排序方式： 共有56条查询结果，搜索用时 31 毫秒
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近20年渤海叶绿素a浓度时空变化 总被引：3，自引：0，他引：3
浮游植物作为食物链的基础，对海洋生态系统具有重要作用。渤海作为我国最大的内海和重要渔业生物的产卵场、育幼场和索饵场，该区浮游植物研究具有重要意义。叶绿素a浓度是反映浮游植物生物量的重要指标。利用Google Earth Engine平台，对1997–2010年的宽视场海洋观测传感器(SeaWiFS)叶绿素a浓度数据和2002–2018年的水色卫星中分辨率成像光谱仪传感器(MODIS Aqua)叶绿素a浓度数据进行合并，并研究其时空变化特征。研究表明，近20年来，渤海全年叶绿素a浓度增加了14.1%，且增加显著。叶绿素a浓度在所有季节都呈现增加趋势；除11月外，其他各月都呈现稳定或增加趋势。从滦河入河口沿岸至渤海海峡的渤海中部，叶绿素a浓度增加较明显。同时也分析了海洋表面温度、风速和降水量数据。夏季渤海周边区域降水量和风速增加以及秋季海表温度的降低都有助于同季叶绿素a浓度的升高。渤海浮游植物可能受陆源营养物质输入影响较大。 相似文献
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中分辨率成像光谱仪(CMODIS)是我国“神舟3号”飞船上对地观测主载荷,是我国第一台上天的具有测量海面叶绿素a浓度能力的成像光谱仪.利用宽视场海洋水色扫描仪(SeaWiFS)反演叶绿素a浓度作为参考值建立CMODIS资料处理模型,得到三个基于蓝绿波段比值法的叶绿素a浓度反演算法,平均相对误差分别为26.6%,24%和33.5%,均方根误差分别为1.16,1.15和1.23 mg/m3.在叶绿素a浓度反演误差允许范围小于35%的条件下,比值算法的适用范围为悬浮泥沙浓度小于5 g/m3的海区.悬浮泥沙的强散射作用导致比值算法在高悬浮泥沙浓度条件下产生高估叶绿素a浓度反演值的现象;在中低悬浮泥沙浓度的海区,悬浮泥沙和浮游植物对离水辐亮度的综合作用使比值算法存在低估叶绿素a浓度的趋势. 相似文献
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就1998年2－3月台湾海峡AVHRR表层水温和SeaWiFS叶绿素数据以及当年2月20日至3月8日在台湾海峡北部海区所实施的多学科现场调查资料进行综合分析，着重探讨暖水入侵的过程及其生态响应。结果表明，1998年冬季由澎湖水道北上进入台湾海峡的高温高盐黑潮入侵水强度大于往年，在2月8日－3月13日期间不断增强，直至侵占整个海峡东侧海域，迫使低温低盐且富含营养盐的闽浙沿岸水主流顺大陆沿岸南下。这一过程向海峡西侧海域输入营养盐并使之达到适宜的水温，极可能是西侧海域出现叶绿素高值区、呈现出与往年相反的叶绿素分布态势的主控机制。分析这一现象与1997－1998年的E1 Nino事件可能存在着某种关联。 相似文献
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V. D. Valavanis I. Katara A. Palialexis 《International journal of geographical information science》2013,27(10):1131-1147
A new method (the ‘sink’ method) is proposed for the mapping of productive mesoscale oceanic thermal fronts based on the combined analysis of satellite imagery for sea surface temperature (SST) distribution and chlorophyll (CHL) concentration under a Geographic Information System (GIS). In an SST lattice data array, data value sinks describe heterogeneous drops in SST distribution as this is compared to more homogeneously distributed SST in the surrounding area. Using Arc/Info GIS, these thermal discontinuities are flagged and applied on SST and CHL imagery for the calculation of differences in SST and CHL patterns (DSST and DCHL) inside and outside of these flagged areas. Spatially connected sinks that are characterized by simultaneous negative DSST and positive DCHL pattern are mapped as thermal fronts. Results include a time series of monthly front occurrence GIS maps in Eastern Mediterranean waters along with three calculated front characteristics (DSST, DCHL and bathymetry). Comparisons between the mapped fronts and isobath distributions present clearly visible front‐to‐isobath spatial and shape associations while spatial analysis between front and wind data explains 66% of the number of mapped fronts. 相似文献
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1998～2010年夏季台湾海峡西部沿岸海水遥感透明度的年际变化 总被引：1，自引：0，他引：1
通过比较分析不同的透明度卫星遥感算法,提出将一个基于固有光学特性的、适用于沿岸海域的算法应用于台湾海峡西岸海域,反演获得1998～2010年SeaWiFS遥感透明度时间序列.根据这组时间序列数据,发现该海域夏季透明度低值(<4 m)年份出现在1998、2001和2006年,高值(最高值达到10 m)年份出现在1999、2004和2010年.控制这一年际变动的因素,以目前有限的数据来看,主要是径流与上升流共同引发的水华强度的变化.此外,该海域透明度在研究时段内没有呈现一定的变化趋势,甚至在2006年之后,似乎在持续加深,说明海峡西岸活跃的经济活动,在1998～2010的13 a间,暂时没有对沿岸水质产生显著的破坏性的影响. 相似文献
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Toru Hirawake Hiroo Satoh Takashi Ishimaru Yukuya Yamaguchi Motoaki Kishino 《Journal of Oceanography》2000,56(3):245-260
