In this study,using Moderate Resolution Imaging Spectroradiometer(MODIS)satellite images and environmental satellite CCD images,the spatio-temporal distribution of Ulva prolifera in the southern Yellow Sea during the ...In this study,using Moderate Resolution Imaging Spectroradiometer(MODIS)satellite images and environmental satellite CCD images,the spatio-temporal distribution of Ulva prolifera in the southern Yellow Sea during the period of 2011–2018 was extracted and combined with MODIS Level3 Photosynthetically Active Radiation(PAR)product data and Earth System Research Laboratory(ESRL)Sea Surface Temperature(SST)data to analyze their influences on the growth and outbreak of Ulva prolifera.The following conclusions were drawn:1)comprehensive analysis of Ulva prolifera distribution during the eight-year period revealed that the coverage area of Ulva prolifera typically exhibited a gradually increasing trend.The coverage area of Ulva prolifera reached a maximum of approximately 1714.21 km^2 during the eight-year period in late June 2015.The area affected by Ulva prolifera fluctuated.In mid-July 2014,the area affected by Ulva prolifera reached a maximum of approximately 39020.63 km^2.2)The average growth rate of Ulva prolifera was positive in May and June but negative in July.During the outbreak of Ulva prolifera,the SST in the southern Yellow Sea tended to increase each month.The SST anomaly and average growth rate of Ulva prolifera were positively correlated in May(R^2=0.62),but not significantly correlated in June or July.3)The variation trends of PAR and SST were approximately the same,and the PAR during this time period maintained a range of 40–50 mol/(m^2·d),providing sufficient illumination for the growth and outbreak of Ulva prolifera.In addition,the abundant nutrients and suitable temperature in the sea area near northern Jiangsu shoal resulted in a high growth rate of Ulva prolifera in May.In summary,the outbreak of Ulva prolifera was closely related to the environmental factors including SST,nutrients,and PAR.Sufficient nutrients and suitable temperatures resulted in a fast growth rate of Ulva prolifera.However,under poor nutrient conditions,even more suitable temperatures were not sufficient to trigger an outbreak of Ulva prolifera.展开更多
The variation in Arctic sea ice has significant implications for climate change due to its huge influence on the global heat balance. In this study, we quantified the spatio-temporal variation of Arctic sea ice distri...The variation in Arctic sea ice has significant implications for climate change due to its huge influence on the global heat balance. In this study, we quantified the spatio-temporal variation of Arctic sea ice distribution using Advanced Microwave Scanning Radiometer(AMSR-E) sea-ice concentration data from 2003 to 2013. The results found that, over this period, the extent of sea ice reached a maximum in 2004, whereas in 2007 and 2012, the extent of summer sea ice was at a minimum. It declined continuously from 2010 to 2012, falling to its lowest level since 2003. Sea-ice extent fell continuously each summer between July and mid-September before increasing again. It decreased most rapidly in September, and the summer reduction rate was 1.35 × 10~5 km^2/yr, twice as fast as the rate between 1979 and 2006, and slightly slower than from 2002 to 2011. Area with >90% sea-ice concentration decreased by 1.32 × 10~7 km^2/yr, while locations with >50% sea-ice concentration, which were mainly covered by perennial ice, were near the North Pole, the Beaufort Sea, and the Queen Elizabeth Islands. Perennial Arctic ice decreased at a rate of 1.54 × 10~5 km^2 annually over the past 11 years.展开更多
海洋一号C(HY-1C)卫星搭载的海岸带成像仪CZI(Coastal Zone Imager)广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV(Wide Field of View)影像提取的绿潮覆盖面积作为参考值,从绿潮漏检率和覆盖面积定量评估了CZI影...海洋一号C(HY-1C)卫星搭载的海岸带成像仪CZI(Coastal Zone Imager)广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV(Wide Field of View)影像提取的绿潮覆盖面积作为参考值,从绿潮漏检率和覆盖面积定量评估了CZI影像的绿潮监测能力,并与250 m分辨率的MODIS提取结果进行了对比分析。结果表明,CZI影像的绿潮平均漏检率只有MODIS影像的1/5左右,绿潮覆盖面积比MODIS影像小50%以上。MODIS和CZI影像的绿潮覆盖面积呈线性相关,将MODIS影像的绿潮覆盖面积转换为CZI结果;该结果显示,2019年、2021年度绿潮最大覆盖面积为2000 km^(2)左右,是2020年同期的6倍左右。在绿潮监测方面,相比于MODIS,CZI影像的绿潮漏检率较低且覆盖面积更接近真实参考值。本研究建立了CZI与目前较常用的MODIS绿潮覆盖面积的转换关系,可弥补CZI观测频次的缺陷,进而实现绿潮高频次观测。展开更多
