Modeling method for river water quality diffusion process detection experiment

Abstract

In order to solve the technical problem that the diffusion condition of river water quality pollution along with the change of environmental conditions and time cannot be detected, the invention provides an experimental modeling method for monitoring a river water quality diffusion process, which comprises the following steps of: establishing an equivalent river channel structure and a riverbed scaling experimental device of a to-be-researched river water quality pollution diffusion process; a water body equivalent to the actual water quality pollution condition of a river to be researched is injected, a plurality of sealed sampling test ports are formed in the riverway edge, artificial channel ports capable of sampling are established, water quality acquisition data of the river to be researched at different depths at different time and different positions are acquired, and meanwhile, a candidate model of river water quality pollution diffusion is given. Error description is given according to the obtained data, a model is determined through a system identification method and used for prediction and estimation of water quality pollution distribution, and the treatment method of the river to be researched is obtained through repeated experiments.

Description

Technical Field

[0001] This invention relates to methods for river management, and in particular to experimental modeling methods for monitoring the diffusion process of river water quality, belonging to the fields of river pollution control and ecological environmental protection. Background Technology

[0003] Effective monitoring of drinking water pollution, timely detection of pollution sources, determination of pollution scope and type, and development of corresponding emergency plans play a significant role in protecting human health and even life safety.

[0006] After pollutants enter water bodies, they migrate with the water flow. During this migration, they are affected by hydraulic, hydrological, physical, and chemical factors, leading to the transport, mixing, decomposition, dilution, and degradation of pollutants. The first model describing river water quality was the SP model, developed by Streeter and Phelps in 1925 during their study of pollution problems in the Ohio River in the United States. Various water quality models are now available for different purposes. Since the SP model, international research and development of water quality models has spanned nearly a century. Due to the diversity and complexity of river structures and riverbeds over the years, many other descriptive models have emerged, but the issue of determining the accuracy of these models has received little attention.

[0007] In the past, water quality monitoring in my country was primarily conducted manually, resulting in poor data representativeness that failed to accurately reflect the state of water pollution and thus did not meet the requirements of modern environmental management. The purpose of establishing water environment models is to determine the quantitative relationships between these interdependent factors, thereby providing technical support for water environment planning, control, and management. Against this backdrop, automatic water quality monitoring systems have significant social implications. Summary of the Invention

[0008] To overcome the technical problem of being unable to detect the diffusion of river water pollution as environmental conditions and time change, this invention provides an experimental modeling method for monitoring the diffusion process of river water pollution. This method involves establishing an equivalent river channel structure and a scaled-down experimental device representing the diffusion process of water pollution in the river under study. Water equivalent to the actual pollution level of the river is injected, and multiple sealed sampling ports are set up along the riverbank. Artificial sampling channels are also established to collect water quality data at different times and locations at different depths. Simultaneously, candidate models for river water pollution diffusion are provided, and error descriptions are given based on the acquired data. A system identification method is used to determine the model and predict the distribution of water pollution. Through repeated experiments, a treatment method for the river under study is obtained.

[0009] The technical solution adopted by this invention to solve its technical problem is: an experimental modeling method for monitoring the river water quality diffusion process, characterized by the following features: Step 1: Establish an equivalent scaled-down experimental device for the diffusion process of river water pollution. The river channel structure and riverbed of the equivalent experimental device are the same as those of the river to be studied. Water equivalent to the actual water pollution situation of the river to be studied is injected into the river channel. Multiple sealed sampling test ports are set up along the river channel, and artificial channels for sampling are set up. River water quality data at different depths of the river to be studied are collected at different times and locations. Step 2, Order , A Cartesian coordinate system is established for a given planar position and depth, with each test port corresponding to a specified river location. , Coordinates and depth of all sealed sampling test ports The coordinates are known, at the... The first basic unit, the first Seal the sampling test port and follow the time points Sampling, corresponding coordinates BOD value and COD value and using vectors Represented as: , , The number of sealed sampling test ports set up at the designated river test site. For positive integers, all indices have the same meaning, and the resulting array is:

[0010]

[0011]

[0012] Step 3: Establish candidate continuous diffusion models for BOD / COD in river water: (1) In the formula, The BOD and COD vectors to be detected For the corresponding BOD / COD coefficient matrix, For the corresponding BOD / COD Function vectors , , , , , , , , , For the corresponding Second-order partial derivatives coefficient; The equivalent experimental setup is used to simulate the input of the BOD / COD pollution source to be studied at the top. matrix, The simulation input contains the coordinates of the BOD / COD pollution sources to be studied; Step 4: Define the error in To obtain the measured BOD / COD content of the target substance using a BOD / COD analyzer according to step two, To obtain the predicted BOD / COD content of the target device according to equation (1), corresponding to the time, coordinate location, and measurement sequence,

[0013] Define the error vector: ; Assume that the coefficient functions are all composed of known functions and unknown parameter vectors: , , , , , , , , , , , in, Let the unknown parameter vector be written in the form of a global unknown parameter vector. , Based on indicators If this indicator can be taken as , As a weighted matrix, we can obtain: ,in: , It can be by

[0014] Solve , ; Step 5: Based on the results Solving according to equation (1) yields For a given time and coordinate position The BOD / COD content of the river water to be tested can be estimated. If some BOD / COD content exceeds the standard, simulate the injection of treatment liquid such as ozone gas at the designated location of the equivalent experimental device, and then repeat steps two to five until all the BOD / COD content to be tested does not exceed the standard, thereby obtaining a BOD / COD treatment plan for polluted river water.

