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The SIA method for spatial analysis of precipitation in the upper-middle reaches of the Yangtze River 被引量:14
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作者 ZHOUSuoquan XUEGenyuan +6 位作者 gongpeng CHENJingming ZHANGHongping ZHOUZhijiang FANXiong DENGXiaochun WUZhanping 《Journal of Geographical Sciences》 SCIE CSCD 2005年第2期223-238,共16页
Using geographic information system (GIS) techniques and the newest seasonal and annual average precipitation data of 679 meteorological stations from 1971 to 2000, the multiple regressions equations of the precipitat... Using geographic information system (GIS) techniques and the newest seasonal and annual average precipitation data of 679 meteorological stations from 1971 to 2000, the multiple regressions equations of the precipitation and topographical variables are established to extract the effect of topography on the annual and seasonal precipitation in the upper-middle reaches of the Yangtze River. Then, this paper uses a successive interpolation approach (SIA), which combines GIS techniques with the multiple regressions, to improve the accuracy of the spatial interpolation of annual and seasonal rainfall. The results are very satisfactory in the case of seasonal rainfall, with the relative error of 6.86%, the absolute error of 13.07 mm, the average coefficient of variation of 0.070, and the correlation coefficient of 0.9675; in the case of annual precipitation, with the relative error of 7.34%, the absolute error of 72.1 mm, the average coefficient of variation of 0.092, and the correlation coefficient of 0.9605. The analyses of annual mean precipitation show that the SIA calculation of 3-5 steps considerably improves the interpolation accuracy, decreasing the absolute error from 211.0 mm to 62.4 mm, the relative error from 20.74% to 5.97%, the coefficient of variation from 0.2312 to 0.0761, and increasing the correlation coefficient from 0.5467 to 0.9619. The SIA iterative results after 50 steps identically converge to the observed precipitation. 展开更多
关键词 the upper-middle reaches of the Yangtze River precipitation resource spatial analysis successive interpolation approach (SIA)
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Sound-based remote sensing of terrestrial animals: localization and error analysis 被引量:2
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作者 SHENShaoqing gongpeng +1 位作者 CHENGXiao YINGQing 《遥感学报》 EI CSCD 北大核心 2011年第6期1255-1275,共21页
声音遥感技术可以极大地提高人们对动物的监测、研究和保护能力。本研究设计了一套廉价的陆生动物声音定位系统。该系统集成了市场上现成的录音笔和无线控制设备,价格明显低于许多动物定位系统。使用自主研发的声音定位软件,在X、Y方向... 声音遥感技术可以极大地提高人们对动物的监测、研究和保护能力。本研究设计了一套廉价的陆生动物声音定位系统。该系统集成了市场上现成的录音笔和无线控制设备,价格明显低于许多动物定位系统。使用自主研发的声音定位软件,在X、Y方向上的绝对定位误差最大为1.69m,可满足大部分动物定位需求;Z方向的定位误差偏大,结果尚不理想。为了揭示影响声音定位系统精度的各种因素及其影响,采用蒙特卡罗方法进行分析,发现录音站点的位置测量误差、到达时间差的估计误差和声速的估计误差均会影响最终的声音定位精度。此外,该方法还可用于在声音定位系统布设阶段确定系统参数的合理数值,包括录音节点总个数和空间尺度。 展开更多
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