事务(进程 ID 125)与另一个进程被死锁在 锁 资源上,并且已被选作死锁牺牲品。请重新运行该事务。 基于MODIS的太湖蓝藻水华暴发时空规律分析研究-《南京师大学报(自然科学版)》


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基于MODIS的太湖蓝藻水华暴发时空规律分析研究()

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

卷:
第35卷
期数:
2012年01期
页码:
89-94
栏目:
地理学
出版日期:
2012-03-20

文章信息/Info

Title:
Spatio-temporal Rules of the Blue-green Algae Blooms in the Taihu Lake Based on MODIS Data
作者:
刘晓艳;倪峰;周玉红;
南京师范大学虚拟地理环境教育部重点实验室,江苏南京210046
Author(s):
Liu XiaoyanNi FengZhou Yuhong
Key Laboratory of Virtual Geographic Environment Ministry of Education,Nanjing Normal University,Nanjing 210046,China
关键词:
Keywords:
分类号:
X524
摘要:
太湖蓝藻水华的日益严重已经给太湖地区的经济建设和人民生活带来了巨大的损失.本文利用遥感技术的优势,对2002~2007年中611 d太湖地区MODIS遥感影像的蓝藻水华信息进行提取,引入暴发强度概念,统计蓝藻水华暴发频次,获取了2002~2007年间太湖蓝藻暴发变化情况,在此基础上分析了蓝藻水华暴发的时空规律,准确反映了太湖蓝藻水华暴发的强度、地点和分布范围,从而为太湖蓝藻应急预警工作及进一步进行环境因素的相关研究提供了有力保障.
Abstract:
Blue-green algae blooms in the Taihu Lake region have been attracting increasing attention of society,as they have brought a huge loss in regional economy and public’s life. Remote Sensing ( RS) has a lot of advantages in earth observing. Taking advantages of RS,this paper firstly extracted blue-green algae blooms information based on MODIS images of 611 days selected from the year of 2002 to 2007,defined bloom intensity to count the frequency of blue-green algae blooms,and then studied spatio-temporal rules of the blue-green algae blooms in the Taihu Lake. The study results are expected to make progress in improving the early warning and predicting capacity for blue-green algae blooms,to provide support for decision making in reducing water pollution caused by blue-green algae blooms.

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更新日期/Last Update: 2013-03-11