Reservoir group node type bundling method for interaction reservoir capacity analysis

Abstract

The invention provides a reservoir group node type bundling method for interaction reservoir capacity analysis, which comprises the following steps of: arranging hydrological data of all reservoirs in a drainage basin, and identifying node reservoirs; the reservoir group is bundled in a node mode; establishing a reservoir scheduling model based on reservoir group node type bundling, and for different flood processes, obtaining a reservoir capacity replacement coefficient between reservoirs by adjusting the impounding capacity, and adjusting the impounding capacity process; discussing and analyzing the reservoir capacity interoperability of the basin reservoir group; according to the method, main and branch reservoirs are bundled in a node selection mode, and the reservoir capacity mutual use coefficient between bundled reservoir groups is analyzed according to different flood processes. The method gives consideration to the calculation precision and efficiency, and provides a new thought for the flood control capacity distribution problem of the reservoir group.

Description

Technical Field

[0001] The present invention relates to the field of hydrology, and in particular to a reservoir group node bundling method for mutual storage capacity analysis. Background Art

[0002] In recent years, with the continuous development of major river basins in my country, the reservoir groups of the main and tributary rivers in the basins have begun to take shape. The huge flood control storage capacity of the cascade reservoir group has further improved the flood control capacity of the basin, but it also puts forward higher requirements on how to effectively utilize the flood control storage capacity and realize the reasonable allocation of flood control storage capacity between the upstream and downstream of the cascade reservoirs. However, when responding to floods, reservoirs tend to reserve more flood control storage capacity to ensure the safety of the reservoirs themselves. There is a lack of overall consideration of the reasonable allocation of flood control storage capacity between cascades, and it is difficult to give full play to the overall flood control benefits of the cascade. Therefore, how to reasonably allocate limited flood control storage capacity and realize scientific management of flood control storage capacity under the premise of ensuring the flood control safety of flood control objects and not reducing the overall flood control effect of the basin is the core issue that needs to be solved in the current allocation of cascade flood control storage capacity in the basin.

[0003] At present, many scholars at home and abroad have carried out a lot of research on the allocation of flood control storage capacity of reservoir groups. The main research methods can be divided into two categories: one is the conventional allocation of flood control storage capacity. According to the regional flood control requirements, combined with the size of the reservoir flood control storage capacity and the upstream and downstream relationship, the timing and sequence of the reservoir group to intercept and store floods are studied, and then a specific flood control storage capacity allocation plan is obtained. The second is the optimal allocation of flood control storage capacity. By determining the flood control objective function, a model is constructed according to the individual characteristics of the reservoir and the boundary conditions of the flood control object, and the storage capacity allocation plan is obtained by solving it. However, current research has not taken into account the individual characteristic factors and hydraulic connections of each cascade reservoir. In the process of flood control storage capacity allocation, there is a lack of scientific and reasonable methods to distinguish the importance of each reservoir in the cascade. Summary of the invention

[0004] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art and to provide a reservoir group node bundling method for mutual storage capacity analysis, which can analyze the storage capacity mutuality coefficient between bundled reservoir groups according to different flood processes.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] The present invention provides a reservoir group node bundling method for mutual storage capacity analysis, comprising the following steps:

[0007] S1. Organize the hydrological data of all reservoirs in the basin and identify node reservoirs;

[0008] S2, node-based bundling of reservoir groups;

[0009] S3. Establish a reservoir dispatching model based on node-based bundling of reservoir groups. According to different flood processes, the storage capacity replacement coefficient between reservoirs is obtained by adjusting the storage capacity, and the storage capacity process is adjusted;

[0010] S4. Discuss and analyze the interoperability of the storage capacity of the reservoir groups in the basin.

