| With the rapid development of the tourism industry,the number of the development of the scenic spot is increasing year by year,and its landscape quality is more and more concerned.It is an important part of the tourism and leisure of the Beijing-Tianjin-Hebei region.Therefore,it is of great significance to evaluate the quality of the landscape characteristics of the mountain scenic area in the southern Hebei province,and it is of great significance to improve the leisure tourism quality of the residents in the Beijing-Tianjin-Hebei region.Located in the western mountain area of Xingtai,Tianhe Mountain Scenic spot has not only the features of gorge landform and water system,but also the unique cultural theme of Qixi Festival,and has comprehensive landscape resource characteristics of mountain scenic spots in southern Hebei Province.Therefore,this paper selects Tianhe Mountain Scenic spot as the research sample,carries on the landscape composition factor,the landscape evaluation,the landscape optimization strategy and so on,uses the SD method to carry on the landscape characteristic appraisal,and so on.In order to further study how to more scientific and reasonable development and construction of mountain scenic spots in southern Hebei.This article is divided into three parts:The first part includes the first chapter and the second chapter,which introduces the research background,the purpose and significance of the research,the status quo of the relevant research at home and abroad,as well as the related concepts and theoretical basis involved in this study.The second part includes the third chapter,the fourth chapter,carries on the on-the-spot investigation to the Tianhe Mountain scenic spot,investigates its geographical location,the humanities history,the natural condition and so on present situation.The landscape elements of the scenic spot are summarized and analyzed according to the landscape context elements at the macro level,the landscape spatial elements at the meso-level and the landscape features at the micro-level.In view of the natural landscape and artificial landscape typical scenic spots at the micro-level,the SD method is used to evaluate the psychological perception,refine and quantify the landscape features,and analyze the evaluation results of the landscape characteristics of each sample.According to the evaluation factors,the factors which have great influence on the quality of landscape characteristics are obtained by factor analysis.Naturalscenery The influence factors of view are sensory factor,vegetation factor and atmosphere factor,the influence factor of artificial landscape is environmental factor and humanistic factor,and the calculation formula of the evaluation value of the theoretical characteristics of natural landscape and artificial landscape.The third part includes the fifth chapter of this paper.According to the results of landscape characteristics evaluation of 15 landscape nodes,the causes of the problems are analyzed,and the optimization strategies of increasing vegetation diversity,building a unified architectural style and reflecting the cultural theme of scenic spots are put forward.And make a schematic diagram and detailed explanation.According to the problems found in the evaluation of landscape characteristics of Tianhe Mountain Scenic spot,the optimization strategies of the rest landscape of Tianhe Mountain Scenic spot are summarized through a small part,which provides a reference for the landscape construction of Mountain Scenic spot in Southern Hebei Province.This paper analyzes and studies the landscape evaluation of Tianhe Mountain Scenic spot by the way of intersection of landscape and statistics,and puts forward the corresponding optimization strategy and design according to the result of landscape characteristic evaluation.However,the evaluation method in this paper is only SD method,and the evaluation sample only involves the main tourist routes.The evaluation of landscape characteristics of Tianhe Mountain Scenic spot is not comprehensive enough,which needs to be further studied. |
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