Quantitative evaluation method for winter cold-avoiding tourism climate suitability

Abstract

The invention belongs to the field of quantitative evaluation, and discloses a winter cold-avoiding tourism climate suitability quantitative evaluation method, which comprises the following steps: preparing basic meteorological data; calculating winter day-by-day climate comfort according to the basic meteorological data, and evaluating the climate comfort level; calculating a winter climate comfort day index according to the day-by-day climate comfort level; calculating a no-winter-day index; calculating a winter tourism high-influence weather influence degree index; and calculating a winter cold-avoiding tourism climate suitability index by using the winter climate comfort day index, the no-winter day index and the winter tourism high-influence weather influence index, and evaluating the cold-avoiding tourism climate suitability grade. According to the method, the climate comfort can be embodied, the importance of the winter in the cold-avoiding tourism is avoided, the adverse influence degree of high influence weather can be embodied, and the climate suitability of the cold-avoiding tourism site can be comprehensively evaluated.

Description

Technical Field

[0001] This invention belongs to the field of quantitative evaluation technology, specifically relating to a quantitative evaluation method for the suitability of winter climate for tourism. Background Technology

[0002] Current methods for evaluating the suitability of winter tourism climate mainly employ climate comfort indicators, such as the temperature-humidity index, wind efficiency index, effective temperature index, perceived temperature model, and a comprehensive climate comfort index calculated based on the temperature-humidity index, wind chill index, and clothing index. Furthermore, the "Evaluation of Suitable Winter Climates for Tourism (T / CMSA 0018—2020)" uses the no-winter-day index, suitable winter-avoidance day index, and winter air quality index as evaluation indicators for winter climate suitability. Overall, current methods do not consider the adverse effects of high-impact weather on tourism in winter. However, low temperatures, fog, and haze threaten human health and can lead to various illnesses; heavy rain, strong winds, and freezing temperatures can increase accidents and cause injuries or fatalities. Therefore, using only climate comfort indicators to evaluate tourism climate suitability is insufficient. Further optimization of evaluation methods and indicator systems is needed, combining climate comfort and the impact of high-impact weather to comprehensively evaluate both climate comfort and safety. This invention constructs a climate suitability evaluation model for winter escape tourism by comprehensively considering both favorable and unfavorable climatic conditions, including winter climate comfort, the absence of winter days, and the impact of high-impact weather. This model not only reflects the importance of climate comfort and the absence of winter days for winter escape tourism but also the degree of adverse impact from high-impact weather, thus providing a more comprehensive evaluation of the climate suitability of winter escape tourism destinations. Summary of the Invention

[0003] To address the problems existing in the prior art, this invention provides a quantitative evaluation method for the climate suitability of winter escape tourism. This method can reflect both climate comfort and the importance of winter-free days for winter escape tourism, as well as the degree of adverse impact from high-impact weather, thus providing a more comprehensive evaluation of the climate suitability of winter escape tourism destinations.

[0004] To achieve the above object, the present invention provides the following solutions:

[0005] A method for quantitatively evaluating the climate suitability for winter tourism, the method comprising:

[0006] Prepare basic meteorological data;

[0007] Based on basic meteorological data, calculate the daily climate comfort level in winter and evaluate the climate comfort level.

[0008] Calculate the winter climate comfort day index based on the daily climate comfort level;

[0009] Calculate the winterless index;

[0010] Calculate the impact index of high-impact weather on winter tourism;

[0011] The winter climate comfort day index, the winter-free day index, and the winter tourism high-impact weather influence index are used to calculate the winter cold-avoidance tourism climate suitability index and evaluate the winter cold-avoidance tourism climate suitability level.

[0012] Preferably, the prepared basic meteorological data includes:

[0013] Meteorological observation station's daily average temperature, precipitation, sunshine hours, average relative humidity, average wind speed, as well as meteorological observation data on icing, fog, haze, and strong winds from December to February of the following year.

