Method for accounting water utilization right value of hilly pond reservoir

Abstract

The invention discloses a hilly pond reservoir water utilization right value accounting method, which belongs to the technical field of water resource value evaluation, and comprises the following steps: determining a water utilization right value accounting range and an accounting period, and obtaining water area, dam body, land, traffic, location and landscape basic data; the water supply value accounting is determined through the water supply unit price and the available water supply amount, the power supply value is determined through the power supply unit price and the available power supply amount, the travel value is determined through the reference unit price and the adjustment coefficient, and the water use right value is the sum of the water supply value, the power supply value and the travel value in the hilly pond reservoir accounting area range; a scientific pricing method needs to be selected on the basis of real material amount accounting for the main requirement approach of water utilization right value evaluation, practicability and scientificity are achieved, compared with traditional natural resources such as water resources or mineral resources, the hilly pond reservoir water utilization right value has the particularity of the hilly pond reservoir water utilization right value, and the value of the hilly pond reservoir water utilization right value can be effectively evaluated. The characteristics are represented in the aspects of composition diversity, content particularity, space-time difference, method comprehensiveness and the like.

Description

Technical Field

[0001] This invention belongs to the field of water resource valuation technology, and specifically relates to a method for calculating the value of water rights in mountain ponds and reservoirs. Background Technology

[0002] Mountain ponds and reservoirs refer to those built adjacent to slopes, with dams over 5 meters high, flood discharge and water conveyance structures, and a total volume ranging from 5,000 m³ to 100,000 m³. 3 These are water storage projects. Reservoirs of this type are distributed throughout various regions, primarily used to address issues such as safe drinking water, agricultural irrigation, and power generation. The value of water rights in mountain ponds and reservoirs (hereinafter referred to as "water rights value") is a comprehensive value form reflecting the regional water use structure and characteristics, encompassing resource value, economic value, ecological value, and social value, with the water rights of rural collective mountain ponds and reservoirs as the object. The assessment of the value of water rights in mountain ponds and reservoirs involves numerous influencing factors, necessitating the establishment of a complete and accurate value indicator system. To ensure water resource ecological security, improve the efficiency of water rights value transformation, explore multiple ways to realize water rights value, promote rural revitalization and common prosperity, and ensure that mountain ponds and reservoirs fully utilize their functions, the accounting of water rights value for mountain ponds and reservoirs is of great significance. Summary of the Invention

[0003] Technical problem to be solved: This application mainly proposes a method for calculating the value of water rights in mountain ponds and reservoirs, which solves the technical problem that the value of water rights in mountain ponds and reservoirs is still in the exploratory stage in the existing technology. Technical solution

[0004] A method for calculating the value of water rights in mountain ponds and reservoirs includes the following steps: Step S10, Determine the accounting object: Determine the scope and accounting period for the value of water rights, and obtain basic data on water areas, dams, land use, transportation, location and landscape; Step S20, Calculate the value of water supply: The value of water supply is determined by the unit price of water supply and the available water volume, as shown in Formula 1: Water supply value = water supply unit price × available water volume (Formula 1); Step S30, Calculate the value of electricity supply: The value of electricity supply is determined by the unit price of electricity supply and the available power volume, as shown in Formula 2: Value of electricity supply = Price per unit of electricity supply × Available electricity volume (Equation 2); Step S40, Calculate the cultural and tourism value: The cultural and tourism value is determined by the benchmark unit price and the adjustment coefficient, as shown in Formula 3: Cultural and tourism value = benchmark unit price × cultural and tourism adjustment coefficient (Formula 3); Step S50, calculate the value of water rights: The value of water rights is the sum of the value of water supply, power supply and cultural tourism within the accounting area of ​​the reservoir.

[0005] As a preferred technical solution of the present invention: the determination of the water supply unit price in step S20 (Formula 1) adopts the benchmark price method. The benchmark unit price is converted into the water supply unit price through the water supply adjustment coefficient. The determination of the water supply adjustment coefficient needs to consider factors such as the water quantity, water quality, location, and development conditions of the reservoir, as described in Formula 4: Water supply unit price = benchmark unit price × water supply adjustment coefficient (Equation 4); The determination of available water supply needs to consider both inflow and outflow conditions, excluding basic ecological water use and rational water use for farmland irrigation; the calculation adopts the multiple storage method, deducting the water use for basic ecological water use and rational water use for farmland irrigation from the total water supply, as shown in Equations 5 to 7: Available water volume = Total water supply - Other water consumption (Equation 5); Total water supply = 9.38 × normal reservoir capacity × (normal reservoir capacity ÷ water volume over many years) -0.5 (Formula 6); Water volume over many years = 0.1 × average runoff depth over many years × catchment area (Equation 7).

