CN115423320A - Health maintenance project construction site selection analysis and evaluation method based on regionality - Google Patents
Health maintenance project construction site selection analysis and evaluation method based on regionality Download PDFInfo
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Abstract
The invention discloses a construction site selection analysis and evaluation method based on regional health care projects, which comprises the following steps: the method comprises the steps of obtaining parameters of a hot spring mountain site selection site, analyzing the water quality of the hot spring, analyzing the feasibility of the hot spring mountain site selection site, analyzing the rainfall suitability of the hot spring mountain site selection site, analyzing the temperature suitability of the hot spring mountain site selection site and analyzing a comprehensive evaluation coefficient of the hot spring mountain site selection site.
Description
Technical Field
The invention relates to the technical field of health care project site selection, in particular to a regional health care project construction site selection analysis and evaluation method.
Background
With the development of society and science and technology, the living standard of people is continuously improved, and the demand of health care projects is gradually increased, wherein the health care projects comprise forest vegetation health care projects, hot spring mineral health care projects, coastal lake health care projects, rural garden health care projects and the like, among a plurality of health care projects, the hot spring mineral health care projects are the most important resources in traditional health care tourism because hot springs have health care and recuperation functions, under the condition, the health care projects of the hot spring mineral health care projects are gradually increased, the hot spring health care industry starts to have a tendency of recreation and integration on the basis of the original hot spring medicine and hot spring rehabilitation, therefore, the construction frequency of a hot spring mountain village is increased, and if the construction site of the hot spring mountain village is unreasonable, the construction and later-stage use of the hot spring mountain village can be influenced.
The existing hot spring villa site selection analysis has the following defects:
(1) Most of the existing analysis of the site selection of the hot spring mountain village aims at analyzing hot spring water, influences of the surrounding environment of the hot spring mountain village on the site selection of the hot spring mountain village are ignored, and further the hot spring water can meet the requirement of construction of the site selection of the hot spring mountain village, but the phenomenon that the surrounding environment of the hot spring mountain village is unsuitable influences the use of the hot spring mountain village, so that cost loss of operators of the hot spring mountain village is caused to a certain extent.
(2) The existing site selection analysis of the hot spring village mostly analyzes the functional aspect of the hot spring water when the hot spring water analysis is carried out so as to meet the curative effect aim of the hot spring water, the attention on the safety analysis of the hot spring water is not high, and then when people with weak body resistance go to the hot spring village for vacation, the people can be possibly harmed by the body and can possibly cause certain infection to people, and then the hot spring village operator needs to bear certain responsibility, so that potential risks are brought to the hot spring village.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides a regional-based health care project construction site selection analysis and evaluation method, which can effectively solve the problems in the background art.
The purpose of the invention can be realized by the following technical scheme:
a construction site selection analysis and evaluation method based on regional health care projects comprises the following steps:
step 1, obtaining the parameters of the hot spring mountain village site selection: dividing the site selection sites of the hot spring villages into sub-site selection sites of the hot spring villages according to a preset zone division mode, further acquiring the longitude and latitude of the sub-site selection sites of the hot spring villages, and acquiring hot spring water quality parameters, wherein the hot spring water quality parameters comprise a ph value, turbidity, total bacterial count, content of various ions and content of various trace elements beneficial to a human body;
step 2, analyzing the quality of hot spring water: analyzing the clean coefficient and the optimum coefficient of the hot spring water quality through the hot spring water quality parameters, and analyzing the proper coefficient of the hot spring water quality according to the above;
step 3, analyzing feasibility of the site selection of the hot spring villa: analyzing the feasibility of the site selection of the hot spring village through the longitude and latitude of the sub-area of the site selection of each hot spring village, and further obtaining a feasible coefficient corresponding to the site selection of the hot spring village;
step 4, analyzing the rainfall suitability of the site selection of the hot spring mountain village: analyzing rainfall of the sub-area of each hot spring mountain village site selection, and further obtaining the rainfall suitability corresponding to the hot spring mountain village site selection;
step 5, analyzing the temperature suitability of the site selection of the hot spring villa: analyzing the temperature suitability of the sub-area of the site selection of each hot spring mountain village, and comprehensively analyzing the temperature suitability corresponding to the site selection of the hot spring mountain village according to the temperature suitability;
step 6, analyzing comprehensive evaluation coefficients of the hot spring mountain village site selection site: and analyzing the comprehensive evaluation coefficient of the site selection of the hot spring villa according to the water quality suitability coefficient of the hot spring villa, the feasible coefficient corresponding to the site selection of the hot spring villa, the rainfall suitability and the temperature suitability.
