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Monitoring Long-term Ocean Health Using Remote Sensing: A Case Study of the Bay of Bengal

机译:使用遥感监测长期海洋健康:孟加拉湾的案例研究

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Oceans play a significant role in the global carbon cycle and climate change, and the most importantly it is a reservoir forplenty of protein supply, and at the center of many economic activities. Ocean health is important and can be monitoredby observing different parameters, but the main element is the phytoplankton concentration (chlorophyll-aconcentration) because it is the indicator of ocean productivity. Many methods can be used to estimate chlorophyll-a(Chl-a) concentration, among them, remote sensing technique is one of the most suitable methods for monitoring theocean health locally, regionally and globally with very high temporal resolution.In this research, long term ocean health monitoring was carried out at the Bay of Bengal considering three facts i.e. i)very dynamic local weather (monsoon), ii) large number of population in the vicinity of the Bay of Bengal, and iii) thefrequent natural calamities (cyclone and flooding) in and around the Bay of Bengal. Data (ten years: from 2001 to 2010)from SeaWiFS and MODIS were used. Monthly Chl-a concentration was estimated from the SeaWiFS data using OC4algorithm, and the monthly sea surface temperature was obtained from the MODIS sea surface temperature (SST) data.Information about cyclones and floods were obtained from the necessary sources and in-situ Chl-a data was collectedfrom the published research papers for the validation of Chl-a from the OC4 algorithm. Systematic random sampling wasused to select 70 locations all over the Bay of Bengal for extracting data from the monthly Chl-a and SST maps. Finallythe relationships between different aspects i.e. i) Chl-a and SST, ii) Chl-a and monsoon, iii) Chl-a and cyclones, and iv)Chl-a and floods were investigated monthly, yearly and for long term (i.e 10 years). Results indicate that SST, monsoon,cyclone, and flooding can affect Chl-a concentration but the effect of monsoon, cyclone, and flooding is temporal, andnormally reduces over time. However, the effect of SST on Chl-a concentration can't be minimized very quicklyalthough the change of temperature over this period is not very large.
机译:发挥海洋在全球碳循环和气候变化显著的作用,而最重要的是它是蛋白质供应的水库forplenty,并在许多经济活动的中心。海洋的健康是很重要的,可以是monitoredby观察不同的参数,但主要因素是浮游植物浓度(叶绿素aconcentration),因为它是海洋生产力的指标。许多方法可以用来估计叶绿素a(叶绿素a)的浓度,其中,遥感技术是用于监视健康theocean局部,区域和全球具有非常高的时间resolution.In本研究最合适的方法之一,长长期海洋健康监控在孟加拉湾的考虑三个事实进行即我)非常有活力的当地天气(季风),II)在孟加拉湾附近大量的人口,以及iii)thefrequent自然灾害(飓风和洪水)和周围孟加拉湾。数据(一十岁2001年至2010年),从SeaWiFS的MODIS和使用。每月叶绿素a浓度从所述的SeaWiFS数据使用OC4algorithm估计,以及从约旋风和水灾的MODIS海面温度(SST)data.Information得到每月海面温度从必要源和原位Chl-获得一个数据是collectedfrom发表的研究论文对叶绿素a从OC4算法的验证。系统随机抽样wasused选择遍布孟加拉湾70个地点用于提取从月度数据叶绿素a和SST映射。不同方面之间Finallythe关系,即ⅰ)叶绿素a和SST,ⅱ)叶绿素a和季风,ⅲ)叶绿素a和气旋,和iv)叶绿素a和洪水进行每月调查,年度和长期(即10年)。结果表明,SST,季风,旋流器,和洪水可以影响叶绿素a浓度,但季风,旋流器的效果,并且被水浸时间,andnormally降低随着时间的推移。然而,SST对叶绿素a浓度的影响不能被最小化非常quicklyalthough温度在此期间的变化不是很大。

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