KR20240000915A - Water supply and demand analysis method based on historical data by using downscaling watershed and recording medium storing program for executing the method - Google Patents

Abstract

The present invention estimates the natural flow rate in sub-basin units subdivided according to river nodes, and uses a water cycle model that links discharge elements, intake elements, and regression elements at each point of the river to the river network to estimate the natural flow rate for each sub-basin and each element. The water balance is analyzed for each point in the river by performing a process of integrating the flow rate along the river flow, and the flow rate at each point estimated according to the water balance analysis is corrected according to the observed flow rate to determine the water supply and demand situation at each point. It relates to a water supply and demand analysis method based on performance data through watershed detailing that can accurately evaluate water supply and demand, and a program stored in a computer-readable recording medium to implement the method.

Description

A water supply and demand analysis method based on performance data through basin detailing and a program stored in a computer-readable recording medium for implementing the method METHOD}

The present invention creates a water cycle model that links sub-basins subdivided according to river nodes, discharge elements, intake elements, and regression elements at each point of the river to the river network, analyzes the water balance for each point of the river, and estimates the flow rate. , a water supply and demand analysis method based on performance data through basin detailing that can accurately evaluate the water supply and demand situation by correcting the estimated flow rate at each point according to the observed flow rate, and a program stored in a computer-readable recording medium to implement the method. It's about.

Most domestic and industrial water is supplied through dams and reservoirs, but it is also supplied directly from rivers. In addition, agricultural water is sometimes supplied from reservoirs, but in the case of agricultural water demand areas created along rivers, water is supplied directly from the river.

Accordingly, in order to efficiently manage rivers by monitoring drought at arbitrary water intake points of the river, the natural flow rate at each point due to rainfall, the supply flow rate from dams, weirs, reservoirs, etc., the water intake flow rate at each point of the river, It must be possible to accurately produce the flow rate at any point in the river on a daily basis by comprehensively and in detail analyzing the return flow rate of water from the intake tank returning to the river.

However, in the past, the parameters obtained for optimizing the rainfall-runoff model created at the large or mid-area level are transferred to the standard watershed to estimate the natural flow rate in the standard watershed, so the natural flow rate for any point in the river is subdivided into standard watersheds or lower. It could not be used directly to obtain, and since there is an error in the rainfall-runoff model, the actual natural flow rate must be estimated based on the observed flow rate, but it is difficult to faithfully reflect the performance of the intake and discharge facilities existing at each point, so the actual natural flow rate cannot be obtained accurately. There was no way.

In addition, although most of the data on the supply water of dams and weirs could be obtained directly, the supply water of reservoirs could not be obtained directly, and standards set uniformly according to the purpose of water, the size and characteristics of the water demand area, etc. were applied to determine water intake and regression. Because water volume is estimated, it is difficult to obtain accurate flow rates on a daily basis. Moreover, because the existing analysis was done using a conceptual water cycle model at the mid-area level, the flow rate at an arbitrary point could not be produced on a daily basis.

Accordingly, the applicant's inventor was able to analyze the water balance at each point by using a watershed map segmented based on the nodes of the river and linking the elements of each point of the river related to discharge, intake and return to the river network according to performance data. By developing a water cycle model, we have laid the foundation for evaluating the water supply and demand situation across rivers.

However, the water cycle model developed by the inventor includes a method of estimating the natural flow rate for each sub-basin by detailing the basin into sub-basins, a method of calculating the return flow rate according to the paddy drainage model of the agricultural water demand area where water is supplied directly from the reservoir, and the estimated Because the focus is on the flow verification method, there are some shortcomings in accurately reflecting and analyzing all the elements that exist in the river basin, especially the influence of dams, weirs, and reservoirs, and agricultural water that is not directly supplied to low-lying areas. There were limitations in accurately analyzing the water balance for each river section by generally reflecting the water intake and return volume for the demand area, the verification results of the estimated flow rate, and the correction and utilization method of the natural flow rate.

The development of water circulation model based on quasi-realtime hydrological data for drought monitoring, Journal of the Korean Society of Water Resources v.53 no.8, pp. 569 - 582, 2020, 1226-6280, Korean Society of Water Resources Introduction to a water cycle model based on performance data for hydrological drought assessment and prediction, Water and Future: Journal of the Korean Society of Water Resources = Water for future v.53 no.4, pp. 16 - 23, 2020, 1738-9488, Korean Society of Water Resources

Therefore, the purpose of the present invention is to construct a water cycle model that reflects discharge elements and various types of agricultural water demand areas, and based on this, not only correct and accurately estimate the flow rate for the entire river, but also adaptively estimate the natural flow rate. A water supply and demand analysis method based on performance data through basin detail that enables the water supply and demand situation for each section of the river to be examined at a usable level by accurately estimating it, and a program stored in a computer-readable recording medium to implement the method. It is provided.

In order to achieve the above object, the present invention includes meteorological data, a rainfall-runoff model of the analysis target basin, discharge flow performance data of supply elements including dams, weirs, and reservoirs, and water intake stations, river water use facilities, and pumping stations. Among the regression elements including water intake flow performance data of water intake elements, sewage treatment plants, and agricultural water demand areas, regression flow performance data of sewage treatment plants, rice field drainage models of agricultural water demand areas, and observed flow rates obtained from flow observation points on rivers are used. In the water supply and demand analysis method based on performance data through basin detailing, which analyzes the data of the database unit 20 input and stored by the data processing unit 30 to determine the water supply and demand status, the confluence point of the river 100 and rainfall outflow The concentration point, the point of the supply element, the source of the main stream or the inflow point of the main stream and the source of the tributaries of the river are set as river nodes (103), and the subbasin obtained by dividing the analysis target basin based on the river nodes (103) ( 200) After creating a river network matched for each section, a water cycle model creation step (S100) of creating a water cycle model linked to the river network by setting nodes (105, 106) linking water intake elements and regression elements to the river network; The natural flow rate for each subbasin is calculated using the rainfall-runoff model, and the discharge flow rate of the supply factor to be added, the intake flow rate of the water intake factor to be added, and the regression flow rate of the regression factor to be subtracted are determined based on performance data. Among the regression factors, agricultural use The return flow rate of the water demand area is calculated using the rice field drainage model, and the natural flow rate for each sub-basin is sequentially integrated following the flow direction of the river. The water intake flow rate of the intake element is subtracted, and the return flow rate of the regression element is subtracted to reach each river node ( A water balance analysis step (S200) in which the accumulated amount up to 103) is obtained, but when a supply element is encountered, the accumulated amount is initialized with the discharge flow rate of the supply element, and the accumulated amount up to each river node 103 is estimated as the flow rate; After correcting the estimated flow rate at the flow rate observation point to match the observed flow rate, a verification/correction step (S300) of correcting the estimated flow rate at each river node 103 existing upstream of the flow rate observation point using the same correction method; It includes a water supply and demand analysis step (S400) in which the water supply and demand status is analyzed according to the corrected flow rate of each river node 103.

