| Surface temperature is a good indicator of the energy balance of the earth's surface and the greenhouse effect.It has a wide range of needs in many fields such as meteorology,hydrology,environment,ecology,and so on.Therefore,it is very important to accurately obtain its temporal and spatial distribution.The Huai River Basin is located in eastern China,between the Yangtze River and the Yellow River.It has a flat terrain and is an important food production base in my country.The monitoring and analysis of surface temperature plays an important role in regional environment and agricultural production.This paper takes the Huaihe River Basin as the research area and uses ground observation data,MODIS and FY3C/VIRR and other land surface temperature remote sensing products to study the characteristics of regional surface temperature changes.First,use the surface temperature data and meteorological data(temperature,precipitation,sunshine duration,wind speed)of 27 meteorological stations in the Huai River Basin from 1984 to 2019,and adopt the climate tendency rate method,linear trend estimation method,distribution function,Mann-Kendall mutation Analysis and related analysis methods,systematic analysis of the characteristics and influencing factors of surface temperature in the Huai River Basin;on the other hand,based on FY3C/VIRR(Visible and Infra-Red Radiometer,VIRR)surface temperature products and MODIS surface temperature remote sensing products,Combining the surface temperature data generated by the surface observation station interpolation,the TripleColocation method is used to fusion to obtain the surface temperature of the Huaihe River Basin after fusion.In the analysis of the fusion results,the spatial and temporal distribution characteristics of the surface temperature of the Huaihe River Basin from 2017 to 2019 are studied and analyzed.The following conclusions are obtained through analysis:(1)The interdecadal change of the Huaihe River Basin is an upward trend.The analysis of ground observation data shows that the surface temperature characteristic curve UF of the Huaihe River Basin from 1984 to 2019 showed a fluctuating increase,and a sudden change occurred in 2012,and exceeded the critical straight line+2,indicating that the surface temperature has a significant increasing trend;the surface temperature appears to be from the south In the pattern of gradually decreasing northward,the maximum surface temperature appears near Lu'an,the surface temperature is 291.67K,and the minimum surface temperature appears in Juxian.Among them,the surface temperature from 2000 to 2019 was higher than the multiyear average surface temperature,which was a positive anomaly,and the annual average temperature gradually increased.From 1984 to 2000,the annual surface temperature was lower than the multi-year average surface temperature,which was negative anomaly and relatively stable,with the maximum value being 290K.At the same time,there were three short-term declines in the annual surface temperature,around 1995 and 2003,respectively,with a decrease of 0.85K and 1.52K.The seasonal variation trend of the surface temperature is consistent with the annual variation,and both show a slow rising trend,with a higher rise in spring and a smaller rise in winter.In terms of the correlation between surface temperature changes and time,the annual surface temperature has the highest coefficient of determination,reaching 0.5876.The monthly surface temperature changes are consistent with the annual changes,showing a slow upward trend.(2)The regional surface temperature of the Huaihe River Basin has obvious spatial changes.The surface temperature product after fusion based on the Triple-Colocation method has the product characteristics of MODIS and FY3C/VIRR surface temperature.Compared with the surface temperature data interpolated by the ground observation data,the distribution is more reasonable,the spatial expression ability is stronger,and the information is more abundant.Compared with ground verification sites,the verification accuracy of fusion combination is better than MODIS and FY3C/VIRR surface temperature products.Its R2 is 0.54,which is higher than MODIS 0.5 and RMSE is 1.42K.,which is lower than FY3C/VIRR 4.Regional surface temperature distribution and changes.Through the analysis of surface temperature fusion products from 2017 to 2019,from 2017 to 2019,the annual average temperature showed an upward trend,from 289.97K to 290.45K.Among them,the area with the largest regional temperature is Shangqiu City,and the area with less change is Fuyang City,the seasonal changes are obvious,the average ground temperature in summer is 301.01K,and in winter it is 278.43K.(3)Analysis of driving factors of temperature changes in the Huaihe River Basin.The analysis of the temperature,precipitation,sunshine,wind speed and other data of the surface observation station shows that:the surface temperature and the temperature change are consistent,and the correlation coefficient is 0.714.There is a significant positive correlation between the two;the correlation between the surface temperature and the precipitation is Different seasons are quite different.In the year,spring,summer,and autumn,the trend is opposite,and the trend in winter is the same,but the interannual changes are opposite.The temperature is relatively high;the duration of sunshine is significantly positively correlated with the surface temperature in spring and summer,but the duration of sunshine has gradually decreased in the past 37 years,and the surface temperature has gradually increased,indicating that changes in duration of sunshine have limited impact on changes in surface temperature;There is a negative correlation between temperature and the interannual variation of wind speed.The wind speed decreases year by year and the surface temperature gradually increases,indicating that the decrease of wind speed is conducive to the increase of surface temperature.Figure 26 Table 14 Reference 78... |
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