[0015] The beneficial effects of this invention are as follows: the equivalent experimental device for the diffusion process of BOD / COD in river water can equivalently simulate the diffusion of BOD / COD at different locations and depths. Multiple sealed sampling test ports are set up along the riverbank, and artificial channels for sampling are established to facilitate the collection of BOD / COD samples from different depths of river water. At the same time, candidate models for the diffusion of BOD / COD in river water are given. The model is determined by a systematic identification method and used for the prediction and estimation of BOD / COD distribution. Through repeated experiments, the treatment method for the river under study is obtained.

[0016] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0017] Figure 1 A schematic diagram of an equivalent experimental setup for the diffusion process of river water quality. Detailed Implementation

[0018] Refer to Figure 1.

[0019] Step 1: Establish an equivalent scaled-down experimental device for the diffusion process of river water pollution. The river channel structure and riverbed of the equivalent experimental device are the same as those of the river to be studied. Water equivalent to the actual water pollution situation of the river to be studied is injected into the river channel. Multiple sealed sampling test ports are set up along the river channel, and artificial channels for sampling are set up. River water quality data at different depths of the river to be studied are collected at different times and locations. Step 2, Order , A Cartesian coordinate system is established for a given planar position and depth, with each test port corresponding to a specified river location. , Coordinates and depth of all sealed sampling test ports The coordinates are known, at the... The first basic unit, the first Seal the sampling test port and follow the time points Sampling, corresponding coordinates BOD value and COD value and using vectors Represented as: , , The number of sealed sampling test ports set up at the designated river test site. The integer is positive; the resulting array is:

[0020]

[0021]

[0022] Step 3: Establish candidate continuous diffusion models for BOD / COD in river water: (1) In the formula, The BOD and COD vectors to be detected For the corresponding BOD / COD coefficient matrix, For the corresponding BOD / COD Function vectors , , , , , , , , , For the corresponding Second-order partial derivatives coefficient; The equivalent experimental setup is used to simulate the input of the BOD / COD pollution source to be studied at the top. matrix, The simulation input contains the coordinates of the BOD / COD pollution sources to be studied; Step 4: Define the error in To obtain the measured BOD / COD content of the target substance using a BOD / COD analyzer according to step two, To obtain the predicted BOD / COD content of the target device according to equation (1), corresponding to the time, coordinate location, and measurement sequence,

[0023] Define the error vector: ; Assume that the coefficient functions are all composed of known functions and unknown parameter vectors: , , , , , , , , , , , in, Let the unknown parameter vector be written in the form of a global unknown parameter vector. , Based on indicators If this indicator can be taken as , As a weighted matrix, we can obtain: ,in: , It can be by

[0024] Solve , ; Step 5: Based on the results Solving according to equation (1) yields For a given time and coordinate position The BOD / COD content of the river water to be tested can be estimated. If some BOD / COD content exceeds the standard, simulate the injection of treatment liquid such as ozone gas at the designated location of the equivalent experimental device, and then repeat steps two to five until all the BOD / COD content to be tested does not exceed the standard, thereby obtaining a BOD / COD treatment plan for polluted river water.

Claims

1. An experimental modeling method for monitoring river water quality diffusion processes, characterized by including: The following characteristics: Step 1: Establish an equivalent scaled-down experimental device for the diffusion process of river water pollution. The river channel structure and riverbed of the equivalent experimental device are the same as those of the river to be studied. Water equivalent to the actual water pollution situation of the river to be studied is injected into the river channel. Multiple sealed sampling test ports are set up along the river channel, and artificial channels for sampling are set up. River water quality data at different depths of the river to be studied are collected at different times and locations. Step 2, Order , A Cartesian coordinate system is established for a given planar position and depth, with each test port corresponding to a specified river location. , Coordinates and depth of all sealed sampling test ports The coordinates are known, at the... The first basic unit, the first Seal the sampling test port and follow the time points Sampling, corresponding coordinates BOD value and COD value and using vectors Represented as: , , The number of sealed sampling test ports set up at the designated river test site. For positive integers, all indices have the same meaning, and the resulting array is: Step 3: Establish candidate continuous diffusion models for BOD / COD in river water: （1） In the formula, The BOD and COD vectors to be detected For the corresponding BOD / COD coefficient matrix, For the corresponding BOD / COD Function vectors , , , , , , , , , For the corresponding Second-order partial derivatives coefficient; The equivalent experimental setup is used to simulate the input of the BOD / COD pollution source to be studied at the top. matrix, The simulation input contains the coordinates of the BOD / COD pollution sources to be studied; Step 4: Define the error in To obtain the measured BOD / COD content of the target substance using a BOD / COD analyzer according to step two, To obtain the predicted BOD / COD content of the target device according to equation (1), corresponding to the time, coordinate location, and measurement sequence, Define the error vector: ； Assume that the coefficient functions are all composed of known functions and unknown parameter vectors: , , , , , , , , , , , in, Let the unknown parameter vector be written in the form of a global unknown parameter vector. , Based on indicators If this indicator can be taken as , As a weighted matrix, we can obtain: ,in: It can be by Solve , ； Step 5: Based on the results Solving according to equation (1) yields For a given time and coordinate position The BOD / COD content of the river water to be tested can be estimated. If some BOD / COD content exceeds the standard, simulate the injection of treatment liquid such as ozone gas at the designated location of the equivalent experimental device, and then repeat steps two to five until all the BOD / COD content to be tested does not exceed the standard, thereby obtaining a BOD / COD treatment plan for polluted river water.

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