| The remaining natural mountains in the mountainous cities of Guizhou have unique green vision landscape resources.However,with the rapid development of urbanization,the urban population has increased rapidly,and living and working at high altitudes have made people have more and more demand for green vision perception of the living environment.The remaining natural mountains can better provide three-dimensional green vision services than urban green spaces.In order to explore the spatial characteristics of green vision perception and service efficiency of the remaining natural mountain in the central Guizhou city,this study takes Guiyang,a typical karst mountain city as the research object,and uses the landscape pattern index method and GIS spatial characteristic analysis to analyze the urban remaining natural mountain landscape.Develop a systematic study on the spatial characteristics of the pattern,with a view to revealing the spatial characteristics of the natural mountains remaining in the mountainous cities of central Guizhou;use the combination of 3D map software modeling and field surveys to investigate the surrounding building floors of the natural mountains,use the green vision theory,buffer analysis,Spatial clustering and other theories and methods,measure the amount of green vision of natural mountains,and ascertain the spatial distribution of green vision of natural mountains;adopt AHP-entropy combination weighting method,Pearson correlation analysis and other methods to measure urban residents' influence on surrounding natural mountains Green Vision service performance perception characteristics,and analysis of the interaction relationship between the mountain green vision service performance indicators.The results of the study are as follows:(1)The highest patch density(PD)value of urban remains of mountain green space in the built-up area of Guiyang is 8.53;the separation index(SPLIT)value is5592.76,which is higher than that of urban construction land;the average patch proximity index(CONTIG?MN)value is the largest 0.91,The aggregation degree(AI)value is also the highest,95.61%,and the Shannon diversity index,Shannon evenness index,spread index,spread and ties index are 1.43,0.80,51.35 and75.00,respectively.At the urban scale,the area of mountain patches has significant clustering characteristics,but the spatial correlation is relatively weak.On a local scale,the distribution characteristics of the large and super large natural mountains are obvious,and the small and medium natural mountains have no significant spatial aggregation.The distribution range of agglomeration and distribution between mountains with relatively high and low mountain patches is relatively unstable.The low values of the relative height of the urban remains of natural mountains are mainly distributed in the north of Baiyun District,the north of Guanshan Lake District and the south of Huaxi District.(2)In the horizontal dimension,the mean value of green perception index is18.79% ± 9.11%.The average green visual index of 9 natural mountain floors is30.31%±11.52%,The lowest green vision index was NM5(17.13%)and the highest was NM8(46.53%);In the horizontal dimension near the ground,the visibility of natural mountain green landscape decreases with the increase of buffer distance.The larger the buffer step,the more obvious the possibility of building occlusion;In the vertical dimension,the green vision of the floor decreases with the increase of the vertical height.Among them,when the vertical spatial gradient is 36 m,the downward trend of floor green vision in vertical gradient space is the most obvious;The buildings around the mountain are concentrated in a small spatial scale,and the architectural pattern is "discrete aggregation" coupling distribution with the increase of spatial scale.(3)The occupational,income and ethnic groups of the residents around the country had significant differences in the preference for the service efficiency of the mountain green vision;The service efficiency of the city remains of the natural mountain green vision has obvious spatial matching.In the horizontal gradient space,the urban residents' perception of the service efficiency of the natural mountain green vision is negatively correlated,and the perception of the service efficiency of the natural mountain green vision decreases with the distance;In vertical gradient space,the residents of different floors have positive correlation with the service efficiency of natural mountain green vision,and the service efficiency perception of natural mountain green vision increases with the increase of floor height;the order of importance weight of the various factors that affect the efficiency of urban mountain green vision services is: mountain vegetation status(C9)> mountain green coverage(C8)>Seasonal changes(C10)>Space comfort(C7)>Space anti-interference(C6)>Resident demand(C5)>Sight distance(C1)>Resident impression(C3)>Resident perception(C4)>Floor height(C2);Space anti-interference(C6)and building height(C2),mountain vegetation status(C9)and mountain green coverage(C8),space anti-interference(C6)and residents impression(C3),space comfort(C7)And residents' impression(C3),residents' perception(C4)and other indicators are spatially related,and the two relationships are both positively related.The comprehensive evaluation result of mountain green vision perception service efficiency is NM7(natural mountain on the northeast side of Shangshan Yujing)>NM9(natural mountain on the southeast side of Vanke Yunyan Metropolis)>NM8(natural mountain on the west side of Tanxi Valley)>NM5(natural mountain of Honolulu Mountain)> NM3(Natural mountain on the east side of Mingcheng Jingyiyuan)>NM2(Natural mountain on the east side of Shangshan Yujing)>NM1(Darenshan natural mountain)> NM4(Natural mountain of Guanshan Lake District Center for Disease Control and Prevention)>NM6(Jinxiu Mountain natural body). |
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