Satellite analysis to identify changes and drivers of CyanoHABs dynamics in Lake Taihu

Satellite analysis to identify changes and drivers of CyanoHABs dynamics in Lake Taihu
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卫星分析确定太湖 CyanoHABs 动态的变化和驱动因素

DOI:
10.2166/ws.2016.074
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发表时间:
2016-10
期刊:
Water Science and Technology: Water Supply
影响因子:
--
通讯作者:
Jinduo Xu
Jinduo Xu
中科院分区:
其他
文献类型:
--
作者:
Yuchao Zhang;Ronghua Ma;Hongtao Duan;Steven Loiselle;Jinduo Xu

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以太湖为例,采用长期卫星监测方法,研究了环境因子和人为因素对蓝藻水华(Cyanohabs)动态的影响。一个亚像素的方法(藻类像素增长算法)与13年的中分辨率成像光谱仪(MODIS)数据,以评估变化的水华扩展,开始日期,持续时间,发生频率之前和之后的大规模水华事件(2007年)。结果表明,这一事件发生后的条件发生了变化,一般延迟开花开始和减少开花持续时间。采用去趋势对应分析、主成分分析和冗余度分析等方法,分析了蓝藻的日、月和年际变化的环境驱动因子。结果表明,风速是影响蓝藻日变化的主要驱动因子,而CODmn、TP和水温与蓝藻月变化密切相关。在年尺度上,Tmean和营养盐是影响蓝藻爆发时间和持续时间的主要驱动因子,气象因子影响整个湖泊蓝藻爆发频率.通过遥感定期监测蓝藻是持续评估太湖水华状况的关键因素,减少营养盐的政策有助于减少蓝藻的发生。
A long-term satellite-based analysis was performed to assess the impact of environmental factors and human efforts on cyanobacterial harmful blooms (CyanoHABs) dynamics in a typical shallow lake, Lake Taihu. A sub-pixel approach (algae pixel-growing algorithm) was used with 13 years of MOderate-resolution Imaging Spectroradiometer (MODIS) data to evaluate changes in bloom extension, initiation date, duration, and occurrence frequency before and after a massive bloom event (2007). Results indicated that the conditions after this event changed, with a general delay in bloom initiation and a reduction in bloom duration. The environmental drivers of daily, monthly and inter-annual CyanoHABs dynamics were analyzed by detrended correspondence analysis, principal components analysis and redundancy analysis. It demonstrated that wind speed was the main driver for daily CyanoHABs dynamics, and CODmn, TP and water temperature were closely related to monthly CyanoHABs dynamics. For the year scale, Tmean and nutrients were the main drivers of CyanoHABs initiation date and duration, and meteorological factors influenced CyanoHABs frequency for the whole lake. Regular monitoring of CyanoHABs by remote sensing is a key element in the continued assessment of bloom conditions in Lake Taihu, and nutrient reduction policies contribute to decrease CyanoHABs occurrence.
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