[1] S HAFEEZ, M WONG et al. Comparison of machine learning algorithms for retrieval of water quality indicators in case-II waters：A case study of Hong Kong. Remote Sensing, 11, 617(2019).

[2] K L ZHANG, X B ZHAO, J XUE et al. The temporal and spatial variation of chlorophyll a concentration in the China Seas and its impact on marine fisheries. Frontiers in Marine Science, 10, 1212992(2023).

[3] W J MOSES, A A GITELSON, S BERDNIKOV et al. Estimation of chlorophyll- a concentration in case II waters using MODIS and MERIS data—Successes and challenges. Environmental Research Letters, 4(2009).

[4] Y YU, X G XING, H L LIU et al. The variability of chlorophyll-a and its relationship with dynamic factors in the basin of the South China Sea. Journal of Marine Systems, 200, 103230(2019).

[5] S SHEN, G G LEPTOUKH, J G ACKER et al. Seasonal variations of chlorophyll $a$ concentration in the northern South China Sea. IEEE Geoscience and Remote Sensing Letters, 5, 315-319(2008).

[6] A L DELGADO, I HERNÁNDEZ-CARRASCO, V COMBES et al. Patterns and trends in chlorophyll-a concentration and phytoplankton phenology in the biogeographical regions of southwestern Atlantic. Journal of Geophysical Research： Oceans, 128(2023).

[7] D L TANG, H KAWAMURA, T VAN DIEN et al. Offshore phytoplankton biomass increase and its oceanographic causes in the South China Sea. Marine Ecology Progress Series, 268, 31-41(2004).

[8] H N T HUYNH, A ALVERA-AZCÁRATE, J M BECKERS. Analysis of surface chlorophyll a associated with sea surface temperature and surface wind in the South China Sea. Ocean Dynamics, 70, 139-161(2020).

[9] H SU, X M LU, Z Q CHEN et al. Estimating coastal chlorophyll-a concentration from time-series OLCI data based on machine learning. Remote Sensing, 13, 576(2021).

[10] L A FREEMAN, D R CORBETT, A M FITZGERALD et al. Impacts of urbanization and development on estuarine ecosystems and water quality. Estuaries and Coasts, 42, 1821-1838(2019).

[11] S D SHAYO, C LUGOMELA, J F MACHIWA. Influence of land use patterns on some limnological characteristics in the south-eastern part of Lake Victoria， Tanzania. Aquatic Ecosystem Health & Management, 14, 246-251(2011).

[12] W Z ZHANG, H L WANG, F CHAI et al. Physical drivers of chlorophyll variability in the open South China Sea. Journal of Geophysical Research： Oceans, 121, 7123-7140(2016).

[13] D Y LIU, Y Q WANG. Trends of satellite derived chlorophyll-a （1997–2011） in the Bohai and Yellow Seas， China： Effects of bathymetry on seasonal and inter-annual patterns. Progress in Oceanography, 116, 154-166(2013).

[14] D DEGOBBIS, R PRECALI, I IVANCIC et al. Long-term changes in the northern Adriatic ecosystem related to anthropogenic eutrophication. International Journal of Environment and Pollution, 13, 495(2000).

[15] H L ZHANG, Z F QIU, D Y SUN et al. Seasonal and interannual variability of satellite-derived chlorophyll-a （2000–2012） in the Bohai Sea， China. Remote Sensing, 9, 582(2017).

[16] H J HUANG, W WANG, J P LV et al. Relationship between chlorophyll a and environmental factors in lakes based on the random forest algorithm. Water, 14, 3128(2022).

[17] K STEFANIDIS, G VARLAS, A VOURKA et al. Delineating the relative contribution of climate related variables to chlorophyll-a and phytoplankton biomass in lakes using the ERA5-Land climate reanalysis data. Water Research, 196, 117053(2021).

[18] J F FENG, J M DURANT, L C STIGE et al. Contrasting correlation patterns between environmental factors and chlorophyll levels in the global ocean. Global Biogeochemical Cycles, 29, 2095-2107(2015).

[19] Xiaofang GUO, Jun SONG, Junru GUO et al. Spatio-temporal evolution characteristics of chlorophyll a concentration in the Northern Yellow Sea based on remote sensing data. Marine Science Bulletin, 39, 705-716(2020).

[20] T FARDOSHI, M R GOLDER, M A ROUF et al. Seasonal and spatial variability of chlorophyll-a in response to ENSO and ocean current in the maritime boundary of Bangladesh. Journal of Marine Sciences, 2023, 2843608(2023).

[21] N ZHAO, G L ZHANG, S ZHANG et al. Temporal-spatial distribution of chlorophyll-a and impacts of environmental factors in the Bohai Sea and Yellow Sea. IEEE Access, 7, 160947-160960(2019).

[22] C A CHEN, H H HSU, C C HONG et al. Seasonal precipitation change in the Western North Pacific and East Asia under global warming in two high-resolution AGCMs. Climate Dynamics, 53, 5583-5605(2019).

