Analysis Of Maximum Variation Of Characteristics Of Surface Water Temperature Of The Main Lakes In Tibet And The Development Of Its Visualization Platform

As the connection point of the interaction of various circles in the surface layer system,lakes play an indispensable role in the process of economic development and change,and their watersheds are also important activity areas for human survival.Lake surface water temperature is a key physical factor affecting the change of lake water ecological environment,and has a great adjustment effect on the ecological environment of lakes,especially in plateau lakes,which are known as sensitive indicators of climate change,and the response of lake surface water temperature to climate change It is more sensitive,and its changes will have a very significant impact on the climate diversity,species richness and cultural diversity in the plateau area.The change of the maximum lake surface water temperature will affect the ecosystem structure and function,metabolic rate,The impact of species survival rate is more profound,and will have an impact on the habitable environment of human beings.Therefore,it is the basic guarantee to protect and regulate the water ecological environment to carry out the analysis and research on the change process of the maximum lake surface water temperature.In order to improve the accuracy of lake surface water temperature data,this study wrote a remote sensing image data processing algorithm based on the python programming language,randomly setting missing values of different proportions,using Kriging,inverse distance weighting(IDW),spline function method(Spline)),natural neighbor method(Natural Neighbor)and trend surface method(Trend)five interpolation methods are used to analyze and verify the accuracy of the interpolation results for missing values of different proportions,build a lake surface water temperature interpolation method,supplement missing data,and improve the accuracy of missing data.Interpolation precision.Taking the main plateau lakes in Tibet as the research area,and based on the MOD11A1 daily average surface temperature product data and lake basin meteorological station data(temperature,precipitation,sunshine hours,evaporation)in the summer of 2002-2021,The least squares linear regression method,MK trend and mutation test and Pearson correlation and other mathematical statistics methods were used to analyze the changing trend,significance,mutation and correlation of the maximum surface water temperature of major lakes in Tibet and the maximum value of meteorological factors in the basin during the summer of 2002-2021.Variation analysis was carried out.The error size of the interpolation method is verified with different proportions of verification points,and the lake surface water temperature interpolation method is constructed according to the principle of minimum error fill up.The research results show that from 2002 to 2021,the maximum surface water temperature of the lakes showed a downward trend except for Namtso and Taraco,which increased at a rate of 0.002°C/year and 0.0686°C/year,respectively,while the six lakes showed a downward trend.The maximum temperature of lakes showed an upward trend.The temperature difference between the maximum air temperature and the maximum water temperature in the other five lakes all showed an upward trend,except for Taruocuo,which decreased at a rate of-0.0274 °C/year.The three lakes of Zarinanmu Co,Anglaren Co and Dangye Yong Co showed a trend of increasing the maximum daily precipitation and decreasing the maximum surface temperature of the lakes,and the other three lakes showed the same trend of change.Four lakes showed a trend of decreasing the maximum water temperature with the increase of sunshine hours;only the maximum surface water temperature and the maximum sunshine hours of Selincuo Lake decreased.Except for Selin Co and Anlaren Co,the change trends of the maximum surface water temperature and the maximum evaporation of the other four lakes are inconsistent.The mutation analysis shows that the mutation time of the maximum surface water temperature of Selin Co and Zarinanmu Co lakes is consistent,and the mutation time of the maximum water temperature of other lakes is inconsistent;It is consistent with the great evaporation;Namtso's abrupt change of lake surface water temperature during 2008-2009 is consistent with the maximum temperature;Dangjayongcuo's sudden change of lake surface water temperature maximum during 2005-2006 is consistent with the maximum temperature and precipitation Consistent.The correlation analysis shows that the maximum surface water temperature of Namtso Lake in summer has a strong correlation with air temperature and large evaporation(P<0.05);There is a strong negative correlation;the correlation between the maximum surface water temperature of other lakes and the four meteorological factors is weak.Finally,based on the object-oriented programming language JAVA,IDEA(Intelli J IDEA)integrated development environment,relational database My SQL,with the help of ECharts chart technology,combined with Auto Navi map,Microsoft Office,SPSS and other component interfaces,the process of changing the maximum lake surface water temperature is carried out.The visualization platform is developed to realize the storage,query,calculation and statistical analysis of lake surface water temperature data and meteorological data.