ZHANG Jiayu,BAI Linbo,YANG Meiling.Spatial and Temporal Evolution of Yinchuan Urban Expansion in the Last 30 Years[J].Research of Soil and Water Conservation,2019,26(05):359-365.
银川市近30年城市扩展时空演变
- Title:
- Spatial and Temporal Evolution of Yinchuan Urban Expansion in the Last 30 Years
- 分类号:
- F293.2
- 摘要:
- 应用1991年、1999年、2006年、2011年和2017年五期Landsat TM/ETM/OLI影像数据，在遥感和地理信息系统软件支持下，人机交互提取5个时期银川市建成区边界，通过城市空间扩展强度、重心坐标、紧凑度指数和分形维数等指标，对银川市城市空间扩展的时空演变特征进行了定量分析。结果表明：（1）时序上，除1991—1999年慢速扩展外，其余3个时段都为快速扩展期，扩展强度为20.32%，扩展速率7.88 km2/a，至2017年银川市建成区面积净增了204.96 km2，为1991年的6.29倍。（2）空间格局上，银川市建成区由“东、西分离”扩展成“整体发展”，城市重心总体往东南偏移，扩展的主要方位在东南、正东，分别增加了45.44 km2，41.49 km2，而正南、正北扩展较少，仅增加6.26 km2，8.05 km2。（3）城市形态上，紧凑度逐渐增加，由0.17上升到0.32，分形维数逐渐减小，由1.71下降至1.25，说明在研究期间，扩展以内部和边缘填充为主，随着城市的扩展银川市空间形态日趋简单，稳定。
- Abstract:
- Base on Landsat TM/ETM/OLI images of five periods (1991, 1999, 2006, 2011 and 2017), and supported by RS and GIS software, human-computer interaction was used to extract the boundaries of Yinchuan built-up area in five periods. The spatial and temporal evolution feature of urban expansion in Yinchuan was analyzed based on the index of spatial expansion intensity, barycentric coordinate, compactness index and fractal dimension. The results showed that:(1) on time sequence, the city extended rapidly in the other three periods except for slow expansion from 1991 to 1999; the expansion strength was 20.32%, and the expansion rate was 7.88 km2/a; in 2017, the area of Yinchuan construction area increased by 204.96 km2, which was 6.29 times of that in 1991; (2) on spatial pattern, the construction area expanded from east west separation to integrated development, and the center of the city generally shifted to the southeast; the main direction of expansion was towards the southeast and east with expansion distances of 45.44 km2 and 41.49 km2, respectively, while the expansion was less in the south and in the north with only expansion distance of 6.26 km2 and 8.05 km2, respectively; (3) on urban form, the compactness increased gradually from 0.17 to 0.32, and the fractal dimension decreased gradually from 1.71 to 1.25, indicating that the main expansion was the inner and edge filling in the whole study period, and the spatial form of the urban expansion had been simple and stable.
参考文献/References:
[1] 陆张维,徐丽华,吴次芳,等.基于凸壳原理的杭州城市扩展形态演化分析[J].地理科学,2015,35(12):1533-1541.
[2] 李飞雪,李满春,刘永学,等.建国以来南京城市扩展研究[J].自然资源学报,2007,22(4):524-535.
[3] 姚玉龙,刘普幸,陈丽丽,等.近30年来合肥市城市扩展遥感分析[J].经济地理,2013,33(9):65-72.
[4] 刘盛和,吴传钧,沈洪泉.基于GIS的北京城市土地利用扩展模式[J].地理学报,2000,55(4):407-416.
[5] 邓羽,司月芳.北京市城区扩展的空间格局与影响因素[J].地理研究,2015,34(12):2247-2256.
[6] 王帅,徐涵秋,唐菲.基于IBI和CA模型的城市建成区提取及其应用:以上海市为例[J].遥感技术与应用,2017,32(6):1161-1170.
[7] 王涛,李贝贝,何亮,等.西安城市扩展时空特征与驱动因素分析[J].测绘科学,2017,42(4):75-79,118.
[8] 徐进勇,张增祥,赵晓丽,等.近40年珠江三角洲主要城市时空扩展特征及驱动力分析[J].北京大学学报:自然科学版,2015,51(6):1119-1131.
[9] 任启龙,王利,韩增林,等.基于城市年轮模型的城市扩展研究:以沈阳市为例[J].地理研究,2017,36(7):1364-1376.
[10] 樊淑云,彭文甫,毛欢,等.成都市城市扩展时空变化研究[J].测绘科学,2015,40(2):102-108,127.
[11] 李晓燕,李慧颖,满卫东,等.哈长城市群城镇用地扩展进程及其驱动因素研究[J].地理科学,2018,38(8):1273-1282.
[12] 宋金蕊,盖艾鸿,任秀金.基于GIS和RS的德令哈市城市扩展研究[J].水土保持研究,2015,22(5):176-180.
[13] 白林波,白明生,贾科利.银川市景观格局动态变化研究[J].水土保持研究,2011,18(2):265-267.
[14] 孙鹏,韩沐汶,白林波,等.基于Landsat TM/ETM的银川市热岛效应时空变化研究[J].水土保持研究,2014,21(1):290-293.
[15] 国家质量技术监督局.城市规划基本术语标准[S].中国建筑工业出版社, GB/T50280-98,1999.
[16] 张增祥,汪潇,温庆可,等.土地资源遥感应用研究进展[J].遥感学报,2016,20(5):1243-1258.
[17] 王厚军,李小玉,张祖陆,等.1979-2006年沈阳市城市空间扩展过程分析[J].应用生态学报,2008,19(12):2673-2679.
[18] 王思远,张增祥,周全斌,等.基于遥感与GIS技术的土地利用时空特征研究[J].遥感学报,2002,6(3):223-228.
[19] Zhang Y, Yang D, Zhang X, et al. Regional structure and spatial morphology characteristics of oasis urban agglomeration in arid area:A case of urban agglomeration in northern slope of Tianshan Mountains, Northwest China[J]. Chinese Geographical Science, 2009,19(4):341-348.
[20] 穆晓东,刘慧平,薛晓娟.基于遥感监测的北京1984-2007年城市扩展研究[J].北京师范大学学报:自然科学版,2012,48(1):81-85.
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备注/Memo
收稿日期:2018-10-29;改回日期:2018-12-27。
基金项目:宁夏高等学校自然科学项目”宁夏沿黄城市带发展与黄河水资源联动机制研究”（NGY2017059）；宁夏自然科学基金项目“基于多源数据的宁夏典型沿黄城市城区扩展分异及其动力机制研究”（2019AAC03051）
作者简介:张佳瑜(1978-)男,广东梅州人,讲师,硕士,主要从事地理信息系统应用和城市防灾减灾规划研究。E-mail:zhangjy@nxu.edu.cn
通讯作者:白林波(1973-)女,山西长治人,教授,硕士,主要从事遥感与地理信息系统应用研究。E-mail:bailinbo@163.com