[0011] Further, the S1 is specifically:

[0012] S11. Data collation: collate the hydrological parameters of all reservoirs in the basin, the location relationship between reservoirs in the basin, the upstream and downstream relationship, and historical flood data of the basin;

[0013] S12. Identify node reservoirs: assign numbers to each reservoir in the basin, with the main stream reservoir denoted by x. n ; The tributary reservoir is denoted as y m , the storage capacity coefficient of the mainstream reservoir in the basin is recorded as β x , the storage capacity coefficient of the tributary reservoir is denoted as β y , according to the storage capacity coefficient β of the mainstream reservoir x and the storage capacity coefficient of the tributary reservoir β y , select A mainstream reservoirs from the mainstream reservoirs with a storage capacity coefficient β x Reservoirs greater than the 90th percentile are regarded as mainstream node reservoirs, denoted by X a , select the storage capacity coefficient β of B tributary reservoirs among the tributary reservoirs y Reservoirs greater than the 90th percentile are regarded as tributary node reservoirs, denoted by Y b ; where n = 1, 2, ..., N, x n For x n-1 The upstream mainstream reservoir, x1,...,x N represents the distribution of reservoirs along the mainstream of the river, N is the total number of reservoirs in the mainstream; m = 1, 2, ..., M, y m for y m-1 The upstream tributary reservoir, y1,...,y M represents the distribution of reservoirs along the river tributaries, M is the total number of tributary reservoirs; a=1,2,...,A,X1,...,X A Represents the distribution of mainstream node reservoirs along the river mainstream; b = 1, 2, ..., B, Y1, ..., Y B Represents the distribution of tributary node reservoirs along the river tributaries.

[0014] Furthermore, in S2, the node-based bundling of reservoir groups is specifically as follows: a and tributary node reservoir X b Bundle the nodes into reservoir groups, specifically:

[0015] S201, Bundling of reservoir groups in series:

[0016] Bundling of main stream reservoirs:

[0017] When a=1, the main stream node reservoir X1 and all upstream cascade reservoirs are bundled into a main stream node reservoir group, denoted as XX1;

[0018] When 1<a<A, the main stream node reservoir X a-1 Downstream, mainstream node reservoir X a All upstream cascade reservoirs and mainstream node reservoirs X a Bundled into a main stream node reservoir group, denoted as XX a ;

[0019] When a=A, the main stream node reservoir X A-1 All downstream cascade reservoirs are bundled into a node reservoir group, denoted as XX A ;

[0020] Bundling of tributary reservoirs:

[0021] When b=1, the tributary node reservoir Y1 and all upstream cascade reservoirs are bundled into a tributary node reservoir group, denoted as YY1;

[0022] 1<b<B, the tributary node reservoir Y b-1 Downstream and tributary node reservoir Y b All upstream cascade reservoirs and tributary node reservoirs Y b Bundled into a tributary node reservoir group, denoted as YY b ;

[0023] When b=B, the tributary node reservoir Y B-1 All downstream cascade reservoirs are bundled into a tributary node reservoir group, denoted by YY B ;

[0024] S202, bundling of hybrid reservoir groups:

[0025] When a tributary flows into the mainstream, it is assumed that the mainstream node reservoir at the confluence location is X a , then the node reservoir is Main stream node reservoir at confluence location The connected tributary node reservoir is Y B , then the main stream node reservoir X in the main stream a-1 All downstream cascade reservoirs and tributary node reservoirs along the river tributaries Y B All downstream cascade reservoirs and node reservoirs at confluence locations Bundled into a hybrid node reservoir group, denoted as XY a .

[0026] Further, the S3 is specifically:

[0027] S301, establishing a reservoir dispatching model based on node-based bundling of reservoir groups, based on dispatching rules and constraints of node-based reservoir groups, establishing a reservoir dispatching model based on node-based bundling of reservoir groups, inputting historical flood processes k of different times into the reservoir dispatching model, and solving the model to obtain the interception capacity V of each node-based reservoir group under different flood processes;

[0028] S302, adjusting the interception and storage capacity: calculating a historical flood process k, and adjusting the interception and storage capacity of each node reservoir group under the premise of satisfying the dispatching rules, where k = 1, 2, ..., K, K is the total number of historical flood processes;

[0029] S303, calculation of storage capacity replacement coefficient: repeat S302 until the relationship between the storage capacity changes of all node reservoir groups is obtained, and the storage capacity replacement coefficient between the bundled reservoir groups is calculated. The calculation formula is Among them, u and v are arbitrary values ​​of a and b, and γ is arbitrary values ​​of j, l, c, and d; among them, j=1,2,...,J; l=1,2,...,L; c=1,2,...,C; d=1,2,...,D; J, L, C and D are the total number of regulation times of the series node reservoir group, the total number of regulation times of the series tributary node reservoir group, the total number of regulation times of the main stream reservoir group by the mixed node reservoir group, and the total number of regulation times of the main stream reservoir group by the mixed node reservoir group.

