CN113723791A - Urban water supply analysis method and device based on salt avoidance and fresh storage - Google Patents
Urban water supply analysis method and device based on salt avoidance and fresh storage Download PDFInfo
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 397
- 238000004458 analytical method Methods 0.000 title claims abstract description 53
- 150000003839 salts Chemical class 0.000 title claims abstract description 10
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 claims abstract description 126
- 229910052801 chlorine Inorganic materials 0.000 claims abstract description 126
- 239000000460 chlorine Substances 0.000 claims abstract description 126
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Abstract
The invention discloses a method and a device for analyzing urban water supply based on salt avoidance and fresh storage, wherein the method comprises the following steps: acquiring combination data of a target area, daily average chlorine content of a water intake and the number of times that the chlorine content of the water intake exceeds standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data; establishing a first mapping relation between the daily average chlorine content and important influence factors of the combined data, and obtaining chlorine content prediction data of the water intake according to the first mapping relation; establishing a second mapping relation between the daily average chlorine content and the chlorine content day exceeding time, and obtaining the chlorine content exceeding time prediction data of the water intake according to the second mapping relation and the chlorine content prediction data; and calculating to obtain the urban water resource supply and demand balance condition and a water supply analysis result based on the data predicted by the chlorine content exceeding time and by combining the water taking capacity of the local water intake, the reservoir regulation capacity and the storage and supply processes. The embodiment can effectively improve the reliability and accuracy of the water supply analysis result.
Description
Technical Field
The invention relates to the technical field of water supply analysis, in particular to a method and a device for urban water supply analysis based on salt avoidance and fresh storage.
Background
The water supply safety of cities in China mainly faces the problems of insufficient water resource quantity, water shortage in water quality and the like. The water source land of the coastal city belongs to a estuary type water source land, and plays a role in lifting the water supply safety guarantee of the local, but the water quality of the estuary type water source land is easily affected by the invasion of salt tide, so that the water supply safety guarantee of the coastal city is damaged.
The urban water supply risk concept is used for researching the uncertainty of urban water supply loss under the action of water supply influence factors, and the basic process of the evaluation method comprises threat identification, vulnerability evaluation and risk calculation and evaluation. At present, research on water supply risks of coastal cities at home and abroad is mainly distributed in three aspects such as threat identification and the like, the salinity space-time distribution characteristics of a coastal city river water source region in the salt tide up-tracking process, the influence of upstream runoff and tide on the chlorine content of a water intake and the like are mainly researched, and common research means comprise physical experiments, river water quality numerical models and statistical analysis. Based on various researches, scholars at home and abroad successively put forward relevant concepts such as critical pressure and salt flow, critical water level line and fresh water guarantee rate to identify and analyze the water supply safety risk of coastal cities by the upward tracing of salt tide. However, it is difficult to obtain accurate water supply analysis results in the conventional water supply analysis methods.
Disclosure of Invention
The invention provides a salty and light avoiding-based urban water supply analysis method and device, and aims to solve the technical problem that an accurate water supply analysis result is difficult to obtain by an existing air water supply analysis method.
The first embodiment of the invention provides a method for analyzing urban water supply based on saltiness and saltiness avoidance, which comprises the following steps:
acquiring combination data of a target area, daily average chlorine content of a water intake and the number of times that the chlorine content of the water intake exceeds a standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data;
establishing a first mapping relation between the daily average chlorine content and important influence factors of the combined data, and obtaining chlorine content prediction data of the water intake according to the first mapping relation, wherein the important influence factors comprise a wind factor, a tide factor and a runoff factor;
establishing a second mapping relation between the daily average chlorine content and the number of times that the chlorine content exceeds the standard, and obtaining forecast data of the number of times that the chlorine content of the water intake exceeds the standard according to the second mapping relation and the forecast data of the chlorine content;
calculating to obtain the urban water resource supply and demand balance condition based on the chlorinity super-standard time prediction data, the water intake capacity of the water intake and the interest storage capacity of the local reservoir, performing salt-avoiding and fresh-keeping water supply on a target area based on the urban water resource supply and demand balance condition, storing surplus water into the reservoir when the urban water intake scale meets the urban daily water demand, supplying water through reservoir supply when the urban water intake scale does not meet the urban daily water demand, and calculating to obtain a water supply analysis result according to the urban water resource supply and demand balance condition and the water supply condition.
