基于空间自相关分析方法的渤海湾赤潮遥感叶绿素浓度研究

引入地学统计学中的空间数据分析方法,利用探索性分析、全局空间自相关和局部空间自相关分析对渤海湾赤潮爆发前后的遥感叶绿素浓度数据进行了研究。结果表明,渤海湾叶绿素浓度在相邻空间位置上具有高度的正空间自相关性;赤潮前渤海湾叶绿素浓度整体较低,但局部地区的叶绿素浓度表现出较大的上升随后几天又出现下降的异常现象;叶绿素浓度的全局空间自相关指数Moran's I值在赤潮爆发前变化幅度不大,在赤潮期间表现出一些不规则的异常变化;局部Moran's I的高-高型聚集在赤潮前主要分布在渤海湾南半部,赤潮期间出现分散并逐步转移到离岸区域,赤潮后期聚集在近岸区域。分析了其中的一些变化特征及异常情况,这些异常现象有可能是赤潮发生的预兆性信号,可为赤潮预报与应急提供一种新的尝试性模式。     

基于HY-1C卫星CZI数据的红树林长势遥感监测

红树林是一种以耐盐的红树植物为主体的潮滩湿地林生物群落,其生长状态对于海岸带具有重要意义,利用遥感技术对红树林进行监测已成为目前主要手段之一。本文以广西北海山口红树林为例,利用HY-1C卫星的海岸带成像仪数据,结合其纹理参数,提取红树林信息,并对红树林植被指数进行分析。结果表明:2018年10月至11月间,红树林的RVI值均大于1,其中部分区域大于5;红树林的NDVI值的变化处于0~0.01之间,NDVI均值都大于0.5;红树林的EVI指数值主要集中在0.2~0.7之间。不同的植被指数计算结果均表明山口红树林长势良好。     

Temporal and spatial variability of chlorophyll concentrations in the Bering Sea using empirical orthogonal function (EOF) analysis of remote sensing data

Seasonal and interannual variability of surface chlorophyll concentration in the Bering Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) from 1998 to 2002. The analysis of normalized monthly fields (removing temporal and spatial monthly means) shows that different temporal and spatial patterns are evident in the eastern and western Bering Sea during the spring bloom period. The first EOF mode explains 30% of the variability and shows how the eastern shelf break region and the western Bering Sea are out of phase during the spring bloom. The second EOF mode (17.6%) indicates a pattern involving the eastern shelf break region and the Kamchatka Basin. This strong east–west signal is linked by both surface winds and light. EOF modes of wind-speed anomalies, derived from Special Sensor Microwave Imager (SSM/I), and photosynthetically active radiance (PAR) from SeaWiFS, show a similar dipole feature where the east–west pattern is related to the position and strength of the Aleutian Low pressure system. In years when the Aleutian Low shifts from west to east, weaker wind stress facilitates the development of stratification resulting in a strong spring bloom in the western Bering Sea. The variability of spring chlorophyll has a strong connection with variability in atmospheric forcing in the Bering Sea.     

Seasonal and interannual variability of sea surface chlorophyll a concentration in the Japan/East Sea (JES)

Seasonal and interannual variability of chlorophyll a concentration in the Japan/East Sea (JES) was detected spatially by ocean color satellite remote sensing. Start timing of the spring bloom was different spatially. The spring bloom started at the subpolar front and southward of it in March, northward of subpolar front, along the Primorye coast and off Hokkaido in April and in the middle of the Japan Basin in May. The start of the spring bloom showed interannual variability that corresponded with the wind speed in the area. The spring bloom in 1998 and 2002 appeared about four weeks earlier than in 1997, 1999 and 2001, and it corresponded with weak winds that can lead to an early development of the thermocline. The bloom was late in 1999 and 2001 in the Japan Basin and along the Primorye coast, and in the southern area in 2000. It corresponded with stronger wind stress that delayed seasonal thermocline formation. The bloom along the Primorye coast appeared later in 1999, and it corresponded with stronger wind stress, and at the same time, it seemed to be related with the delay of melting of sea ice in Mamiya Strait. The fall bloom appeared from early October to early December, and it did not have a clear temporal transition. The area where chlorophyll a concentration exceeded 0.8 μg l⁻¹ was wider in the western area than in the eastern area every year. The magnitude of the fall bloom was different between years, but it did not show a correlation with average wind speed in fall. Those results indicated that the timing of the seasonal bloom in the JES is largely affected by the variability of global climate such as ENSO events.     