[0030] Further, the S302 is specifically as follows:

[0031] S3021. For the regulation of the series node reservoir group, the upstream main stream node reservoir group XX a-1 Or tributary node reservoir group YY b-1 Storage volume adjustment or Recording interception volume adjustment or After that, the downstream main stream node reservoir group XX a Or tributary node reservoir group YY b The change of interception volume is recorded as

[0032] S3022. Regulation of hybrid node reservoir groups:

[0033] 1) Regulate the hybrid node reservoir group XY a Mainstream reservoir group in the upper reaches of the mainstream XX a-1 :

[0034] Regulating mainstream reservoir group XX a-1 Interception volume Recording and regulation After that, the downstream hybrid node reservoir group XY a Change in interception volume And tributary node reservoir group YY B Change in interception volume

[0035] 2) Regulate the hybrid node reservoir group XY a Tributary upstream tributary reservoir group YY B :

[0036] Regulating tributary reservoirs YY B Interception volume Adjusted D times in total, where d = 1, 2, ..., D, recording the interception and storage adjustment After that, the downstream hybrid node reservoir group XY a Change in interception volume And the main stream node reservoir group XX a-1 Change in interception volume

[0037] Further, the S4 is specifically:

[0038] S401. Analysis of mutual storage capacity: for different historical flood processes k, repeat S302 to S303 to calculate the replacement coefficients between the reservoir groups under different flood processes.

[0039] S402. Discuss and analyze the interoperability of reservoir groups in the river basin.

[0040] The beneficial effects of the present invention are as follows: the method bundles the main and tributary reservoirs by selecting nodes, and analyzes the storage capacity mutual use coefficient between the bundled reservoir groups according to different flood processes. The method takes into account both calculation accuracy and efficiency, and provides a new idea for the flood control storage capacity allocation problem of the reservoir group. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Schematic diagram of bundling method for series-connected reservoirs.

[0042] Figure 2 This is a schematic diagram of the bundling method for a hybrid reservoir group.

[0043] Figure 3 This is a schematic diagram of the bundling results of a hybrid reservoir group. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0045] A reservoir group node bundling method for mutual storage capacity analysis includes the following steps:

[0046] S1. Organize the hydrological data of all reservoirs in the basin and identify node reservoirs;

[0047] S2, node-based bundling of reservoir groups;

[0048] S3. Establish a reservoir dispatching model based on node-based bundling of reservoir groups. According to different flood processes, the storage capacity replacement coefficient between reservoirs is obtained by adjusting the storage capacity, and the storage capacity process is adjusted;

[0049] S4. Discuss and analyze the interoperability of the storage capacity of the reservoir groups in the basin.

[0050] The S1 is specifically:

[0051] S11. Data collation: collate the hydrological parameters of all reservoirs in the basin, the location relationship between reservoirs in the basin, the upstream and downstream relationship, and historical flood data of the basin;

[0052] S12. Identify node reservoirs: assign numbers to each reservoir in the basin, with the main stream reservoir denoted by x. n ; The tributary reservoir is denoted as y m , the storage capacity coefficient of the mainstream reservoir in the basin is recorded as β x , the storage capacity coefficient of the tributary reservoir is denoted as β y , according to the storage capacity coefficient β of the mainstream reservoir x and the storage capacity coefficient of the tributary reservoir β y , select A mainstream reservoirs from the mainstream reservoirs with a storage capacity coefficient β x Reservoirs greater than the 90th percentile are regarded as mainstream node reservoirs, denoted by X a , select the storage capacity coefficient β of B tributary reservoirs among the tributary reservoirs y Reservoirs greater than the 90th percentile are regarded as tributary node reservoirs, denoted by Y b ; where n = 1, 2, ..., N, x n For x n-1 The upstream mainstream reservoir, x1,...,x N represents the distribution of reservoirs along the mainstream of the river, N is the total number of reservoirs in the mainstream; m = 1, 2, ..., M, y m for y m-1 The upstream tributary reservoir, y1,...,y M represents the distribution of reservoirs along the river tributaries, M is the total number of tributary reservoirs; a=1,2,...,A,X1,...,X A Represents the distribution of mainstream node reservoirs along the river mainstream; b = 1, 2, ..., B, Y1, ..., Y B Represents the distribution of tributary node reservoirs along the river tributaries.