Further, the concrete steps of analyzing the clean coefficient of the hot spring water quality in the step 2 are as follows:
step 211: extracting a ph value, turbidity and total number of bacteria from the hot spring water quality parameters, respectively comparing the ph value, turbidity and total number of bacteria with proper ph values, allowable turbidity and total number of bacteria threshold values stored in a hot spring village health item database, and analyzing the ph proper value, turbidity proper value and total number of bacteria proper value of the hot spring water quality according to the values, wherein the calculation formula is as follows:
wherein d is 1 、d 2 、d 3 Respectively representing a pH value, a turbidity value and a total bacteria value of the hot spring water, respectively representing a pH value and a suitable pH value of the hot spring water, respectively representing pH values and suitable pH values of the hot spring water, respectively representing TU and TU 'representing the turbidity and allowable turbidity of the hot spring water, respectively representing C and C'Respectively representing the total number of bacteria and the threshold value of the total number of bacteria in the hot spring water, and e representing a natural constant;
step 212, analyzing the clean coefficient of the hot spring water according to the ph proper value, the turbidity proper value and the total number of bacteria proper value of the hot spring water, wherein the calculation formula is as follows:
wherein eta' is expressed as the clean coefficient of the hot spring water quality, delta 1 、δ 2 、δ 3 Respectively expressed as the influence coefficient of the preset pH value of the hot spring water quality, the influence coefficient of the turbidity suitable value and the influence coefficient of the total number of bacteria suitable value, and delta 1 +δ 2 +δ 3 ＝1。
Further, the concrete analysis steps of the quality benefit coefficient of the hot spring water in the step 2 are as follows:
step 221: extracting the content of various ions and the content of various trace elements beneficial to a human body from the hot spring water quality parameters, and respectively numbering the various ions as 1,2,. Multidot.i,. Multidot.n, and respectively numbering the various trace elements as 1,2,. Multidot.x,. Multidot.y;
step 222: extracting appropriate contents corresponding to various ions from a database of the hot spring health-care project;
step 223: analyzing the ion content suitability index corresponding to the hot spring water quality according to the content and the suitable content of various ions, wherein the calculation formula is as follows:
wherein eta 1 Expressed as the proper index of ion content, Q, corresponding to the quality of hot spring water i Expressed as the content of the i-th ion, Q i ' denotes a suitable content of the i-th ion, i denotes the number of the various ions, i =1, 2.., n;
step 224: extracting appropriate contents corresponding to various microelements from a hot spring health item database;
step 225: analyzing the appropriate index of the content of the trace elements corresponding to the hot spring water quality according to the content and the appropriate content of various trace elements, wherein the calculation formula is as follows:
wherein eta 2 Expressed as the appropriate index of the content of the trace elements corresponding to the hot spring water quality q x Expressed as the content of the x-th ion, q x ' denotes a suitable content of the x-th ion, x denotes the number of various trace elements, x =1, 2.., y;
step 226: analyzing the optimal coefficient of the hot spring water quality according to the proper indexes of the ion content and the trace element content corresponding to the hot spring water quality, wherein the calculation formula is as follows:
wherein eta' is expressed as the coefficient of optimum benefit of hot spring water quality, lambda 1 、λ 2 Respectively expressed as weight factor of proper index of ion content and weight factor of proper index of trace element content corresponding to preset hot spring water quality, and lambda 1 +λ 2 ＝1。
Further, the concrete calculation formula of the hot spring water quality suitability coefficient is as follows:
wherein eta is expressed as the coefficient of the quality of hot spring water, chi 1 、χ 2 Respectively expressed as the ratio factor of the clean coefficient of the hot spring water quality, the ratio factor of the good coefficient of the hot spring water quality and chi 1 +χ 2 ＝1。
Further, the concrete analysis steps of the feasible coefficients corresponding to the site selection sites of the hot spring villages in the step 3 are as follows:
step 31: numbering the sub-areas of the selected sites of each hot spring villa as 1,2, h, z;
step 32: acquiring the longitude and latitude of each hot spring mountain village site selection sub-area, comparing the longitude and latitude with a longitude and latitude range corresponding to a construction forbidden area stored in a hot spring mountain village health project database, and recording a hot spring mountain village site selection sub-area as a construction forbidden sub-area if the longitude and latitude of the hot spring mountain village site selection sub-area belongs to the longitude and latitude range corresponding to the construction forbidden area;
step 33: statistical hot spring mountain village site selectionThe number of the sub-areas and the number of the forbidden sub-areas are analyzed, and the feasible coefficient corresponding to the site selection of the hot spring mountain village is analyzed according to the feasible coefficient, wherein the calculation formula is as follows:
wherein mu is the feasible coefficient corresponding to the hot spring mountain village site selection, z is the number of the hot spring mountain village site selection sub-areas, and alpha is the number of the forbidden sub-areas.
Further, the concrete analysis steps of the rainfall suitability corresponding to the site selection of the spa in the step 4 are as follows:
step 41: extracting rainfall of each hot spring mountain site selection sub-area in each preset historical age from a hot spring mountain site health item database, and counting the total rainfall of each historical age of each hot spring mountain site selection sub-area;
step 42: analyzing the historical annual average rainfall capacity of the site selection of the hot spring mountain village according to the total rainfall capacity of each historical annual zone of the sub-region of the site selection of each hot spring mountain village, wherein the calculation formula is as follows:
wherein beta is the annual average rainfall of the historical time of the site selected by the hot spring mountain village, beta hm ' indicating the total rainfall of the selected site sub-area of the h-th hot spring mountain village in the mth historical year, wherein m is the number of each preset historical year, m =1,2,. Multidot.k, h is the number of the selected site sub-area of each hot spring mountain village, and h =1,2,. Multidot.z;
