湖面亮温对巢湖水华影响的遥感监测分析
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摘要
利用2002~2007年NOAA气象卫星搭载的先进甚高光谱分辨率辐射计(NOAA/AVHRR)资料,对巢湖蓝藻水华发生频次和湖面亮温的时空分布规律进行统计分析,得到巢湖水体表面亮温的时空分布规律,并探讨其与气温、降水等气象因子以及水华之间的关系和可能存在的机制.从结果来看,湖面亮温与水华发生频次的空间分布规律相近,而在时间分布上存在着较大的差别.一方面,空间分布的相似性表明,湖面亮温高的区域容易发生水华现象;另一方面;时间分布的不一致性表明还有其它的因素会影响水华的发生.通过讨论,得出以下结论:①以5月为分界线,巢湖水华总体上可以分为春季和夏季两大暴发期,春季藻类在较低的水温条件下就能生长繁殖,并暴发水华,但难以形成较大的规模.②受降水量增加的影响,在气温达到最高值的7月不仅湖面亮温所有降低,而且水华发生频次也有所减少.
        This article used the remote sensing data from 2002 to 2007 obtained by NOAA/AVHRR to analyze the relationship between algae bloom and lake surface bright temperature in Chaohu Lake.The spatial distribution of Chaohu Lake surface bright temperature was found to be similar to that of the occurrence frequencies of algae bloom.Algae blooms occurred frequently in the region with high bright temperature.In terms of temporal distribution,there was significant difference between the bright temperature and algae bloom,which indicated that the algae bloom could be affected by factors other than the temperature.From the analysis,the following conclusions were drawn.First,the break out season of algae bloom could be divided into spring and summer periods in annual variation,with May as the dividing point.In the spring break out season,the growth and propagation of algae did not depend on the temperature of water,and the affected areas of algae bloom were usually small.Secondly,with the increase of precipitation in July,the bright temperature and the occurrence frequency of algae bloom were decreased.
引文
[1]潘德炉,马荣华.湖泊水质遥感的几个关键问题[J].湖泊科学,2008,20(2):173-178.
    [2]段洪涛,张寿选,张渊智.太湖蓝藻水华遥感监测方法[J].湖泊科学,2008,20(2):145-152.
    [3]李旭文,季耿善,杨静.太湖梅梁湖湾蓝藻生物量遥感估算[J].国土资源遥感,1995,(2):23-28.
    [4]胡雯,吴文玉,孔庆欣,等.用FY-1C/CAVHRR数据估算巢湖蓝藻叶绿素的含量[J].南京气象学院学报,2002,25(1):124-128.
    [5]佘丰宁,蔡启铭,陈宇炜,等.水体叶绿素含量的遥感定量模型,太瑚环境生态研究[M].北京:气象出版杜,1998.216-222.
    [6]段洪涛,张寿选,张渊智.太湖蓝藻水华遥感监测方法[J].湖泊科学,2008,20(2):145-152.
    [7]周立国,冯学智,王春红,等.太湖蓝藻水华的MODIS卫星监测[J].湖泊科学,2008,20(2):203-207.
    [8]陈云,戴锦芳.基于遥感数据的太湖蓝藻水华信息识别方法[J].湖泊科学,2008,20(2):179-183.
    [9]梅长青,王心源,彭鹏.应用MODIS数据监测巢湖蓝藻水华的研究[J].遥感技术与应用,2008,23(3):328-332.
    [10]荀尚培,翟武权,范伟.MODIS巢湖水体叶绿素a浓度反演模型[J].应用气象学报,2009,25(1):95-101.
    [11]曾维华.多源信息融合技术在内陆湖库水华预警中的研究进展与展望[J].长江流域资源与环境,2009,18(1):72-78.
    [12]张红,黄勇,姚筠,等.巢湖藻类遥感监测和气象因子分析[J].环境科学与技术,2009,32(1):118-121.
    [13]黄明,洪天求.基于主成分分析的巢湖水质影响因子研究[J].合肥工业大学学报(自然科学版),2005,28(6):639-642.
    [14]殷福才,张之源.巢湖富营养化研究进展[J].湖泊科学,2003,15(4):377-384.
    [15]屠清瑛,顾丁锡,尹澄清,等.巢湖富营养化研究[M].合肥:中国科技大学出版社,1990:1-117.
    [16]吴传庆,王桥,杨志峰,等.太湖水华的遥感分析[J].中国环境监测,2007,23(3):52-56.
    [17]王得玉,冯学智,周立国,等.太湖蓝藻爆发与水温的关系的MODIS遥感[J].湖泊科学,2008,20(2):173-178.
    [18]张红,黄勇.基于NOAA/AVHRR卫星资料的巢湖水华规律环境科学33卷分析[J].中国环境科学,2009,29(7):727-732.
    [19]胡雯,杨世植,翟武全,等.NOAA卫星监测巢湖蓝藻水华的试验分析[J].环境科学与技术,2002,25(1):16-17.
    [20]Qin Z,Karnieli A,Berliner P.A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region[J].International journal of Remote Sensing,2001,22(18):3719-3746.
    [21]Deng D G,Xie P,Zhou Q,et al.Studies on temporal and spatial variations of phytoplankton in Lake Chaohu[J].Journal of Integrative Plant Biology,2007,49(4):409-418.
    [22]郭劲松,陈杰,李哲,等.156m蓄水后三峡水库小江回水区春季浮游植物调查及多样性评价[J].环境科学,2008,29(10):2710-2715.
    [23]张良璞.巢湖藻类群落多样性分析[J].生物学杂志,2007,24(6):53-54.
    [24]吴晓东,孔繁翔,张晓峰,等.太湖与巢湖水华蓝藻越冬和春季复苏的比较研究[J].环境科学,2008,29(5):1313-1318.
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