[0053] In S2, the node-based bundling of reservoir groups is specifically as follows: a and tributary node reservoir X b Bundle the nodes into reservoir groups, specifically:

[0054] S201, Bundling of reservoirs in series: Please refer to Figure 1 ,

[0055] Bundling of main stream reservoirs:

[0056] When a=1, the main stream node reservoir X1 and all upstream cascade reservoirs are bundled into a main stream node reservoir group, denoted as XX1;

[0057] When 1<a<A, the main stream node reservoir X a-1 Downstream, mainstream node reservoir X a All upstream cascade reservoirs and mainstream node reservoirs X a Bundled into a main stream node reservoir group, denoted as XX a ;

[0058] When a=A, the main stream node reservoir X A-1 All downstream cascade reservoirs are bundled into a node reservoir group, denoted as XX A ;

[0059] Bundling of tributary reservoirs:

[0060] When b=1, the tributary node reservoir Y1 and all upstream cascade reservoirs are bundled into a tributary node reservoir group, denoted as YY1;

[0061] 1<b<B, the tributary node reservoir Y b-1 Downstream and tributary node reservoir Y b All upstream cascade reservoirs and tributary node reservoirs Y b Bundled into a tributary node reservoir group, denoted as YY b ;

[0062] When b=B, the tributary node reservoir Y B-1 All downstream cascade reservoirs are bundled into a tributary node reservoir group, denoted by YY B ;

[0063] S202, bundling of hybrid reservoir groups:

[0064] When a tributary flows into the mainstream, it is assumed that the mainstream node reservoir at the confluence location is X a , then the node reservoir is Main stream node reservoir at confluence location The connected tributary node reservoir is Y B, then the main stream node reservoir X in the main stream a-1 All downstream cascade reservoirs and tributary node reservoirs along the river tributaries Y B All downstream cascade reservoirs and node reservoirs at confluence locations Bundled into a hybrid node reservoir group, denoted as XY a .

[0065] See also Figure 2 and Figure 3 ;

[0066] The S3 is specifically:

[0067] S301, establishing a reservoir dispatching model based on node-based bundling of reservoir groups, based on dispatching rules and constraints of node-based reservoir groups, establishing a reservoir dispatching model based on node-based bundling of reservoir groups, inputting historical flood processes k of different times into the reservoir dispatching model, and solving the model to obtain the interception capacity V of each node-based reservoir group under different flood processes;

[0068] S302, adjusting the interception and storage capacity: calculating a historical flood process k, and adjusting the interception and storage capacity of each node reservoir group under the premise of satisfying the dispatching rules, where k = 1, 2, ..., K, K is the total number of historical flood processes;

[0069] S303, calculation of storage capacity replacement coefficient: repeat S302 until the relationship between the storage capacity changes of all node reservoir groups is obtained, and the storage capacity replacement coefficient between the bundled reservoir groups is calculated. The calculation formula is Among them, u and v are arbitrary values ​​of a and b, and γ is arbitrary values ​​of j, l, c, and d; among them, j=1,2,...,J; l=1,2,...,L; c=1,2,...,C; d=1,2,...,D; J, L, C and D are the total number of regulation times of the series node reservoir group, the total number of regulation times of the series tributary node reservoir group, the total number of regulation times of the main stream reservoir group by the mixed node reservoir group, and the total number of regulation times of the main stream reservoir group by the mixed node reservoir group.