step 43: extracting rainfall of a set season from rainfall of each site selection sub-area of each hot spring mountain village within each preset historical year, further obtaining the rainfall of each set season of each site selection sub-area of each hot spring mountain village corresponding to each historical year, wherein the set season is a hot spring mountain village business prosperous season, and counting the maximum rainfall and the minimum rainfall of each set season of each site selection sub-area of each hot spring mountain village corresponding to each historical year;
step 44: comparing the maximum rainfall capacity of the sub-areas of the site of each hot spring mountain village corresponding to each historical year in a set season, and selecting the maximum rainfall capacity as the maximum rainfall capacity of the sub-areas of the site of each hot spring mountain village in the set season;
step 45: comparing the maximum rainfall of the sub-areas of the site selection sites of the hot spring mountain villages in a set season with each other, and further selecting the maximum as the upper limit value of the rainfall of the site selection sites of the hot spring mountain villages in the set season;
step 46: similarly, analyzing to obtain the lower limit value of the rainfall of the site selected by the hot spring villa in the set season;
step 47: analyzing the rainfall adequacy corresponding to the site selection place of the hot spring villa in the set season according to the rainfall upper limit value and the rainfall lower limit value of the site selection place of the hot spring villa in the set season and the rainfall upper limit warning value and the rainfall lower limit warning value of the hot spring villa in the set season stored in the hot spring villa health item database, wherein the calculation formula is as follows:
wherein kappa represents the rainfall adequacy corresponding to the site of the hot spring villa in the set season, Y Upper part of 、Y Lower part Respectively representing the rainfall upper limit value and the rainfall lower limit value of the hot spring mountain village site in the set season,
respectively representing the upper limit warning value and the lower limit warning value of rainfall amount in the set season of the hot spring mountain village;
and 48: analyzing the rainfall suitability corresponding to the site selection place of the hot spring mountain according to the historical annual average rainfall of the site selection place of the hot spring mountain, the rainfall suitability corresponding to the set season and the safe rainfall of the site selection place of the hot spring mountain stored in a hot spring mountain health item database, wherein the calculation formula is as follows:
wherein omega represents the rainfall suitability corresponding to the site selection of the hot spring mountain village, beta and beta' represent the average rainfall of the historical years of the site selection of the hot spring mountain village and the safe rainfall of the site selection of the hot spring mountain village respectively, A 1 、A 2 Respectively expressed as preset hot spring mountain villageA correction factor of the average rainfall suitability for the historical years of the selected site, a correction factor of the rainfall suitability corresponding to the set season, and A 1 +A 2 ＝1。
Further, the concrete analysis steps of the temperature suitability of the sub-area of the selected address of each hot spring mountain in the step 5 are as follows:
step 51: extracting the temperature of each hot spring village site selection sub-area in each historical year from the hot spring village health item database, and classifying the temperature of each hot spring village site selection sub-area in each historical year according to seasons to obtain each season temperature set corresponding to each historical year in each hot spring village site selection sub-area;
step 52: numbering each season as M 1 、M 2 、M 3 And M 4 Wherein M is 1 M 1 、M 2 、M 3 And M 4 Respectively expressed as spring, summer, autumn and winter;
step 53: extracting the lowest temperature of each season to which each historical year belongs in each hot spring mountain village site sub-area from each season temperature set to which each historical year belongs in each hot spring mountain village site sub-area;
step 54: comparing the lowest temperature of each season to which each historical year belongs in each hot spring mountain village site sub-area, and further selecting the minimum value as the lowest temperature of each season corresponding to each hot spring mountain village site sub-area;
step 55: comparing the lowest temperatures of the sub-areas corresponding to the seasons of the site selection of each hot spring mountain village with each other, and selecting the minimum value as the lower limit value of the temperature of each season corresponding to the site selection of the hot spring mountain village;
step 56: extracting a temperature lower limit warning value of each season corresponding to each sub-region of the site selection of each hot spring mountain village from a hot spring mountain village health item database;
and 57: analyzing the temperature suitability of each hot spring mountain village site selection sub-area according to the temperature lower limit warning value of each season corresponding to each hot spring mountain village site selection sub-area and the temperature lower limit value of each season, wherein the calculation formula is as follows:
wherein ζ h Expressed as the temperature suitability of the sub-area of the address of the h hot spring mountain house,
respectively expressed as the temperature lower limit values of the sub-areas of the selected address of the h hot spring village corresponding to spring, summer, autumn and winter,
respectively representing the lower limit warning values of the temperature corresponding to the spring, summer, autumn and winter in the sub-area of the address selection site of the h hot spring mountain village.
Further, a specific calculation formula of the temperature suitability corresponding to the site selection of the hot spring mountain village is as follows:
wherein zeta represents the temperature suitability corresponding to the site selection of the hot spring mountain village.
Further, the concrete calculation formula of the comprehensive evaluation coefficient of the hot spring mountain village site selection site is as follows:
wherein psi is expressed as the comprehensive evaluation coefficient of the selected site of the hot spring mountain village, gamma 1 、γ 2 、γ 3 、γ 3 Respectively expressed as the influence factor of the water quality suitability coefficient of the hot spring, the influence factor of the feasible coefficient corresponding to the site of the hot spring mountain village, the influence factor of the rainfall suitability, the influence factor of the temperature suitability, and gamma 1 +γ 2 +γ 3 +γ 4 ＝1。
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) The site selection analysis of the hot spring villa can analyze not only hot spring water, but also the surrounding environment of the hot spring villa, thereby avoiding the phenomenon that the hot spring water meets the requirement of site selection construction of the hot spring villa but the surrounding environment of the hot spring villa is not suitable, ensuring the use of the hot spring villa and reducing the cost loss of operators of the hot spring villa to a certain extent.
