and the like, generating cleaning hydrologic data, and ensuring the integrity and consistency of the data; the data standardization processing is carried out on the hydrologic data by decimal calibration standardization, including the normalization processing is carried out on the water level, flow, water quality and other data, and standard hydrologic data is generated, so that the data has comparability and interpretability.

Preferably, step S2 comprises the steps of:

step S21: carrying out river channel topographic data acquisition processing on a river channel by utilizing a satellite remote sensing technology to acquire initial river channel topographic data;

step S22: carrying out data noise reduction processing on the initial river terrain data by utilizing Gaussian filtering to generate river terrain data;

step S23: constructing a prediction model of the characteristic relation of the river hydrologic data based on a random forest algorithm to generate an initial hydrologic data characteristic model;

step S24: carrying out data division processing on the standard hydrologic data to respectively generate training hydrologic data and test hydrologic data;

step S25: performing model training treatment on the initial hydrologic data characteristic model by utilizing training set hydrologic data to generate a hydrologic data characteristic model;

step S26: performing target data extraction processing on the test hydrologic data according to a preset hydrologic data time sequence interval to generate target test hydrologic data;

step S27: transmitting the target test hydrologic data to a hydrologic data feature model to perform river hydrologic feature prediction processing; generating hydrologic feature data;

step S28: and constructing river curtain based on the river topography data and the hydrologic characteristic data, so as to generate river curtain data.

According to the method, the satellite remote sensing technology is used for acquiring the initial river terrain data, so that the acquisition efficiency and accuracy of the terrain data can be improved, and the data processing effect of the subsequent steps is improved; noise reduction processing is carried out on the initial river terrain data by Gaussian filtering, so that noise and abnormal values in the data can be removed, and the accuracy and reliability of the data are improved; the method comprises the steps of constructing a river hydrologic data characteristic prediction model based on a random forest algorithm, analyzing characteristic data of river hydrologic data, and improving accuracy and generalization capability of acquiring the characteristic data; the standard hydrologic data is subjected to data division processing, a training set and a testing set are respectively generated, the initial hydrologic data characteristic model is trained by utilizing the training set hydrologic data, the model is trained by the training set, the generalization capability of the model can be improved, the parameters of the model are optimized, and the prediction capability of the model is improved; target data extraction processing is carried out on the test hydrographic data according to a preset hydrographic data time sequence interval, so that the target data can be extracted pertinently, the complexity and the calculated amount of data processing are reduced, and the accuracy of the data is improved; transmitting the target test hydrologic data to a hydrologic data feature model to perform river hydrologic feature prediction processing to obtain feature data of river hydrologic data, providing a basis for data processing of subsequent steps, and improving accuracy and effect of river ecological management; the river curtain construction is carried out based on river topography data and hydrologic characteristic data, so that the position and the size of the curtain can be accurately calculated, and the effect of the curtain and the accuracy of water level adjustment are improved.

Preferably, step S28 comprises the steps of:

step S281: carrying out river curtain parameter design based on river topography data and hydrologic characteristic data to generate river curtain architecture data;

step S282: carrying out river curtain placement position design processing according to a preset host-guest water planning interval and river terrain data so as to obtain river curtain placement data;

step S283: and constructing the river curtain based on the river curtain architecture data and the river curtain placement data, so as to generate river curtain data.

According to the river course curtain construction method, reasonable river course curtain parameters including parameters such as height, length and width are designed by analyzing the river course topographic data and the hydrologic characteristic data, and river course curtain construction data are generated, so that reasonable parameter setting of the river course curtain is ensured, and the requirements of river course treatment can be met more accurately; according to a preset host-guest water planning interval and river terrain data, a reasonable river curtain placement position is designed to obtain river curtain placement data, and through reasonable design, the river curtain placement position can be scientific and reasonable, and a river treatment effect can be better achieved; river curtain construction is carried out based on river curtain architecture data and river curtain placement data, so that river curtain data are generated, the river curtain parameters and placement positions obtained in the prior are practically applied to river treatment, the hydrological condition of a river can be effectively improved, and the stability of water quality and water quantity is improved.