The present invention, achieved as described above, can analyze the natural flow rate in detail by subdividing the river network to have all nodes that affect the flow rate, and based on a water cycle model that reflects the influence of supply factors, the flow rate at each point can be accurately determined. Since it can be estimated, the water supply and demand situation for the entire river can be clearly judged.

According to an embodiment of the present invention, even if performance data is used, the water intake flow rate and return flow rate of various types of agricultural water demand areas can be more accurately estimated, which has the advantage of being particularly useful for drought monitoring.

1 is a block diagram of a water supply and demand analysis device for implementing a water supply and demand analysis method based on performance data through basin detail according to an embodiment of the present invention.
Figure 2 is a flowchart of a water supply and demand analysis method based on performance data through basin detail according to an embodiment of the present invention.
Figure 3 is a watershed diagram showing an enlarged view of one of the existing mid-region watersheds.
Figure 4 is a detailed watershed diagram obtained by dividing the standard watershed into subwatersheds according to the present invention.
Figure 5 is a detailed watershed map of the standard watershed linking water intake elements and regression elements, and a mid-watershed watershed map created by dividing each standard watershed into sub-watersheds.
6 is an exemplary schematic diagram of a water cycle model.
Figure 7 is a graph of the corrected estimated flow rate and the actual observed flow rate.

The present invention divides the basin based on the nodes of the target river to be analyzed for water supply and demand and subdivides it into sub-basins with an area smaller than the standard basin, thereby establishing a framework for analyzing the water balance of the river section on a sub-basin basis and then following the river. Create a water cycle model that links existing supply elements, water intake elements, and return elements to the river according to their location.

In addition, the present invention obtains the natural flow rate of the sub-basin unit, and then sequentially descends from upstream to downstream to estimate the flow rate at each node by analyzing the water balance by each element.

Here, the water balance by supply factor, water intake factor, and regression factor is analyzed based on the daily performance of each factor. In the case of water intake elements that cannot be obtained by updating performance on a daily basis, the water balance can be analyzed by simulating daily water intake volume by utilizing time-series data generated by reflecting the analysis results of past performance and weather conditions. let it be In addition, the daily water intake amount can be supplemented and modified by transferring agricultural water intake data, whose performance is updated on a daily basis, to other rice fields.

The present invention corrects the estimated flow rate by verifying the flow rate estimated by water balance analysis with the observed flow rate of the observatory, and transfers the correction result to the river section upstream of the observatory to correct the estimated flow rate of each section, thereby adjusting the flow rate at the non-measured point. Data can also be presented accurately.

Accordingly, the present invention can be used for various purposes in various fields, such as monitoring the flow rate at an arbitrary point in a river, analyzing and forecasting the water supply and demand status at an arbitrary point, and segmenting and determining drought occurrence areas.

For this purpose, specific embodiments of the present invention will be described with reference to the attached drawings, showing specific and various examples so that those skilled in the art can easily implement the present invention.

It is clear that the embodiments of the present invention can be implemented through various changes or modifications within the scope of the present invention, and therefore are not limited to the described embodiments. In addition, since the embodiments of the present invention can be implemented by those skilled in the art by adding well-known parts, circuits, functions, methods, and typical details, they will not be described in detail.

Embodiments of the present invention may be implemented as a combination of software and hardware, and the software and hardware may be described as parts, modules, parts, etc., and may be in the form of computer-readable program code implemented on a recording medium. It can be implemented as:

‘Including’ a certain component does not mean excluding other components, but rather including other components, unless specifically stated to the contrary.

Figure 1 is a block diagram of a water supply and demand analysis device 10 for implementing a water supply and demand analysis method based on performance data through basin detail according to an embodiment of the present invention.

The water supply and demand analysis device 10 includes an input unit 11 that inputs DB data required to calculate the water balance at each point of the river, generates a water cycle model using the input DB data, and is generated in the process of water balance calculation and water supply and demand analysis. It includes a database unit 12 that stores various data, a data processing unit 13 that reads data from the database unit 12 and analyzes water supply and demand, and an output unit 14 that outputs the water supply and demand analysis results.

The DB data constructed through the input unit 11 includes meteorological data, natural discharge data, supply data, water intake data, regression data, and observation data (verification data) as summarized in Table 1 below, and each The data also includes spatial data to create a water cycle model by spatially linking it to the river network.

division Detailed data space data data
to give renewal
to give Source of data meteorological data Precipitation, maximum temperature, average temperature, minimum temperature, dew point temperature, wind speed, sunshine hours, etc. observation point Day
unit everyday Meteorological Administration, Flood Control Center, K-water Natural runoff data Rainfall-runoff model data
(TANK model) Standard watershed map
Geospatial information supply material Dam and weir discharge performance Location of facilities (dams, weirs) Day
unit everyday K-water Agricultural water supply performance
(Reservoir water yield performance) Reservoir spatial data
Agricultural water demand area
Effective water storage volume Day
unit everyday
or
calculation Korea Rural Community Corporation water intake data Water intake performance
(Results of residential/industrial water intake) water intake point Day
unit every year Basic research data River water use permit performance water intake point Day
unit every year flood control station Pumping station water intake performance water intake point
Agricultural water demand area Day
unit everyday
or
If you tie it Korea Rural Community Corporation regression data Sewage treatment discharge performance sewage treatment drainage point Day
unit every year Basic research data Rice field drainage model data Agricultural water demand area observation data
(Verification data) Station water level/flow observation point Day
unit everyday Flood Control Center, K-water Dam/weir inflow/discharge observation point Day
unit everyday K-water Reservoir storage volume (water retention rate) observation point Day
unit everyday Korea Rural Community Corporation

The above DB data will be explained using the case of Korea as an example.

The above meteorological data are the weather status data of the basin to be analyzed for water supply and demand, and are the items necessary to calculate the natural flow rate and return flow rate using the rainfall-runoff model and rice field drainage model described below, including precipitation, maximum temperature, average temperature, and minimum temperature. , dew point temperature, wind speed, sunlight hours, etc. Such meteorological data can be collected on a daily basis only from the Korea Meteorological Administration, Flood Control Center, Korea Water Resources Corporation, etc., only observation data belonging to the basin to be analyzed.

