藻华

基于ASAR和MODIS图像的藻华范围提取

Range Extraction of Algae Bloom Water Body Based on ASAR and MODIS

水文气象因子对藻华爆发的影响

Influences of hydrometeorologic factor on algae bloom

水温与营养值对水库藻华态势的影响

Influence of water temperature and trophic value on algae blooming in reservoirs

有害藻华监测与预报系统研究

The Research on the System of Observing and Predicting of the Harmful Algal Blooms

藻华爆发期太湖不同区域沉积物多样性

Bacterial Diversity of Sediment in Different Regions of Taihu Lake During the Algal Bloom

高分子复配物磁聚去除淡水藻华研究

Study on removal of algal blooms in freshwater by magnetic assembling with compounds of polymers

科学家正在开展试验确定营养水平必须下降到什么地步才能阻止藻华的形成。

Scientists are conducting experiments to determine how much nutrient levels must fall to stop bloom formation .

红潮又称为藻华，是由于水藻突然迅速繁殖，而导致海水变色的自然现象。

Red tides or algal blooms are natural discolorations of seawater caused by the rapid multiplication of algae .

藻华是指由于水体环境的改变，导致水中浮游藻类爆发性增殖的一种生态异常现象。

Algal blooms are abnormal ecological phenomenon with explosive proliferation of phytoplankton caused by the change of water environment .

随着后三峡时代的来临，库区藻华频繁暴发。

With the coming of Three Gorges after The Times era , algal bloom in the reservoir area has been frequently outbreaks .

二者在种源策略和生态特征上的差异导致了不同的群落演替模式和引发藻华的机制。

The differences of seed strategies and ecological characters between them lead to different community succession patterns and different mechanisms of algal bloom .

太湖每年夏季都要出现藻华，这是由于温暖的环境以及农业和下水道带来的富营养物质在太湖中积累所致。

Algal blooms arrive in Taihu every summer , encouraged by warm conditions and nutrient-rich agricultural run-off and sewage that accumulates in the lake .

研究并设计了有害藻华监测与预报系统的集成架构，在分析了当前海洋信息系统的发展趋势的基础上确定了有害藻华监测与预报系统集成架构的设计目标。

The researches are below : ( 1 ) A new integrated infrastructure of the harmful algal blooms monitoring and predicting system is proposed and designed .

通过构筑一定形式的辅助变量，分别提出了在水温20℃和30℃条件下藻华生物量的预测模型；

Through establish - ing some auxiliary parameters , models are also proposed to predicate algae biomass at water temperature 20 ℃ and 30 ℃ accord - ingly .

藻华暴发不仅会破坏水体的正常生态系统，还会产生危害人体健康的藻毒素。

The outbreak of algal blooms will not only destroy the normal ecosystem of water bodies , it also can produce algal toxins that hazard the health of human body .

引起我国众多湖泊出现藻华现象的藻类主要为蓝藻，而藻蓝蛋白是蓝藻的指示性色素，针对富营养化湖泊水体藻蓝蛋白提取技术的研究较少。

Cause of many lakes outbreaks algal blooms mainly are cyanobacteria , the phycocyanin is indicative pigment of cyanobacteria , for eutrophic lake water , the extraction technology of phycocyanin is study few .

本文针对当前有害藻华监测与预报系统存在的问题，深入研究了有害藻华监测与预报系统的基本架构、数据传输子系统、数据仓库基本模型，并对有害藻华密度预测模型进行了研究。

Considering the problems of the current harmful algal blooms monitoring and predicting system , a new integrated infrastructure of the system , the data transmission subsystem , the principle model of the marine environment data warehouse and the harmful algal blooms density model are introduced in the paper .