[0014] Preferably, the calculation method for daily climate comfort in winter includes: when the daily average temperature T is greater than 16℃, or when T is less than 10℃ and the daily average humidity RH is not less than 85%, the temperature and humidity index I is used to evaluate climate comfort; when T is not greater than 16℃ and not less than 10℃, or when T is less than 10℃ and RH is less than 85%, the wind efficiency index K is used to evaluate climate comfort.

[0015] The formula for calculating the wind efficiency index K is as follows:

[0016]

[0017] In the formula, K is the wind efficiency index, which is an integer; T is the daily average temperature; V is the daily average wind speed; and S is the daily sunshine duration.

[0018] The formula for calculating the temperature and humidity index I is:

[0019] I=1.8T+32-0.55×(1-RH)×(1.8T-26);

[0020] In the formula, I is the temperature and humidity index, rounded to one decimal place; RH is the daily average relative humidity.

[0021] Preferred methods for calculating the winter climate comfort day index include:

[0022]

[0023] Where, I V The winter climate comfort index is calculated as follows: if I... V If >100, then let I V =100; D VA D represents the number of days in winter when the climate comfort level is at the "most comfortable" level. V The number of days with comfortable winter weather; d is the English unit for "day".

[0024] Preferred methods for calculating the winterlessness index include:

[0025]

[0026] Where, I D D indicates no winter index. T The cumulative number of winter-free days is represented by d, which is the English unit for "day".

[0027] Preferred methods for calculating the impact index of high-impact weather on winter tourism include:

[0028]

[0029] Where, I H The index represents the impact of high-impact weather on winter tourism; n represents the total number of days in winter; M represents the impact of high-impact weather on winter tourism. j r represents the number of days with various high-impact weather events during winter. j Assigning weights to various high-impact weather events, r j The analytic hierarchy process (AHP) was used to determine this.

[0030] Preferably, the method for calculating the winter climate suitability index for winter getaway tourism using the winter climate comfort day index, the no-winter-day index, and the winter tourism high-impact weather influence index, and evaluating the climate suitability level for winter getaway tourism includes:

[0031] I Z =0.4×I V +0.4×I D +0.2×(100-I H );

[0032] Where, I Z For winter tourism, the climate suitability index is I. V The winter climate comfort index, I D For the absence of a winter index, I H The impact index of high-impact weather on winter tourism.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0034] This invention constructs a climate suitability evaluation model for winter escape tourism by comprehensively considering both favorable and unfavorable climatic conditions, including winter climate comfort, the absence of winter days, and the impact of high-impact weather. This provides a new method for evaluating the climate suitability of winter escape tourism, which can reflect both the importance of climate comfort and the absence of winter days for winter escape tourism, as well as the degree of adverse impact of high-impact weather, and thus provide a more comprehensive evaluation of the climate suitability of winter escape tourism destinations. Attached Figure Description

[0035] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of a method for quantitatively evaluating the climate suitability for winter tourism, according to an embodiment of the present invention. Detailed Implementation

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0038] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0039] Example 1

[0040] like Figure 1 As shown, this invention provides a method for quantitatively evaluating the climate suitability for winter tourism, the method comprising:

[0041] Prepare basic meteorological data;

[0042] Based on basic meteorological data, calculate the daily climate comfort level in winter and evaluate the climate comfort level.

[0043] Calculate the winter climate comfort day index based on the daily climate comfort level;

[0044] Calculate the winterless index;

[0045] Calculate the impact index of high-impact weather on winter tourism;

[0046] The winter climate comfort day index, the winter-free day index, and the winter tourism high-impact weather influence index are used to calculate the winter cold-avoidance tourism climate suitability index and evaluate the winter cold-avoidance tourism climate suitability level.

[0047] In this embodiment, the preparation of basic meteorological data is as follows:

[0048] Collect and organize daily average temperature, precipitation, sunshine hours, average relative humidity, average wind speed, and meteorological observation data such as icing, fog, haze, and strong winds from meteorological observation stations throughout the winter (December to February of the following year) to establish a dataset.

