Facultad de Ciencias Marinas, Universidad Autónoma de Baja California, Ensenada 22860, Mexico.
Alumni PhD Postgraduate Program in Coastal Oceanography FCM-UABC, Ensenada 22860, Mexico.
Sensors (Basel). 2019 Jul 30;19(15):3339. doi: 10.3390/s19153339.
The baseline of a specific variable defines the average behavior of that variable and it must be built from long data series that represent its spatial and temporal variability. In coastal and marine waters, phytoplankton can produce blooms characterized by a wide range of total cells number or chlorophyll a concentration. Classifying a phytoplankton abundance increase as a bloom depends on the species, the study area and the season. The objective of this study was to define the baseline of satellite absorption coefficients in Todos Santos Bay (Baja California, Mexico) to determine the presence of phytoplankton blooms based on the satellite inherent optical properties index (satellite IOP index). Two field points were selected according to historical bloom reports. To build the baseline, the data of phytoplankton absorption coefficients ( a p h y , G I O P ) and detritus plus colored dissolved organic matter (CDOM) ( a d C D O M , G I O P ) from the generalized inherent optical property (GIOP) satellite model of the NASA moderate resolution imaging spectroradiometer (MODIS-Aqua) sensor was studied for the period 2003 to 2016. Field data taken during a phytoplankton bloom event on June 2017 was used to validate the use of satellite products. The association between field and satellite data had a significant positive correlation. The satellite baseline detected a trend change from high values to low values of the satellite IOP index since 2010. Improved wastewater treatment to waters discharged into the Bay, and increased aquaculture of filter-feeding mollusks could have been the cause. The methodology proposed in this study can be a supplementary tool for permanent in situ monitoring programs. This methodology offers several advantages: A complete spatial coverage of the specific coastal area under study, appropriate temporal resolution and a tool for building an objective baseline to detect deviation from average conditions during phytoplankton bloom events.
特定变量的基线定义了该变量的平均行为,它必须基于代表其时空可变性的长数据系列构建。在沿海和海洋水域,浮游植物可以产生具有广泛总细胞数或叶绿素 a 浓度的水华。将浮游植物丰度增加归类为水华取决于物种、研究区域和季节。本研究的目的是确定托多斯桑托斯湾(墨西哥下加利福尼亚州)卫星吸收系数的基线,以便根据卫星固有光学特性指数(卫星 IOP 指数)确定浮游植物水华的存在。根据历史水华报告选择了两个野外点。为了建立基线,研究了 2003 年至 2016 年期间 NASA 中分辨率成像光谱仪(MODIS-Aqua)传感器的广义固有光学特性(GIOP)卫星模型中的浮游植物吸收系数(aphyt,GIOP)和碎屑加有色溶解有机物(CDOM)(adCDOM,GIOP)数据。2017 年 6 月浮游植物水华期间采集的野外数据用于验证卫星产品的使用。野外数据和卫星数据之间存在显著的正相关。自 2010 年以来,卫星基线检测到卫星 IOP 指数从高值到低值的趋势变化。这可能是由于向海湾排放的污水得到了更好的处理,以及滤食性贝类养殖的增加所致。本研究提出的方法可以作为永久现场监测计划的补充工具。该方法具有以下几个优点:可以对研究的特定沿海地区进行完整的空间覆盖,具有适当的时间分辨率,并且是构建客观基线以检测浮游植物水华期间平均条件偏差的工具。