[0006] As a preferred technical solution of the present invention: the unit price of electricity supply in formula 2 of step S30 is determined by the market value method, with market price as the main factor; the amount of electricity available is determined based on the design documents, and when relevant documents are lacking, it is determined based on the statistics of the average power generation over 5 years.

[0007] As a preferred technical solution of the present invention: the benchmark unit price in formula 3 of step S40 is determined by market research method, based on the average revenue of cultural tourism development of the reservoir in the current period; the cultural tourism adjustment coefficient is determined by analytic hierarchy process, taking into account resource endowment, development conditions and tourism elements.

[0008] As a preferred embodiment of the present invention: the water supply adjustment coefficient in equation 4 is defined by equation 8 below: Water supply adjustment coefficient = water quantity coefficient × water quality coefficient × location coefficient × development coefficient (Equation 8). The specific coefficients in Formula 8 are as follows: for water volume conditions > 200,000 cubic meters, the water volume coefficient is 1.2; for water volume conditions 200,000-150,000 cubic meters, the water volume coefficient is 1.1; for water volume conditions 150,000-100,000 cubic meters, the water volume coefficient is 1; for water volume conditions 100,000-50,000 cubic meters, the water volume coefficient is 0.9; and for water volume conditions ≤ 50,000 cubic meters, the water volume coefficient is 0.8. The water quality conditions are classified as follows: Class I, with a water quality coefficient of 1.2; Class II, with a water quality coefficient of 1.1; Class III, with a water quality coefficient of 1; Class IV, with a water quality coefficient of 0.9; and Class V, with a water quality coefficient of 0.8. The classification of water quality conditions I to V is based on the "Surface Water Environmental Quality Standard" (GB 3838-2002) and determined in conjunction with the water quality characteristics of typical water areas in mountain ponds and reservoirs.

[0009] Location conditions <10km, location coefficient is 1.2; location conditions 10-20km, location coefficient is 1.1; location conditions 20-30km, location coefficient is 1; location conditions 30-40km, location coefficient is 0.9; location conditions >40km, location coefficient is 0.8. The development coefficient is 1.2 for development conditions of 0%-20%, 1.1 for development conditions of 20%-40%, 1 for development conditions of 40%-60%, 0.9 for development conditions of 60%-80%, and 0.8 for development conditions of 80%-100%.

[0010] As a preferred technical solution of the present invention: the tourism adjustment coefficient in Equation 3 adopts the analytic hierarchy process, comprehensively considering three influencing factors: resource endowment, development conditions, and tourism value, as described in Equation 9 below: Cultural tourism adjustment coefficient = ∑ (indicator score × indicator weight) (Equation 9); The indicators in Equation 9, including their scores and weights, are derived from three influencing factors: resource endowment, development conditions, and tourism value. Resource endowment factors include total reservoir capacity, area of ​​mountain ponds and reservoirs, water quality conditions, area of ​​leasable land, area of ​​construction land within leasable land, and degree of development of mountain ponds and reservoirs. Development conditions factors include distance from main roads, road accessibility, distance from the main urban area, distance from major stations, and surrounding infrastructure. Tourism value factors include natural landscapes, cultural landscapes, and scientific and educational resources.

[0011] As a preferred technical solution of the present invention: the analytic hierarchy process for calculating the weights of factors influencing the value of reservoirs and ponds is divided into four steps, namely, constructing a hierarchical structure model, constructing a judgment matrix, calculating the weights of indicators and performing consistency checks, and performing a hierarchical overall ranking. The hierarchical model is constructed from top to bottom into three layers: decision objective, criteria elements, and alternative solutions. In the process of constructing the hierarchical model, the number of elements compared between each layer is ≤9; otherwise, the accuracy of the calculation results will decrease as the number of elements increases. The three layers of criteria elements are criterion layer 1, criterion layer 2, and criterion layer 3, and the three layers of alternative solutions are alternative solution 1, alternative solution 2, and alternative solution 3. The Analytic Hierarchy Process (AHP) is based on judging the importance of different elements at each level. It uses pairwise comparisons between different elements to assign values ​​that reflect their relative importance, thus constructing a judgment matrix. B i and elements B j The relative importance of B ij To represent this, the specific assignment method is a 1-9 level scaling method; the judgment matrix is ​​as shown in Equation 10: (Equation 10).