Preferably, step S3 comprises the steps of:

step S31: according to river course curtain data, carrying out hydrologic data host and guest water region division processing on hydrologic characteristic data to respectively generate host water diversion data and guest water diversion data of a river course;

step S32: carrying out water-blocking curtain parameter design processing according to the main water-blocking curtain data to generate water-blocking curtain parameter data;

step S33: and carrying out water-blocking curtain adding treatment on the river curtain data according to the water-blocking curtain parameter data, thereby generating water-blocking curtain data.

According to the river course curtain data, the hydrologic characteristic data are subjected to hydrologic data host-guest water region division processing, and host-guest water diversion data and guest water diversion data of a river course are respectively generated, so that the hydrologic characteristics of the river course can be simulated and predicted more accurately, the efficiency and precision of flood control and drainage can be improved, and a more targeted treatment scheme is provided for the host-guest water region and the host-guest water region of the river course; the water-blocking curtain parameter design processing is carried out according to the main water diversion data, so that the water-blocking curtain parameter data is generated, and the water-blocking curtain parameter data is beneficial to more refined flood control and drainage control and management of the main water diversion area; and carrying out water-blocking curtain adding treatment on river curtain data according to the water-blocking curtain parameter data, so as to generate water-blocking curtain data, thereby being beneficial to improving the efficiency and precision of flood control and drainage and reducing the interference and damage to natural rivers.

Preferably, step S4 comprises the steps of:

step S41: carrying out hydrological data index analysis processing on the guest water diversion data by using a principal component analysis method to generate guest water diversion hydrological index data;

step S42: performing hydrologic index distance matrix construction processing on the guest water diversion hydrologic index data by utilizing Euclidean distance to generate a distance matrix of the guest water diversion hydrologic index data;

step S43: carrying out river ecological hazard element cluster analysis processing on the distance matrix by using a hierarchical clustering algorithm to generate hazard element characteristic information;

step S44: and (3) carrying out river ecological restoration strategy design according to the hazard element characteristic information, so as to generate ecological restoration strategy information of the guest water diversion hydrological index data.

According to the invention, the main component analysis method is used for carrying out hydrological data index analysis on the guest water diversion data, so that the characteristics and rules of each index in the guest water diversion hydrological data of the river channel can be objectively known, the follow-up steps are convenient according to a targeted treatment scheme of each index, and the ecological treatment effect of the river channel is improved; the Euclidean distance is utilized to construct and process the hydrological index distance matrix of the hydrological index data of the passenger water diversion, so that the multidimensional passenger water diversion hydrological index data can be converted into a one-dimensional distance matrix, and the subsequent cluster analysis is facilitated; the distance matrix is subjected to river ecological hazard factor clustering analysis by using a hierarchical clustering algorithm, and the passenger water diversion hydrological index data can be divided into different clusters according to the similarity, so that different hazard factor characteristic information is obtained; the river ecological restoration strategy design is carried out according to the hazard element characteristic information, and a targeted ecological restoration strategy can be provided aiming at different hazard element characteristic information, so that the river ecological environment is restored more effectively.

Preferably, step S5 comprises the steps of:

step S51: carrying out all index restoration treatment on hydrologic data on the hydrologic index data of the passenger water diversion by using ecological restoration strategy information to generate restored passenger water diversion data;

step S52: carrying out hydrologic index safety level calculation processing on the repaired passenger water diversion data by utilizing a hydrologic index level detection formula to generate hydrologic index safety level;

step S53: and (3) carrying out threshold comparison processing according to a preset safety level index threshold value and a hydrological index safety level, returning to the step (S42) when the hydrological index safety level is not greater than the safety level index threshold value, and marking the repaired passenger water diversion data as optimized passenger water diversion data when the hydrological index safety level is greater than the safety level index threshold value.

According to the invention, each index restoration treatment of the hydrologic index data of the passenger water diversion is carried out by using the ecological restoration strategy information, the ecological restoration is carried out aiming at the hydrologic index data of the passenger water diversion, the hydrologic system structure is optimized, the adaptability and toughness of the hydrologic system structure are improved, the hydrologic index data is effectively improved, the hydrologic risk is reduced, the health level of the river ecosystem is improved, and the protection and improvement of the ecological environment are promoted; carrying out hydrological index safety level calculation processing on the restored passenger water diversion data by utilizing a hydrological index level detection formula, carrying out safety evaluation on the restored data, and judging the restoring effect of ecological restoration strategy information so as to ensure the safety of the ecological environment of the river channel; by comparing the hydrologic index safety level with a preset safety level index threshold value, whether the repaired passenger water diversion data meets the safety level requirement or not can be determined, and whether further optimization is needed or not can be judged.

