Evaluation on the Algae Bloom Based on Improved Combination Rule of Evidence Theory

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• 英文论文题名：Evaluation on the Algae Bloom Based on Improved Combination Rule of Evidence Theory
• 论文作者：LI Shi-ming ; WANG Xiao-yi ; JIN Xue-bo ; XU Ji-ping
• 英文论文作者：LI Shi-ming ; WANG Xiao-yi ; JIN Xue-bo ; XU Ji-ping ; Beijing Technology & Business University ; College of Computer and Information Engineering
• 年：2017
• 作者机构：Beijing Technology & Business University,College of Computer and Information Engineering;
• 英文论文关键词：Remote sensing ; Evidence Theory ; Algae Bloom ; State Evaluation
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：X52;X824
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：5
• 文件大小：560k
• 原文格式：D
• 会议级别：全国

摘要

Algae bloom is an important manifestation of water pollution in lakes and rivers, its status evaluation is the premise of algae bloom treatment. Based on remote sensing image and multi-site water quality monitoring information, this paper introduces sensor priority and evidence credibility to realize the discount processing of evidence. And then, the evaluation model of algae bloom in lake and reservoir has been established based on the DSmT. Based on the water quality monitoring data and remote sensing images of Meiliang Bay in Taihu Lake, the evaluation result and the algae bloom analysis in this region shows that the model is more practical and can evaluate the algal bloom state effectively under the same information.
Algae bloom is an important manifestation of water pollution in lakes and rivers, its status evaluation is the premise of algae bloom treatment. Based on remote sensing image and multi-site water quality monitoring information, this paper introduces sensor priority and evidence credibility to realize the discount processing of evidence. And then, the evaluation model of algae bloom in lake and reservoir has been established based on the DSmT. Based on the water quality monitoring data and remote sensing images of Meiliang Bay in Taihu Lake, the evaluation result and the algae bloom analysis in this region shows that the model is more practical and can evaluate the algal bloom state effectively under the same information.

引文

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