The above natural runoff data is data related to a rainfall-runoff model for estimating the natural flow that occurs in the basin in a natural state without any artificial water use or control, and is a rainfall-runoff model for the basin that is the subject of water supply and demand analysis. It may be a rainfall-runoff model that has been previously learned and used for the data to be learned or the watershed to be analyzed. The rainfall-runoff model is a model for estimating the natural flow rate where rainfall in the target basin flows out of the target basin and flows into water supply sources such as dams, reservoirs, and rivers. It is a TANK model suitable for generating natural flow rate on a daily basis. You can. In general, the rainfall-runoff model is trained using past meteorological observation data and past flow observation data at the exit point of the mid-zone at the mid-zone level to optimize the model's parameters, then estimate the natural flow rate in the mid-zone. Based on the standard watershed map that subdivides the station, the parameters of the standard watershed are transferred to estimate the natural flow rate for each standard watershed. Accordingly, the rainfall-runoff model used below is either created using past observation data or is an existing model, and since it is a known technology, further detailed explanation will be omitted.

The above supply data is data on the amount of water released from water sources such as dams, weirs, reservoirs, etc. to supply the rivers in the basin to be analyzed. Discharge from dams and weirs managed by the Korea Water Resources Corporation is measured on a daily basis and created into a database when discharging water, so this can be obtained as discharge performance data and is necessary as spatial data including the location of dams and weirs' facilities.

The discharge flow rate from reservoirs for agricultural water supply can be divided into the flow rate discharged into rivers and the flow rate discharged into agricultural water demand areas through irrigation canals depending on the amount of rainfall.

As for the discharge flow rate for water, the Korea Rural Community Corporation measures the water storage rate on a daily basis and creates a database, so this is obtained as supply performance (water storage rate performance) data, and the discharge volume is estimated based on not only the location of the reservoir, but also the agricultural water demand area to which water is supplied and the change in water storage rate. Effective water storage capacity is required for this purpose. Since the storage amount can be obtained by multiplying the effective storage amount by the storage rate, the discharge amount from the reservoir can be estimated based on the change in storage amount due to changes in the storage rate. According to an embodiment of the present invention, one year's worth of daily data is obtained and made into a database according to the statistical data of the reservoir discharge amount, and this data is used to calculate the amount of irrigation as described later.

On the other hand, if the stream in the analysis target basin is connected to the upstream stream, flow data flowing in from the upstream stream is required as supply data, but the outlet flow rate of the upstream basin obtained by applying the present invention to the upstream basin is used as the inflow flow rate. You can use it.

The water intake data is river water intake performance data and may include water intake performance data from water supply intake stations, river water use permit data from river water use facilities, and water intake performance data from pumping stations. The water intake performance data of the water intake station is the water intake performance for the supply of domestic water or industrial water, and can be understood as the water intake performance of the water intake station, or the water supply performance obtained from monthly water supply charging data and the operation performance of the water intake plant, water purification plant, and drainage basin. Water intake performance can also be determined by reflecting the amount of loss obtained. This water intake performance can be converted into daily data into a database by conducting a basic survey every year. River water use permit performance data can be obtained annually from the flood control office that manages the water intake permit for river water use facilities and converted into a database as daily data.

A pumping station is a facility that directly collects water from the river. Water intake performance data is obtained based on annual operation performance to generate daily data. In the case of a pumping station that manages daily operation performance, daily data can be obtained directly. In this case, spatial data on the benefit area of the pumping station are included. Meanwhile, for agricultural water beneficiary areas where pumping stations are not installed, performance data can be conducted in advance and converted into daily data into a database. In this case, spatial data on the beneficiary areas are included. In cases where it is difficult to obtain performance data, only the spatial data of the beneficiary area is databased.

These water intake performance data include the location of the water intake point as spatial data.

The above regression data includes sewage treatment plant discharge performance data and paddy field drainage model data. The discharge performance data of the sewage treatment plant can be input and databased as daily data by conducting a basic survey on the monthly operation performance of the sewage treatment plant every year, and includes spatial data of the discharge point.

The rice field drainage model data is a model that simulates the flow of water through the agricultural water demand area, and includes data on the height of the water pipe, water transmission loss rate to the irrigation canal, irrigation canal drainage rate, infiltration amount, and evapotranspiration amount according to the mathematical model described below, and also includes data on the water flow through the agricultural water demand area. Spatial data on agricultural water demand areas are also included. Here, spatial data is linked to the reservoir and made into a database when water is supplied from the reservoir.

The above observation data (verification data) is data from which the flow rate of the river can be obtained, and may include observation data from a water level observation station or flow rate observation station, inflow and discharge amounts observed at dams or weirs, and water storage rate (storage volume) observed at reservoirs. In addition, it includes spatial data of observation points, and these observation data are collected daily from the Hongsu Control Center, Korea Water Resources Corporation, and Korea Rural Community Corporation, which manage the observations, and are converted into daily data into a database.

The water supply and demand analysis method based on performance data through basin detail according to an embodiment of the present invention is performed by the data processing unit 13 that analyzes water supply and demand based on the DB data described above.

The data processing unit 13 for this purpose includes a water cycle model creation unit 13a to perform the water cycle model creation step (S100), and a water balance analysis step ( Program the water balance analysis unit 13b to perform the verification/correction step (S300), the verification/correction unit 13c to perform the water supply and demand analysis step (S400), and the water balance analysis unit 13d to perform the water supply and demand analysis step (S400). Equipped with enemy components.

The water cycle model creation unit 13a sequentially performs the basin detailing step (S110) and the water intake/return linkage step (S120) of the water cycle model creation step (S100) to create a sub-basin unit obtained by dividing the standard watershed. Create a water cycle model that can analyze the water balance at each node (or each section) according to the section natural flow rate, section-specific water intake flow rate, and return flow rate.

Figures 3 to 5 are diagrams showing the water cycle model creation process when the mid-region basin is used as a water supply and demand analysis basin as an example. Specifically, Figure 3 is a standard watershed diagram that enlarges one of the existing mid-region watershed maps to show the standard watershed, which is the existing analysis unit, and Figure 4 shows the standard watershed divided into sub-watersheds according to the present invention. This is a detailed watershed map obtained, and Figure 5 is a detailed watershed map of a standard watershed linking water intake elements and regression elements, and a mid-watershed watershed map created by dividing each standard watershed into sub-watersheds.

