水资源与水工程学报2017，Vol.28Issue(4)：93-96,4.DOI:10.11705/j.issn.1672-643X.2017.04.16
基于人工神经网络的河湖蓝藻水华状态评价研究
Evaluation on the algae bloom of rivers and lakes based onartificial neural network
摘要
Abstract
Faced with the serious water environment problem, the efficient management of water resources is the key way to solve this problem, and the state assessment of blooms has become a top priority.Aiming at the non-linearity and imprecision problems in the evaluation of algae blooms in rivers and lakes, an artificial neural network based algae bloom state evaluation model was constructed, and the effective integration of fixed site monitoring and remote sensing information was realized.The model was applied to the evaluation of algae blooms in Taihu Lake.The evaluation results were in accordance with the actual situation, which verified the validity and feasibility of the model, and provided the idea for the further study of algae bloom.关键词
人工神经网络/信息融合/蓝藻水华/水华状态评价Key words
artificial neural network/information fusion/algae bloom/bloom state evaluation分类
资源环境引用本文复制引用
李世明,王小艺,许继平,于家斌,王立..基于人工神经网络的河湖蓝藻水华状态评价研究[J].水资源与水工程学报,2017,28(4):93-96,4.基金项目
国家自然科学基金项目(51179002) （51179002）
北京市教委科技计划重点项目 (KZ201510011011) （KZ201510011011）
北京市属高校创新能力提升计划项目 (PXM2014-014213-000033) （PXM2014-014213-000033）