(2) When the hot spring water is analyzed, on one hand, the functionality of the hot spring water is concerned, on the other hand, the safety of the hot spring water is considered, the curative effect of the hot spring water can be ensured, the problem that people with weak body resistance are possibly harmed when going to a hot spring mountain village is solved, the body health of people is guaranteed to a certain extent, and therefore the potential risk of the hot spring mountain village is reduced.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention provides a method for analyzing and evaluating construction site selection of a health care project based on regionality, which comprises the following steps:
step 1, obtaining the site selection location parameters of the hot spring villa: dividing the hot spring mountain village site selection area into each hot spring mountain village site selection sub-area according to a preset area division mode, further obtaining the longitude and latitude of each hot spring mountain village site selection sub-area, and obtaining hot spring water quality parameters, wherein the hot spring water quality parameters comprise a ph value, turbidity, total bacterial count, content of various ions and content of various trace elements beneficial to a human body;
step 2, analyzing the quality of hot spring water: analyzing the clean coefficient and the optimum coefficient of the hot spring water quality through the hot spring water quality parameters, and analyzing the proper coefficient of the hot spring water quality according to the above;
in a specific embodiment, the step 2 of analyzing the clean coefficient of the hot spring water quality comprises the following specific steps:
step 211: extracting a ph value, turbidity and total number of bacteria from the hot spring water quality parameters, comparing the ph value, turbidity and total number of bacteria with a proper ph value, allowable turbidity and total number of bacteria threshold value stored in a hot spring village health item database respectively, and analyzing the ph proper value, turbidity proper value and total number of bacteria proper value of the hot spring water quality according to the ph proper value, turbidity proper value and total number of bacteria proper value, wherein the calculation formula is as follows:
wherein d is 1 、d 2 、d 3 Respectively representing the ph suitable value, the turbidity suitable value and the total number of bacteria suitable value of the hot spring water quality, respectively representing the ph value and the suitable ph value of the hot spring water quality, respectively representing the turbidity of the hot spring water quality and the allowable turbidity by TU and TU', respectively representing the total number of bacteria and the threshold value of the total number of bacteria in the hot spring water quality, and respectively representing the natural constant by e;
step 212, analyzing the clean coefficient of the hot spring water according to the ph proper value, the turbidity proper value and the total number of bacteria proper value of the hot spring water, wherein the calculation formula is as follows:
wherein eta' is expressed as the clean coefficient of the hot spring water quality, delta 1 、δ 2 、δ 3 Respectively expressed as the influence coefficient of the preset pH value of the hot spring water quality, the influence coefficient of the turbidity proper value and the influence coefficient of the bacteria total number proper value, and delta 1 +δ 2 +δ 3 ＝1。
It should be noted that whether the water quality of the hot spring is clean or not may affect the health of people, and if the clean coefficient of the water quality of the hot spring does not meet the qualified standard, people who may be weak may enter a hot spring mountain to vacate, which may cause certain physical damage to them, so the clean coefficient of the water quality of the hot spring needs to be analyzed.
In a specific embodiment, the specific analysis steps of the quality benefit coefficient of the spa water in the step 2 are as follows:
step 221: extracting the content of various ions and the content of various trace elements beneficial to a human body from the hot spring water quality parameters, and respectively numbering the various ions as 1,2,. Multidot.i,. Multidot.n, and respectively numbering the various trace elements as 1,2,. Multidot.x,. Multidot.y;
step 222: extracting appropriate content corresponding to various ions from a database of the thermal spring health-care project;
step 223: analyzing the ion content suitability index corresponding to the hot spring water quality according to the content and the suitable content of various ions, wherein the calculation formula is as follows:
wherein eta 1 Expressed as the proper index of ion content, Q, corresponding to the quality of hot spring water i Expressed as the content of the i-th ion, Q i ' denotes a suitable content of the i-th ion, i denotes the number of the respective ion, i =1, 2.., n;
step 224: extracting appropriate contents corresponding to various microelements from a hot spring health item database;
step 225: analyzing the appropriate index of the content of the trace elements corresponding to the hot spring water quality according to the content and the appropriate content of various trace elements, wherein the calculation formula is as follows:
wherein eta 2 Expressed as the proper index of the content of the trace elements corresponding to the hot spring water quality, q x Expressed as the content of the x-th ion, q x ' denotes a suitable content of the x-th ion, x denotes the number of various trace elements, x =1, 2.., y;
step 226: analyzing the optimal coefficient of the hot spring water quality according to the proper indexes of the ion content and the trace element content corresponding to the hot spring water quality, wherein the calculation formula is as follows:
wherein eta' represents the optimum coefficient of hot spring water quality, lambda 1 、λ 2 Respectively expressed as weight factor of proper index of ion content and weight factor of proper index of trace element content corresponding to preset hot spring water quality, and lambda 1 +λ 2 ＝1。
It should be noted that the ions and trace elements in the hot spring water are beneficial to human body, but if the contents of the ions and trace elements in the hot spring water are too low or too high, the health-care effect of the hot spring water may be reduced to some extent, and therefore, the contents of the ions and trace elements in the hot spring water need to be analyzed.
In a specific embodiment, the specific calculation formula of the hot spring water quality suitability coefficient is as follows:
wherein eta is expressed as the coefficient of the quality of hot spring water, chi 1 、χ 2 Respectively expressed as the ratio factor of the clean coefficient of the hot spring water quality, the ratio factor of the benefit coefficient of the hot spring water quality, chi 1 +χ 2 ＝1。
When the hot spring water is analyzed, on one hand, the functionality of the hot spring water is concerned, on the other hand, the safety of the hot spring water is considered, the curative effect of the hot spring water can be ensured, the problem that people with weak body resistance are possibly harmed when going to a hot spring mountain village is solved, the body health of people is guaranteed to a certain extent, and therefore the potential risk of the hot spring mountain village is reduced.
Step 3, analyzing feasibility of the site selection of the hot spring villa: analyzing feasibility of the hot spring mountain village site selection area through the longitude and latitude of each hot spring mountain village site selection sub-area, and further obtaining a feasible coefficient corresponding to the hot spring mountain village site selection area;
in a specific embodiment, the specific analysis step of the feasible coefficients corresponding to the site selection of the spa mountain in step 3 is as follows:
step 31: numbering the sub-areas of the selected sites of each hot spring villa as 1,2, h, z;
step 32: acquiring the longitude and latitude of each sub-area of the hot spring mountain farm site selection, comparing the longitude and latitude with the longitude and latitude range corresponding to the construction forbidden area stored in the hot spring mountain farm health project database, and recording the sub-area of the hot spring mountain farm site selection as the construction forbidden sub-area if the longitude and latitude of the sub-area of the hot spring mountain farm site selection belongs to the longitude and latitude range corresponding to the construction forbidden area;
step 33: counting the number of sub-areas of the site selection of the hot spring mountain and the number of forbidden sub-areas, and analyzing the feasible coefficient corresponding to the site selection of the hot spring mountain according to the counted number, wherein the calculation formula is as follows:
wherein mu is expressed as a feasible coefficient corresponding to the site selection of the hot spring village, z is expressed as the number of the sub-areas of the site selection of the hot spring village, and alpha is expressed as the number of the forbidden sub-areas.