[0012] As a preferred technical solution of the present invention: calculate the nth root of the product of the elements in each row of the judgment matrix. Where n is the order of the judgment matrix, the weights of each element can be obtained after standardization. W i The specific calculation formula is as follows: (Equation 11); (Equation 12); The consistency of the judgment matrix changes with the eigenvalues, therefore, it is necessary to test the consistency of the judgment matrix to better assess the impact of hierarchical ranking. The random consistency ratio test method first calculates the largest eigenvalue λ of the judgment matrix. max The consistency index (CI) is calculated, and then the average random consistency index (RI) of the AHP (Analytic Hierarchy Process) is consulted. RI varies with the matrix order, with the following RI values ​​for different orders (n): 0 for order 1, 0 for order 2, 0.58 for order 3, 0.90 for order 4, 1.12 for order 5, 1.24 for order 6, 1.32 for order 7, 1.41 for order 8, 1.45 for order 9, and 1.49 for order 10. Finally, the random consistency ratio (CR) is calculated. If CR < 0.1, the judgment matrix is ​​considered to have passed the consistency test; otherwise, the judgment matrix needs to be readjusted to meet consistency requirements. The specific calculation formula is as follows: (Equation 13); (Equation 14); (Equation 15); in, AW This is used to determine the weights of the standardized matrix, summed row by row.

[0013] As a preferred technical solution of the present invention: the determination of indicator weights is achieved by comparing each indicator at each level pairwise to obtain a judgment matrix based on their relative importance, and by using YAAHP software to calculate the weights of each indicator at different levels in turn, and then performing a consistency check on the obtained matrix. If the CR values ​​are all less than 0.1, then the consistency check requirements are met.

[0014] As a preferred technical solution of the present invention: the index score is determined with reference to the index of factors affecting the cultural and tourism value of Shantang Reservoir and the coefficient of factors affecting the cultural and tourism value of Shantang Reservoir.

[0015] Compared with existing technologies, the technical solution used in the method for calculating the value of water rights in mountain ponds and reservoirs described in this application has the following technical advantages: 1. The main approach to assessing the value of water rights needs to be based on physical quantity accounting and a scientific pricing method that is both practical and scientific. 2. Compared with traditional water resources or mineral resources, the value of water rights in mountain ponds and reservoirs has its own unique characteristics. These characteristics are manifested in the diversity of its composition, the specificity of its content, the differences in time and space, and the comprehensiveness of its methods. This invention fully considers these characteristics; 3. In this invention, the indicator system construction and evaluation method are applied in practice, and the results are highly reliable, the evaluation method is more reasonable, and the practicality is strong. Attached Figure Description

[0016] Figure 1 The map in Embodiment 2 of this application for the method of calculating the value of water rights of mountain ponds and reservoirs includes the total reservoir capacity, area of ​​mountain ponds and reservoirs, water quality conditions, area of ​​leasable land, area of ​​construction land in leasable land, development level of mountain ponds and reservoirs, distance from main roads, traffic status, distance from main urban area, distance from major stations, surrounding infrastructure, natural landscape, cultural landscape and science and education resources. Figure 2 This is an example of the AHP hierarchical analysis structure diagram of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention.

[0018] Example 1: A method for calculating the value of water rights in mountain ponds and reservoirs, the specific steps of which are as follows: Step S10, Determine the accounting object: Determine the scope and accounting period for the value of water rights, and obtain basic data on water areas, dams, land use, transportation, location and landscape; Step S20, Calculate the value of water supply: The value of water supply is determined by the unit price of water supply and the available water volume, as shown in Formula 1: Water supply value = water supply unit price × available water volume (Formula 1); Step S30, Calculate the value of electricity supply: The value of electricity supply is determined by the unit price of electricity supply and the available power volume, as shown in Formula 2: Value of electricity supply = Price per unit of electricity supply × Available electricity volume (Equation 2); Step S40, Calculate the cultural and tourism value: The cultural and tourism value is determined by the benchmark unit price and the adjustment coefficient, as shown in Formula 3: Cultural and tourism value = benchmark unit price × cultural and tourism adjustment coefficient (Formula 3); Step S50, calculate the value of water rights: The value of water rights is the sum of the value of water supply, power supply and cultural tourism within the accounting area of ​​the reservoir.