Further, the establishing of the first mapping relationship between the daily chlorine content and the important influence factor of the combined data specifically includes:
the expression of the first mapping relationship is as follows:
S＝f(W,H,Q) (1)
wherein S is the daily chlorine content, W is the wind factor, H is the tide factor, and Q is the runoff factor.
Further, the establishing of the second mapping relationship between the daily average chlorine content and the exceeding time of the chlorine content day specifically includes:
the expression of the second mapping relationship is:
h＝g(S) (2)
wherein S is the daily average chlorine content, and h is the number of times that the chlorine content exceeds the standard.
Further, before establishing the first mapping relationship between the daily chlorine content and the important influence factor of the combined data, the method further includes:
and performing time-lag correction on the combined data according to the response time of the chlorinity of the water body in the target area to the influence factor.
Further, the water supply analysis result is obtained by calculating according to the urban water resource supply and demand balance condition and the water supply condition, and specifically comprises the following steps:
calculating to obtain the scale of urban water intake based on the predicted data of the chlorine content exceeding the standard and the water intake capacity of the water intake;
obtaining urban water resource supply and demand balance conditions according to the urban water intaking scale, the reservoir water storage capacity and the urban daily water demand, and calculating to obtain urban daily water shortage information according to the urban water resource supply and demand balance conditions;
and obtaining the water shortage days in the dry season of the target area according to the daily water shortage information of the city, calculating the water shortage rate of the target area according to the water shortage days in the dry season of the target area and the total days in the dry season of the target area, and taking the water shortage rate as a water supply analysis result of the target area.
Further, the urban water intake scale is calculated based on the predicted data of the chlorine content exceeding the standard and the water intake capacity of the water intake, and specifically comprises the following steps:
the expression of the urban water intaking scale is as follows:
wherein, IiThe total quantity of water intake of the city water supply system of the target area on the ith day, n is the total number of water intake ports, QjIs the daily intake capacity, h, of the jth intakejiPredicting data h for the number of chlorine exceeding times of the jth water intake on the ith dayji∈[0,24]。
Further, the method for calculating daily water shortage information of the city according to the urban water intake scale, the reservoir water storage capacity and the daily urban water demand obtains the urban water resource supply and demand balance condition, and specifically comprises the following steps:
when the urban water intake scale is larger than or equal to the daily water demand of the city:
Wres,i＝0 (4)
Wriv,i＝Wi (5)
Ws,i＝Wriv,i+Wres,i (6)
Li＝0 (8)
Di＝0 (9)
when the city water intake scale is less than the daily water demand of the city:
Wriv,i＝Ii (11)
Ws,i＝Wriv,i+Wres,i (12)
wherein, Wres,iTotal water supply of reservoir on day i, Wriv,iThe total water intake and water supply on day i, Ws,iTotal city water supply on day i, ViThe balance of the interest-making storage capacity and V of the reservoir on the ith dayi-1Balance of reservoir interest storage capacity i-1 day, VregularIs the xingli reservoir capacity of the reservoir, LiThe city water shortage on day i, DiThe information of daily water shortage of the city on the ith day.
Further, the number of days of water shortage in the dry season of the target area is obtained according to the daily urban water shortage information, the water shortage rate of the target area is calculated according to the number of days of water shortage in the dry season of the target area and the total number of days of the dry season of the target area, and the water shortage rate is used as a water supply analysis result of the target area, and the method specifically comprises the following steps:
wherein R is the number of days of water shortage in the dry season of the target area, N is the total number of days of the dry season of the target area, and p is the water shortage rate of the target area.
