| 引用本文: | 李亚春,谢小萍,朱小莉,杭鑫,李心怡,景元书.结合卫星遥感技术的太湖蓝藻水华形成温度特征分析.湖泊科学,2016,28(6):1256-1264. DOI:10.18307/2016.0611 |
| LI Yachun,XIE Xiaoping,ZHU Xiaoli,HANG Xin,LI Xinyi,JING Yuanshu.Applying remote sensing techniques in analysis of temperature features causing cyanobacteria bloom in Lake Taihu. J. Lake Sci.2016,28(6):1256-1264. DOI:10.18307/2016.0611 |
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| 结合卫星遥感技术的太湖蓝藻水华形成温度特征分析 |
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李亚春1, 谢小萍1, 朱小莉2, 杭鑫1, 李心怡3, 景元书3
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1.江苏省气象局, 南京 210008;2.常州市气象局, 常州 213022;3.南京信息工程大学, 南京 210044
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| 摘要: |
| 气温对太湖蓝藻的复苏生长和水华形成、大面积暴发及衰退具有重要作用.利用太湖湖面及周边地区20032013年气象与卫星观测数据分析，结果发现太湖蓝藻水华形成的温度范围宽泛，在蓝藻复苏后，在日平均气温0~35.0℃区间都能观测到蓝藻水华现象，其中日平均气温15.1~35.0℃区间为太湖蓝藻水华频发区间，累计频次和面积占比分别为85%和90%；大面积蓝藻水华集中暴发的气温区间为20.1~35.0℃，累计频次和面积占比分别为72%和73%；蓝藻水华出现的概率随平均气温的升高而增大，二者呈二次正相关关系，而平均面积则随气温在均值附近波动，日平均气温达33℃后平均面积迅速减小.表明气温并非复苏后太湖蓝藻水华出现与否的主要限制因子，适度高温有利于蓝藻水华形成，但在日平均气温33℃以上时蓝藻水华会受到抑制.在此基础上将蓝藻水华分成4个阶段：休眠期、复苏期、增长期和衰退期，确定了基于气温的阶段量化指标，对应起始和终止的界限温度分别为：（0℃，5℃）、（5℃，15℃）、（15℃，30℃）和（30℃，0℃），据此可以计算出每年蓝藻水华的各生育阶段对应的时间节点，为防控提供依据. |
| 关键词: 蓝藻水华 气温 卫星遥感 界限温度 太湖 |
| DOI：10.18307/2016.0611 |
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| 基金项目:江苏省基础研究计划太湖专项（BK2007745）、江苏省科技支撑计划项目（BE2011840）和江苏省气象局重点项目（KZ201403）联合资助. |
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| Applying remote sensing techniques in analysis of temperature features causing cyanobacteria bloom in Lake Taihu |
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LI Yachun1, XIE Xiaoping1, ZHU Xiaoli2, HANG Xin1, LI Xinyi3, JING Yuanshu3
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1.Meteorological Bureau of Jiangsu Province, Nanjing 210008, P. R. China;2.Changzhou Meteorological Bureau, Changzhou 213022, P. R. China;3.Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China
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| Abstract: |
| Air temperature plays an important role in the recruitmen, growth, and formation of cyanobacteria bloom, as well as, the large area outbreak and decline of water bloom in Lake Taihu. In order to find out the relationships between the formation of cyanobacteria bloom in Lake Taihu and surface temperature, meteorological data and satellite observations of the lake and surrounding areas from 2003 to 2013 were used to perform quantitative analysis in this paper. It is found that there is a wide range of daily average temperature (0-35.0℃)suitable for cyanobacteria bloom appearing. Specifically, when daily average temperature falls between 15.1 and 35.0℃, the frequency of cyanobacteria bloom occurrences increases, leading to the accumulate frequency and accumulate area of cyanobacteria bloom accounted for 85% and 90%, respectively. The large area of cyanobacteria bloom mainly occurs in the daily average temperature range from 20.1 to 35.0℃, with the accumulate frequency and accumulate area accounted for 72% and 73%, respectively. Meanwhile, the probability of cyanobacteria bloom appearance increases as average temperature rising, showing a quadratic positive correlation. Moreover, single average area of cyanobacteria bloom fluctuates near the mean value of temperature, which decreases rapidly when daily average temperature reaches 33℃.It shows that temperature is not the limiting factor for appearance of cyanobacteria bloom after it is resuscitated. Moderate high temperature benefits formation of cyanobacteria bloom, and becomes inhibiting factor when it reaches above 33℃. On the basis of analysis, the relationship to temperature, quantitative indicators of four stages of cyanobacteria bloom are identified. These four stages include dormant, recruitmen, growth and decline periods, and their initial and final critical temperature are (0℃,5℃),(5℃,15℃),(15℃,30℃) and (30℃,0℃), respectively. Relating to critical temperature, the corresponding date could be pinpointed for the four stages of cyanobacteria bloom. This study provides a basis for the prevention and control of algae bloom. |
| Key words: Cyanobacteria bloom surface temperature remote sensing critical temperature Lake Taihu |
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