As illustrated in FIG. 3, in the standard watershed map, the river 100 is joined by a tributary stream 102 along the main stream 101 from the watershed entrance to the watershed outlet. However, the natural flow rate is traditionally calculated in units of these standard watersheds, There was no choice but to analyze water supply and demand for the entire standard basin according to the natural flow obtained at the outlet of the basin. However, in the present invention, water supply and demand are analyzed in sub-basin units with boundaries set by further subdividing the standard basin, and for this purpose, the basin detailing step (S110) and the water intake/return linking step (S120) are performed to create a water cycle model. .

The basin detailing step (S110) uses digital elevation data (Digital Elevation Model, DEM) to analyze the flow direction and flow accumulation of the river 100, and the outflow direction and outflow point within the basin, as shown in Figure 4. A river network divided into sections by river nodes 103 is created (S111), and boundaries are drawn based on the river nodes 103 to divide the standard basin into a plurality of sub-basins 200 (S112).

Here, the river node 103 is determined as the source of the main stream 101 and the tributary stream 102, the confluence point of the tributary stream 102, and the rainfall outflow point (rainfall outflow collection point). In the example of Figure 4, the main stream source corresponds to the basin entrance point.

In addition, the locations of dams, weirs, and reservoirs of the river nodes 103 may be additionally determined according to the spatial data of the supply data among the DB data. Accordingly, supply elements consisting of dams, weirs, reservoirs, etc. are linked to the river network.

In this way, the division of the standard watershed based on the river node 103 can utilize the TauDEM (Terrain analysis using Digital Elevation Models) algorithm.

In addition, the basin detailing step 110 subdivides the numbering system of the standard basin and assigns a number 201 for identification to each sub-basin 200 as shown in FIG. 4, and as shown in FIG. 5 Each river node 103 is also assigned a number 104 for identification (S113). Here, the number 104 of the node 103 is associated with the number 201 of the subbasin 200, and can be sequentially determined based on the river order, river flow direction, and flow concentration. This numbering system is used to link DB data to the river network according to spatial data.

Meanwhile, the middle basin illustrated as the analysis target basin in Figure 3 is connected to the upstream middle basin, so the flow that flows into the river through the basin entrance from the upstream middle basin occurs, and this inflow flow is similar to that of the upstream middle basin. The outlet flow rate of the upstream middle region obtained by applying the invention can be used as the inlet flow rate of the inlet of the middle region.

The water intake/regression linkage step (S120) is based on the spatial data of the water intake elements (water intake point, river water use facility, pumping station) of the water intake data and the regression elements of the regression data (sewage treatment plant, agricultural water demand area) among the DB data. Connected to the river network. Meanwhile, for reservoirs that are connected to agricultural water demand areas and irrigation canals, the point where the irrigation canals are connected can be included in the water intake element.

As illustrated in Figure 5, connection nodes 105 and 106 are set on the river network to link water intake elements and regression elements to the river network. In other words, if the spatial data is a point in the river network, that point can be set as a connection node (105, 106), and if the spatial data is a facility location or demand area, the connection node (105, 106) can be set to the point on the river at the shortest distance. ) can be set. At this time, the connection nodes 105 and 106 are divided into a connection node 105 connected to a river network connecting water intake elements and a connection node 106 connected to a river network connecting return elements, and a number can be assigned for identification. .

Accordingly, as water intake elements that exist in the basin to be analyzed, the water intake points of water intake stations that take in water for domestic or industrial use, and the water intake points of river water use facilities and pumping stations that are permitted to use river water are specified on the river network and are located in a certain section of the river network. It is possible to obtain a water cycle model in which water intake is identified, and as regression elements, the drainage point of the water supply sewage treatment plant and the regression point (drainage point) of the agricultural water demand area are also specified on the river network to determine which section of the river network it returns to.

In addition, in the water intake/regression linking step (S120), a rice field drainage model of the agricultural water demand area linked to the river network is created by applying the rice field drainage model data of the regression data (S121).

The rice field drainage model is created as a mathematical model that calculates the return flow to the river using Equations 1 to 4 below.

It should be noted that in the equations 3 and 4 above, '(fresh water depth)', '(water tip height)', and '(previous day's fresh water depth)' are the amounts of water obtained by converting to the area of the agricultural water demand area. That is, in Equation 3, paddy field drainage occurs only when the depth of fresh water exceeds the height of the water outlet, and is calculated as the amount of water obtained by applying the demand area area to the height difference between the depth of fresh water and the height of the water outlet, and also the amount of water that overflows through the water outlet. Convert to flow rate. In Equations 2 to 4 above, the waterway drainage rate, water pipe height, water loss rate, waterway drainage rate, infiltration rate, and evapotranspiration rate apply the paddy drainage model data from the above DB data, and are either statistically obtained values according to existing research data or existing It may be a value obtained according to a well-known calculation formula, and since it is known data, detailed explanation will be omitted.

Meanwhile, the rice field drainage model described above may be created in advance for each agricultural water demand area and converted into a database.

The paddy field drainage model expressed in Equations 1 to 4 above calculates the paddy field drainage when the freshwater depth calculated using meteorological data including rainfall and agricultural water supply as input variables is greater than the height of the water stop, and calculates the irrigation water drainage when agricultural water is supplied. It is a mathematical model that obtains the regression water volume by adding the paddy field drainage volume and irrigation water drainage volume. Therefore, as described later, the return water volume can be calculated by applying the rainfall amount according to meteorological data and the agricultural water supply amount according to supply data or water intake data.

Figure 6 is a schematic diagram of a water cycle model created according to the process described with reference to Figures 4 and 5.

The water cycle model connects water intake elements including water intake stations, river water use facilities, pumping stations, etc. and regression elements including sewage treatment plants and agricultural water demand areas to the river network at nodes (105, 106) according to the spatial data of each element. This is a model that has been established and linked to the river network.

Here, the river network has a confluence point, a concentration point of rainfall outflow, a point of supply elements including dams, weirs, reservoirs, etc., a source of the main stream and tributaries, and a river node 103 at the confluence point, as described above. Likewise, the sub-watersheds obtained by dividing based on the river node 103 are matched for each section, so each section divided by the river node 103 is matched to each sub-watershed one by one. Of course, the main stream source can be replaced with the basin entrance depending on the scope of the basin to be analyzed, and the basin entrance can be used as a supply element that supplies water.

