海洋遥感

珠江口养殖开发重心迁移的空间信息动态遥感分析

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  • 1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京 100101; 2. 山东科技大学测绘工程学院, 山东 青岛 266510
高雷(1984—), 男, 山东省泰安市人, 硕士研究生, 主要研究方向为遥感与地理信息系统应用。

收稿日期: 2008-10-07

  修回日期: 2010-03-17

  网络出版日期: 2010-05-24

基金资助

国家自然科学基金项目(40971224); 国家863计划(2009AA12Z148)

Remote sensing analysis of gravity-center migration of the aquaculture in the Zhujiang River Estuary

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  • 1. State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural Resources, Chinese Academy of Sciences, Beijing 100101, China; 2. College of Surveying Science and Engineering, Shandong University of Science and Technology, Qingdao 266510, China
高雷(1984—), 男, 山东省泰安市人, 硕士研究生, 主要研究方向为遥感与地理信息系统应用。

Received date: 2008-10-07

  Revised date: 2010-03-17

  Online published: 2010-05-24

Supported by

国家自然科学基金项目(40971224); 国家863计划(2009AA12Z148)

摘要

珠江口作为我国经济发展最活跃的区域, 经历着快速城市化与工业化进程, 各项资源的有效可持续利用成为人们开发利用空间资源所追求的目标。根据珠江口3个时相的多源遥感信息与常规调查数据予以分类系统和空间精度的一致化处理, 挖掘提取了相同空间尺度和精度的养殖信息, 并引入单一土地利用动态度、景观破碎度模型与区域面积分布统计变化和重心迁移等多模型空间信息分析。量化结果表明, 养殖区面积从1985年的125.49km2增加到2005年的345.20km2, 是1985年的2.75倍, 1985—1995年的养殖区面积年均增长率为14.30%, 1995年以后面积年均增长率下降到1.32%; 1985—2005年的20年间养殖区破碎度逐渐增加, 由1985年的0.000015增加到2005年的0.002824; 20年间珠江口各市养殖面积变化呈现区域性差异, 广州、东莞和珠海三市呈现持续增加趋势, 增长速度差异较大, 而中山和深圳两市则先增长后下降。综合分析得出养殖区分布重心整体向西北迁移。

关键词: 珠江口; 遥感; 养殖; 重心

本文引用格式

高雷,杨晓梅,苏奋振,刘勇, . 珠江口养殖开发重心迁移的空间信息动态遥感分析[J]. 热带海洋学报, 2010 , 29(3) : 35 -40 . DOI: 10.11978/j.issn.1009-5470.2010.03.035

Abstract

The Zhujiang River Estuary, the most active region in China's economic development, is experiencing rapid urbanization and industrialization, of which effective sustainable use of the funding sources becomes an ultimate goal to develop and utilize space technology and resources. In this article the authors mined and extracted the farming information with the same spatial scale and precision based on the analysis of data from the three-phase multi-source remote sensing information of the Zhujiang River Estuary and conventional survey with classification system and spatial accuracy consistency, to introduce the model of single land use dynamic index, the landscape fragmentation, and multi-model analysis of spatial information such as changes in the distribution area statistics and the gravity center. Quantified results show that from 1985 to 2005 aquaculture area increased from 125.49km2 to 345.20km2, 2.75 times as large as that in 1985. The average annual growth rate of aquaculture area was 14.30% between 1985 and 1995, and dropped to 1.32% after 1995. In the past 20 years from 1985 to 2005, the fragmentary degree of aquaculture area gradually increased from 0.000015 to 0.002824. The change of aquaculture area presented regional differences for the five cities in the Zhujiang River Estuary. The growth rate in Guangzhou, Dongguan and Zhuhai City kept going up, with quite large difference among them; but for Zhongshan and Shenzhen, the growth rate dropped after a period of increment. Comprehensive analysis leads to the conclusion that the gravity center of the aquaculture area migrated to the northwest in the whole.

参考文献

[1] 王秀兰, 包玉海. 土地利用动态变化研究方法探讨[J]. 地理科学进展, 1999, (1): 81-87.
[2] 林巧莺, 林广发, 陈志鸿, 等. 近20年来厦门市滩涂养殖时空演变与政策驱动分析[J]. 地球信息科学, 2007, (2): 9-13.
[3] 薛振山. GIS和RS支持下的珠江口景观格局变化研究[D]. 长春: 东北师范大学, 2007.
[4] 陈新军, 许柳雄, 田思泉. 北太平洋柔鱼资源与渔场的时空分析[J]. 水产学报, 2003, (4): 334-342.
[5] 许振成. 珠江口海域环境及其综合治理问题辨析[J]. 热带海洋学报, 2003, 22(6): 88-93.
[6] 林永水, 周雅操, 王国才. 珠江口赤潮生物及其与环境关系[J]. 热带海洋, 1994, 13(4): 58-64.
[7] 李喆, 秦其明, 刘大平, 等. 土地利用变化的时空分析及其在云南丽江的应用[J]. 云南地理环境研究, 2004, (3): 10-13.
[8] 杨英宝, 江南, 殷立琼, 等. 太湖围湖利用及网围养殖的遥感调查与分析[J]. 农村生态环境, 2006, (1): 93-99.
[9] 朱会义, 李秀彬, 何书金, 等. 环渤海地区土地利用的时空变化分享[J]. 地理学报, 2001, (3): 253-260.
[10] 沈豹. 合理发展养殖实现滩涂利用的可持续发展[J]. 中国渔业经济, 2004, (3): 43-44.
[11] SUI DANIEL Z, ZENG HUI. Modeling the dynamics of landscape structure in Asia’s emerging desakota region[J]. Landscape and Urban Planning, 2001, 53: 37-52.
[12] TAYLOR J C, BREWER T R, A C BIRD. Monitoring landscape change in the national parks of England and Wales using aerial photo interpretation and GIS[J]. Remote Sensing, 2000, 21(13): 2737-2752.
[13] SANTIAGO SAURA. Effects of remote sensor spatial resolution and data aggregation on selected fragmentation indices[J]. Landscape Ecology, 2004, 19: 197-209.

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