Distribution Of Chlorophyll-a Concentration Research Articles

Response of Upwelling Parameter Before, During, and After Tropical Cyclone (Case Study: Tropical Cyclone Marcus)

Tropical cyclones (TC) can cause damage when they are on the land surface, but on the other hand TC contribute to ocean productivity through upwelling or downwelling when they pass through the ocean. Information of the location and timing of upwelling and downwelling is important for fishing - activities estimation. High chlorophyll-a concentrations and low sea surface temperatures are proxies for upwelling events in the ocean. This study aims to investigate the effects of the TC Marcus on the chlorophyll-a distribution in the Timor Sea using a combination of remotely sensed data from Aqua MODIS chlorophyll-a and ocean-atmosphere reanalysis outputs. The results showed that wind speed, sea surface temperature, salinity, and ocean currents were increased during the TC Marcus event. Spatial analysis reveals that the concentration of chlorophyll-a is high in the waters of the Timor Sea, at coordinates around 12°–13° S and 125°–129° E. High chlorophyll-a concentrations occurred before and after TC Marcus event, according to temporal analysis. The distribution of chlorophyll-a concentrations decreased on March 17–24, 2018, during the occurrence of the TC Marcus in the Timor Sea.

Dynamics of Chlorophyll-a Concentration in Ternate Island Waters and Its Effect on Yellowfin Tuna Production

This research was conducted from May to August 2023, with the aim of assessing the distribution of chlorophyll-a concentration and its effect on yellowfin tuna production in Ternate Island waters. The use of experimental fishing methods in collecting research data and data analysis in the form of abundance analysis, exponential regression, cross correlation, and General Aditive Models is expected to answer the research objectives. The results showed that the fluctuation of yellowfin tuna fish catch was similar to the abundance of fish stocks with the highest catch in June (14 229 kg) followed by July (11 142 kg), August (10 764 kg) and May (8 001 kg). The catch of yellowfin tuna fish is spread over a range of chlorophyll-a concentrations between 0.06 mg m-3 to 0.32 mg m-3, with an average monthly chlorophyll-a concentration of 0.22 mg m-3. Chlorophyll-a conditions in Ternate Island waters are quite fluctuating and significantly affect the catch of yellowfin tuna fish with a very strong correlation coefficient of 0.87. The results of General Aditive Models analysis found that the chlorophyll-a concentration value for potential yellowfin tuna fishing areas is > 0.01 mg m-3 with a correlation distance or time leg is in week 15.

The Utilization of Seasonal Variation of Ocean Wave Characteristics Identification in Monitoring the Chlorophyll-a Distribution in South Sulawesi

South Sulawesi is one of Indonesia’s provinces with various forms of waters around its territory, such as the sea, strait, the Spermonde archipelago, and bay. This geographical condition makes it interesting to examine what phenomena can affect the characteristics and variability of ocean waves in each type to increase efficiency and effectiveness in carrying out activities in the waters, especially fishing. By utilizing the BMKG Ina-Waves wave model and NASA’s Aqua MODIS satellite image, the characteristics and variations of ocean waves and the level of fertility of the waters around South Sulawesi Province can be seen. Based on the climatological analysis of wind, ocean waves, and the distribution of chlorophyll-a in this study, the results showed that the Asian and Australian monsoon phenomena greatly influenced these three parameters. The monsoon winds increase the average wave height and affect the distribution of chlorophyll-a concentrations in the waters of South Sulawesi and its surroundings. Efficiency and effectiveness of fishing at sea are carried out during the transition season in the coastal waters of South Sulawesi so that the risk of sea accidents can be minimized.

Cycle of Potential Fishing Area of WPP-NRI 711 Year 2011-2020

This study discussed the cycle of potential fishing areas in WPP-NRI 711 based on the distribution of Sea Surface Temperature (SST) and distribution of chlorophyll-a concentration using MODIS Aqua satellite imagery. The distribution of Potential Fishing Areas (PFA) was determined based on the distribution of the thermal front which was processed using MGET (Marine Geospatial Ecology Tools) and chlorophyll-a. Determination of fluctuations and the emergence period of PFA for 10 years (2011-2020) is carried out using wavelets. The results showed that the average SST in WPP-NRI 711 was 29 °C. The highest average SST is 31 °C in May of the Transitional I Season, and the lowest average temperature is 27.9 °C in February of the West Monsoon Season. The average chlorophyll-a concentration was 0.6 mg/m3, the highest average chlorophyll-a concentration was 0.76 mg/m3 in December West Monsoon Season, and the lowest average was 0.53 mg/m3 in October Transitional II Season. The average PFA distribution area is 1.111 km2, the highest average area is 1.324 km2 in the West Monsoon Season, then the lowest area is 924 km2 in the Transitional II Season. Based on global spectrum and wavelet analysis, it is known that the period of the appearance of PFA is 3-6 months or Seasonal. then in the Northern Region segment of WPP-NRI 711, covering the Natuna Sea, the appearance of PFA is strongly influenced by Seasonal current movements. Meanwhile in the southern part, including the Karimata Strait, the emergence of PFA is strongly influenced by river runoff and changing Seasons.