[0019] In step S20, the water supply unit price in Formula 1 is determined using the benchmark price method. The benchmark unit price is converted into the water supply unit price through a water supply adjustment coefficient. The determination of the water supply adjustment coefficient needs to consider factors such as the water quantity, water quality, location, and development conditions of the reservoir, as described in Formula 4: Water supply unit price = benchmark unit price × water supply adjustment coefficient (Equation 4); The determination of available water supply needs to consider both inflow and outflow conditions, excluding basic ecological water use and rational water use for farmland irrigation; the calculation adopts the multiple storage method, deducting the water use for basic ecological water use and rational water use for farmland irrigation from the total water supply, as shown in Equations 5 to 7: Available water volume = Total water supply - Other water consumption (Equation 5); Total water supply = 9.38 × normal reservoir capacity × (normal reservoir capacity ÷ water volume over many years) -0.5 (Formula 6); Water volume over many years = 0.1 × average runoff depth over many years × catchment area (Equation 7).

[0020] In step S30, the unit price of electricity supply in formula 2 is determined using the market value method, with market prices as the primary factor; the amount of electricity available is determined primarily based on the design documents, and when relevant documents are lacking, it is determined based on the statistical data of the average power generation over 5 years.

[0021] In step S40, the benchmark unit price in formula 3 is determined using a market research method, based on the average revenue from cultural tourism development of the reservoir in the current period; the cultural tourism adjustment coefficient is determined using the analytic hierarchy process, taking into account resource endowment, development conditions, and tourism factors.

[0022] The water supply adjustment coefficient in Equation 4 is defined by Equation 8 below: Water supply adjustment coefficient = water quantity coefficient × water quality coefficient × location coefficient × development coefficient (Equation 8). The coefficients in Formula 8 are taken with reference to Table 1, the reference table for the water supply value coefficients of mountain ponds and reservoirs.

[0023] Table 1 Reference Table of Water Supply Value Coefficient of Mountain Reservoirs .

[0024] The classification of water quality conditions from Class I to Class V is based on the "Surface Water Environmental Quality Standard" (GB 3838-2002) and determined in conjunction with the water quality characteristics of typical mountain ponds and reservoirs. The tourism adjustment coefficient in Equation 3 adopts the analytic hierarchy process, comprehensively considering three factors: resource endowment, development conditions, and tourism value, as described in Equation 9 below: Cultural tourism adjustment coefficient = ∑ (indicator score × indicator weight) (Equation 9); The indicators in Equation 9, including their scores and weights, are derived from three influencing factors: resource endowment, development conditions, and tourism value. Resource endowment factors include total reservoir capacity, area of ​​mountain ponds and reservoirs, water quality conditions, area of ​​leasable land, area of ​​construction land within leasable land, and degree of development of mountain ponds and reservoirs. Development conditions factors include distance from main roads, road accessibility, distance from the main urban area, distance from major stations, and surrounding infrastructure. Tourism value factors include natural landscapes, cultural landscapes, and scientific and educational resources.

[0025] The analytic hierarchy process (AHP) is used to calculate the weights of factors influencing the value of reservoirs in four steps: constructing a hierarchical structure model, constructing a judgment matrix, calculating the weights of the indicators and performing consistency checks, and performing a hierarchical overall ranking. The hierarchical model is constructed from top to bottom into three layers: decision objective, criteria elements, and alternative solutions. During the construction of the hierarchical model, the number of elements compared between each layer should be ≤9; otherwise, the accuracy of the calculation results will decrease as the number of elements increases. Figure 2 The example AHP hierarchical analysis structure diagram shown has three layers of criteria elements, namely criteria layer 1, criteria layer 2, and criteria layer 3, and three layers of alternative solutions, namely alternative solution 1, alternative solution 2, and alternative solution 3.

[0026] The Analytic Hierarchy Process (AHP) is based on the assessment of the importance of different elements at each level by professionals. Decision-makers can use pairwise comparisons between different elements to assign values ​​that reflect their relative importance, thus constructing a judgment matrix. Elements B i and elements B j The relative importance of is B ij To represent this, the specific assignment method is the "1-9" level scaling method proposed by Professor Satie, as shown in Table 2; the judgment matrix is ​​as described in Equation 10: (Equation 10); Table 2. Satie's "1-9" scale method .

