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基于夜光遥感的南疆三地州农民收入年际变化特征

The interannual variation of rural per capita net income in the three prefectures of South Xinjiang based on noctilucent remote sensing

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【作者】 解海群王哲黄佛君张展赫

【Author】 XIE Haiqun;WANG Zhe;HUANG Fojun;ZHANG Zhanhe;College of Geographic and Tourism,Xinjiang Normal University;

【机构】 新疆师范大学地理科学与旅游学院

【摘要】 利用1992-2013年的DMSP/OLS灯光数据和农民人均纯收入数据,对南疆三地州的基础地貌特征,以及19个重点贫困县市的农民收入与灯光强度的关系进行分析,以期从时间和空间的角度探讨农民收入的变化.结果表明:南疆三地州的地势由南向北逐渐降低,绿洲主要分布于中海拔地段,包含中海拔风积地貌、中海拔梁峁、中海拔山地、中海拔平原、中海拔台地,总面积分别为10.34×10~4、0.222×104、0.318×10~4、11.004×10~4、0.227×10~4km~2;与各县农民收入存在最大相关性的民族主要为汉族和维吾尔族,最大相关系数分别为0.971和0.942;灯光强度可以在长时段的条件下反映出南疆三地州重点贫困县市农民收入的变化情况,但是较短时限的变化与灯光强度的关系较为复杂,必须结合更多的因素参考,收入变化相对灯光强度变化的比率最大的县(市)为塔什库尔干县(R=86 841),最小为叶城县(R=1 069.86);灯光强度的分布极为稀疏,以疏附县、疏勒县为中心的总体扩张方向为东北,以叶城县为中心的总体扩张方向为北,以和田县为中心的总体扩张方向为西南和北.应用灯光数据寻找沙漠腹地的绿洲或人迹意义重大.

【Abstract】 Based on DMSP / OLS light data and rural per capita net income data,the variation characteristics of rural residents per capita net income in the three prefectures in South Xinjiang from 1992 through 2013 are analyzed. The results show that the terrain elevation gradually decreases from south to north and the oases are mainly located in the middle altitude sections. The maximum correlation coefficient between the income and nation population are 0. 971( Han Chinese) and 0. 942( Uighur). Light intensity can reflect the rural per capita net income of the three prefectures in a long period of time. The maximum and minimum values of the ratio of income change to light intensity change are 86 841( in Taxkorgan) and 1 069. 86( in Zepu). There are places with nighttime light distribute sparsely,of which a center at Shufu and Shule with light intensity expanding northeastwards,a center at Zepu with light intensity expanding northwards,and a center at Hotan with light intensity expanding southwest wards and northwards. Using nighttime light to find desert oasis or people has great significance.

【基金】 新疆师范大学新疆城镇化研究中心基地项目(XJCSFZ201302);新疆师范大学地理学博士点支撑学科开放课题基金项目(XJNU-DL-201423)资助
  • 【文献出处】 冰川冻土 ,Journal of Glaciology and Geocryology , 编辑部邮箱 ,2016年03期
  • 【分类号】TP79;F323.8
  • 【被引频次】5
  • 【下载频次】651
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