Preferably, the hydrologic index level detection formula in step S52 is as follows:

;

in the method, in the process of the invention,expressed as hydrologic index security level, +.>Expressed as the number of hydrologic data samples, +.>Expressed as hydrologic index number,/->Denoted as +.>Sample No. H>Numerical value of the individual hydrologic index,/->Denoted as +.>Average value of individual hydrologic index in all samples,/->Denoted as +.>Standard deviation of individual hydrologic index in all samples,/-for>Expressed as the number of hydrologic indices that need to be exponentially transformed, ">Denoted as +.>Constant term coefficients of hydrologic index requiring index transformation, ++>Denoted as +.>Numerical value of the index transformed hydrologic index, +.>An anomaly adjustment value expressed as a hydrologic index safety level.

The invention utilizes a hydrologic index level detection formula which comprehensively considers the number of hydrologic data samplesHydrologic index number->First->Sample No. H>Numerical value of individual hydrologic index->First->Mean value of the individual hydrologic index in all samples +.>First->Standard deviation +.>Hydrologic index number requiring index conversion +.>First->Constant term coefficient of hydrologic index requiring index conversion +.>First->Numerical value of the index of hydrologic index of the index transformation +. >To form a function->The function calculates the hydrologic index safety level through a variance term part and an index transformation term part, wherein the hydrologic data sample in the variance term partThe indexes are subjected to normalization processing, so that all the indexes have the same importance and contribution degree, and the processed data accords with normal distribution to measure the dispersion degree of the hydrologic data on different hydrologic indexes, namely the fluctuation condition of the hydrologic data is larger as the fluctuation condition is larger and smaller as the fluctuation condition is smaller; each hydrologic index of the index transformation term part has a nonlinear variation trend, such as water level, flow rate and the like, and the influence degree of the hydrologic index on the hydrologic safety level is further reflected by adjusting the value of the hydrologic index after index transformation. The hydrological index safety level of the guest water diversion data is calculated through the functional relation, and the guest water diversion data is comprehensively and systematically analyzed and evaluated, so that hydrological characteristics and potential risks of the guest water diversion data are better known, more reasonable management and regulation measures are formulated, and the utilization efficiency and safety of water resources are improved. Abnormality adjustment value +.>The function relation is adjusted and corrected, and the error influence caused by abnormal data or error items is reduced, so that the hydrologic index safety level is accurately generated >The accuracy and the reliability of hydrological index safety level calculation processing on the repaired passenger water diversion data are improved. Meanwhile, the constant term coefficient and the abnormal adjustment value in the formula can be adjusted according to actual conditions, and the algorithm is applied to hydrological data of different river channels, so that the flexibility and applicability of the algorithm are improved.

Preferably, the water level security risk judging data includes abnormal water level data and safe water level data, and the step S6 includes the steps of:

step S61: real-time water level monitoring processing is carried out on optimized passenger water diversion data by utilizing a sensor, and real-time passenger water level monitoring data is generated;

step S62: carrying out safety water level judgment processing by utilizing a preset safety water level threshold value and real-time monitoring of the water level data of the passenger water, generating abnormal water level data of optimized passenger water diversion data when the water level data of the passenger water monitored in real time is larger than the preset safety water level threshold value, and generating the safety water level data of the optimized passenger water diversion data when the water level data of the passenger water monitored in real time is not larger than the preset safety water level threshold value;

step S63: according to the abnormal water level data, carrying out open adjustment on the water-blocking curtain to generate open water-blocking curtain data;

step S64: closing and adjusting the water-blocking curtain according to the safe water level data to generate closed water-blocking curtain data;

Step S65: and carrying out passenger water regional water level adjustment processing on the optimized passenger water diversion data according to the open water-blocking curtain data and the closed water-blocking curtain data, thereby generating passenger water level adjustment data.