Both historic and currently operational chlorophyll algorithms of the satellite-borne ocean color sensors, such as SeaWiFS, were evaluated for in situ spectral radiation and chlorophyll data in some Case I waters, including the waters in the Indian Ocean sector of the Southern Ocean. Chlorophyll a concentration of the data set (n = 73) ranged from 0.04 to 1.01 mg m–3. The algorithms had higher accuracy for the low- and mid-latitude waters (RMSE: 0.163–0.253), specifically the most recently developed algorithms of OCTS and Sea WiFS showed 0.163 and 0.170 of Root Mean Square Errors, respectively. However, these algorithms had large errors (0.422–0.621) for the Southern Ocean data set and underestimated the surface chlorophyll by more than a factor of 2.6. The absorption coefficients in the blue spectral region retrieved from remote sensing reflectance varied in a nonlinear manner with chlorophyll a concentration, and the value in the Southern Ocean was significantly lower than that in the low- and mid-latitude waters for each chlorophyll a concentration. The underestimation of chlorophyll a concentration in the Southern Ocean with these algorithms was caused by the lower specific absorption coefficient in the region compared with the low- and mid-latitude waters under the same chlorophyll a concentration. 相似文献
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Study on the seasonal variation of the suspended sediment distribution and transportation in the East China Seas based on SeaWiFS data 总被引：2，自引：0，他引：2
The monthly mean suspended sediment concentration in the upper layer of the East China Seas was derived from theretrieval of the monthly binned SeaWiFS Level 3 data during 1998 to 2006.The seasonal variation and spatial distribution of thesuspended sediment concentration in the study area were investigated.It was found that the suspended sediment distribution presentsapparent spatial characteristics and seasonal variations,which are mainly affected by the resuspension and transportation of the sus-pended sediment in the study area.The concentration of suspended sediment is high inshore and low offshore,and river mouths aregenerally high concentration areas.The suspended sediment covers a much wider area in winter than in summer,and for the samesite the concentration is generally higher in winter.In the Yellow and East China Seas the suspended sediment spreads farther to theopen sea in winter than in summer,and May and October are the transitional periods of the extension.Winds,waves,currents,ther-mocline,halocline,pycnocline as well as bottom sediment feature and distribution in the study area are important influencing factorsfor the distribution pattern.If the 10mg L-1 contour line is taken as an indicator,it appears that the transportation of suspended sedi-ment can hardly reach 124°00'E in summer or 126°00'E in winter,which is due to the obstruction of the Taiwan Warm Current andthe Kuroshio Current in the southern Yellow Sea and the East China Sea. 相似文献
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《African Journal of Marine Science》2013,35(3):351-356
The aerosol products derived from the ocean colour missions SeaWiFS and MODIS (Aqua and Terra) were assessed with AERONET field measurements collected at sites in Mozambique (Inhaca) and Kenya (Malindi). The median of absolute relative differences between satellite and AERONET aerosol optical thickness τa at 443 nm varied between 12% and 22% for the different missions and sites. These differences tended to be higher at Malindi and for longer wavelengths. This analysis was supplemented by data collected offshore in the framework of the Maritime Aerosol Network. Results showed a general consistency between satellite missions and with global validation statistics. This suggests that the uncertainties associated with the atmospheric correction scheme and consequently with the distributions of ocean colour reflectance in the study area may be compared with those found in other regions. This result lends some confidence to the use of ocean colour data in the coastal waters of south-eastern Africa. 相似文献