[0049] In this embodiment, the winter climate comfort day index is calculated as follows:

[0050] 1. Daily climate comfort assessment

[0051] According to the "Evaluation of Livable Areas in Cold Weather (T / CMSA0018—2020)", during winter (December to February of the following year), the daily climate comfort is evaluated using the wind effect index and the temperature and humidity index according to different daily average temperature T and daily average humidity RH: when T is greater than 16℃, or T is less than 10℃ and RH is not less than 85%, the temperature and humidity index I is used to evaluate the climate comfort; when T is not greater than 16℃ and not less than 10℃, or T is less than 10℃ and RH is less than 85%, the wind effect index K is used to evaluate the climate comfort.

[0052] The formula for calculating the wind efficiency index K is shown in equation (1):

[0053]

[0054] In the formula, K is the wind efficiency index, which is an integer; T is the daily average temperature; V is the daily average wind speed; and S is the daily sunshine duration.

[0055] The formula for calculating the temperature and humidity index I is shown in equation (2):

[0056] I=1.8T+32-0.55×(1-RH)×(1.8T-26) (2)

[0057] In the formula, I is the temperature and humidity index, rounded to one decimal place; T is the daily average temperature; and RH is the daily average relative humidity (%).

[0058] The daily climate comfort level is divided into levels, and the evaluation rules for the "most comfortable", "cool (relatively comfortable)" and "warm (relatively comfortable)" levels are shown in Table 1.

[0059] Table 1. Climatic Comfort Level Evaluation Rules

[0060]

[0061] 2. Winter Climate Comfort Daily Index

[0062] Calculate the daily climate comfort level during winter and evaluate the comfort level according to Table 1. Then, count the number of the most comfortable, cool (relatively comfortable), and warm (relatively comfortable) days in winter, respectively. The sum of these three numbers is the number of comfortable days in winter (D). V ).

[0063] Winter Climate Comfort Day Index (I V The calculation formula is shown in equation (3):

[0064]

[0065] Where, I V The winter climate comfort index is calculated as follows: if I... V If >100, then let I V =100; D VA D represents the number of days in winter when the climate comfort level is at the "most comfortable" level. V It represents the number of comfortable days in winter, which is the sum of the number of days that are "most comfortable", "cool (relatively comfortable)" and "warm (relatively comfortable)". d is the English unit for "day".

[0066] In this embodiment, the winter index is not calculated:

[0067] A daily average temperature ≥10℃ is considered a winterless day, and the Winterless Day Index (I) is also defined. D The calculation formula is shown in equation (4):

[0068]

[0069] Where, I D D indicates no winter index. T This represents the cumulative number of winter-free days. The more winter-free days a winter has, the higher the winter-free index, with a maximum of 100. 'd' is the English unit for "day".

[0070] In this embodiment, the impact index of high-impact weather on winter tourism is calculated as follows:

[0071] High-impact weather for tourism refers to weather phenomena and events that significantly impact tourism activities. High-impact weather not only affects human health, transportation, and tourism activities, but may also endanger the lives and property of tourists. Winter high-impact weather for tourism mainly includes icing, heavy rain, strong winds, fog, and haze. Based on the frequency and severity of icing, heavy rain, strong winds, fog, and haze, the impact model of winter high-impact weather for tourism is established as follows:

[0072]

[0073] Where, I H The index represents the impact of high-impact weather on winter tourism; n represents the total number of days in winter; M represents the impact of high-impact weather on winter tourism. j This represents the number of days with various high-impact weather events during winter, where M1 is the number of days with freezing temperatures, M2 is the number of days with heavy rain (days with daily precipitation ≥ 50 mm), M3 is the number of days with strong winds, and M4 is the total number of days with fog and haze; j Assigning weights to various high-impact weather events, r j Using the analytic hierarchy process (AHP), r1, r2, r3, and r4 were determined to be 0.28, 0.46, 0.16, and 0.1, respectively.