[0070] The S302 is specifically as follows:

[0071] S3021. For the regulation of the series node reservoir group, the upstream main stream node reservoir group XX a-1 Or tributary node reservoir group YY b-1 Storage volume adjustment or Recording interception volume adjustment or After that, the downstream main stream node reservoir group XX a Or tributary node reservoir group YY b The change of interception volume is recorded as

[0072] S3022. Regulation of hybrid node reservoir groups:

[0073] 1) Regulate the hybrid node reservoir group XY a Mainstream reservoir group in the upper reaches of the mainstream XX a-1 :

[0074] Regulating mainstream reservoir group XX a-1 Interception volume Recording and regulation After that, the downstream hybrid node reservoir group XY a Change in interception volume And tributary node reservoir group YY B Change in interception volume

[0075] 2) Regulate the hybrid node reservoir group XY a Tributary upstream tributary reservoir group YY B :

[0076] Regulating tributary reservoirs YY B Interception volume Adjusted D times in total, where d = 1, 2, ..., D, recording the interception and storage adjustment After that, the downstream hybrid node reservoir group XY a Change in interception volume And the main stream node reservoir group XX a-1 Change in interception volume

[0077] The S4 is specifically:

[0078] S401. Analysis of mutual storage capacity: for different historical flood processes k, repeat S302 to S303 to calculate the replacement coefficients between the reservoir groups under different flood processes.

[0079] S402. Discuss and analyze the interoperability of reservoir groups in the river basin.

[0080] The above-mentioned embodiments only express the implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be based on the attached claims.

Claims

1. A reservoir group node bundling method for mutual storage capacity analysis, characterized in that: The following steps are involved: S1. Organize the hydrological data of all reservoirs in the basin and identify node reservoirs; S2, node-based bundling of reservoir groups; S3. Establish a reservoir dispatching model based on node-based bundling of reservoir groups. According to different flood processes, the storage capacity replacement coefficient between reservoirs is obtained by adjusting the storage capacity, and the storage capacity process is adjusted; S4. Discuss and analyze the interoperability of the storage capacity of the reservoir groups in the basin.

2. A reservoir group node bundling method for mutual storage capacity analysis according to claim 1, characterized in that: The S1 is specifically: S11. Data collation: collate the hydrological parameters of all reservoirs in the basin, the location relationship between reservoirs in the basin, the upstream and downstream relationship, and historical flood data of the basin; S12. Identify node reservoirs: assign numbers to each reservoir in the basin, with the main stream reservoir denoted by x. n ; The tributary reservoir is denoted as y m , the storage capacity coefficient of the mainstream reservoir in the basin is recorded as β x , the storage capacity coefficient of the tributary reservoir is denoted as β y , according to the storage capacity coefficient β of the mainstream reservoir x and the storage capacity coefficient of the tributary reservoir β y , select A mainstream reservoirs from the mainstream reservoirs with a storage capacity coefficient β x Reservoirs greater than the 90th percentile are regarded as mainstream node reservoirs, denoted by X a , select the storage capacity coefficient β of B tributary reservoirs among the tributary reservoirs y Reservoirs greater than the 90th percentile are regarded as tributary node reservoirs, denoted by Y b ; where n = 1, 2, ..., N, x n For x n-1 The upstream mainstream reservoir, x1,...,x N represents the distribution of reservoirs along the mainstream of the river, N is the total number of reservoirs in the mainstream; m = 1, 2, ..., M, y m for y m-1 The upstream tributary reservoir, y1,...,y M represents the distribution of reservoirs along the river tributaries, M is the total number of tributary reservoirs; a=1,2,...,A,X1,...,X A Represents the distribution of mainstream node reservoirs along the river mainstream; b = 1, 2, ..., B, Y1, ..., Y B Represents the distribution of tributary node reservoirs along the river tributaries.