Another embodiment of the present invention provides a device for analyzing urban water supply based on saltiness and saltiness avoidance, comprising:
the data acquisition module is used for acquiring the combined data of the target area, the daily average chlorine content of the water intake and the number of times that the chlorine content of the water intake exceeds the standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data;
the first calculation module is used for establishing a first mapping relation between the daily average chlorine content and important influence factors of the combined data, and obtaining chlorine content prediction data of the water intake according to the first mapping relation, wherein the important influence factors comprise a wind factor, a tide factor and a runoff factor;
the second calculation module is used for establishing a second mapping relation between the daily average chlorine content and the number of times that the chlorine content exceeds the standard, and obtaining forecast data of the number of times that the chlorine content of the water intake exceeds the standard according to the second mapping relation and the forecast data of the chlorine content;
and the water supply analysis module is used for calculating to obtain the urban water resource supply and demand balance condition based on the chlorinity exceeding time prediction data, the water intake capacity of the water intake and the interest storage capacity of the local reservoir, performing salt-avoiding and fresh-keeping water supply on the target area based on the urban water resource supply and demand balance condition, storing the surplus water quantity into the reservoir when the urban water intake scale meets the urban daily water demand, supplying water through reservoir supply when the urban water intake scale does not meet the urban daily water demand, and calculating to obtain a water supply analysis result according to the urban water resource supply and demand balance condition and the water supply condition.
According to the embodiment of the invention, the mapping relation between the daily chlorine content and the important influence factors is constructed, and the water supply analysis is carried out on the water resource of the target area by combining the mapping relation between the daily chlorine content and the daily overproof time of the chlorine content, so that the influence of the salt-avoiding and salt-saving scheduling on urban water supply is fully considered, the reliability and the accuracy of a water supply analysis result can be effectively improved, and the reliable scientific basis is provided for the structural adjustment of an urban water supply system of the target area and the planning of a local reservoir.
Drawings
FIG. 1 is a schematic flow chart of a method for analyzing urban water supply based on saltiness avoidance and desalination according to an embodiment of the present invention;
FIG. 2 is another schematic flow chart of a method for analyzing urban water supply based on saltiness avoidance and desalination according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the chlorinity prediction model training and verification provided in the embodiments of the present invention;
FIG. 4 is a schematic diagram of a mapping relationship between a chlorine content and a number of hours when the chlorine content exceeds a standard value according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an urban water supply analysis device based on saltiness avoidance and desalination according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
Referring to fig. 1, in a first embodiment of the present invention, there is provided a method for analyzing urban water supply based on saltiness and saltiness avoidance shown in fig. 1, including:
s1, acquiring the combined data of the target area, the daily average chlorine content of the water intake and the number of times that the chlorine content of the water intake exceeds the standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data;
s2, establishing a first mapping relation between the daily average chlorine content and important influence factors of the combined data, and obtaining chlorine content prediction data of the water intake according to the first mapping relation, wherein the important influence factors comprise wind factors, tide factors and runoff factors;
optionally, in the embodiment of the present invention, a chlorinity prediction model may be formed by using a BP artificial neural network tool to predict the chlorinity prediction data of the water intake.
S3, establishing a second mapping relation between the daily average chlorine content and the exceeding time of the chlorine content day, and obtaining the exceeding time prediction data of the chlorine content of the water intake according to the second mapping relation and the chlorine content prediction data;
s4, calculating to obtain the balance situation of the supply and demand of urban water resources based on the forecast data of the chlorinity exceeding time, the water intake capacity of the water intake and the interest storage capacity of the local reservoir, performing salt-avoiding and fresh-keeping water supply on the target area based on the balance situation of the supply and demand of the urban water resources, storing the surplus water into the reservoir when the scale of the urban water intake meets the daily water demand of the city, supplying water through the reservoir when the scale of the urban water intake does not meet the daily water demand of the city, and calculating to obtain a water supply analysis result according to the balance situation of the supply and demand of the urban water resources and the water supply situation.
According to the embodiment of the invention, the mapping relation between the daily chlorine content and the important influence factors is constructed, and the water supply analysis is carried out on the water resource of the target area by combining the mapping relation between the daily chlorine content and the daily overproof time of the chlorine content, so that the influence of the salt-avoiding and salt-saving scheduling on urban water supply is fully considered, the reliability and the accuracy of a water supply analysis result can be effectively improved, and the reliable scientific basis is provided for the structural adjustment of an urban water supply system of the target area and the planning of a local reservoir.
As a specific implementation manner of the embodiment of the present invention, a first mapping relationship between the average daily chlorine content and the important influence factor of the combined data is established, specifically:
the expression of the first mapping relationship is:
S＝f(W,H,Q) (1)
wherein S is the daily chlorine content, W is the wind factor, H is the tide factor, and Q is the runoff factor.
