Spatial and temporal variations and trends of SST and Chl-a in the Persian Gulf were evaluated using MODIS data from 2002 to 2018. Trend indicator and key features were built up based on Mann-Kendall test, Hurst exponents and Wavelet Transform (WT) techniques to investigated the volatilities, trend estimation and persistence of original and WT signals. The key features revealed that the Chl-a pattern is heterogeneous in both time and spatial scale, whereas SST pattern is more homogenous. Trend analysis of the study area showed identifiable and sustainable trend with maximum tendency to decrease of Chl-a, and increase of SST. More than 48% of the study area is under slight decrease, and about 20% area mostly located at the northern parts show slight increase of Chl-a values. The presented methodology is applicable to the data signals that keep the range of inter-annual approximation components of DWT not less than scale level-4.

使用2002年至2018年的MODIS数据评估了波斯湾SST和Chla的时空变化和趋势。基于Mann-Kendall检验，Hurst指数和小波变换（WT）技术建立了趋势指标和关键特征。调查原始信号和WT信号的波动性，趋势估计和持久性。主要特点显示，Chl-一个模式在时间和空间尺度上都是异质的，而SST模式则更为同质。研究区域的趋势分析显示出可识别且可持续的趋势，其中最大的Chl-a降低趋势和SST升高趋势。超过48％的研究区域略有减少，大约20％的区域（主要位于北部）显示Chl-a值略有增加。所提出的方法适用于保持DWT的年际近似分量范围不小于4级标度的数据信号。