The invention monitors the water level data of the passenger water in real time by utilizing the sensor, can grasp the water level condition of the passenger water in time, and provides data support for subsequent water level safety judgment and adjustment; comparing the preset safe water level threshold with the real-time monitored water level data of the passenger water, and judging whether the water level of the passenger water is safe or not, so that corresponding water level regulating measures are formulated; and (3) carrying out passenger water regional water level adjustment treatment on the optimized passenger water diversion data according to the open water-blocking curtain data and the closed water-blocking curtain data, so that the water level of the passenger water can reach within a preset safe water level, thereby ensuring the safe and stable operation of the passenger water diversion system and guaranteeing the urban flood discharge safety.

In this specification, there is provided a river water ecological management system based on diversion of passenger water, comprising:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor;

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a river water ecological management method based on diversion of passenger water as described above.

The application has the beneficial effects that the application can realize the rapid diversion and reservation of the high-quality water source in the river, reduce the damage of artificial interference to the ecological environment of the river, and effectively improve the stability and diversity of the ecological environment of the water. Through optimizing the steps of passenger water diversion, passenger water level adjustment and the like, the water level and the flow of the river are effectively controlled, and a more suitable living environment is provided for organisms in the river. And (3) carrying out hydrological index safety level calculation processing on the optimized passenger water diversion data, and reasonably distributing and utilizing water resources, so that the utilization efficiency of the water resources is improved. In addition, through carrying out real-time supervision to the guest water level, can realize the quick regulation and the management of river water level, further improve the utilization efficiency of water resource. The river water level and the flow are effectively regulated and managed, the risk of flood disasters is reduced, the passenger water level can be finely controlled through the opening and closing regulation of the waterproof curtain, and the occurrence possibility of the flood disasters is further reduced. The real-time monitoring and control are carried out by using modern sensors and other technical means, so that the rapid response and adjustment of the river ecosystem can be realized. Compared with the traditional treatment method, the method has the characteristics of high response speed, simple and convenient operation and the like, thereby improving the treatment efficiency and reducing the treatment cost.

Drawings

FIG. 1 is a schematic flow chart of steps of a river water ecological management method based on passenger water diversion;

FIG. 2 is a flowchart illustrating the detailed implementation of step S2 in FIG. 1;

FIG. 3 is a flowchart illustrating the detailed implementation of step S4 in FIG. 1;

FIG. 4 is a flowchart illustrating the detailed implementation of step S6 in FIG. 1;

the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.

Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.

It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

The embodiment of the application provides a river water ecological management method and system based on passenger water diversion, wherein the sensor comprises the following components: at least one of a pressure sensor, a temperature sensor, a humidity sensor, a flow sensor and the like. The river channel includes, but is not limited to: at least one of river channel A and river channel B. The satellite remote sensing technology comprises the following steps: radar remote sensing technology, optical remote sensing technology, etc.

In order to achieve the above objective, please refer to fig. 1 to 4, a river water ecological management method based on passenger water diversion, comprising the following steps:

In the embodiment of the present invention, as described with reference to fig. 1, the step flow diagram of the river water ecological management method based on the diversion of the passenger water of the present invention is provided, and in this example, the river water ecological management method based on the diversion of the passenger water includes the following steps:

according to the embodiment of the invention, according to the characteristics of a river channel and the type of data to be acquired, a sensor is arranged on the river channel, the sensor is started to acquire the data of the river channel, the sensor is used for measuring hydrological parameters such as the water level, the flow rate, the water temperature, the water quality and the like of the river channel, and the acquired original data are recorded; and carrying out data preprocessing on the collected original data, removing inaccurate, unstable or unreliable data by utilizing operations such as data format conversion, data smoothing, data deletion filling, data normalization and the like, and compensating and correcting the data so that the data meets certain specifications and standards and standard hydrologic data is generated.

In the embodiment of the invention, the satellite remote sensing technology is adopted to acquire the river channel topographic data, including the data of the length of the river channel, the average water depth, the maximum water depth, the gradient of the river channel and the like, so as to acquire the river channel topographic data; constructing a hydrologic feature prediction model based on a random forest algorithm, inputting the model into standard hydrologic data, outputting the model into hydrologic feature data, and in the model training process, carrying out data preprocessing on the standard hydrologic data, such as dividing the data or selecting specific data to predict the data features of the data; transmitting the standard hydrologic data to a hydrologic feature prediction model for processing to generate hydrologic feature data, wherein the hydrologic feature data comprises indexes such as river channel flow, water level, flow rate and the like; river curtain construction is carried out based on river terrain data and hydrologic characteristic data, the curtain can be static or dynamic, different curtain types are selected according to different application scenes, and when the curtain is constructed, factors such as the speed, the direction and the flow of water flow, and factors such as curtain materials, structures and arrangement modes need to be considered, so that river curtain data are generated.