Agricultural water demand areas that supply water through irrigation canals from agricultural water supply reservoirs are directly connected to the relevant reservoir or connected to a river connected to the reservoir, and the water intake point of the agricultural water demand area without a pumping station is also determined as a water intake connection node. .

And, for each agricultural water demand area, a rice field drainage model is determined as described above.

After creating the water cycle model as described above, the water balance analysis unit 13b applies daily weather data, supply data, water intake data, and regression data to the water cycle model to perform the water balance analysis step (S200). Performed on a daily basis.

The water balance analysis step (S200) is a step of sequentially performing the natural runoff analysis step (S210), the water intake/regression analysis step (S220), and the water balance analysis step for each river section (S230).

The natural runoff analysis step (S210) is a step of calculating the natural flow rate of each sub-basin by applying meteorological data to the rainfall-runoff model of the DB data. In the embodiment of the present invention, the parameter in the rainfall-runoff model of the mid-basin area is A standard basin runoff analysis step (S211) in which the natural flow rate of the standard basin (i.e., the natural flow rate at the outlet of the standard basin) is calculated using the rainfall-runoff model for each standard basin obtained by transferring to each standard basin in the middle basin, and the standard basin runoff analysis step (S211) It includes a sub-basin outflow analysis step (S212) in which the natural flow rate for each sub-basin is calculated by distributing the natural flow rate to each sub-basin (i.e., the natural flow rate at the outlet node of the sub-basin).

At this time, the natural flow rate for each sub-basin can be calculated daily by applying weather conditions, and can also be calculated with 1 to 3 months worth of daily data depending on the weather forecast.

The TANK model, which is advantageous for calculating natural flow on a daily basis, is suitable for the rainfall-runoff model. If the rainfall-runoff model data of the DB data is past weather observation data and past flow observation data, a process of optimizing parameters by learning a rainfall-runoff model with the corresponding data may be included. The standard basin runoff analysis step (S211) may use a standard basin rainfall-runoff model created in advance using a mid-region rainfall-runoff model. Since weather conditions may be different for each standard basin within the mid-zone, the natural flow rate of the standard basin can be calculated by applying meteorological data according to the standard basin. These mid-basin rainfall-runoff models, rainfall-runoff model learning processes, standard basin natural flow calculation processes, and standard basin rainfall-runoff models are supported by known technology, so detailed explanations are omitted.

The natural flow rate for each sub-basin is obtained by multiplying the ratio of the sub-basin area to the standard basin area (area ratio) by the standard basin natural flow rate, which is possible because each sub-basin within the standard basin has similar outflow characteristics.

The water intake/regression analysis step (S220) sequentially performs a water intake analysis step (S221) in which the water intake flow rate for each water intake element is analyzed on a daily basis, and a regression quantity analysis step (S222) in which the regression flow rate for each regression element is analyzed on a daily basis. do.

In the water intake analysis step (S221), the water intake performance and river water use permit performance in the DB data are one year's water intake flow rate data in daily units, so the water intake flow rate on the analysis date is applied as is. The water intake flow rate for irrigation of agricultural water demand areas is analyzed in more detail as follows.

First, among the agricultural water demand areas, the water storage rate is measured daily, the reservoir irrigated through the irrigation canal, and the agricultural water demand area that receives water from the irrigation pumping station, where the pumping water volume is measured daily, are set as the standard agricultural water demand area, and the standard agricultural water demand area is defined as the standard agricultural water demand area. The discharge flow rate (discharge flow rate from the reservoir) and intake flow rate (water intake flow rate from the pumping station) are calculated based on performance data, and the irrigation amount is calculated according to the calculated discharge flow rate and intake flow rate.

In the case of a reservoir, if water is discharged for irrigation in a situation where there is no rain, the water storage rate decreases, so if the performance data shows that the water storage rate is decreasing, calculate the agricultural water supply (discharge flow rate) according to the decrease in water storage rate and use Equation 4 above. Thus, the irrigation amount is obtained. In the case of a pumping station, the daily pumping amount in the performance data is taken as the value of the irrigation amount. Of course, the irrigation water drainage rate is selectively applied depending on the presence or absence of a irrigation ditch.

The irrigation amount obtained at this time is divided by the area of the standard agricultural water demand area, and the value obtained is set as the standard irrigation amount for the day.

Excluding the standard agricultural water demand area, the irrigation amount for the remaining agricultural water demand areas is obtained by multiplying the standard irrigation amount by the area of the demand area.

If there are multiple standard agricultural water demand areas, the irrigation amount is estimated using the standard irrigation amount of the one closest in distance. If there is one year's worth of past performance, the irrigation amount is estimated using the standard irrigation amount of the standard agricultural water demand area, which is irrigated through the element with the highest water intake performance in time with the performance of the element supplying the demand area for which the irrigation amount is to be estimated. do. In other words, by comparing daily performance, the standard irrigation amount of the standard agricultural water demand area with the greatest similarity in water intake time (or discharge time) is used. For example, from past performance data, it can be determined through correlation analysis that the difference in daily water intake dates is relatively small and the difference in water intake flow rate compared to area is small.

Then, by substituting the irrigation amount into Equation 4 above, the agricultural water supply amount is determined as the water intake amount. In this case as well, whether or not to apply the waterway drainage rate is determined depending on the presence or absence of a waterway identified in the spatial data of the demand area.

In this way, the water intake flow rate for each water intake element and the discharged or withdrawn flow rate for agricultural water demand areas are estimated on a daily basis.

In the regression quantity analysis step (S222), the flow returning to the river by regression elements (sewage treatment plant, agricultural water demand area) is analyzed on a daily basis.

The return flow rate by the sewage treatment plant is determined by applying the daily discharge performance among the daily sewage treatment discharge performance in the above DB data.

The return flow rate by the agricultural water demand area is calculated according to the rice field drainage model in Equations 1 to 4 above. At this time, in Equations 2 and 4, the agricultural water supply amount is substituted for the water intake flow rate or discharge flow rate calculated for the agricultural water demand area in the water intake analysis step (S221), and the rainfall amount in Equation 4 is determined according to meteorological data. . Then, after calculating the freshwater depth of the day, whether or not the paddy field is drained is determined based on the height difference from the water stop height, and if it is determined that the paddy field is drained, the amount of paddy field drained is calculated. In addition, when agricultural water is supplied, the water discharge volume is also calculated. As can be seen in Equation 1, the return flow rate is the sum of the paddy field drainage and the waterway drainage.