[0027] Calculate the nth root of the product of the elements in each row of the judgment matrix. Where n is the order of the judgment matrix, the weights of each element can be obtained after standardization. W i The specific calculation formula is as follows: (Equation 11); (Equation 12); The consistency of the judgment matrix changes with the eigenvalues, therefore, it is necessary to test the consistency of the judgment matrix to better assess the impact of hierarchical ranking. This invention draws on the currently accepted random consistency ratio test method, and first calculates the largest eigenvalue λ of the judgment matrix. max The consistency index (CI) is calculated, and then the average random consistency index (RI) of the AHP (Analog-Philosophy of Hierarchical Analysis) is consulted. RI varies with the matrix order; the RI values ​​for different orders n are detailed in Table 3. Finally, the random consistency ratio (CR) is calculated. If CR < 0.1, the judgment matrix is ​​considered to have passed the consistency test; otherwise, the judgment matrix needs to be readjusted to meet the consistency requirements. The specific calculation formula is as follows: (Equation 13); (Equation 14); (Equation 15); in, AW This is used to determine the weights of the standardized matrix, summed row by row.

[0028] Table 3. Summary of Average Random Consistency Index (RI) Values .

[0029] The determination of indicator weights involves pairwise comparisons of each indicator at each level to obtain a judgment matrix based on their relative importance. YAAHP software is then used to calculate the weights of each indicator at different levels. The resulting matrix is ​​then subjected to a consistency check. If the CR values ​​are all less than 0.1, the consistency check is deemed satisfactory.

[0030] The determination of the index scores refers to Table 4, the index description table of the influencing factors of the cultural and tourism value of Shantang Reservoir, and Table 5, the reference table of coefficients of the influencing factors of the cultural and tourism value of Shantang Reservoir. Table 4. Explanation of Indicators of Factors Affecting the Cultural and Tourism Value of Shantang Reservoir .

[0031] Table 5 Reference Table of Factors Affecting the Cultural Tourism Value of Shantang Reservoir .

[0032] Example 2 A method for calculating the value of water rights in mountain ponds and reservoirs, with the following specific steps: Step S10: Determine the accounting object: Ma'anling Reservoir is located in Sanshan Village, Meixi Town, Anji County. It has a catchment area of ​​0.2 square kilometers, a storage capacity of 80,000 cubic meters, an irrigation area of ​​300 mu (approximately 20 hectares), a dam crest length of 95 meters, a maximum dam height of 13.5 meters, and a design flood standard of once every 10 years. The average annual irrigation volume is 30,000 cubic meters. 3 The water quality is Class II, the location is 31 km from the main urban area, and there are no development projects in the surrounding area. Step S20, Calculate the value of water supply: The value of water supply is determined by the unit price of water supply and the available water volume, as shown in Formula 1: Water supply value = water supply unit price × available water volume (Formula 1); Available water volume = Total water supply - Other water consumption (Equation 5); Total water supply = 9.38 × normal reservoir capacity × (normal reservoir capacity ÷ water volume over many years) -0.5 (Formula 6); Water volume over many years = 0.1 × average runoff depth over many years × catchment area (Equation 7); Water supply unit price = benchmark unit price × water supply adjustment coefficient (Equation 4); Water supply adjustment coefficient = water quantity coefficient × water quality coefficient × location coefficient × development coefficient (Equation 8). First, determine the available water volume. Based on the hydrological handbook and the monthly rainfall distribution coefficient method, the recommended value for the multi-year average runoff depth is 796.9 mm. The normal reservoir capacity is 0.7 times the total reservoir capacity.

[0033] Water volume over many years = 0.1 × average runoff depth over many years × catchment area = 0.1 × 796.9 × 0.2 = 159,000 m³ 3 ; Total water supply = 9.38 × normal reservoir capacity × (normal reservoir capacity ÷ water volume over many years) -0.5 =9.38×8×0.7×(8×0.7÷15.9×100) -0.5 =88,500 m 3 ; Available water volume = Total water supply - Water volume for other uses = 8.85 - 3 = 5.85 million m³ 3 ; Then, the water supply unit price is determined. Based on a comprehensive analysis of the water price calculation results for the Anji County Shantang Reservoir Project, the recommended benchmark unit price for water supply is 4.12 yuan / m³. 3 The adjustment coefficient is determined with reference to Table 1, which refers to the water supply value coefficient of mountain ponds and reservoirs.

[0034] Table 1 Reference Table of Water Supply Value Coefficient of Mountain Reservoirs .