As a specific implementation manner of the embodiment of the present invention, a second mapping relationship between the daily average chlorine content and the exceeding standard number of times of the chlorine content is established, specifically:
the expression of the second mapping relationship is:
h＝g(S) (2)
wherein S is the daily average chlorine content, and h is the number of times that the chlorine content exceeds the standard.
In the embodiment of the invention, the number of times that the chlorine content exceeds the standard every day is the number of times that the chlorine content of the water body is more than or equal to 250mg/L every day. According to the embodiment of the invention, when the first mapping relation and the second mapping relation are constructed, fitting optimization can be carried out on the power function and the polynomial function by combining with actual conditions, under the influence of the current tide in the dry season, the salinity of the water intake can reach the maximum value, the chlorine content exceeding time is provided with an upper boundary and a lower boundary, the value of the chlorine content exceeding time is between [0 and 24] h, and the function is segmented based on the boundary constraint during fitting.
As a specific implementation manner of the embodiment of the present invention, before establishing the first mapping relationship between the average chlorine content in day and the important influence factor of the combined data, the method further includes:
and performing time-lag correction on the combined data according to the response time of the chlorinity of the water body in the target area to the influence factors.
In the embodiment of the invention, the time lag correction is carried out on the combined data through the response time of the chlorinity of the water body on the influence factors, so that the combined data is more accurate, and the accuracy of water supply analysis on the target area is improved.
As a specific implementation manner of the embodiment of the present invention, a water supply analysis result is obtained by calculating according to the urban water resource supply and demand balance condition and the water supply condition, and specifically:
calculating to obtain the scale of urban water intake based on the predicted data of the chlorine content exceeding the standard and the water intake capacity of the water intake;
obtaining urban water resource supply and demand balance conditions according to the urban water intake scale, the reservoir water storage capacity and the urban daily water demand, and calculating to obtain urban daily water shortage information according to the urban water resource supply and demand balance conditions;
and obtaining the water shortage days in the dry season of the target area according to the daily water shortage information of the city, calculating the water shortage rate of the target area according to the water shortage days in the dry season of the target area and the total days in the dry season of the target area, and taking the water shortage rate as a water supply analysis result of the target area.
In the embodiment of the invention, the idea of the combined water supply of the salt-avoiding and fresh-storing reservoir is as follows: when the chlorine content of the water intake exceeds the standard, the water intake time is indefinite, water intake is required to avoid the time interval affected by salt tide by each water intake, the water intake is firstly supplied to a water plant, and if the water storage requirement of the regional day can be met, the surplus water is stored to a reservoir; and if the daily water storage of the region cannot be met, water supply is supplied through reservoir scheduling.
As a specific implementation manner of the embodiment of the present invention, the urban water intake scale is calculated based on the predicted data of the chlorine content exceeding the standard and the water intake capacity of the water intake, and specifically:
the expression of the scale of urban water intake is as follows:
wherein, IiThe total quantity of water intake of the city water supply system in the target area on the ith day, n is the total number of water intake ports, and QjIs the daily intake capacity, h, of the jth intakejiPredicting data h for the number of chlorine exceeding times of the jth water intake on the ith dayji∈[0,24]。
As a specific implementation manner of the embodiment of the present invention, the urban water supply and demand balance condition is obtained according to the urban water intake scale, the reservoir water storage capacity, and the urban daily water demand, and the urban daily water shortage information is obtained by calculation according to the urban water supply and demand balance condition, which specifically includes:
when the urban water intake scale is more than or equal to the daily water demand of the city:
Wres,i＝0 (4)
Wriv,i＝Wi (5)
Ws,i＝Wriv,i+Wres,i (6)
Li＝0 (8)
Di＝0 (9)
when the urban water intake scale is smaller than the daily water demand of the city:
Wriv,i＝Ii (11)
Ws,i＝Wriv,i+Wres,i (12)
wherein, Wres,iTotal water supply of reservoir on day i, Wriv,iThe total water intake and water supply on day i, Ws,iTotal city water supply on day i, ViThe balance of the interest-making storage capacity and V of the reservoir on the ith dayi-1Balance of reservoir interest storage capacity i-1 day, VregularIs the xingli reservoir capacity of the reservoir, LiThe city water shortage on day i, DiThe information of daily water shortage of the city on the ith day.