Accordingly, the daily regression flow rate for each regression element can be obtained.

The water balance analysis step for each river section (S230) follows the river from upstream to downstream along the flow direction of the river, sequentially accumulating the natural flow rate for each subbasin, and performing an integration process of adding and subtracting the flow rate of the supply element and return element. However, when a supply element is encountered, the accumulated amount is initialized to the discharge flow rate of the supply element. In the integration process, the intake flow rate of the water intake element is subtracted and the return flow rate of the return element is added. In other words, whenever each node (103, 105, 106) is passed while going down the river, the natural flow rate of the subbasin matched to the section upstream of the node (103, 105, 106) is accumulated, and the water intake of the water intake element linked to the section is accumulated. The flow rate is subtracted, the return flow rate of the regression element linked to the section is added, and when passing through a node linked to a supply element, the accumulated amount is initialized to the discharge flow rate of the supply element, and then the river flows from that node (the node linked to the supply element). Continue the integration process by going down. In other words, from the supply element onwards, the integration process of adding the natural flow rate of the sub-basin downstream of the supply element to the discharge flow rate of the supply element, subtracting the intake flow rate, and adding the return flow rate is performed along the river.

The flow rate of the river node set at the confluence point is determined by adding the accumulated volume obtained by performing the integration process along the main stream to the accumulated volume obtained by performing the integration process along the tributary.

Also, while performing the integration process along the river, the integrated quantity obtained at each node is recorded as the nodal flow rate, so that the flow rate at each node can be obtained according to the results of the integration process for the entire river section. In other words, the flow rate at each node is determined by the integrated amount obtained by performing the integration process up to the river nodes.

는 아래의 수학식 5로 표현할 수 있다.Accordingly, the estimated flow rate at each node

Can be expressed as Equation 5 below.

는 유량 추정 절점의 상류측 공급 요소별 방류 유량을 합산한 것으로서 공급 요소가 없을 시에는 '0'으로 처리된다. 그리고,

은 소유역별 자연유출량을 합산한 것이고,

는 취수 요소별 취수 유량을 합산한 것이고,

는 회귀 요소별 회귀 유량을 합산한 것이되, 여기서의 소유역, 취수 요소 및 회귀 요소는 유량 추정 절점과 유량 추정 절점의 상류측 공급 요소의 절점 사이의 것만으로 한정하며, 상류측 공급 요소가 없을 시에는 유량 추정 절점의 상류측 전체로 한다. 물론, 분석 대상 유역이 상류 하천 유역에 이어진 것인 경우에,

는 유역 입구로 유입되는 상류 하천의 유량을 포함된다.here,

is the sum of the discharge flow rates for each supply element upstream of the flow rate estimation node, and is treated as '0' if there is no supply element. and,

is the sum of natural runoff by subbasin,

is the sum of the water intake flow rates for each water intake element,

is the sum of the regression flow rates for each regression element. Here, the sub-basin, water intake elements, and regression elements are limited to those between the flow rate estimation node and the node of the upstream supply element of the flow estimation node, and when there is no upstream supply element, It is assumed to be the entire upstream side of the flow rate estimation node. Of course, if the basin to be analyzed is connected to an upstream river basin,

includes the flow rate of the upstream river flowing into the basin entrance.

Additionally, when analyzing the water supply and demand situation, the connection node 105 to which water intake elements are linked may be a major point of interest. Accordingly, the integrated amount at the water intake element connection node 105 is also recorded and obtained, but excluding the water intake flow rate of the water intake element at the water intake element connection node 105, a flow rate in which the water intake flow rate is not subtracted is obtained. In other words, the flow rate of the water intake element linked node 105 is determined by the integrated amount obtained by performing the integration process up to just before the linked node 105.

Of course, the integration process up to the regression element connection node 106 can be performed for the connection node 106 to which the regression element is connected, so that the downstream flow rate according to the regression flow rate can be identified. The flow rate at this time can be the flow rate with the return flow rate added.

The reason why the accumulated amount to each node is set as flow rate in the integration process is because the natural flow of each sub-basin is viewed as the flow rate concentrated at the outflow point of the sub-basin, that is, the downstream node of the river section to which the sub-basin belongs. This is because flow rate changes due to water intake elements and regression elements appear at the downstream nodes of the section. Accordingly, the flow rate of each river section can be regarded as the nodal flow rate on the upstream side of the section. If there is a point of interest for estimating flow in the river section of the sub-basin where the river source belongs, the sub-basin can be divided into areas based on the point of interest, estimate the natural flow concentrated at the point of interest, and perform an integration process up to the point of interest.

The verification/correction step (S300) performed by the verification/correction unit 13c verifies the estimated flow rate with the observed flow rate of the observation data, and when the difference between the estimated flow rate and the observed flow rate is large, the estimated flow rate is the observed flow rate. Correct the estimated flow rate to match .

After selecting the estimated flow rate of the node that matches or is closest to the observation point where the observed flow rate is obtained, the estimated flow rate is compared with the observed flow rate, and if the error is greater than the preset error, the estimated flow rate is corrected to reduce the error. Of course, by setting the flow rate observation point as a node, the comparison points can be matched.

In an embodiment of the present invention, the actual observed flow rate is assumed to be a power function with the estimated natural flow rate as a variable, and the estimated flow rate is corrected using Equation 6 below, which is a modification of Equation 5 above.

및

는 장기간의 관측 유량 자료와 추정 유량 자료를 이용하여 최적화할 수 있다. 예를 들어, 관측 유량, 기상 자료 및 요소별 실적자료의 장기간 과거 자료를 준비한 후, 과거 기상 자료 및 요소별 실적자료에 따라 상기 물수지 분석단계(S200)를 수행하여서, 유량 관측 지점에서의 유량 추정을 위해 적산되는 소유역의 자연유량, 공급 요소의 방류 유량, 취수 요소의 취수 유량 및 회귀 요소별 회귀 유량을 일단위 자료로 생성한다. 그리고, 생성한 일단위 자료를 수학식 6의 우변에 대입할 시에 관측 유량을 얻을 수 있는 최적의 계수

및

를 얻는다. 다른 예로서, 일반적으로 취수 유량과 회귀 유량을 합산한 값은 자연유량에 비해 상대적으로 적고, 장기간의 과거 자료를 얻는 것도 어려울 수 있으므로, 이를 무시하고 계수

및

를 최적화할 수도 있다.Here, the coefficient

and

can be optimized using long-term observed flow data and estimated flow data. For example, after preparing long-term past data of observed flow rate, meteorological data, and performance data for each element, the water balance analysis step (S200) is performed according to the past meteorological data and performance data for each element, and the flow rate at the flow observation point is performed. For estimation, the natural flow rate of the subbasin, the discharge flow rate of the supply element, the intake flow rate of the intake element, and the regression flow rate of each regression element are generated as daily data. And, when substituting the generated daily data into the right side of Equation 6, the optimal coefficient to obtain the observed flow rate is

and

get As another example, the sum of the intake flow rate and the return flow rate is generally relatively small compared to the natural flow rate, and it may be difficult to obtain long-term past data, so this is ignored and the coefficient is calculated.

and

can also be optimized.

