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陆岛互通工程对海岛产业用地时空格局影响分析——以舟山市为例
引用本文:潘艺,宋洁,常翔僖,祝锦霞,邱乐丰.陆岛互通工程对海岛产业用地时空格局影响分析——以舟山市为例[J].海洋通报,2021,40(6):683-693,708.
作者姓名:潘艺  宋洁  常翔僖  祝锦霞  邱乐丰
作者单位:浙江财经大学土地与城乡发展研究院,浙江杭州310019;太原师范学院地理科学学院,山西太原030619;西北大学城市与环境学院,陕西西安710127
基金项目:国家自然科学基金青年基金 (41901233);教育部人文社会科学研究课题青年基金 (19YJC630127);浙江省自然科学基金项目(LY20D010007)
摘    要:陆岛联动发展对提升海岛综合价值和推进陆海统筹战略具有重要意义.以舟山市为例,基于多源遥感影像、POI数据、景观格局梯度分析和相关性分析,探讨了陆岛连通工程对海岛产业用地演变的影响及其时空格局特征.主要结论如下:(1) 2010-2018年期间,舟山市陆域用地面积总体扩张,其中第一产业用地递减,第二、三产业用地迅速增加,产业用地转换频繁复杂.(2)海岛产业用地演变呈显著时空差异性.第一产业用地分布逐渐分散化、破碎化,重心向东北方向转移.第二产业用地集中于本岛沿岸并向外围邻近小岛辐射,其重心转移最为明显,趋向西北方.第三产业用地呈现双核多点分布特征,其中本岛南部城市核心区集聚扩张,在外围涌现零星增加点,其重心持续向西北方转移.(3)样带梯度分析表明2010-2015年间舟山海岛产业用地景观指数变化更高,而市中心产业用地景观格局变化较少,随着离市中心距离增加景观指数变化增强,在两端的金塘岛和朱家尖岛出现明显波动.海岛沿岸第二、三产业用地景观格局变化剧烈.(4)舟山海岛产业用地景观变化与跨海大桥建设、岛内交通网络、距离海岸线等地理因素呈现显著相关性和时空差异性,跨海大桥对第一产业用地的影响逐渐减弱,后期第二、三产业用地格局变化更多受到岛内交通网络、岸线资源、本底产业基础等因素影响.

关 键 词:产业用地时空格局  陆岛互通工程  梯度分析  地理多元数据
收稿时间:2021/5/13 0:00:00
修稿时间:2021/7/22 0:00:00

Exploring the influence of mainland-island link project on the spatiotemporal dynamics of island industrial land change:case study of Zhoushan City
PAN Yi,SONG Jie,CHANG Xiangxi,ZHU Jinxia,QIU Lefeng.Exploring the influence of mainland-island link project on the spatiotemporal dynamics of island industrial land change:case study of Zhoushan City[J].Marine Science Bulletin,2021,40(6):683-693,708.
Authors:PAN Yi  SONG Jie  CHANG Xiangxi  ZHU Jinxia  QIU Lefeng
Abstract:The interactive development between coastal and island areas is of great significance to improve island comprehensive values, as well as to promote the national strategy of mainland and sea integrated development. Supported by remote sensing, POI, GIS, gradient analysis and correlation analysis, this paper characterizes the spatiotemporal dynamics of island industrial land change in response to mainland-island link project in the Zhoushan Islands from 2010 to 2018. The results show that: (1) The total industrial land of Zhoushan City increased continuously from 2010 to 2018, among them, the land used for primary industry decreased, while the land used for secondary industry and tertiary industry increased rapidly. Industrial land conversion was frequent and complex. (2) The spatial pattern evolution of industrial land in Zhoushan City varied with period and region. The dentist pattern of the primary industrial land mainly concentrated in the central of the Zhoushan Island with a low periphery. The center of primary industrial land has shifted to the northeast, and its landscape became more irregular and fragmented. The secondary industrial land mostly distributed along the coasts, which experienced the most obvious transfer of the center, shifting to the northwest. The tertiary industrial land showed the dual -core -points pattern in the south coast of the Zhoushan Island. There is a phenomenon of continuous agglomeration and expansion around the urban cores and then extends to peri-urban areas. In the peripheral areas, new aggregation points are scattered and growing, and the center continues to shift to the northwest. (3) From the gradient analysis of industrial transect landscape, the landscape index of island industrial land changed more significantly during 2010 to 2015. The landscape pattern around the city center was relatively stable. With the increase of distance from the city center, the change of landscape index increased, and the Jintang Island and the Zhujiajian Island at both ends fluctuated significantly. (4) The landscape change of industrial land in Zhoushan Island has significant correlation and spatialtemporal difference with the geographical factors, such as construction of cross-sea bridge, traffic network, and distance from coastline. The completion of cross-sea bridges in the early stage had a greater impact on the landscape changes of the primary industry land. During the latter stage, the change of landscape patterns of secondary and tertiary industries land was more affected by the traffic network, shoreline resources and industrial bases.
Keywords:spatiotemporal dynamics of industrial land use  mainland-island link project  grid gradient analysis  geographical big data
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