In the embodiment of the invention, the river curtain data is utilized to carry out the division processing of the main water area and the passenger water area of the hydrological data, so as to respectively generate main water diversion data and passenger water diversion data of the river, wherein the main water diversion data refers to the treated river water body, and the passenger water diversion data refers to the river water which flows through the tributaries of the river or is produced by rainfall and needs to enter the downstream of the treatment section; the water-blocking curtain is additionally arranged on the river curtain data according to the main water diversion data, so that the water-blocking curtain data is generated, the water-blocking curtain is a physical barrier for preventing water flow and can be used for changing the hydrodynamic characteristics of a river, the water flow of the river can be controlled by additionally arranging the water-blocking curtain, the water resource utilization efficiency is improved, the water pollution is reduced, and the water-blocking curtain can be opened to reduce the pressure of the river when natural disasters such as flood are encountered, so that the aim of water ecological management is fulfilled.

In the embodiment of the invention, river ecological hazard factor clustering analysis processing is carried out on the passenger water diversion data, a hierarchical clustering algorithm can be used, the algorithm is a bottom-up clustering algorithm, clustering can be carried out according to the similarity of the data, a tree structure is generated, in the clustering process, similarity indexes such as Euclidean distance or correlation coefficient and the like can be used for evaluating the similarity between the data, and hazard factor characteristic information is obtained after the clustering is completed; according to the element characteristic information, ecological restoration strategy design is carried out, the design of the ecological restoration strategy needs to be combined with the actual conditions of the element characteristic information, such as the factors of water quality, land utilization and the like of a river channel, and different restoration strategies, such as vegetation recovery, nutrient salt control and the like, can be adopted for different passenger water diversion areas, so that ecological restoration strategy information of passenger water diversion data is generated.

in the embodiment of the invention, according to the ecological restoration strategy information of the passenger water diversion area designed in the step S4, ecological restoration treatment is carried out on passenger water diversion data, wherein the ecological restoration comprises improvement on aspects of water quality, water quantity, water speed and the like of water flow, the influence of ecological hazard factors is reduced, and the restoration method can comprise vegetation restoration, ecological embankment construction and the like; and carrying out iterative optimization on the repair passenger water diversion data, and adjusting ecological repair strategy information and then carrying out optimization when the repair passenger water diversion data does not meet the repair standard, so as to obtain optimized passenger water diversion data.

In the embodiment of the invention, the sensor is utilized to monitor and process the optimized passenger water diversion data in real time, and the hydrological data such as water level, flow rate, water temperature and the like are collected and can be used for evaluating hydrological characteristics such as water flow, flow rate, water depth and the like to generate the real-time monitored passenger water level data; based on the real-time monitored water level data, a safe water level threshold value can be preset, when the water level exceeds the threshold value, measures are needed to adjust the water level of the passenger water to avoid flood disasters and other conditions, and safety water level judgment processing is carried out according to the preset safe water level threshold value and the real-time monitored water level data to generate water level security risk judgment data for optimizing the water diversion data of the passenger water; the water-blocking curtain data is intelligently adjusted according to the water level security risk judging data, for example, when the water level is dangerous, the flow of the passenger water can be controlled by adjusting the position, the density, the length and other parameters of the water-blocking curtain, so that the water level of the passenger water is kept in a safe range, passenger water level adjusting data is generated, and the ecological environment of a river and the reasonable utilization of water resources are further ensured.

Preferably, step S1 comprises the steps of:

According to the embodiment of the invention, according to the characteristics of a river channel and the type of data to be acquired, a sensor is arranged on the river channel, the sensor is started to acquire the data of the river channel, the sensor is used for measuring hydrological parameters such as the water level, the flow rate, the water temperature, the water quality and the like of the river channel, the acquired original data are recorded, and initial hydrological data are generated; the method comprises the steps of performing data cleaning on collected original data, including data smoothing processing, data missing filling and the like, removing inaccurate, unstable or unreliable data, compensating and correcting the data, and generating cleaning hydrologic data; and carrying out standardized processing on the cleaning hydrologic data, including data format conversion, data normalization and other operations, and generating standard hydrologic data.