3. A reservoir group node bundling method for mutual storage capacity analysis according to claim 2, characterized in that: In S2, the node-based bundling of reservoir groups is specifically as follows: a and tributary node reservoir X b Bundle the nodes into reservoir groups, specifically: S201, Bundling of reservoir groups in series: Bundling of main stream reservoirs: When a=1, the main stream node reservoir X1 and all upstream cascade reservoirs are bundled into a main stream node reservoir group, denoted as XX1; When 1<a<A, the main stream node reservoir X a-1 Downstream, mainstream node reservoir X a All upstream cascade reservoirs and mainstream node reservoirs X a Bundled into a main stream node reservoir group, denoted as XX a ; When a=A, the main stream node reservoir X A-1 All downstream cascade reservoirs are bundled into a node reservoir group, denoted as XX A ; Bundling of tributary reservoirs: When b=1, the tributary node reservoir Y1 and all upstream cascade reservoirs are bundled into a tributary node reservoir group, denoted as YY1; 1<b<B, the tributary node reservoir Y b-1 Downstream and tributary node reservoir Y b All upstream cascade reservoirs and tributary node reservoirs Y b Bundled into a tributary node reservoir group, denoted as YY b ; When b=B, the tributary node reservoir Y B-1 All downstream cascade reservoirs are bundled into a tributary node reservoir group, denoted by YY B ; S202, bundling of hybrid reservoir groups: When a tributary flows into the mainstream, it is assumed that the mainstream node reservoir at the confluence location is X a , then the node reservoir is Main stream node reservoir at confluence location The connected tributary node reservoir is Y B , then the main stream node reservoir X in the main stream a-1 All downstream cascade reservoirs and tributary node reservoirs along the river tributaries Y B All downstream cascade reservoirs and main stream node reservoirs at the confluence location X a Y Bundled into a hybrid node reservoir group, denoted as XY a .

4. A reservoir group node bundling method for mutual storage capacity analysis according to claim 3, characterized in that: The S3 is specifically: S301, establishing a reservoir dispatching model based on node-based bundling of reservoir groups, based on dispatching rules and constraints of node-based reservoir groups, establishing a reservoir dispatching model based on node-based bundling of reservoir groups, inputting historical flood processes k of different times into the reservoir dispatching model, and solving the model to obtain the interception capacity V of each node-based reservoir group under different flood processes; S302, adjusting the interception and storage capacity: calculating a historical flood process k, and adjusting the interception and storage capacity of each node reservoir group under the premise of satisfying the dispatching rules, where k = 1, 2, ..., K, K is the total number of historical flood processes; S303, calculation of storage capacity replacement coefficient: repeat S302 until the relationship between the storage capacity changes of all node reservoir groups is obtained, and the storage capacity replacement coefficient between the bundled reservoir groups is calculated. The calculation formula is Among them, u and v are arbitrary values ​​of a and b, and γ is arbitrary values ​​of j, l, c, and d; among them, j=1,2,...,J; l=1,2,...,L; c=1,2,...,C; d=1,2,...,D; J, L, C and D are the total number of regulation times of the series node reservoir group, the total number of regulation times of the series tributary node reservoir group, the total number of regulation times of the main stream reservoir group by the mixed node reservoir group, and the total number of regulation times of the main stream reservoir group by the mixed node reservoir group.

5. A reservoir group node bundling method for mutual storage capacity analysis according to claim 4, characterized in that: The S302 is specifically as follows: S3021. For the regulation of the series node reservoir group, the upstream main stream node reservoir group XX a-1 Or tributary node reservoir group YY b-1 Storage volume adjustment or Recording interception volume adjustment or After that, the downstream main stream node reservoir group XX a Or tributary node reservoir group YY b The change of interception volume is recorded as S3022. Regulation of hybrid node reservoir groups: 1) Regulate the hybrid node reservoir group XY a Mainstream reservoir group in the upper reaches of the mainstream XX a-1 : Regulating mainstream reservoir group XX a-1 Interception volume Recording and regulation After that, the downstream hybrid node reservoir group XY a Change in interception volume And tributary node reservoir group YY B Change in interception volume 2) Regulate the hybrid node reservoir group XY a Tributary upstream tributary reservoir group YY B : Regulating tributary reservoirs YY B Interception volume A total of D times of regulation, where d = 1, 2, ..., D, record the interception and storage regulation After that, the downstream hybrid node reservoir group XY a Change in interception volume And the main stream node reservoir group XX a-1 Change in interception volume 6. A reservoir group node bundling method for mutual storage capacity analysis according to claim 5, characterized in that: The S4 is specifically: S401. Analysis of mutual storage capacity: for different historical flood processes k, repeat S302 to S303 to calculate the replacement coefficients between the reservoir groups under different flood processes. S402. Discuss and analyze the interoperability of reservoir groups in the river basin.

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