It should be noted that the site selection site of the hot spring mountain includes many areas, which may include farmlands and other planning sites, and if the occupation ratio of the farmlands and other planning sites is large, the examination and approval of the site selection site of the hot spring mountain may be affected, which may further cause that the site selection site of the hot spring mountain may not be used as the site selection site of the hot spring mountain, and therefore, the feasible coefficient corresponding to the site selection site of the hot spring mountain needs to be analyzed.
Step 4, analyzing the rainfall suitability of the site selection of the hot spring mountain village: analyzing the rainfall of the sub-area of each site selected by the hot spring villa so as to obtain the rainfall suitability corresponding to the site selected by the hot spring villa;
in a specific embodiment, the specific analysis step of the rainfall adequacy corresponding to the site selected by the spa in step 4 is as follows:
step 41: extracting rainfall of each sub-region of the site of the hot spring village in each preset historical year from a hot spring village health item database, and counting the total rainfall of each historical year of each sub-region of the site of the hot spring village;
step 42: analyzing the average rainfall capacity of the historical years of the site selection sites of the hot spring mountain villages according to the total rainfall capacity of the sub-areas of the site selection sites of the hot spring mountain villages in each historical yearThe calculation formula is as follows:
wherein beta is the annual average rainfall of the historical time of the site selected by the hot spring mountain village, beta hm ' expressing the total rainfall of the ith hot spring mountain village site selection sub-area at the mth historical year, wherein m is the number of each preset historical year, m =1,2, and k, h is the number of each hot spring mountain village site selection sub-area, and h =1,2, and z;
step 43: extracting rainfall of a set season from rainfall of each hot spring mountain village site selection sub-area within each preset historical year, further obtaining the rainfall of the set season corresponding to each historical year of each hot spring mountain village site selection sub-area, wherein the set season is a hot spring mountain village business prosperous season, and counting the maximum rainfall and the minimum rainfall of the set season corresponding to each historical year of each hot spring mountain village site selection sub-area;
note that the set season includes spring, summer, fall, or winter.
And step 44: comparing the maximum rainfall of each hot spring mountain village site selection sub-area corresponding to each historical year in a set season, and further selecting the maximum as the maximum rainfall of each hot spring mountain village site selection sub-area in the set season;
step 45: comparing the maximum rainfall of the sub-areas of the site selection sites of the hot spring mountain villages in a set season with each other, and further selecting the maximum as the upper limit value of the rainfall of the site selection sites of the hot spring mountain villages in the set season;
step 46: similarly, analyzing to obtain the lower limit value of the rainfall of the site selected by the hot spring villa in the set season;
step 47: analyzing the rainfall adequacy corresponding to the site selection place of the hot spring villa in the set season according to the rainfall upper limit value and the rainfall lower limit value of the site selection place of the hot spring villa in the set season and the rainfall upper limit warning value and the rainfall lower limit warning value of the hot spring villa in the set season stored in the hot spring villa health item database, wherein the calculation formula is as follows:
wherein kappa represents the rainfall suitability corresponding to the site of the hot spring mountain village in the set season, and Y represents On the upper part 、Y Lower part Respectively representing the rainfall upper limit value and the rainfall lower limit value of the hot spring mountain village site in the set season,
respectively representing the upper limit warning value and the lower limit warning value of rainfall amount in the set season of the hot spring mountain village;
and 48: analyzing the rainfall suitability corresponding to the site selection place of the hot spring mountain according to the historical annual average rainfall of the site selection place of the hot spring mountain, the rainfall suitability corresponding to the set season and the safe rainfall of the site selection place of the hot spring mountain stored in a hot spring mountain health item database, wherein the calculation formula is as follows:
wherein omega represents the rainfall suitability corresponding to the site selection of the hot spring mountain village, beta and beta' represent the average rainfall of the historical years of the site selection of the hot spring mountain village and the safe rainfall of the site selection of the hot spring mountain village respectively, A 1 、A 2 Respectively expressed as a correction factor of the average rainfall suitability of the historical years of the preset hot spring mountain village site, a correction factor of the rainfall suitability corresponding to the set season, and A 1 +A 2 ＝1。
When the rainfall suitability corresponding to the site selection of the hot spring villa is analyzed, not only is the historical annual average rainfall of the site selection of the hot spring villa analyzed, but also the rainfall suitability corresponding to the set season of the site selection of the hot spring villa is analyzed, when the rainfall suitability corresponding to the set season of the site selection of the hot spring villa is analyzed, whether the maximum rainfall and the minimum rainfall of the set season of the site selection of the hot spring are in accordance with the requirements or not is analyzed, if the maximum rainfall and the minimum rainfall are not in accordance with the requirements, the quality of hot water and the trip will of people are influenced, and the rainfall suitability corresponding to the site selection of the hot spring villa is analyzed from two aspects, so that the analysis aspect is more accurate.