Preferably, step S2 comprises the steps of:

As an example of the present invention, referring to fig. 2, a detailed implementation step flow diagram of step S2 in fig. 1 is shown, where step S2 includes:

in the embodiment of the invention, the satellite remote sensing technology is adopted to acquire the river channel topographic data, including the data of the river channel length, the average water depth, the maximum water depth, the river channel gradient and the like, so as to acquire the initial river channel topographic data.

in the embodiment of the invention, the Gaussian filter algorithm is used for carrying out smoothing processing on the initial river terrain data, so that noise and unnecessary details in the initial river terrain data are removed, and the river terrain data are generated.

in the embodiment of the invention, a hydrologic feature prediction model is constructed based on a random forest algorithm, the model is input into standard hydrologic data and output into hydrologic feature data, the number of decision trees is determined according to the standard hydrologic data in the prediction model, and the results of each decision tree in a forest are combined to obtain an initial hydrologic data feature model.

in the embodiment of the invention, the collected standard hydrologic data are arranged according to a time sequence and are divided into two parts, one part is used for training a model, the other part is used for testing a model, and generally, a data set can be divided into a training set and a testing set according to the proportion of 8:2, wherein 80% of the data are used as the training set, and 20% of the data are used as the testing set, so that training set hydrologic data and testing hydrologic data are respectively generated.

in the embodiment of the invention, the initial hydrologic data characteristic model is subjected to model training processing by using training hydrologic data, when the model is trained, a cross-validation method is used for avoiding the problem of overfitting, parameter tuning is needed to improve the generalization capability of the model, after training is finished, the model is evaluated, and indexes such as mean square error (Mean Squared Error, MSE) or decision coefficient (R-squared) are usually used for evaluating the performance of the model, and if the model does not perform well, an algorithm is needed to be adjusted or characteristic data is needed to be reselected for training, so that the hydrologic data characteristic model is generated.

in the embodiment of the invention, a preset hydrologic data time sequence interval is defined, for example, one year, five years or ten years, and all hydrologic data in the time sequence interval are extracted from original hydrologic data to be used as target test hydrologic data.

in the embodiment of the invention, the target test hydrologic data is transmitted to a trained hydrologic data feature model for prediction processing, and the target test hydrologic data is analyzed through a decision tree of the hydrologic data feature model to obtain main features of the target test hydrologic data so as to generate hydrologic feature data, including indexes such as river flow, water level, flow rate and the like.

In the embodiment of the invention, the river curtain is constructed based on river terrain data and hydrological characteristic data, the curtain can be static or dynamic, and when the curtain is constructed, factors such as the speed, the direction and the flow of water flow, and factors such as the curtain material, the structure and the arrangement mode need to be considered according to different curtain types selected according to different application scenes, so that the river curtain data is generated.

Preferably, step S28 comprises the steps of:

According to the river channel topography data and hydrological characteristic data, parameters of river channel curtains are designed, including curtain height, curtain width, curtain spacing, curtain number and the like, so that river channel curtain architecture data are obtained; according to the main and passenger water planning interval and the river channel topography data, determining the placement positions of the river channel curtains, including the starting point, the ending point, the placement positions and the like of the curtains, so as to obtain river channel curtain placement data; river curtain construction is carried out based on river curtain architecture data and river curtain placement data, and the designed river curtain architecture is placed at the determined river curtain placement position so as to obtain river curtain placement data.

Preferably, step S3 comprises the steps of:

In the embodiment of the invention, the river curtain data is utilized to carry out the division processing of the main water area and the passenger water area of the hydrological data, so as to respectively generate main water diversion data and passenger water diversion data of the river, wherein the main water diversion data refers to the treated river water body, and the passenger water diversion data refers to the river water which flows through the tributaries of the river or is produced by rainfall and needs to enter the downstream of the treatment section; analyzing the characteristics of the flow speed, the flow quantity and the like of the river water flow by utilizing the main water diversion data, designing parameters of the water-blocking curtain, such as height, length, density and the like, and generating water-blocking curtain parameter data by considering characteristics of the river, such as water depth, water flow speed, water flow direction and the like, of the river and influence of the water-blocking curtain on the river water flow when designing the water-blocking curtain parameters; according to the designed water-blocking curtain parameter data, the water-blocking curtain parameter data are applied to river curtain data, and a water-blocking curtain is additionally arranged.

