地球信息科学学报 ›› 2020, Vol. 22 ›› Issue (7): 1449-1462.doi: 10.12082/dqxxkx.2020.190808
收稿日期:
2019-12-27
修回日期:
2020-03-04
出版日期:
2020-07-25
发布日期:
2020-09-25
通讯作者:
张清凌
E-mail:zhuhui17@mails.ucas.ac.cn;zhangqling@mails.sysu.edu.cn
作者简介:
朱 惠(1994— ),女,四川自贡人,硕士生,主要从事夜光遥感研究。E-mail:基金资助:
ZHU Hui1,2(), ZHANG Qingling1,3,*(
), ZHANG Shan1,2
Received:
2019-12-27
Revised:
2020-03-04
Online:
2020-07-25
Published:
2020-09-25
Contact:
ZHANG Qingling
E-mail:zhuhui17@mails.ucas.ac.cn;zhangqling@mails.sysu.edu.cn
Supported by:
摘要:
中亚各国自独立以来,先后经历了政治经济改革、俄罗斯金融危机、全球金融危机、国际原料价格浮动等多次重大事件。为研究中亚地区1992—2017年近30年的社会经济发展变化,以DMSP/OLS、NPP/VIIRS夜光数据以及年鉴数据为数据源,采用夜光总量(SNL)、夜光增长率(PNLG)等指数并结合社会经济参量对中亚社会经济的时空动态发展过程及驱动因子进行分析,研究结果表明:① 夜光可较好的反映中亚国家社会经济发展的时空变化,且夜光对社会经济发展变化的反映较GDP等社会经济参量更直观更敏感;② 独立初期的社会经济改革对中亚地区影响大、范围广,仅土库曼斯坦夜光总量(SNL)增长4.5%,其他各国夜光总量(SNL)均有下滑;③ 20世纪以来的中亚国家由于基础条件、资源禀赋等的差异,各国间差距逐渐拉大,抗风险能力差异大。如全球金融危机(2008年)对塔吉克斯坦影响最大(PNLG=-36.4%),哈萨克斯坦影响最小(PNLG=-3.6%);④ 中亚国家易受国际能源市场价格的影响尤其是油气价格增长。通过夜光对中亚社会经济的研究分析,能为中亚区域安全保障以及“一带一路”倡议的实施提供决策参考。
朱惠, 张清凌, 张珊. 1992—2017年基于夜光遥感的中亚社会经济发展时空特征分析[J]. 地球信息科学学报, 2020, 22(7): 1449-1462.DOI:10.12082/dqxxkx.2020.190808
ZHU Hui, ZHANG Qingling, ZHANG Shan. Spatial and Temporal Characteristics of Socio-Economic Development in Central Asia based on A Series of Nighttime Light Images from 1992 to 2017[J]. Journal of Geo-information Science, 2020, 22(7): 1449-1462.DOI:10.12082/dqxxkx.2020.190808
表2
中亚研究区数据介绍"
数据集 | 时段 | 空间分辨率 | 数据来源 | 网址 |
---|---|---|---|---|
DMSP夜光数据 | 1992—2012 | 约1 km | NOAA | https://www.ngdc.noaa.gov/eog/dmsp/downloadV4composites.html |
VIIRS夜光数据 | 2012—2017 | 约500 m | NOAA | http://ngdc.noaa.gov/eog/viirs/download_viirs_ntl.html |
油气活动多边形 | 1995—2006 | — | NOAA | https://www.ngdc.noaa.gov/eog/interest/gas_flares.html |
社会经济参数 | 1992—2017 | — | 世界银行 | https://data.worldbank.org.cn/ |
BP世界能源统计 | https://www.bp.com/ | |||
中亚国家统计年鉴 | http://www.zywx.xjlas.org | |||
行政边界 | 2018 | — | GADM | https://gadm.org/ |
表5
中亚国家各州(市)不同阶段夜光变化程度分类表"
国家 | 1992—1998 年 | |||||
重度下滑 | 中度下滑 | 轻度下滑 | 缓慢增长 | 快速增长 | 高速增长 | |
---|---|---|---|---|---|---|
哈萨克斯坦 | 28.6 | 57.1 | 0 | 7.15 | 7.15 | 0 |
乌兹别克斯坦 | 0 | 21.4 | 57.1 | 14.4 | 7.1 | 0 |
土库曼斯坦 | 0 | 0 | 50 | 33.3 | 0 | 16.7 |
吉尔吉斯斯坦 | 0 | 11.15 | 33.3 | 44.4 | 11.15 | 0 |
塔吉克斯坦 | 20 | 20 | 40 | 0 | 0 | 20 |
国家 | 1999—2012年 | |||||
重度下滑 | 中度下滑 | 轻度下滑 | 缓慢增长 | 快速增长 | 高速增长 | |
哈萨克斯坦 | 0 | 0 | 0 | 7.15 | 7.15 | 85.7 |
乌兹别克斯坦 | 0 | 21.45 | 57.1 | 0 | 21.45 | 0 |
土库曼斯坦 | 0 | 0 | 0 | 33.3 | 16.7 | 50 |
吉尔吉斯斯坦 | 0 | 0 | 11.1 | 11.1 | 11.1 | 66.7 |
塔吉克斯坦 | 0 | 20 | 0 | 20 | 40 | 20 |
国家 | 2012—2017年 | |||||
重度下滑 | 中度下滑 | 轻度下滑 | 缓慢增长 | 快速增长 | 高速增长 | |
哈萨克斯坦 | 0 | 0 | 7.15 | 0 | 7.15 | 85.7 |
乌兹别克斯坦 | 0 | 7.1 | 14.3 | 14.3 | 28.6 | 35.7 |
土库曼斯坦 | 0 | 0 | 33.3 | 16.7 | 0 | 50 |
吉尔吉斯斯坦 | 0 | 0 | 0 | 0 | 22.2 | 77.8 |
塔吉克斯坦 | 0 | 0 | 0 | 0 | 20 | 80 |
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