Step 5, analyzing the temperature suitability of the site selection site of the hot spring mountain village: analyzing the temperature suitability of the sub-area of the site selection of each hot spring mountain village, and comprehensively analyzing the temperature suitability corresponding to the site selection of the hot spring mountain village according to the temperature suitability;
in one embodiment, the specific analysis step of the temperature suitability of the sub-area of the selected site of each hot spring mountain village in the step 5 is as follows:
step 51: extracting the temperature of each hot spring mountain site selection sub-area in each historical year from a hot spring mountain health item database, and classifying the temperature of each hot spring mountain site selection sub-area in each historical year according to seasons to obtain a temperature set of each hot spring mountain site selection sub-area corresponding to each season in each historical year;
step 52: numbering each season as M 1 、M 2 、M 3 And M 4 Wherein M is 1 M 1 、M 2 、M 3 And M 4 Respectively expressed as spring, summer, fall and winter;
step 53: extracting the lowest temperature of each season to which each historical year belongs in each hot spring mountain village site selection sub-area from each season temperature set to which each historical year belongs in each hot spring mountain village site selection sub-area;
step 54: comparing the lowest temperature of each season to which each historical year belongs in each hot spring mountain village site sub-area, and further selecting the minimum value as the lowest temperature of each season corresponding to each hot spring mountain village site sub-area;
step 55: comparing the lowest temperature of each season corresponding to each hot spring mountain village site selection sub-area, and further selecting the minimum value as the lower limit value of the temperature of each season corresponding to the hot spring mountain village site selection;
step 56: extracting a temperature lower limit warning value of each season corresponding to each hot spring mountain site selection sub-area from a hot spring mountain health item database;
and step 57: analyzing the temperature suitability of each hot spring mountain village site selection sub-area according to the temperature lower limit warning value of each season corresponding to each hot spring mountain village site selection sub-area and the temperature lower limit value of each season, and calculating the formulaComprises the following steps:
wherein ζ h Expressed as the temperature suitability of the sub-area of the address of the h hot spring mountain house,
respectively expressed as the lower limit values of the temperature of the sub-area of the address selection of the h hot spring mountain village corresponding to spring, summer, autumn and winter,
respectively representing the lower limit warning values of the temperature corresponding to the spring, summer, autumn and winter in the sub-area of the address selection site of the h hot spring mountain village.
In a specific embodiment, the specific calculation formula of the temperature suitability corresponding to the selected address of the hot spring mountain is as follows:
wherein
Is expressed as the temperature suitability corresponding to the site selection of the hot spring mountain.
It should be noted that, too low temperature may affect the activity of the hot spring water and certain influence on the quality of the hot spring water, and may also affect the trip desire of people, so that the adaptation index of the lower temperature limit value corresponding to the sub-region of the selected site of each hot spring mountain village needs to be analyzed.
Step 6, analyzing comprehensive evaluation coefficients of the hot spring mountain village site selection site: analyzing the comprehensive evaluation coefficient of the site selection of the hot spring mountain according to the water quality suitability coefficient of the hot spring mountain, the feasible coefficient corresponding to the site selection of the hot spring mountain, the rainfall suitability and the temperature suitability;
in a specific embodiment, the specific calculation formula of the comprehensive evaluation coefficient of the hot spring mountain village site selection site is as follows:
wherein psi is indicated as hot spring mountainComprehensive evaluation coefficient of site selection, gamma 1 、γ 2 、γ 3 、γ 3 Respectively expressed as the influence factor of the hot spring water quality suitability coefficient, the influence factor of the feasible coefficient corresponding to the site of the hot spring village, the influence factor of the rainfall suitability degree, the influence factor of the temperature suitability degree, and gamma 1 +γ 2 +γ 3 +γ 4 ＝1。
The site selection analysis of the hot spring villa can analyze not only hot spring water, but also the surrounding environment of the hot spring villa, thereby avoiding the phenomenon that the hot spring water meets the requirement of site selection construction of the hot spring villa but the surrounding environment of the hot spring villa is not suitable, ensuring the use of the hot spring villa and reducing the cost loss of operators of the hot spring villa to a certain extent.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A health project construction site selection analysis and evaluation method based on regionality is characterized by comprising the following steps:
step 1, obtaining the parameters of the hot spring mountain village site selection: dividing the hot spring mountain village site selection area into each hot spring mountain village site selection sub-area according to a preset area division mode, further obtaining the longitude and latitude of each hot spring mountain village site selection sub-area, and obtaining hot spring water quality parameters, wherein the hot spring water quality parameters comprise a ph value, turbidity, total bacterial count, content of various ions and content of various trace elements beneficial to a human body;
step 2, analyzing the quality of hot spring water: analyzing the clean coefficient and the optimal coefficient of the hot spring water quality through the hot spring water quality parameters, and analyzing the proper coefficient of the hot spring water quality according to the optimal coefficient;
step 3, feasibility analysis of the hot spring mountain village site selection: analyzing feasibility of the hot spring mountain village site selection area through the longitude and latitude of each hot spring mountain village site selection sub-area, and further obtaining a feasible coefficient corresponding to the hot spring mountain village site selection area;
step 4, analyzing the rainfall suitability of the site selection of the hot spring mountain village: analyzing the rainfall of the sub-area of each site selected by the hot spring villa so as to obtain the rainfall suitability corresponding to the site selected by the hot spring villa;
step 5, analyzing the temperature suitability of the site selection of the hot spring villa: analyzing the temperature suitability of the sub-area of the site selected by each hot spring villa, and comprehensively analyzing the temperature suitability corresponding to the site selected by the hot spring villa according to the temperature suitability;
step 6, analyzing comprehensive evaluation coefficients of the hot spring mountain village site selection site: and analyzing the comprehensive evaluation coefficient of the site selection of the hot spring mountain according to the water quality suitability coefficient of the hot spring mountain, the feasible coefficient corresponding to the site selection of the hot spring mountain, the rainfall suitability and the temperature suitability.