[0035] Adjustment factor = 0.9 × 1.1 × 0.9 × 1.2 = 1.07; Water supply unit price = base unit price × adjustment coefficient = 4.12 × 1.07 = 4.41 yuan / m³ 3 ; According to Equation 1, we can obtain: Water supply value = water supply unit price × available water volume = 4.41 × 5.85 = 258,000 yuan / year; Step S30, Calculate the value of electricity supply: The value of electricity supply is determined by the unit price of electricity supply and the available power volume, as shown in Formula 2: Value of electricity supply = Price per unit of electricity supply × Available electricity volume (Equation 2); Value of electricity supply = Price per unit of electricity supply × Available electricity volume = 0.45 × 0 = 0 yuan / year; Step S40, Calculate the cultural and tourism value: The cultural and tourism value is determined by the benchmark unit price and the adjustment coefficient, as shown in Formula 3: Cultural and tourism value = benchmark unit price × cultural and tourism adjustment coefficient (Equation 3); Cultural tourism adjustment coefficient = ∑ (indicator score × indicator weight) (Equation 9); The specific indicators in Equation 9, including the index scores and index weights, are: total reservoir capacity, reservoir area, water quality conditions, leasable land area, construction land area within leasable land, reservoir development level, distance from main roads, road accessibility, distance from the main urban area, distance from major stations, surrounding infrastructure, natural landscapes, cultural landscapes, and scientific and educational resources, etc. Figure 1 As shown, Figure 1 A hierarchical analysis diagram of the cultural tourism value of Shantang Reservoir in Anji County.

[0036] The determination of the index scores refers to Table 4, the index description table of the influencing factors of the cultural and tourism value of Shantang Reservoir, and Table 5, the reference table of coefficients of the influencing factors of the cultural and tourism value of Shantang Reservoir. Table 4. Explanation of Indicators of Factors Affecting the Cultural and Tourism Value of Shantang Reservoir .

[0037] Table 5 Reference Table of Factors Affecting the Cultural Tourism Value of Shantang Reservoir .

[0038] The indicator weights were determined using an expert scoring method. Eight experts in relevant fields were invited to make pairwise judgments on each indicator at each level to obtain a judgment matrix based on their relative importance. YAAHP software was then used to calculate the weights of each indicator at different levels. The resulting matrix was then subjected to a consistency check; all CR values ​​were less than 0.1, meeting the consistency check requirements. The specific calculation process is as follows: Table 6. Cultural Tourism Value Judgment Matrix of Shantang Reservoir in Anji County .

[0039] λmax =3, CI=0, CR=0<0.1; Table 7 Resource Endowment Condition Judgment Matrix .

[0040] λ max =6, CI=0, CR=0<0.1; Table 8. Matrix for Judging Tourism Development Conditions .

[0041] λ max =5.3661, CI=0.0916, CR=0.0817<0.1; Table 9. Value Judgment Matrix of Tourism Elements .

[0042] λ max =5.3661, CI=0.0916, CR=0.0817<0.1; Adjustment coefficient = ∑ (Indicator score × Indicator weight) = Total reservoir capacity coefficient × Weight + Reservoir area coefficient × Weight + Water quality condition coefficient × Weight + Leasable land area coefficient × Weight + Construction land area coefficient in leasable land × Weight + Reservoir development level coefficient × Weight + Distance from main road coefficient × Weight + Traffic conditions coefficient × Weight + Distance from Anji main urban area coefficient × Weight + Distance from major stations × Weight + Surrounding infrastructure coefficient × Weight + Natural landscape coefficient × Weight + Cultural landscape coefficient Number × Weight + Science and Education Resource Coefficient × Weight = 1.1 × 0.0806 + 0.8 × 0.0922 + 1.5 × 0.0306 + 0.2 × 0.0706 + 1.3 × 0.1763 + 0.1 × 0.0305 + 1 × 0.1036 + 1 × 0.1123 + 0.1 × 0.0371 + 0.5 × 0.0354 + 0.1 × 0.0675 + 0.5 × 0.0617 + 0.1 × 0.0666 + 0.1 × 0.0350 = 0.73514.

[0043] The benchmark unit price is determined by the average revenue from the cultural tourism development of the reservoirs and ponds during the current period. Based on the survey results of developed projects in Anji County, a value of 1.401 million yuan per year is recommended.