Preferably, step S4 comprises the steps of:

As an example of the present invention, referring to fig. 3, a detailed implementation step flow diagram of step S4 in fig. 1 is shown, where step S4 includes:

in the embodiment of the invention, the main component analysis method is used for carrying out data dimension reduction treatment on the passenger water diversion data so as to extract the main characteristics of the passenger water diversion data, and the main characteristics of the passenger water diversion data are divided according to the relevant indexes of each sub-data of the passenger water diversion data so as to generate the passenger water diversion hydrological index data.

according to the embodiment of the invention, according to the normalization processing of the steps, all indexes have the same weight, and then according to the Euclidean distance formula, the distance between every two pieces of the water diversion hydrological index data is calculated, so that the distance matrix of the water diversion hydrological index data is obtained.

In the embodiment of the invention, the distance matrix is subjected to river ecological hazard element clustering analysis processing by using a hierarchical clustering algorithm to obtain clustering results of different levels, and the clustering results of river ecological hazard elements are selected to generate hazard element characteristic information.

In the embodiment of the invention, the source, the degree and the influence range of the hazard factors are analyzed according to the feature information of the hazard factors, so that a corresponding ecological restoration strategy is provided, for example, vegetation restoration, water ecological restoration and other means are adopted to improve the ecological environment of a river channel, and ecological restoration strategy information of the diversion hydrological index data of the passenger water is generated according to the restoration strategy.

Preferably, step S5 comprises the steps of:

In the embodiment of the invention, each index restoration treatment of hydrologic data is carried out on the hydrologic index data of the split flow of the passenger water by utilizing ecological restoration strategy information, the COD (chemical oxygen demand) index in the split flow of the passenger water is assumed to be restored, a biological restoration technology is selected to be adopted according to the ecological restoration strategy information, the COD is decomposed and digested by increasing the number and the types of microorganisms in the river, the restoration purpose is achieved, and after the restoration treatment, the numerical value of the COD index is reduced, and the restored split flow of the passenger water is generated; performing hydrologic index grade calculation processing on each index in the repaired passenger water diversion data to obtain the safety grade of the hydrologic index safety grade, wherein the safety grade of the hydrologic index safety grade is assumed to be '9' after calculation; assuming that the preset safety level index threshold is '3', the safety level of the hydrologic index safety level is '9' which is larger than the safety level index threshold, so that the repaired passenger water diversion data is marked as optimized passenger water diversion data, the data is indicated to reach the requirement of the safety level index, and the data can be used as the optimized passenger water diversion data to continue subsequent analysis and processing.

;

The invention utilizes a hydrologic index level detection formula which comprehensively considers the number of hydrologic data samplesHydrologic index number->First->Sample No. H>Numerical value of individual hydrologic index->First->Mean value of the individual hydrologic index in all samples +.>First->Standard deviation +.>Hydrologic index number requiring index conversion +.>First->Constant term coefficient of hydrologic index requiring index conversion +.>First->Numerical value of the index of hydrologic index of the index transformation +. >To form a function->According to the function, the hydrologic index safety level is calculated through a variance term part and an index transformation term part, each index in a hydrologic data sample in the variance term part is subjected to normalization processing, so that all indexes have the same importance and contribution degree, and the processed data accords with normal distribution to measure the dispersion degree of hydrologic data on different hydrologic indexes, namely the fluctuation condition of the hydrologic data is larger as the fluctuation condition is larger, and smaller as the fluctuation condition is smaller; each hydrologic index of the index transformation term part has a nonlinear variation trend, such as water level, flow rate and the like, and the influence degree of the hydrologic index on the hydrologic safety level is further reflected by adjusting the value of the hydrologic index after index transformation. The hydrological index safety level of the guest water diversion data is calculated through the functional relation, and the guest water diversion data is comprehensively and systematically analyzed and evaluated, so that hydrological characteristics and potential risks of the guest water diversion data are better known, more reasonable management and regulation measures are formulated, and the utilization efficiency and safety of water resources are improved. Safety by hydrologic indexAbnormal adjustment value of stage->The function relation is adjusted and corrected, and the error influence caused by abnormal data or error items is reduced, so that the hydrologic index safety level is accurately generated >The accuracy and the reliability of hydrological index safety level calculation processing on the repaired passenger water diversion data are improved. Meanwhile, the constant term coefficient and the abnormal adjustment value in the formula can be adjusted according to actual conditions, and the algorithm is applied to hydrological data of different river channels, so that the flexibility and applicability of the algorithm are improved.