2. The regional-based health care project construction site selection analysis and evaluation method according to claim 1, wherein the method comprises the following steps: the concrete steps of analyzing the clean coefficient of the hot spring water quality in the step 2 are as follows:
step 211: extracting a ph value, turbidity and total number of bacteria from the hot spring water quality parameters, comparing the ph value, turbidity and total number of bacteria with a proper ph value, allowable turbidity and total number of bacteria threshold value stored in a hot spring village health item database respectively, and analyzing the ph proper value, turbidity proper value and total number of bacteria proper value of the hot spring water quality according to the ph proper value, turbidity proper value and total number of bacteria proper value, wherein the calculation formula is as follows:
wherein d is 1 、d 2 、d 3 Respectively representing a ph proper value, a turbidity proper value and a total number of bacteria proper value of the hot spring water, respectively representing ph and ph ' of the hot spring water, respectively representing TU and TU ' of the hot spring water, respectively representing the turbidity of the hot spring water and the allowable turbidity, respectively representing C and C ' of the hot spring water, respectively representing the total number of bacteria and a threshold value of the total number of bacteria, and e representing a natural constant;
step 212, analyzing the clean coefficient of the hot spring water according to the ph proper value, the turbidity proper value and the total number of bacteria proper value of the hot spring water, wherein the calculation formula is as follows:
wherein eta' is expressed as the clean coefficient of the hot spring water quality, delta 1 、δ 2 、δ 3 Respectively expressed as the influence coefficient of the preset pH value of the hot spring water quality, the influence coefficient of the turbidity proper value and the influence coefficient of the bacteria total number proper value, and delta 1 +δ 2 +δ 3 ＝1。
3. The regional health care project construction site selection analysis and evaluation method based on claim 2, characterized in that: the concrete analysis steps of the quality benefit coefficient of the spa water in the step 2 are as follows:
step 221: extracting the content of various ions and the content of various trace elements beneficial to a human body from the hot spring water quality parameters, and respectively numbering the various ions as 1,2,. Multidot.i,. Multidot.n, and respectively numbering the various trace elements as 1,2,. Multidot.x,. Multidot.y;
step 222: extracting appropriate content corresponding to various ions from a database of the thermal spring health-care project;
step 223: analyzing the ion content suitability index corresponding to the hot spring water quality according to the content and the suitable content of various ions, wherein the calculation formula is as follows:
wherein eta 1 Expressed as the proper index of ion content, Q, corresponding to the quality of hot spring water i Expressed as the content of the i-th ion, Q i ' denotes a suitable content of the i-th ion, i denotes the number of the various ions, i =1, 2.., n;
step 224: extracting appropriate contents corresponding to various microelements from a hot spring health item database;
step 225: analyzing the appropriate index of the trace element content corresponding to the hot spring water quality according to the content and the appropriate content of various trace elementsThe calculation formula is as follows:
wherein eta 2 Expressed as the appropriate index of the content of the trace elements corresponding to the hot spring water quality q x Expressed as the content of the x-th ion, q x ' denotes a suitable content of the x-th ion, x denotes the number of various trace elements, x =1, 2.., y;
step 226: analyzing the optimal coefficient of the hot spring water quality according to the proper indexes of the ion content and the trace element content corresponding to the hot spring water quality, wherein the calculation formula is as follows:
wherein eta' is expressed as the coefficient of optimum benefit of hot spring water quality, lambda 1 、λ 2 Respectively expressed as weight factor of proper ion content index and weight factor of proper microelement content index corresponding to preset hot spring water quality, and lambda 1 +λ 2 ＝1。
4. The regional health care project construction site selection analysis and evaluation method based on claim 3, characterized in that: the concrete calculation formula of the hot spring water quality suitability coefficient is as follows:
wherein eta represents the proper coefficient of hot spring water quality, chi 1 、χ 2 Respectively expressed as the ratio factor of the clean coefficient of the hot spring water quality, the ratio factor of the good coefficient of the hot spring water quality and chi 1 +χ 2 ＝1。
5. The regional health care project construction site selection analysis and evaluation method based on claim 4, characterized in that: the concrete analysis steps of the feasible coefficients corresponding to the moderate-temperature spring mountain village site selection in the step 3 are as follows:
step 31: numbering the sub-areas of the selected sites of each hot spring villa as 1,2, h, z;
step 32: acquiring the longitude and latitude of each sub-area of the hot spring mountain farm site selection, comparing the longitude and latitude with the longitude and latitude range corresponding to the construction forbidden area stored in the hot spring mountain farm health project database, and recording the sub-area of the hot spring mountain farm site selection as the construction forbidden sub-area if the longitude and latitude of the sub-area of the hot spring mountain farm site selection belongs to the longitude and latitude range corresponding to the construction forbidden area;
step 33: counting the number of sub-areas of the site selection of the hot spring mountain and the number of forbidden sub-areas, and analyzing the feasible coefficient corresponding to the site selection of the hot spring mountain according to the counted number, wherein the calculation formula is as follows:
wherein mu is the feasible coefficient corresponding to the hot spring mountain village site selection, z is the number of the hot spring mountain village site selection sub-areas, and alpha is the number of the forbidden sub-areas.