[0044] Cultural tourism value = benchmark unit price × adjustment coefficient = 140.1 × 0.73514 = 1,032,000 yuan / year.

[0045] Step S50, calculate the value of water rights: The value of water rights is the sum of the value of water supply, power supply and cultural tourism within the accounting area of ​​the reservoir.

[0046] The value of water rights for Ma'anling Reservoir includes: water supply value of RMB 258,000 / year, electricity supply value of RMB 0 / year, and cultural and tourism value of RMB 1,032,000 / year.

[0047] The above description is merely an exemplary embodiment of the present invention and does not limit the scope of patent protection of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for calculating the value of water rights in mountain ponds and reservoirs, characterized in that, Specifically, the steps include the following: Step S10, Determine the accounting object: Determine the scope and accounting period for the value of water rights, and obtain basic data on water areas, dams, land use, transportation, location and landscape; Step S20, Calculate the value of water supply: The value of water supply is determined by the unit price of water supply and the available water volume, as shown in Formula 1: Water supply value = water supply unit price × available water volume (Formula 1); Step S30, Calculate the value of electricity supply: The value of electricity supply is determined by the unit price of electricity supply and the available power volume, as shown in Formula 2: Value of electricity supply = Price per unit of electricity supply × Available electricity volume (Equation 2); Step S40, Calculate the cultural and tourism value: The cultural and tourism value is determined by the benchmark unit price and the adjustment coefficient, as shown in Formula 3: Cultural and tourism value = benchmark unit price × cultural and tourism adjustment coefficient (Formula 3); Step S50, calculate the value of water rights: The value of water rights is the sum of the value of water supply, power supply and cultural tourism within the accounting area of ​​the reservoir.

2. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 1, characterized in that, In step S20, the water supply unit price in Formula 1 is determined using the benchmark price method. The benchmark unit price is converted into the water supply unit price through a water supply adjustment coefficient. The determination of the water supply adjustment coefficient needs to consider factors such as the water quantity, water quality, location, and development conditions of the reservoir, as described in Formula 4: Water supply unit price = benchmark unit price × water supply adjustment coefficient (Equation 4); The determination of available water supply needs to consider both inflow and outflow conditions, excluding basic ecological water use and rational water use for farmland irrigation; the calculation adopts the multiple storage method, deducting the water use for basic ecological water use and rational water use for farmland irrigation from the total water supply, as shown in Equations 5 to 7: Available water volume = Total water supply - Other water consumption (Equation 5); Total water supply = 9.38 × normal reservoir capacity × (normal reservoir capacity ÷ water volume over many years) -0.5 (Formula 6); Water volume over many years = 0.1 × average runoff depth over many years × catchment area (Equation 7).

3. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 1, characterized in that, In step S30, the unit price of electricity supply in formula 2 is determined using the market value method, with market prices as the primary factor; the amount of electricity available is determined primarily based on the design documents, and when relevant documents are lacking, it is determined based on the statistical data of the average power generation over 5 years.

4. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 1, characterized in that, In step S40, the benchmark unit price in formula 3 is determined using a market research method, based on the average revenue from cultural tourism development of the reservoir in the current period; the cultural tourism adjustment coefficient is determined using the analytic hierarchy process, taking into account resource endowment, development conditions, and tourism factors.

5. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 2, characterized in that, The water supply adjustment coefficient in Equation 4 is defined by Equation 8 below: Water supply adjustment coefficient = water quantity coefficient × water quality coefficient × location coefficient × development coefficient (Equation 8). The specific coefficients in Formula 8 are as follows: for water volume conditions > 200,000 cubic meters, the water volume coefficient is 1.2; for water volume conditions 200,000-150,000 cubic meters, the water volume coefficient is 1.1; for water volume conditions 150,000-100,000 cubic meters, the water volume coefficient is 1; for water volume conditions 100,000-50,000 cubic meters, the water volume coefficient is 0.9; and for water volume conditions ≤ 50,000 cubic meters, the water volume coefficient is 0.

8. The water quality conditions are classified as follows: Class I, with a water quality coefficient of 1.2; Class II, with a water quality coefficient of 1.1; Class III, with a water quality coefficient of 1; Class IV, with a water quality coefficient of 0.9; and Class V, with a water quality coefficient of 0.