As a specific implementation manner of the embodiment of the present invention, the number of days of water shortage in the dry run of the target area is obtained according to the daily urban water shortage information, the water shortage rate of the target area is obtained by calculating according to the number of days of water shortage in the dry run of the target area and the total number of days of the dry run of the target area, and the water shortage rate is used as the water supply analysis result of the target area, which specifically includes:
wherein R is the number of days of water shortage in the dry season of the target area, N is the total number of days of the dry season of the target area, and p is the water shortage rate of the target area.
Please refer to fig. 2, which is another schematic flow chart of a water supply analysis method according to an embodiment of the present invention.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, the mapping relation between the daily average chlorine content and the important influence factors is constructed, and the water resource of the target area is subjected to water supply analysis by combining the mapping relation between the daily average chlorine content and the chlorine content day exceeding time, so that the influence of the chlorine content of the water body of the target area on urban water supply is fully considered, the problem that the urban water supply requirement is influenced because the chlorine content of the water body of the target area exceeds the standard in the dry season is avoided, the reliability and the accuracy of the water supply analysis result can be effectively improved, the salty and light avoiding scheduling of the target area is facilitated, and the reliable scientific basis is provided for the urban water supply system structure adjustment and the local reservoir planning of the target area.
Referring to fig. 3-4, a second embodiment of the present invention provides a water supply analysis method for a water supply system in a low water season of a coastal city, which includes:
collecting wind field data (radial wind speed) of the coastal city in the dry season, tide data (lowest tide level and tidal range) of a estuary tide level station, the water incoming process of the upstream of the same period and the daily chlorine content and standard exceeding time number data of a river channel water intake of the urban water supply system. And comparing the cross correlation between the influence factors and the chlorinity, and combining with physical mechanism cause analysis to determine that the influence lag time of the flow, the daily maximum tidal range, the daily minimum tidal level and the radial wind speed on the chlorinity is +2 days, +3 days, -2 days and +2 days respectively, and then carrying out influence factor lag time correction. Table 1 below is a table of sample data of the chlorine content and the impact factors.
Table 1: chlorine content and influence factor sample data table
And respectively constructing a water intake first and second daily average chlorine content prediction model by using a Back Propagation Artificial Neural network (BP-ANN). The inputs and outputs of the chlorinity prediction model are shown in table 2.
TABLE 2 chlorinity prediction model input and output terms
Setting the number of hidden layer nodes of a chlorine content prediction model of a water intake to be 10, and setting the overall network structure to be 4-10-1; the number of hidden layer nodes of the model for predicting the chlorinity of the second water inlet is 12, and the overall network structure is 4-12-1. The proportion of the training set and the verification set of the artificial neural network chlorinity model to the sample is set to be 0.85 and 0.15 respectively. Please refer to fig. 3, which is a schematic diagram illustrating the chlorinity prediction model training and verification according to the present invention.
Referring to table 3, in the embodiment of the present invention, an upstream water inlet process with 90% of hydrologic frequency in the dry season of the coastal city is obtained through hydrologic frequency calculation, and data such as typical wind, tide level and the like are integrated as inputs of the model for predicting the chlorinity of the first water intake and the second water intake.
Table 3: impact factor entry
Referring to table 4, in the embodiment of the present invention, the chlorine content prediction results of the first water intake and the second water intake are obtained through calculation of the chlorine content prediction model.
Table 4: prediction result of chlorine content of water intake
Referring to fig. 4, a mapping relationship between the average daily chlorine content and the exceeding daily chlorine content of the first water intake and the second water intake is established based on historical data of the number of the chlorine-containing days.
Referring to table 5, the chlorine content prediction data of each water intake is substituted into the mapping relation between the chlorine content and the overproof time to calculate, so as to obtain the result of predicting the overproof time of the chlorine content of the water intake.
Table 5: water intake chlorinity overproof time prediction result table
Referring to tables 6-7, the water supply system parameters of the planned horizontal year of the coastal city and the prediction data of the chlorine content exceeding time of each water intake are substituted into formulas (3) - (14) to perform water resource supply and demand balance calculation, so as to obtain the analysis result of the urban water resource supply and demand balance.