6. The regional health care project construction site selection analysis and evaluation method based on claim 5, characterized in that: the specific analysis steps of the rainfall suitability corresponding to the site selection of the moderate-temperature spring villa in the step 4 are as follows:
step 41: extracting rainfall of each hot spring mountain site selection sub-area in each preset historical age from a hot spring mountain site health item database, and counting the total rainfall of each historical age of each hot spring mountain site selection sub-area;
step 42: analyzing the average rainfall capacity of the historical years of the site selection sites of the hot spring mountain village according to the total rainfall capacity of the sub-areas of the site selection sites of the hot spring mountain village in each historical year, wherein the calculation formula is as follows:
wherein beta is the annual average rainfall of the historical time of the site selected by the hot spring mountain village, beta hm ' expressing the total rainfall of the ith hot spring mountain village site selection sub-area at the mth historical year, wherein m is the number of each preset historical year, m =1,2, and k, h is the number of each hot spring mountain village site selection sub-area, and h =1,2, and z;
step 43: extracting rainfall of a set season from rainfall of each hot spring mountain village site selection sub-area within each preset historical year, further obtaining the rainfall of the set season corresponding to each historical year of each hot spring mountain village site selection sub-area, wherein the set season is a hot spring mountain village business prosperous season, and counting the maximum rainfall and the minimum rainfall of the set season corresponding to each historical year of each hot spring mountain village site selection sub-area;
and step 44: comparing the maximum rainfall of each hot spring mountain village site selection sub-area corresponding to each historical year in a set season, and further selecting the maximum as the maximum rainfall of each hot spring mountain village site selection sub-area in the set season;
step 45: comparing the maximum rainfall capacity of the sub-areas of the site selection of each hot spring mountain village in a set season with each other, and further selecting the maximum value as the upper limit value of the rainfall capacity of the site selection of the hot spring mountain village in the set season;
step 46: similarly, analyzing to obtain the lower limit value of the rainfall of the site selected by the hot spring villa in the set season;
step 47: analyzing the rainfall suitability corresponding to the hot spring mountain site selection site in the set season according to the rainfall upper limit value and the rainfall lower limit value of the hot spring mountain site selection site in the set season and the rainfall upper limit warning value and the rainfall lower limit warning value of the hot spring mountain site setting season stored in the hot spring mountain site health item database, wherein the calculation formula is as follows:
wherein kappa represents the rainfall adequacy corresponding to the site of the hot spring villa in the set season, Y On the upper part 、Y Lower part Respectively representing the rainfall upper limit value and the rainfall lower limit value of the hot spring mountain village site in the set season,
respectively representing the upper limit warning value and the lower limit warning value of rainfall in the season set for the hot spring villa;
and 48: average rainfall according to historical years of hot spring mountain village site selectionThe rainfall suitability corresponding to the quantity and the set season and the safe rainfall suitability corresponding to the site selection place of the hot spring mountain which is stored in the hot spring mountain health item database are analyzed, and the calculation formula is as follows:
wherein omega represents the rainfall suitability corresponding to the site selection of the hot spring mountain village, beta and beta' represent the average rainfall of the historical years of the site selection of the hot spring mountain village and the safe rainfall of the site selection of the hot spring mountain village respectively, A 1 、A 2 Respectively expressed as a correction factor of the average rainfall suitability of the historical years of the preset site of the hot spring mountain village, a correction factor of the rainfall suitability corresponding to the set season, and A 1 +A 2 ＝1。
7. The method for analyzing and evaluating construction site selection of health care projects based on regionality according to claim 6, wherein: the specific analysis steps of the temperature suitability of the sub-area of the selected site of each hot spring villa in the step 5 are as follows:
step 51: extracting the temperature of each hot spring mountain site selection sub-area in each historical year from a hot spring mountain health item database, and classifying the temperature of each hot spring mountain site selection sub-area in each historical year according to seasons to obtain a temperature set of each hot spring mountain site selection sub-area corresponding to each season in each historical year;
step 52: numbering each season as M 1 、M 2 、M 3 And M 4 Wherein M is 1 M 1 、M 2 、M 3 And M 4 Respectively expressed as spring, summer, fall and winter;
step 53: extracting the lowest temperature of each season to which each historical year belongs in each hot spring mountain village site sub-area from each season temperature set to which each historical year belongs in each hot spring mountain village site sub-area;
step 54: comparing the lowest temperature of each season to which each historical year belongs in each hot spring mountain village site sub-area, and further selecting the minimum value as the lowest temperature of each season corresponding to each hot spring mountain village site sub-area;
step 55: comparing the lowest temperatures of the sub-areas corresponding to the seasons of the site selection of each hot spring mountain village with each other, and selecting the minimum value as the lower limit value of the temperature of each season corresponding to the site selection of the hot spring mountain village;
step 56: extracting a temperature lower limit warning value of each season corresponding to each sub-region of the site selection of each hot spring mountain village from a hot spring mountain village health item database;
and 57: analyzing the temperature suitability of each hot spring mountain village site selection sub-area according to the temperature lower limit warning value of each season corresponding to each hot spring mountain village site selection sub-area and the temperature lower limit value of each season, wherein the calculation formula is as follows:
wherein ζ h Expressed as the temperature suitability of the sub-area of the site selected by the h hot spring village,
respectively expressed as the temperature lower limit values of the sub-areas of the selected address of the h hot spring village corresponding to spring, summer, autumn and winter,
respectively representing the lower limit warning values of the temperature corresponding to the sub-region of the site selected by the h hot spring villa in spring, summer, autumn and winter.
8. The regional-based health care project construction site selection analysis and evaluation method according to claim 7, wherein the method comprises the following steps: the specific calculation formula of the temperature suitability corresponding to the site selection of the hot spring mountain village is as follows:
wherein
Is expressed as the temperature suitability corresponding to the site selection of the hot spring mountain.
9. The method according to claim 8, wherein the method comprises the following steps: the concrete calculation formula of the comprehensive evaluation coefficient of the hot spring mountain village site selection is as follows:
wherein psi is expressed as the comprehensive evaluation coefficient of the site selection of the hot spring mountain village, gamma 1 、γ 2 、γ 3 、γ 3 Respectively expressed as the influence factor of the water quality suitability coefficient of the hot spring, the influence factor of the feasible coefficient corresponding to the site of the hot spring mountain village, the influence factor of the rainfall suitability, the influence factor of the temperature suitability, and gamma 1 +γ 2 +γ 3 +γ 4 ＝1。
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