및

를 최적화한 후, 보정한 추정 유량과 관측 유량을 비교하기 위해 그래프로 도시한 도면이다. Figure 7 shows the flow rate observed at 'quartzite' in the middle region shown in Figure 5 and the estimated flow rate at 'quartzite' point, obtained by daily and one-year values.

and

This is a graph shown to compare the corrected estimated flow rate and observed flow rate after optimizing.

Referring to FIG. 7, the error is small on the graph, especially in the low flow portion, which is a major subject of interest in drought monitoring, so it can be confirmed that the assumption of a power function as in Equation 6 above is valid.

및

의 계수값을 적용한 상기 수학식 6의 수학적 모델을 상류측 절점에도 적용하여서, 각 절점까지의 소유역 자연유량, 취수 유량 및 회귀 유량을 대입하여 보정한 유량을 얻는다.In addition, the correction method for the estimated flow rate obtained at the flow rate observation point is made up of the mathematical model of Equation 6 above, and the estimated flow rate at the river node and connected node upstream of the flow rate observation point is also applied in the same way. That is, the coefficient obtained from the flow observation point

and

The mathematical model of Equation 6, which applies the coefficient value of , is also applied to the upstream nodes, and the corrected flow rate is obtained by substituting the subbasin natural flow rate, water intake flow rate, and return flow rate to each node.

The water supply and demand analysis step (S400) performed by the water supply and demand analysis unit (13d) is performed according to the flow rate of each river node (103) and linked nodes (105, 106) corrected in the verification/correction step (S300). Perform water collection status analysis to determine the appropriateness of flow rate.

For example, the water supply and demand status on the downstream side connected to each river node 103 is judged by the flow rate of the river node 103, and the water supply and demand status to the water intake element is determined according to the flow rate of the water intake element linked node 105. And, the downstream water collection situation is determined according to the flow rate of the regression element linkage node 106.

를 관측 유량을 이용한 아래의 수학식 7로 추정한다.In addition, the water supply and demand analysis step (S400) is the natural flow rate at the flow observation point.

is estimated using Equation 7 below using the observed flow rate.

는 유량 관측 지점의 관측 유량이고,

는 취수 요소 취수 유량를 합산한 것이고,

는 회귀 요소별 회귀 유량을 합산한 것이고,

는 공급 요소에 대해 유입 유량에서 방류 유량을 차감하여 얻는 유출 저수량이다. In equation 7,

is the observed flow rate at the flow observation point,

is the sum of water intake element intake flow rates,

is the sum of the regression flow rates for each regression element,

is the outflow storage amount obtained by subtracting the discharge flow rate from the inlet flow rate for the supply element.

는 관측 유량

와, 하천에서의 순 소모 유량

과, 댐, 보, 저수지 등의 공급 요소에서의 저수량의 증가분에 해당되는 유출 저수량

을 합산하여 얻는다. That is, natural flow

is the observed flow rate

Wow, net wasted flow in the river.

Outflow storage volume corresponding to the increase in water storage volume from supply elements such as dams, dams, weirs, reservoirs, etc.

It is obtained by adding up.

However, in Equation 7 above, the sub-watershed, intake element, regression element, and supply element include the entire sub-watershed and elements (water intake element, regression element, and supply element) upstream from the flow rate observation point in the analysis target basin. Of course, if there is an inflow rate from a watershed adjacent to the analysis target watershed, a term for subtracting the inflow rate is added to the right side of Equation 7.

는 유입량에서 방류량을 차감하여 얻는다. 저수율을 일단위로 측정하는 저수지의 경우에는 저수율에 따라 저수량을 얻게 되므로, 저수율이 증가할 시의 저수량 증가분으로 추정한다. Here, in the case of dams and weirs among the supply elements, there is generally performance data measuring the inflow and discharge on a daily basis, so the outflow storage amount

is obtained by subtracting the discharge from the inflow. In the case of reservoirs that measure the water storage rate on a daily basis, the water storage volume is obtained according to the water storage rate, so it is estimated as the increase in water storage volume when the water storage rate increases.

In this way, the natural flow rate estimated by reflecting the intake flow rate and return flow rate from the river, and the storage volume that does not flow to the flow observation point in the observed flow rate can be viewed as a more accurate value compared to the pre-trained rainfall-runoff model, so it can be considered as a more accurate value than the pre-trained rainfall-runoff model. The water supply and demand status of each river section can be more accurately determined.

Additionally, the water supply and demand analysis step (S400) may learn a rainfall-runoff model using the natural flow rate calculated based on Equation 7 above. In other words, the rainfall-runoff model is learned so that the natural flow rate obtained from the rainfall-runoff model has the value calculated based on Equation 7 above. In addition, the learned rainfall-runoff model is stored in the database to update the natural runoff data in the DB data, so that it can be used in the natural runoff analysis step (S210) when analyzing the water balance on a daily basis.

In addition, the natural flow rate calculated based on Equation 7 above can be used to correct the natural flow rate for each sub-basin of the day and reflected in the water balance analysis and water supply and demand analysis of the day, thereby modifying the analysis results.

In addition, in the water collection analysis step (S400), the results obtained in the water balance analysis step (S200) and the water supply and demand analysis step (S400) can be output through the output unit 14 and utilized for various purposes.

Meanwhile, the water supply and demand analysis method based on performance data through watershed detailing described above can be implemented as a computer-readable program on a computer-readable recording medium. Computer-readable recording media include all types of recording devices that can store data that can be read by a computer, such as ROM, RAM, CD-ROM, optical data magnetic storage devices, etc., and network It may also include a storage system that can be read by a connected computer. This program is stored in a computer-readable recording medium in order to implement a water supply and demand analysis method based on performance data on a computer. It is stored in the memory (not shown) of the water collection and analysis device 10 and is read by the data processing unit 13. By executing the water cycle model creation step (S100), the water cycle model creation unit (13a), the water balance analysis unit (13b) to perform the water balance analysis step (S200), and the verification/correction step (S300). The verification/correction unit 13c to perform and the water collection analysis unit 13d to perform the water supply and demand analysis step (S400) may be implemented in software.

