| Energy shortage is a common problem facing developing countries.Many hydropower projects undertaken by China in the “Belt and Road” region have played an important role in solving this problem.However,the ecological environment of the major projects of the “Belt and Road” hydropower station has attracted widespread attention at home and abroad.Monitoring and analysis of these projects are beneficial to the construction of major projects and environmental protection.Based on RS technology and GIS technology,and according to the chronological order of hydropower development,referring to the global ecological environment remote sensing monitoring annual report the10km2 buffer zone in the upstream reservoir area of the hydropower station is selected as the ecological environment research area.Based on the landsat-5 and landsat-8 remote sensing images,the new ecological remote sensing index(RSEI),to analyze the spatial and temporal changes of the ecological environment in the three phases of the study area from 2002 to 2017;select the DMSP / OLI night light images from 2000 to 2013 and use the power consumption statistics to establish a univariate linear regression model to perform the time and space of Ethiopia's power consumption Analysis of changes,the main research results are as follows:(1)Based on the phenomenon of central pixel saturation and pixel overflow in the night light of DMSP / OLI,this paper proposes a method to extract the unchanged target area.By fitting the long-term series of DMSP / OLI data pixel by pixel,the fitting is performed.Slope histogram statistics,the absolute value of the fitting slope 0.0277 is selected as the threshold value,and the area less than the threshold value is extracted as the constant target area,thereby realizing the correction of the long-term series DMSP / OLI data to meet the estimation accuracy of power consumption(EPC)Claim.(2)The greenness index,humidity index,dryness index,and heat index are the key indicators of the ecological environment.The remote sensing ecological index(RSEI)is obtained through principal component analysis to analyze the overall ecological environment quality and its changes in the upstream area of the hydropower development zone.The results show that in 2002,2010,and 2017,the upstream areas of hydropower development zones showed a downward trend.Analysis of the contribution rate of each component to PCA found that the contribution of the heat index to PCA was large,and human activities became the most important Main factors;the area of the ecological grade degraded from 2002 to 2017 was 2 333.58km2,and the reasons were analyzed.WET showed a gradual downward trend.The soil erosion caused by hydropower construction was the main reason,preventing land drying caused by soil erosion and improving vegetation coverage.is the key to ecological restoration.(3)Based on the corrected DMSP / OLI night light data,a correlation analysis was performed on the power consumption and the total night light value.It was found that there was a strong correlation between the two data.A univariate linear regression model was used to construct the power consumption The estimation model calculates the EPC spatial distribution data of Ethiopia from 2000 to 2013.(4)Analysis of the EPC spatial distribution data found that EPC in Ethiopia showed a rapid growth trend from 2000 to 2013.Based on the power consumption value of the grid data,a power center of gravity shift model was constructed from 2000 to 2013.The analysis shows that the EPC in Ethiopia did not undergo a large shift from 2000 to 2013;the correlation trend R and the slope of the power consumption change were used to determine the trend of power consumption.It was found that the change trend was consistent with the results obtained from the shift of the center of gravity. |
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