The influence of the environmental status of Casa Caiada and Rio Doce beaches (NE-Brazil) on beaches users

This paper describes the environmental status and the social perception of Casa Caiada (bay 1) and Rio Doce (bay 2 and bay 3) as a consequence of the several impacts that these beaches have been suffering. The methodology adopted in this work was based on interviews with beach users and direct observations of the physical, biological and human aspects. The obtained result denotes that in Casa Caiada the better beach quality is a consequence of the better water quality, infrastructure and services permitting a higher investment in housing development, recreation, commercialization, fishing, tourism, amongst others. In contrast, northward of Rio Doce (bay 3), the beach has been considered of bad quality for the beach users. In Casa Caiada the users were the most demanding when describing the status of the beach and the necessary changes to mitigate the actual situation. On the other hand, in the most degradated area (bay 3) the users were less demanding when proposing possible changes to improve the beach/water and life quality.     

基于复合模型的西南大西洋阿根廷滑柔鱼（Illex argentinus）时空分布研究

本文利用2003-2011年西南大西洋阿根廷滑柔鱼渔业数据和海洋环境数据,包括海表温度（sea surface temperature, SST）,海面高度（sea surface height, SSH）和叶绿素浓度（chlorophyll a, Chl a）,开发基于广义加性模型（GAM）和神经网络模型（NNM）的复合模型研究滑柔鱼资源时空分布。GAM用于选择关键影响因子,并分析与单位捕捞努力量渔获量（catch per unit effort, CPUE）的关系,NNM用于建立关键影响因子与CPUE之间的预报模型。结果表明：GAM选择的影响因子的偏差解释率为53.8%,空间变量（经度和纬度）,环境变量（SST、SSH、Chl a）均匀CPUE之间存在显著相关性。CPUE与SST和SSH之间为非线性关系,与Chl a之间为线性关系。NNM模型的MSE和ARV较低,其精度高且稳定。此复合模型也能够解释解释西南大西洋阿根廷滑柔鱼时空变化趋势和迁徙模式。     

基于高光谱传感器的长江口表层悬浮泥沙质量浓度光谱曲线特征研究#br#

悬浮泥沙质量浓度（SSC）是我国河口水体研究的重要水质参数之一,遥感测定SSC是一种重要的方法。为了研究遥感光谱数据和表层悬浮泥沙质量浓度（SSSC）之间的定量梯度关系,本文采集了长江口南汇嘴附近的表层沉积物,定量设计了SSSC的梯度变化值,利用ASD高光谱仪对不同质量浓度含沙水体进行了光学特性测量。结果表明,随着SSSC的增加,水体的光谱反射率曲线具有相似的形态,但也存在一定的差异。当SSSC<36.59 mg/L时,光谱曲线仅在560～580 nm之间有1个反射峰;当SSSC>52.69 mg/L时,光谱曲线第一反射峰位于570～710 nm,并在近红外波段780～820 nm处出现第二反射峰。光谱曲线第一峰值区间存在明显的“红移”现象,且波长的“红移”变化与SSSC的线性拟合R²达到0.91,说明两者呈较强的线性相关性。在400～900 nm光谱范围内,600～860 nm波段对0～200 mg/L范围内的SSSC变化较敏感且比较稳定,740～900 nm波段对>200 mg/L的SSSC的变化具有更强的响应能力。