Research On The Method Of Mapping Local Climate Zones In Wuhan City Based On Cognitive Experiments And GIS Data Analysis

The world urban database and access portal tools(wudapt)level 0 method is the fastest and most widely used Local Climate Zones(LCZs)mapping method based on machine learning.Under the overall trend of global warming and urbanization,urban morphology information is crucial for urban climate application,urban planning and design,and future improvement of urban living environment.In developing countries in particular,maps of Local Climate Zones(LCZ)derived from high-resolution and reliable urban topographic maps can provide advice for urban planning and urban design.However,since the WUDAPT 0 level method is a supervised classification,when it is applied to Asian cities with relatively complex spatial morphology,the Overall Accuracy(OA)of the LCZ map is low,and the influence of human’s subjective cognition on all aspects of the WUDAPT L0 mapping process is still not clear.In this study,Wuhan,a typical heterogeneous city in China,was selected to design a cognitive experiment to assess the impact of operator’s knowledge of the Training Area(TA)on the Overall Accuracy(OA)of LCZ mapping based on the WUDAPT L0 method.Two groups of experiments were set up,LCZ standard class and the research of adding subclasses to the standard class.Through the horizontal and vertical comparison of the results of the two groups of experiments,according to the experimental conclusions,the pre-recognition process was added,and an improved WUDAPT L0 workflow based on cognitive experiments was proposed.The local climate map of Wuhan City is improved to improve the accuracy by the data analysis method of geographic information system(GIS).The Land Surface Temperature(LST)is analyzed by GIS software.The accuracy of the local climate map is verified by the new method proposed in this paper.Then in the discussion of the feasibility of the experiment,the GIS data analysis method calculates the related geometry and land cover attributes of the heterogeneous chinese cities and derives the urban morphology characteristics of wuhan.This paper provides an effective method based on the combination of cognitive experiments and GIS data for accurately drawing LCZ map of heterogeneous cities,which can effectively increase the rendering accuracy.A set of scheme applicable to most areas of our country is summed up by comparison.Help researchers to better choose different LCZ mapping methods according to different urban forms.Finally,the new method of mapping wuhan city to local climate zone map is used to locate the hot spots in the urban environment.then,the hot spots of the more accurate local climate zone map finally drawn based on the new combination method are analyzed.due to the different degrees of heat,the hot spots are divided into high,medium and low heat zones.then,several regions of the high heat zone are selected for key analysis.finally,the optimization suggestions for effectively alleviating the impact of local high temperature on people are put forward in combination with the field landscape.This paper provides a new LCZ mapping method based on the combination of cognitive experiments and GIS data for heterogeneous cities,which can better promote the LCZ mapping method in China.At the same time,the mapping process can be flexibly deleted,and the scheme of different local climate zone mapping methods can be selected according to the specific urban morphology.The new mapping method of local climate zones can further promote the promotion of local climate zones in heterogeneous cities and the related applications in urban planning and urban climate.