[0074] In this embodiment, the climate suitability evaluation for winter escape tourism is as follows:

[0075] Taking into account winter climate comfort, the absence of winter days, and the impact of high-impact weather, a climate suitability evaluation model for winter escape tourism is constructed. This model reflects both the importance of climate comfort and the absence of winter days for winter escape tourism, as well as the degree of adverse impact from high-impact weather. The model comprehensively evaluates the climate suitability of winter escape tourism destinations from both favorable and unfavorable perspectives, as detailed below:

[0076] I Z =0.4×I V +0.4×I D +0.2×(100-I H (6)

[0077] Where, I Z For winter tourism, the climate suitability index is I. V The winter climate comfort index, I D For the absence of a winter index, I H The impact index of high-impact weather on winter tourism.

[0078] The suitability of the climate for winter tourism is divided into five levels: very suitable, suitable, relatively suitable, average, and unsuitable (Table 2).

[0079] Table 2 Classification of Climate Suitability Levels for Winter Getaway Tourism

[0080]

[0081] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made to the technical solutions of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for quantitatively evaluating the climate suitability for winter escape tourism, characterized in that, The method comprises: Prepare basic meteorological data; Based on basic meteorological data, calculate the daily climate comfort level in winter and evaluate the climate comfort level. Calculate the winter climate comfort day index based on the daily climate comfort level; Calculate the winterless index; Calculate the impact index of high-impact weather on winter tourism; The winter climate comfort day index, the winter-free day index, and the winter tourism high-impact weather influence index are used to calculate the winter cold-avoidance tourism climate suitability index and evaluate the winter cold-avoidance tourism climate suitability level.

2. The method according to claim 1, characterized in that, The basic meteorological data prepared include: Meteorological observation station's daily average temperature, precipitation, sunshine hours, average relative humidity, average wind speed, as well as meteorological observation data on icing, fog, haze, and strong winds from December to February of the following year.

3. The method according to claim 1, characterized in that, The calculation method for daily climate comfort in winter includes: when the daily average temperature T is greater than 16℃, or when T is less than 10℃ and the daily average humidity RH is not less than 85%, the temperature and humidity index I is used to evaluate climate comfort; when T is not greater than 16℃ and not less than 10℃, or when T is less than 10℃ and RH is less than 85%, the wind efficiency index K is used to evaluate climate comfort. The formula for calculating the wind efficiency index K is as follows: In the formula, K is the wind efficiency index, which is an integer; T is the daily average temperature; V is the daily average wind speed; and S is the daily sunshine duration. The formula for calculating the temperature and humidity index I is: I=1.8T+32-0.55×(1-RH)×(1.8T-26); In the formula, I is the temperature and humidity index, rounded to one decimal place; RH is the daily average relative humidity.

4. The method according to claim 1, characterized in that, The methods for calculating the winter climate comfort index include: In the formula, I V The winter climate comfort index is calculated as follows: if I... V If >100, then let I V =100; D VA D represents the number of days in winter when the climate comfort level is at the "most comfortable" level. V The number of days with comfortable winter weather; d is the English unit for "day".

5. The method according to claim 1, characterized in that, The methods for calculating the no-winter index include: In the formula, I D D indicates no winter index. T The cumulative number of winter-free days is represented by d, which is the English unit for "day".

6. The method according to claim 1, characterized in that, The calculation methods for the impact index of high-impact weather on winter tourism include: In the formula, I H The index represents the impact of high-impact weather on winter tourism; n represents the total number of days in winter; M represents the impact of high-impact weather on winter tourism. j r represents the number of days with various high-impact weather events during winter. j Assigning weights to various high-impact weather events, r j The analytic hierarchy process (AHP) was used to determine this.

7. The method according to claim 1, characterized in that, The methods for calculating the winter climate suitability index for winter getaway tourism and evaluating the climate suitability level for winter getaway tourism include: using the winter climate comfort day index, the no-winter-day index, and the winter tourism high-impact weather impact index. I Z =0.4×I V +0.4×I D +0.2×(100-I H ); In the formula, I Z For winter tourism, the climate suitability index is I. V The winter climate comfort index, I D For the absence of a winter index, I H The impact index of high-impact weather on winter tourism.

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