基于空间相关性的浙江省手机废弃量测算研究
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摘要
手机废弃量的测算对实现废旧手机的有效回收具有重要意义。文章在对空间相关性、克里金方法等相关理论作基本介绍的基础上,构建了基于空间相关性的手机废弃量测算模型。然后结合浙江省2012-2017年的基础数据,应用克里金方法对浙江省2012-2017年的手机废弃量进行了测算,并利用Eviews方法将废弃量测算值与废弃量理论值进行对比验证,结果表明,将克里金方法应用到浙江省进行手机废弃量的测算是切实可行的,这为手机废弃量的测算提供了一种新的思路。
The measurement of the discarded mobile phones' quantity has a great significance in the effective recycling of discarded mobile phones. Based on the basic introduction of the spatial correlation,the Kriging method and other related theories,this study builds a model to measure the quantity of discarded mobile phones based on the spatial correlation combined with the basic data of Zhejiang Province in 2012-2017.Then the Kriging method is taken to measure the quantity of discarded mobile phones in Zhejiang Province from 2012 to 2017,and the Eviews is used to compare and validate the measured value of discarded quantity with the theoretical value of discarded quantity. The results show that it is feasible to measure the discarded mobile phones by using the Kriging method in Zhejiang province,which provides a new thinking for the measurement of the discarded mobile phones.
The measurement of the discarded mobile phones' quantity has a great significance in the effective recycling of discarded mobile phones. Based on the basic introduction of the spatial correlation,the Kriging method and other related theories,this study builds a model to measure the quantity of discarded mobile phones based on the spatial correlation combined with the basic data of Zhejiang Province in 2012-2017.Then the Kriging method is taken to measure the quantity of discarded mobile phones in Zhejiang Province from 2012 to 2017,and the Eviews is used to compare and validate the measured value of discarded quantity with the theoretical value of discarded quantity. The results show that it is feasible to measure the discarded mobile phones by using the Kriging method in Zhejiang province,which provides a new thinking for the measurement of the discarded mobile phones.
引文
[1]中华人民共和国工业和信息化部. 2018年2月电话及互联网宽带用户分省情况[EB/OL].[2018-03-23]. http://www. miit. gov. cn/n1146312/n1146904/n1648372/c6104237/content. html.
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[10]刘志峰,张雅堃,黄海鸿,等.家电报废量预测模型与安徽省实例分析[J].环境工程学报,2016,10(1):317-322.
[2]廖程浩,张永波.废旧手机产生量测算方法比较研究[J].生态经济,2012(3):124-126.
[3]郭彬,孙美丽.基于消费使用模型的废旧手机产生量测算研究[J].科技管理研究,2013,44(19):193-196.
[4]李博,杨建新,吕彬,等.中国废旧手机产生量时空分布研究[J].环境科学学报,2015,35(12):4095-4101.
[5]雒骏,杨军,王璞,等.兰州市废旧手机产生量预测分析研究[J].环境科学与管理,2017,42(3):47-51.
[6] Daisuke Ichinose,Masashi Yamamoto,Yuichiro Yoshida. Economic geography and productive efficiency of solid-waste logistics in Japan'sprefectures:measurements via the data envelopment analysis[C]. Tokyo:GRIPS Discussion Papers,2012:11-25.
[7]陈健飞.地理信息系统导论[M].北京:科学出版社,2003:258-259.
[8]宣腾,李锦辉,李典庆,等.基于普通克里金法的勘探位置优化方法[J].武汉大学学报(工学版),2016,49(5):714-719,739.
[9]吕君,谢家平.基于空间相关性的WEEE逆向物流回收预测研究[J].管理工程学报,2015,29(4):152-161.
[10]刘志峰,张雅堃,黄海鸿,等.家电报废量预测模型与安徽省实例分析[J].环境工程学报,2016,10(1):317-322.