TABLE 6 horizontal year water supply system parameters for certain coastal city planning
Table 7: supply and demand balance analysis result table
The calculation of substituting the water resource supply and demand balance analysis result into the formulas (15) - (16) shows that the total water shortage days in the water shortage period of the coastal city planned horizontal year are 105 days, the water shortage rate is 57.7%, and the water shortage period is from 17 days in the 12 th year to 31 days in the next 3 th year.
Referring to fig. 5, a third embodiment of the present invention provides a device for analyzing urban water supply based on saltiness and saltiness avoidance, comprising:
the data acquisition module 10 is used for acquiring the combined data of the target area, the daily average chlorine content of the water intake and the number of times that the chlorine content of the water intake exceeds the standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data;
the first calculation module 20 is configured to establish a first mapping relationship between the daily average chlorine content and important influence factors of the combined data, and obtain chlorine content prediction data of the water intake according to the first mapping relationship, where the important influence factors include a wind factor, a tide factor, and a runoff factor;
the second calculation module 30 is configured to establish a second mapping relationship between the daily average chlorine content and the chlorine content exceeding time, and obtain the chlorine content exceeding time prediction data of the water intake according to the second mapping relationship and the chlorine content prediction data;
and the water supply analysis module 40 is used for calculating to obtain the urban water resource supply and demand balance condition based on the chlorinity exceeding time prediction data, the water intake capacity of the water intake and the interest storage capacity of the local reservoir, performing salt-avoiding and fresh-keeping water supply on the target area based on the urban water resource supply and demand balance condition, storing the surplus water quantity into the reservoir when the urban water intake scale meets the urban daily water demand, supplying water through reservoir supply when the urban water intake scale does not meet the urban daily water demand, and calculating to obtain a water supply analysis result according to the urban water resource supply and demand balance condition and the water supply condition.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, the mapping relation between the daily average chlorine content and the important influence factors is constructed, and the water resource of the target area is subjected to water supply analysis by combining the mapping relation between the daily average chlorine content and the chlorine content day exceeding time, so that the influence of the chlorine content of the water body of the target area on urban water supply is fully considered, the problem that the urban water supply requirement is influenced because the chlorine content of the water body of the target area exceeds the standard in the dry season is avoided, the reliability and the accuracy of the water supply analysis result can be effectively improved, the salty and light avoiding scheduling of the target area is facilitated, and the reliable scientific basis is provided for the urban water supply system structure adjustment and the local reservoir planning of the target area.
The foregoing is a preferred embodiment of the present invention, and it should be noted that it would be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are also considered to be within the scope of the invention.
Claims (9)
1. A city water supply analysis method based on salt and light avoidance is characterized by comprising the following steps:
acquiring combination data of a target area, daily average chlorine content of a water intake and the number of times that the chlorine content of the water intake exceeds a standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data;
establishing a first mapping relation between the daily average chlorine content and important influence factors of the combined data, and obtaining chlorine content prediction data of the water intake according to the first mapping relation, wherein the important influence factors comprise a wind factor, a tide factor and a runoff factor;
establishing a second mapping relation between the daily average chlorine content and the number of times that the chlorine content exceeds the standard, and obtaining forecast data of the number of times that the chlorine content of the water intake exceeds the standard according to the second mapping relation and the forecast data of the chlorine content;
calculating to obtain the urban water resource supply and demand balance condition based on the chlorinity super-standard time prediction data, the water intake capacity of the water intake and the interest storage capacity of the local reservoir, performing salt-avoiding and fresh-keeping water supply on a target area based on the urban water resource supply and demand balance condition, storing surplus water into the reservoir when the urban water intake scale meets the urban daily water demand, supplying water through reservoir supply when the urban water intake scale does not meet the urban daily water demand, and calculating to obtain a water supply analysis result according to the urban water resource supply and demand balance condition and the water supply condition.
2. The saltiness-avoiding and desalination-based urban water supply analysis method according to claim 1, wherein the establishing of the first mapping relationship between the average daily chlorine content and the important influence factors of the combined data comprises:
the expression of the first mapping relationship is as follows:
S＝f(W,H,Q) (1)
wherein S is the daily chlorine content, W is the wind factor, H is the tide factor, and Q is the runoff factor.