As an example of the present invention, referring to fig. 4, a detailed implementation step flow diagram of step S6 in fig. 1 is shown, where step S6 includes:

In the embodiment of the invention, a water level sensor is arranged at a passenger water outlet, the passenger water level is monitored in real time by using the sensor, the monitored data are recorded, and the real-time data processing is carried out to generate real-time monitored passenger water level data;

in the embodiment of the invention, the preset safe water level threshold is assumed to be 50 meters, and when the real-time monitoring of the water level data of the passenger water is greater than 50 meters, the water level of the passenger water is judged to be in a dangerous state, and abnormal water level data for optimizing the diversion data of the passenger water is generated; when the real-time monitoring of the passenger water level data is not more than 50 meters, judging that the passenger water level is in a safe state, and generating the safe water level data of the optimized passenger water diversion data.

In the embodiment of the invention, the abnormal water level data is assumed to be that the water level of the passenger water exceeds the preset safe water level threshold by 50 meters, the water-blocking curtain is opened and regulated according to the abnormal water level data, and the water-blocking curtain is gradually opened, so that the passenger water flow is gradually reduced, and meanwhile, the open water-blocking curtain data is recorded.

in the embodiment of the invention, the water-blocking curtain is closed and adjusted according to the safety water level data, so that the passenger water flow is gradually increased, meanwhile, closed water-blocking curtain data are recorded, and closed water-blocking curtain data are generated, wherein the safety water level data are assumed to be that the passenger water level does not exceed the preset safety water level threshold value by 50 meters.

In the embodiment of the invention, the water level adjustment processing of the passenger water area is performed on the optimized passenger water diversion data according to the open water-blocking curtain data and the closed water-blocking curtain data recorded in the steps S63 and S64, so that the passenger water flow and the water level reach the expected targets.

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor;

The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The river water ecological treatment method based on passenger water diversion is characterized by comprising the following steps of:

step S4, including:

step S44: carrying out river ecological restoration strategy design according to the hazard element characteristic information, so as to generate ecological restoration strategy information of the guest water diversion hydrological index data;

step S5, including:

the hydrologic index level detection formula is as follows:

;

in the method, in the process of the invention,expressed as hydrologic index security level, +.>Expressed as the number of hydrologic data samples, +.>Expressed as hydrologic index number,/->Denoted as +.>Sample No. H>Numerical value of the individual hydrologic index,/->Denoted as +.>Average value of individual hydrologic index in all samples,/->Denoted as +.>Standard deviation of individual hydrologic index in all samples,/-for>Expressed as the number of hydrologic indices that need to be exponentially transformed, " >Denoted as +.>Constant term coefficients of hydrologic index requiring index transformation, ++>Denoted as +.>Numerical value of the index transformed hydrologic index, +.>An anomaly adjustment value expressed as a hydrologic index security level;

step S53: performing threshold comparison processing according to a preset safety level index threshold and a hydrological index safety level, returning to the step S42 when the hydrological index safety level is not greater than the safety level index threshold, and marking the repaired passenger water diversion data as optimized passenger water diversion data when the hydrological index safety level is greater than the safety level index threshold;

2. The river water ecological management method based on passenger water diversion according to claim 1, wherein the step S1 comprises the following steps:

3. The river water ecology management method based on passenger water diversion of claim 1, wherein step S2 comprises the steps of:

4. A river water ecology treatment method based on diversion of passenger water according to claim 3 wherein step S28 comprises the steps of:

5. The river water ecological management method based on passenger water diversion according to claim 1, wherein the step S3 comprises the following steps:

6. The river water ecology management method based on passenger water diversion of claim 1, wherein the water level security risk judgment data comprises abnormal water level data and safe water level data, and step S6 comprises the following steps:

7. River water ecological management system based on passenger water reposition of redundant personnel, characterized by comprising:

at least one processor; the method comprises the steps of,

a memory communicatively coupled to the at least one processor;

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the river water ecology management method based on passenger water diversion of any one of claims 1 to 6.