8. The classification of water quality conditions I to V is based on the "Surface Water Environmental Quality Standard" (GB 3838-2002) and determined in conjunction with the water quality characteristics of typical water areas in mountain ponds and reservoirs. Location conditions <10km, location coefficient is 1.2; location conditions 10-20km, location coefficient is 1.1; location conditions 20-30km, location coefficient is 1; location conditions 30-40km, location coefficient is 0.9; location conditions >40km, location coefficient is 0.

8. The development coefficient is 1.2 for development conditions of 0%-20%, 1.1 for development conditions of 20%-40%, 1 for development conditions of 40%-60%, 0.9 for development conditions of 60%-80%, and 0.8 for development conditions of 80%-100%.

6. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 4, characterized in that, The tourism adjustment coefficient in Equation 3 adopts the analytic hierarchy process, comprehensively considering three influencing factors: resource endowment, development conditions, and tourism value, as described in Equation 9 below: Cultural tourism adjustment coefficient = ∑ (indicator score × indicator weight) (Equation 9); The indicators in Equation 9, including their scores and weights, are derived from three influencing factors: resource endowment, development conditions, and tourism value. Resource endowment factors include total reservoir capacity, area of ​​mountain ponds and reservoirs, water quality conditions, area of ​​leasable land, area of ​​construction land within leasable land, and degree of development of mountain ponds and reservoirs. Development conditions factors include distance from main roads, road accessibility, distance from the main urban area, distance from major stations, and surrounding infrastructure. Tourism value factors include natural landscapes, cultural landscapes, and scientific and educational resources.

7. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 6, characterized in that, The analytic hierarchy process (AHP) is used to calculate the weights of factors influencing the value of reservoirs in four steps: constructing a hierarchical structure model, constructing a judgment matrix, calculating the weights of the indicators and performing consistency checks, and performing a hierarchical overall ranking. The hierarchical model is constructed from top to bottom into three layers: decision objectives, criteria elements, and alternative solutions. In the process of constructing the hierarchical structure model, the number of elements compared between each level is ≤9; otherwise, the accuracy of the calculation results will decrease as the number of elements increases. The three levels of criteria elements are criteria level 1, criteria level 2 and criteria level 3, and the three levels of alternative solutions are alternative solution 1, alternative solution 2 and alternative solution 3. The Analytic Hierarchy Process (AHP) is based on judging the importance of different elements at each level. It uses pairwise comparisons between different elements to assign values ​​to reflect the relative importance between different elements, thus forming a judgment matrix. elements B i and elements B j The relative importance of B ij To represent this, the specific assignment method is a 1-9 level scaling method; the judgment matrix is ​​as shown in Equation 10: (Equation 10).

8. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 7, characterized in that, Calculate the nth root of the product of the elements in each row of the judgment matrix. Where n is the order of the judgment matrix, the weights of each element can be obtained after standardization. W i The specific calculation formula is as follows: (Equation 11); (Equation 12); The consistency of the judgment matrix changes with the eigenvalues, therefore, it is necessary to test the consistency of the judgment matrix to better assess the impact of hierarchical ranking. The random consistency ratio test method first calculates the largest eigenvalue λ of the judgment matrix. max The consistency index (CI) is calculated, and then the average random consistency index (RI) of the AHP (Analytic Hierarchy Process) is consulted. RI varies with the matrix order, with the following RI values ​​for different orders (n): 0 for order 1, 0 for order 2, 0.58 for order 3, 0.90 for order 4, 1.12 for order 5, 1.24 for order 6, 1.32 for order 7, 1.41 for order 8, 1.45 for order 9, and 1.49 for order 10. Finally, the random consistency ratio (CR) is calculated. If CR < 0.1, the judgment matrix is ​​considered to have passed the consistency test; otherwise, the judgment matrix needs to be readjusted to meet consistency requirements. The specific calculation formula is as follows: (Equation 13); (Equation 14); (Equation 15); where, AW This is used to determine the weights of the standardized matrix, summed row by row.

9. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 8, characterized in that, The determination of indicator weights involves pairwise comparisons of each indicator at each level to obtain a judgment matrix based on their relative importance. YAAHP software is then used to calculate the weights of each indicator at different levels. The resulting matrix is ​​then subjected to a consistency check. If the CR values ​​are all less than 0.1, the consistency check is deemed satisfactory.

10. The method for calculating the value of water rights in mountain ponds and reservoirs according to claim 6, characterized in that, The scores of the indicators were determined with reference to the indicators of factors influencing the cultural and tourism value of Shantang Reservoir and the coefficients of factors influencing the cultural and tourism value of Shantang Reservoir.

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