基金Under the auspices of Natural Science Foundation of Shandong(No.ZR2019MD041)National Natural Science Foundation of China(No.41676171)+2 种基金Qingdao National Laboratory for Marine Science and Technology of China(No.2016ASKJ02)Natural Science Foundation of Shandong(No.ZR2015DM015)Development and Construction Funds Project of National Independent Innovation Demonstration Zone in Shandong Peninsula(No.ZCQ17117)。
文摘In this study,using Moderate Resolution Imaging Spectroradiometer(MODIS)satellite images and environmental satellite CCD images,the spatio-temporal distribution of Ulva prolifera in the southern Yellow Sea during the period of 2011–2018 was extracted and combined with MODIS Level3 Photosynthetically Active Radiation(PAR)product data and Earth System Research Laboratory(ESRL)Sea Surface Temperature(SST)data to analyze their influences on the growth and outbreak of Ulva prolifera.The following conclusions were drawn:1)comprehensive analysis of Ulva prolifera distribution during the eight-year period revealed that the coverage area of Ulva prolifera typically exhibited a gradually increasing trend.The coverage area of Ulva prolifera reached a maximum of approximately 1714.21 km^2 during the eight-year period in late June 2015.The area affected by Ulva prolifera fluctuated.In mid-July 2014,the area affected by Ulva prolifera reached a maximum of approximately 39020.63 km^2.2)The average growth rate of Ulva prolifera was positive in May and June but negative in July.During the outbreak of Ulva prolifera,the SST in the southern Yellow Sea tended to increase each month.The SST anomaly and average growth rate of Ulva prolifera were positively correlated in May(R^2=0.62),but not significantly correlated in June or July.3)The variation trends of PAR and SST were approximately the same,and the PAR during this time period maintained a range of 40–50 mol/(m^2·d),providing sufficient illumination for the growth and outbreak of Ulva prolifera.In addition,the abundant nutrients and suitable temperature in the sea area near northern Jiangsu shoal resulted in a high growth rate of Ulva prolifera in May.In summary,the outbreak of Ulva prolifera was closely related to the environmental factors including SST,nutrients,and PAR.Sufficient nutrients and suitable temperatures resulted in a fast growth rate of Ulva prolifera.However,under poor nutrient conditions,even more suitable temperatures were not sufficient to trigger an outbreak of Ulva prolifera.
基金Under the auspices of National Natural Science Foundation of China(No.41676171)Qingdao National Laboratory for Marine Science and Technology of China(No.2016ASKJ02)+1 种基金Natural Science Foundation of Shandong(No.ZR2015DM015)Yantai Science&Technology Project(No.2013ZH094)
文摘The variation in Arctic sea ice has significant implications for climate change due to its huge influence on the global heat balance. In this study, we quantified the spatio-temporal variation of Arctic sea ice distribution using Advanced Microwave Scanning Radiometer(AMSR-E) sea-ice concentration data from 2003 to 2013. The results found that, over this period, the extent of sea ice reached a maximum in 2004, whereas in 2007 and 2012, the extent of summer sea ice was at a minimum. It declined continuously from 2010 to 2012, falling to its lowest level since 2003. Sea-ice extent fell continuously each summer between July and mid-September before increasing again. It decreased most rapidly in September, and the summer reduction rate was 1.35 × 10~5 km^2/yr, twice as fast as the rate between 1979 and 2006, and slightly slower than from 2002 to 2011. Area with >90% sea-ice concentration decreased by 1.32 × 10~7 km^2/yr, while locations with >50% sea-ice concentration, which were mainly covered by perennial ice, were near the North Pole, the Beaufort Sea, and the Queen Elizabeth Islands. Perennial Arctic ice decreased at a rate of 1.54 × 10~5 km^2 annually over the past 11 years.
文摘海洋一号C(HY-1C)卫星搭载的海岸带成像仪CZI(Coastal Zone Imager)广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV(Wide Field of View)影像提取的绿潮覆盖面积作为参考值,从绿潮漏检率和覆盖面积定量评估了CZI影像的绿潮监测能力,并与250 m分辨率的MODIS提取结果进行了对比分析。结果表明,CZI影像的绿潮平均漏检率只有MODIS影像的1/5左右,绿潮覆盖面积比MODIS影像小50%以上。MODIS和CZI影像的绿潮覆盖面积呈线性相关,将MODIS影像的绿潮覆盖面积转换为CZI结果;该结果显示,2019年、2021年度绿潮最大覆盖面积为2000 km^(2)左右,是2020年同期的6倍左右。在绿潮监测方面,相比于MODIS,CZI影像的绿潮漏检率较低且覆盖面积更接近真实参考值。本研究建立了CZI与目前较常用的MODIS绿潮覆盖面积的转换关系,可弥补CZI观测频次的缺陷,进而实现绿潮高频次观测。