[23] Z Y LIU, H J YANG, Q Y LIU. Regional dynamics of seasonal variability in the South China Sea. Journal of Physical Oceanography, 31, 272-284(2001).

[24] J WEI, Y D ZHONG, J L FAN. Estimating the spatial heterogeneity and seasonal differences of the contribution of tourism industry activities to night light index by POI. Sustainability, 14, 692(2022).

[25] N Z ZHAO, Y LIU, F C HSU et al. Time series analysis of VIIRS-DNB nighttime lights imagery for change detection in urban areas： A case study of devastation in Puerto Rico from hurricanes Irma and Maria. Applied Geography, 120, 102222(2020).

[26] N LEVIN, C C M KYBA, Q L ZHANG et al. Remote sensing of night lights： A review and an outlook for the future. Remote Sensing of Environment, 237, 111443(2020).

[27] C D ELVIDGE, P C SUTTON, T GHOSH et al. A global poverty map derived from satellite data. Computers & Geosciences, 35, 1652-1660(2009).

[28] Deren LI, Xi LI. An overview on data mining of nighttime light remote sensing. Acta Geodaetica et Cartograp hica Sinica, 44, 591-601(2015).

[29] X LI, H M XU, X L CHEN et al. Potential of NPP-VIIRS nighttime light imagery for modeling the regional economy of China. Remote Sensing, 5, 3057-3081(2013).

[30] G SARÀ, M L MARTIRE, M SANFILIPPO et al. Impacts of marine aquaculture at large spatial scales： Evidences from N and P catchment loading and phytoplankton biomass. Marine Environmental Research, 71, 317-324(2011).

[31] Z H ZHAO, R S XIAO, J T GUO et al. Three-dimensional spatial interpolation for chlorophyll-a and its application in the Bohai Sea. Scientific Reports, 13, 7930(2023).

[32] T H WANG, P YU, Z L WU et al. Revisiting the intraseasonal variability of chlorophyll-a in the adjacent Luzon strait with a new gap-filled remote sensing data set. IEEE Transactions on Geoscience and Remote Sensing, 60, 4201311(2021).

[33] K F SHI, B L YU, Y X HUANG et al. Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of China at multiple scales： A comparison with DMSP-OLS data. Remote Sensing, 6, 1705-1724(2014).

[34] A GUISAN, T C EDWARDS, T HASTIE. Generalized linear and generalized additive models in studies of species distributions： Setting the scene. Ecological Modelling, 157, 89-100(2002).

[35] G F WEI, D L TANG, S F WANG. Distribution of chlorophyll and Harmful Algal Blooms （HABs）： A review on space based studies in the coastal environments of Chinese marginal seas. Advances in Space Research, 41, 12-19(2008).

[36] Ge LIU, Yunmei LI, LÜ Heng et al. Remote sensing of chlorophyll-a concentrations in Lake Hongze using long time series MERIS observations. Environmental Science, 38, 3645-3656(2017).

[37] A J PAN, X F WAN, X G GUO et al. Responses of the Zhe-Min coastal current adjacent to Pingtan Island to the wintertime monsoon relaxation in 2006 and its mechanism. Science China Earth Sciences, 56, 386-396(2013).

[38] S C DONEY. Plankton in a warmer world. Nature, 444, 695-696(2006).

[39] S J YU, Y BAI, X Q HE et al. A new merged dataset of global ocean chlorophyll-a concentration for better trend detection. Frontiers in Marine Science, 10, 1051619(2023).

[40] T W KIM, R G NAJJAR, K LEE. Influence of precipitation events on phytoplankton biomass in coastal waters of the eastern United States. Global Biogeochemical Cycles, 28, 1-13(2014).

[41] F C RUBIO, F G CAMACHO, J M FERNÁNDEZ SEVILLA et al. A mechanistic model of photosynthesis in microalgae. Biotechnology and Bioengineering, 81, 459-473(2003).

[42] Y Q WEI, D S DING, T GU et al. Different responses of phytoplankton and zooplankton communities to current changing coastal environments. Environmental Research, 215, 114426(2022).

[43] L L CHEN, J LIU, G XU et al. Phytoplankton productivity and community structure variations over the last 160 years in the East China Sea coast in response to natural and human-induced environmental changes. The Holocene, 29, 1145-1154(2019).

[44] Y J HUANG, Z B JIANG, J N ZENG et al. The chronic effects of oil pollution on marine phytoplankton in a subtropical bay， China. Environmental Monitoring and Assessment, 176, 517-530(2011).

[45] L BERGSTRÖM, M KARLSSON, U BERGSTRÖM et al. Distribution of mesopredatory fish determined by habitat variables in a predator-depleted coastal system. Marine Biology, 163, 201(2016).

[46] C ZHANG, Z B SHI, J R ZHAO et al. Impact of air emissions from shipping on marine phytoplankton growth. Science of the Total Environment, 769, 145488(2021).