3. The saltiness-avoiding and desalination-based urban water supply analysis method according to claim 1, wherein the establishing of the second mapping relationship between the daily average chlorine content and the number of times that the chlorine content exceeds the standard level specifically comprises:
the expression of the second mapping relationship is:
h＝g(S) (2)
wherein S is the daily average chlorine content, and h is the number of times that the chlorine content exceeds the standard.
4. The saltiness-avoidance and desalination-based urban water supply analysis method according to claim 1, wherein before establishing the first mapping relationship between the average daily chlorine content and the important influence factor of the combined data, the method further comprises:
and performing time-lag correction on the combined data according to the response time of the chlorinity of the water body in the target area to the influence factor.
5. The saltiness-avoiding and desalination-based urban water supply analysis method according to claim 1, wherein the water supply analysis result is obtained by calculation according to the urban water resource supply and demand balance condition and the water supply condition, and specifically comprises:
calculating to obtain the scale of urban water intake based on the predicted data of the chlorine content exceeding the standard and the water intake capacity of the water intake;
obtaining urban water resource supply and demand balance conditions according to the urban water intaking scale, the reservoir water storage capacity and the urban daily water demand, and calculating to obtain urban daily water shortage information according to the urban water resource supply and demand balance conditions;
and obtaining the water shortage days in the dry season of the target area according to the daily water shortage information of the city, calculating the water shortage rate of the target area according to the water shortage days in the dry season of the target area and the total days in the dry season of the target area, and taking the water shortage rate as a water supply analysis result of the target area.
6. The saltiness-avoiding and dilution-based urban water supply analysis method according to claim 5, wherein the urban water intake scale is calculated based on the predicted data of the chlorine content exceeding the standard and the water intake capacity of the water intake, and specifically comprises the following steps:
the expression of the urban water intaking scale is as follows:
wherein, IiThe total quantity of water intake of the city water supply system of the target area on the ith day, n is the total number of water intake ports, QjIs the daily intake capacity, h, of the jth intakejiPredicting data h for the number of chlorine exceeding times of the jth water intake on the ith dayji∈[0,24]。
7. The saltiness-avoiding and desalination-based urban water supply analysis method according to claim 5, wherein the urban water supply and demand balance condition is obtained according to the urban water intake scale, the reservoir water storage capacity and the urban daily water demand, and the urban daily water shortage information is calculated according to the urban water supply and demand balance condition, and specifically comprises the following steps:
when the urban water intake scale is larger than or equal to the daily water demand of the city:
Wres,i＝0 (4)
Wriv,i＝Wi (5)
Ws,i＝Wriv,i+Wres,i (6)
Li＝0 (8)
Di＝0 (9)
when the city water intake scale is less than the daily water demand of the city:
Wriv,i＝Ii (11)
Ws,i＝Wriv,i+Wres,i (12)
wherein, Wres,iTotal water supply of reservoir on day i, Wriv,iThe total water intake and water supply on day i, Ws,iTotal city water supply on day i, ViThe balance of the interest-making storage capacity and V of the reservoir on the ith dayi-1Balance of reservoir interest storage capacity i-1 day, VregularIs the xingli reservoir capacity of the reservoir, LiThe city water shortage on day i, DiThe information of daily water shortage of the city on the ith day.
8. The saltiness-avoiding and desalination-based urban water supply analysis method according to claim 5, wherein the number of days of water shortage in the dry season of the target area is obtained according to the daily urban water shortage information, the water shortage rate of the target area is calculated according to the number of days of water shortage in the dry season of the target area and the total number of days of dry season of the target area, and the water shortage rate is used as a water supply analysis result of the target area, and specifically:
wherein R is the number of days of water shortage in the dry season of the target area, N is the total number of days of the dry season of the target area, and p is the water shortage rate of the target area.
