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- 2018
基于波士顿矩阵的夜光遥感电力消费估算方法
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Abstract:
针对夜光遥感影像估算社会经济参数在局部区域精度不足的问题，提出了基于波士顿矩阵的灯光指数法。该方法在传统灯光指数法的基础上引入波士顿矩阵，将社会经济参量中的电力消费量作为研究对象，以2015年可见光红外成像辐射仪（visible infrared imaging radiometer，VⅡRS）年产品为主要数据源，选择中国大陆区域182个城市作为研究区域，利用波士顿矩阵将全部城市分为4类：明星城市、现金牛城市、问题城市与瘦狗城市。结果显示，基于波士顿矩阵的灯光指数法的平均相对误差为34.04%，小于传统灯光指数法的平均相对误差41.69%；且分类后的各类城市，除明星城市外，基于波士顿矩阵的灯光指数法的平均相对误差均小于传统灯光指数法，而两种方法对于明星城市电力消费估算的结果相差不大；将估算结果按照相对误差的大小分为高精度、中等精度与低精度3种，基于波士顿矩阵的灯光指数法高精度与中等精度的估算结果比例均高于传统灯光指数法，而低精度结果的比例则低于传统灯光指数法。由此可见，基于波士顿矩阵法的灯光指数法对于电力消费量的估算结果优于传统灯光指数法
| [1] | Zhao Jin. Applications of Boston Matrix Analysis in Practical Cases[J].Chinese High-tech Enterprises, 2008(8):25(赵晋. 波士顿矩阵分析在实际案例中的运用[J].中国高新技术企业, 2008(8):25) |
| [2] | Lu D, Tian H, Zhou G, et al. Regional Mapping of Human Settlements in Southeastern China with Multisensor Remotely Sensed Data[J]. Remote Sensing of Environment, 2008, 112(9):3668-3679 |
| [3] | He C, Li T, Yang Y, et al. Spatiotemporal Dyna-mics of Electric Power Consumption in Chinese Mainland from 1995 to 2008 Modeled Using DMSP/OLS Stable Nighttime Lights Data[J]. Journal of Geographical Sciences, 2012, 22(1):125-136 |
| [4] | Shi Kaifang, Yu Bailang, Huang Chang,et al. Exploring Spatiotemporal Patterns of Electric Power Consumption in Countries Along the Belt and Road[J]. Energy, 2018, 150:847-859 |
| [5] | Li X, Xu H, Chen X, et al. Potential of NPP-VⅡRS Nighttime Light Imagery for Modeling the Regional Economy of China[J].Remote Sensing, 2013, 5(6):3057-3081 |
| [6] | Li Feng, Sun Guangtong, Wang Qiuling, et al.Spatialization Research of Electricity Consumptions at County Level Using NPP-VⅡRS Nighttime Lights[J].Geomatics & Spatial Information Technology, 2018,41(4):8-11,15(李峰, 孙广通, 王秋玲,等. NPP-VⅡRS夜间灯光数据的县级电力消费空间化研究[J].测绘与空间地理信息, 2018,41(4):8-11,15) |
| [7] | Shi K, Yu B, Huang Y, et al. Evaluating the Abi-lity of NPP-VⅡRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales:A Comparison with DMSP-OLS Data[J].Remote Sensing, 2014, 6(2):1705-1724 |
| [8] | Shi Jiangang, Qiu Lilan.A Comparative Study of Urban Classification Methods in Urban Agglomerations-A Case Study of Urban Agglomerations in Chengdu Plain[J].The Urban Problems,2009(12):19-22(施建刚, 裘丽岚. 城市群内城市分级方法比较研究——以成都平原城市群为例[J].城市问题, 2009(12):19-22) |
| [9] | Cao C, Xiong J, Blonski S, et al. Suomi NPP VⅡRS Sensor Data Record Verification, Validation, and Long-term Performance Monitoring[J]. Journal of Geophysical Research:Atmospheres,2013, 118(20):11664-11678 |
| [10] | Jing X, Shao X, Cao C, et al. Comparison Between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China[J].Remote Sensing, 2015, 8(1):17 |
| [11] | Wang Shuang. The Applications of the Boston Matrix[J].Enterprise Reform and Management, 2001(8):30-31(王双.波士顿矩阵的运用[J]. 企业改革与管理, 2001(8):30-31) |
| [12] | Qiu Lilan.Analysis of Strategic Development of Chuan-Yu Urban Agglomeration Based on Applied Rules of Boston Matrix[J].Journal of Hebei University of Science and Technology, 2010, 31(1):74-80(裘丽岚.基于波士顿矩阵及应用法则分析川渝城市群的战略发展[J].河北科技大学学报,2010,31(1):74-80) |
| [13] | Li Haibin, Wang Qionghai. Limitations, Modifications and Applications of Boston Matrix Analysis[J].Science and Technology Innovation Herald, 2009(33):199(李海斌, 王琼海. 波士顿矩阵分析法的局限、修正及应用[J].科技创新导报, 2009(33):199) |
| [14] | Yuan Jiahai,Ding Wei,Hu Zhaoguang. Analysis on Cointegration and Co-movement of Electricity Consumption and Economic Growth in China[J].Power System Technology,2006, 30(9):10-14(袁家海, 丁伟, 胡兆光. 电力消费与中国经济发展的协整与波动分析[J]. 电网技术, 2006, 30(9):10-14) |
| [15] | Tso G K F, Yau K K W. Predicting Electricity Energy Consumption:A Comparison of Regression Analysis, Decision Tree and Neural Networks[J]. Energy, 2007, 32(9):1761-1768 |
| [16] | Li Deren,Li Xi. An Overview on Data Mining of Nighttime Light Remote Sensing[J].Acta Geodaetica et Cartographica Sinica, 2015, 44(6):591-601(李德仁, 李熙. 论夜光遥感数据挖掘[J].测绘学报, 2015, 44(6):591-601) |
| [17] | Li Deren, Li Xi. Applications of Night-time Light Remote Sensing in Evaluating of Socioeconomic Development[J].Journal of Macro-Quality Research, 2015,3(4):1-8(李德仁, 李熙. 夜光遥感技术在评估经济社会发展中的应用?——兼论其对"一带一路"建设质量的保障[J]. 宏观质量研究, 2015,3(4):1-8) |
| [18] | Welch R. Monitoring Urban Population and Energy Utilization Patterns from Satellite Data[J]. Remote Sensing of Environment, 1980, 9(1):1-9 |
| [19] | Elvidge C D,Baugh K E,Kihn E A,et al.Mapping City Lights with Nighttime Data from the DMSP Operational Linescan System[J].Photogrammetric Engineering and Remote Sensing,1997,63(6):727-734 |
| [20] | He C, Ma Q, Liu Z, et al. Modeling the Spatiotemporal Dynamics of Electric Power Consumption in Mainland China Using Saturation-Corrected DMSP/OLS Nighttime Stable Light Data[J]. International Journal of Digital Earth, 2014, 7(12):993-1014 |