In the above, specific embodiments have been shown and described to illustrate the technical idea of the present invention, but the present invention is not limited to the same configuration and operation as the specific embodiments as described above, and various modifications may be made without departing from the scope of the present invention. It can be carried out in Accordingly, such modifications should be considered to fall within the scope of the present invention, and the scope of the present invention should be determined by the claims described below.

10: Water supply and demand analysis device
11: input unit
12: Database section
13: data processing unit
13a: Water cycle model creation unit 13b: Water balance analysis unit
13c: Verification/correction unit 13d: Water supply and demand analysis unit
14: output unit
100: river
101: main stream 102: tributary stream
103: River node 104: Number
105: Node connected to intake element 106: Node connected to regression element
200: subbasin

Claims (11)

Meteorological data, rainfall-runoff model of the basin to be analyzed, discharge flow performance data of supply elements including dams, weirs, and reservoirs, water intake flow performance data of water intake elements including water supply intake stations, river water use facilities, and pumping stations, Among the regression elements including the sewage treatment plant and the agricultural water demand area, a database unit (20) that receives and stores the regression flow performance data of the sewage treatment plant, the paddy drainage model of the agricultural water demand area, and the observed flow rate obtained from the flow observation point on the river. In the performance data-based water supply and demand analysis method through basin detailing that analyzes the data with the data processing unit 30 to determine the water supply and demand status,
The confluence point of the river 100, the concentration point of rainfall outflow, the point of the supply element, the source of the main stream or the inflow point of the main stream, and the source of the tributaries of the river are set as the river node 103, and the river node 103 is set as the reference point. After creating a river network in which the sub-watersheds (200) obtained by dividing the analysis target basin are matched for each section, a water cycle model is created by linking the intake elements and regression elements to the river network by setting nodes (105, 106) to link them to the river network. Water cycle model creation step (S100);
The natural flow rate for each subbasin is calculated using the rainfall-runoff model, and the discharge flow rate of the supply factor to be added, the intake flow rate of the intake factor to be added, and the regression flow rate of the regression factor to be subtracted are determined based on performance data. Among the regression factors, agricultural use The return flow rate of the water demand area is calculated using the rice field drainage model, and the natural flow rate for each sub-basin is sequentially integrated following the flow direction of the river. The water intake flow rate of the intake element is subtracted, and the return flow rate of the regression element is subtracted to reach each river node ( A water balance analysis step (S200) of obtaining the accumulated amount up to 103), initializing the accumulated amount with the discharge flow rate of the supply element when a supply element is encountered, and estimating the accumulated amount up to each river node 103 as the flow rate;
After correcting the estimated flow rate at the flow rate observation point to match the observed flow rate, a verification/correction step (S300) of correcting the estimated flow rate at each river node 103 existing upstream of the flow rate observation point using the same correction method;
A water supply and demand analysis step (S400) in which the water supply and demand status is analyzed according to the corrected flow rate of each river node (103);
containing
Water supply and demand analysis method based on performance data through basin detailing. According to clause 1,
The verification/correction step (S300) is

The estimated flow rate of the river node 103 is corrected, where:

is the sum of the discharge flow rates for each supply element upstream of the flow rate estimation node,

is the sum of natural runoff by subbasin,

is the sum of water intake flow rates for each water intake element,

is the sum of the regression flow rates for each regression element, but the subbasin, water intake elements, and regression elements are limited to only those between the flow rate estimation node and the node of the supply element upstream of the flow estimation node.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 1,
The discharge flow performance data of the supply elements and the observed flow rate obtained from the flow observation point are data actually measured on a daily basis,
The water intake flow performance data of the water intake element is daily data obtained based on the past year's performance data.
The water balance analysis step (S200), verification/correction step (S300), and water supply and demand analysis step (S400) are performed to determine the water supply and demand status on a daily basis.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 1,
The rice field drainage model is

It consists of a mathematical model, where the agricultural water supply is obtained from the discharge discharge flow performance data of the reservoir or the water intake flow performance data of the pumping station.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 1,
The water balance analysis step (S200) is
By excluding the water intake flow rate of the water intake element from the accumulated amount up to the link node (105) where the water intake element is linked, the flow rate of the link node (105) before water intake is obtained.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 1,
The water supply and demand analysis step (S400) is
The natural flow rate Q at the flow observation point is

It is calculated as, where

is the observed flow rate at the flow observation point,

is the water intake flow rate of the water intake element,

is the regression flow rate of the regression element,

is the outflow storage volume obtained by subtracting the discharge flow rate from the inflow flow rate for the supply element, but the sub-basin, intake element, return element, and supply element are limited to only the sub-basin and element upstream of the flow observation point.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 6,
The water supply and demand analysis step (S400) is
The rainfall-runoff model is updated using the natural flow rate Q calculated for the flow observation point.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 1,
In determining the water intake flow rate for the agricultural water demand area in the water supply and demand analysis step (S400),
Among the agricultural water demand areas, the agricultural water demand area irrigated by a reservoir or pumping station with daily updated performance data is set as the standard agricultural water demand area, the irrigation amount is obtained according to the performance data, and the irrigation amount is divided by the area of the standard agricultural demand area. The value is set as the standard irrigation amount,
The water intake flow rate to supply agricultural water demand areas excluding the standard agricultural water demand area is estimated based on the irrigation amount obtained by multiplying the standard irrigation amount by the area of the agricultural water demand area.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 8,
The water supply and demand analysis step (S400) is
In the case where there are multiple standard agricultural water demand areas, the standard agricultural water demand area for calculating the water intake flow rate of agricultural water demand areas excluding the standard agricultural water demand area is selected as the closest in distance.
Water supply and demand analysis method based on performance data through basin detailing. According to clause 8,
The water supply and demand analysis step (S400) is
In the case where there are multiple standard agricultural water demand areas, the standard agricultural water demand area for calculating the water intake flow rate of agricultural water demand areas excluding the standard agricultural water demand area is selected as the one with the highest correlation in water intake or discharge time.
Water supply and demand analysis method based on performance data through basin detailing. A computer program stored in a computer-readable recording medium for implementing the method according to any one of claims 1 to 10.