9. The utility model provides a city water supply analytical equipment based on keep away salty and weak, its characterized in that includes:
the data acquisition module is used for acquiring the combined data of the target area, the daily average chlorine content of the water intake and the number of times that the chlorine content of the water intake exceeds the standard; wherein the combined data includes typical wind, tidal and upstream incoming water process data;
the first calculation module is used for establishing a first mapping relation between the daily average chlorine content and important influence factors of the combined data, and obtaining chlorine content prediction data of the water intake according to the first mapping relation, wherein the important influence factors comprise a wind factor, a tide factor and a runoff factor;
the second calculation module is used for establishing a second mapping relation between the daily average chlorine content and the number of times that the chlorine content exceeds the standard, and obtaining forecast data of the number of times that the chlorine content of the water intake exceeds the standard according to the second mapping relation and the forecast data of the chlorine content;
and the water supply analysis module is used for calculating to obtain the urban water resource supply and demand balance condition based on the chlorinity exceeding time prediction data, the water intake capacity of the water intake and the interest storage capacity of the local reservoir, performing salt-avoiding and fresh-keeping water supply on the target area based on the urban water resource supply and demand balance condition, storing the surplus water quantity into the reservoir when the urban water intake scale meets the urban daily water demand, supplying water through reservoir supply when the urban water intake scale does not meet the urban daily water demand, and calculating to obtain a water supply analysis result according to the urban water resource supply and demand balance condition and the water supply condition.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116776539A (en) * | 2023-05-09 | 2023-09-19 | 珠江水利委员会珠江水利科学研究院 | Salt tide forecasting method and system based on cross wavelet analysis |
| CN116993030A (en) * | 2023-09-27 | 2023-11-03 | 长江水利委员会水文局 | Reservoir pressure salty taste adjustment method and system under variable conditions |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101824807A (en) * | 2010-04-16 | 2010-09-08 | 同济大学 | Method for short-term prediction of salt tide at water intake in tidal river region |
| CN102156413A (en) * | 2010-12-30 | 2011-08-17 | 清华大学 | Emergency scheduling method and system thereof for urban multi-source raw water system |
| CN102253423A (en) * | 2011-03-25 | 2011-11-23 | 南京师范大学 | Proper water supply position intelligent recognition technology based on multi-source hydrogeology survey information |
| CN113095954A (en) * | 2021-03-29 | 2021-07-09 | 上海市水务规划设计研究院(上海市海洋规划设计研究院) | Design method of urban drinking water multi-water-source communication scheme |
-
2021
- 2021-08-24 CN CN202110975666.9A patent/CN113723791A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101824807A (en) * | 2010-04-16 | 2010-09-08 | 同济大学 | Method for short-term prediction of salt tide at water intake in tidal river region |
| CN102156413A (en) * | 2010-12-30 | 2011-08-17 | 清华大学 | Emergency scheduling method and system thereof for urban multi-source raw water system |
| CN102253423A (en) * | 2011-03-25 | 2011-11-23 | 南京师范大学 | Proper water supply position intelligent recognition technology based on multi-source hydrogeology survey information |
| CN113095954A (en) * | 2021-03-29 | 2021-07-09 | 上海市水务规划设计研究院(上海市海洋规划设计研究院) | Design method of urban drinking water multi-water-source communication scheme |
Non-Patent Citations (4)
| Title |
|---|
| 刘小梅 等: "青草沙避咸蓄淡水库库容与特征水位研究", 《水利水电技术》, no. 7, pages 5 - 8 * |
| 刘长礼等: "城市地质环境评价理论方法", 31 July 2012, 地质出版社, pages: 89 * |
| 王华等: "Delft3D模型理论及应用", 31 December 2018, 海洋出版社, pages: 313 - 321 * |
| 王婷等: "区域水资源多目标均衡调度研究与应用", 31 December 2020, 中国水利水电出版社, pages: 43 - 47 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116776539A (en) * | 2023-05-09 | 2023-09-19 | 珠江水利委员会珠江水利科学研究院 | Salt tide forecasting method and system based on cross wavelet analysis |
| CN116776539B (en) * | 2023-05-09 | 2023-12-12 | 珠江水利委员会珠江水利科学研究院 | Salt tide forecasting method and system based on cross wavelet analysis |
| CN116993030A (en) * | 2023-09-27 | 2023-11-03 | 长江水利委员会水文局 | Reservoir pressure salty taste adjustment method and system under variable conditions |
| CN116993030B (en) * | 2023-09-27 | 2023-12-08 | 长江水利委员会水文局 | Reservoir pressure salty taste adjustment method and system under variable conditions |
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