Capture Area Compatibility with Map of Fishery Potential Area Based on Chlorophyl-a and Sea Surface Temperature in Aru Sea Waters-Indonesia

The Republic of Indonesia's Fisheries Management Area (Wilayah Pengelolaan Perikanan Negara Republik Indonesia) marine waters is an area with high capture fisheries potential, reaching 20% of the national fish potential. Fishing is often hampered by the lack of information related to Fishing Potential Zones, resulting in reduced efficiency. The solution offered is to utilize geographic information systems (GIS) or remote sensing with aqua MODIS satellite images of chlorophyll-a and sea surface temperature as data for mapping potential fishing zones. The objectives of this research are to understand the operation of purse seines, analyze the influence of sea surface temperature and chlorophyll-a on purse seine catches, and determine the level of suitability of fishing areas with maps of potential fishing zones. To answer the objective, non-experimental based applied research was conducted with a case study approach, survey method and correlation approach to determine the effect of chlorophyll-a and sea surface temperature variables on catches. The tools used hardware, namely laptops and computers with the software needed research are SEADAS, SAGA, QGIS, Ms. Excel and SPSS. Data on the distribution of and chlorophyll-a used in the study are data from Aqua MODIS level 1x1 kilometer resolution downloaded on the page https://oceancolor.gsfc.nasa.gov/.
 As for the results of statistical testing, there is an influence of chlorophyll-a and sea surface temperature simultaneously and partially on the catch by giving an influence of 73.6%. With the distribution of chlorophyll-a concentration and sea surface temperature in the KM fishing area. The level of conformity of fishing areas with maps of potential fishing zones on fishing trips from December 2020 to April 2021 reached a percentage of conformity of 55.93% with a total catch of 209,360 Kg, indicating the selection of fishing areas by conventional skippers on KM XXX compared to the forecast of fishing areas using aqua MODIS satellite imagery remote sensing technology can be categorized as good even though it only relies on experience and information about fishing areas from other vessels.

Methane migration, sea ice melting and spatial distribution of chlorophyll-a in the Barents Sea

The paper considers the theoretical and practical aspects of the relationship between the processes of sea ice melting and methane migration, and their influence on the distribution of chlorophyll-a concentration as an indicator of productivity and the level of quantitative development of the phytoplankton community at the spring stage of the succession cycle. In the spring of 2018 and 2019 the thermohaline characteristics of waters and the content of chlorophyll-a in the Barents Sea were studied. The area of work covered both areas with the most probable release of methane from near-bottom gas hydrates, as well as background areas, where the presence of methane hydrates is unlikely. In 2018, the phytoplankton community of the study area was in the spring flowering stage. In the area of the most probable influence of methane, the average concentrations of chlorophyll-a were approximately 2 times higher than in the background area. High concentrations of the pigment were associated with the thawed layer, which may indicate the release of methane from the ice. In 2019, low concentrations of chlorophyll-a in the edge zone excluded the stage of spring flowering of the phytoplankton community, which did not allow us to trace the possible effect of the release of methane hydrates on the concentration of chlorophyll-a.

Comparison of spatial interpolation methods for distribution map an unmanned surface vehicle data for chlorophyll-a monitoring in the stream

This study aims to comparatively evaluate the interpolation methods to estimate the chlorophyll-a concentrations in a spatial distribution map using the unmanned surface vehicle (USV). We targeted 0.0231 km 2 of the N stream, installed and operated a Chlorophyll-a sensor on a USV, and collected a significant amount of data. These data were extracted via data pre-processing using the data exploration and linear interpolation methods and subsequently utilized for spatial distribution analysis. The inverse distance weighted (IDW) and Kriging interpolation methods were compared to express the chlorophyll-a in a spatial distribution map. With the IDW method, R 2 was 0.81, and the root mean square error (RMSE) was 4.45, and with the Kriging method, R 2 was 0.61, and the RMSE was 6.39. We selected IDW as the optimal interpolation method and manually classified the chlorophyll-a concentrations based on the Korean lake water-quality standard. The analysis of the chlorophyll-a distribution indicated the following: Type Ia (chlorophyll-a 5 μ g / L or less) was 2.6%; Type Ib (chlorophyll-a 9 μ g / L or less) was 9.9%; Type II (chlorophyll-a 14 μ g / L or less) was 19.1%; Type III (chlorophyll-a 20 μ g /L or less) was 27.9%; Type IV (chlorophyll-a 35 μ g /L or less) was 33.2%; and Type V (chlorophyll-a 70 μ g /L or less) was 7.4%. The chlorophyll-a concentrations determined using the USV were successfully represented in the spatial distribution map. • The unmanned surface vehicle (USV) was conducted to monitor the chlorophyll-a concentration distribution in river. • The inverse distance weighted (IDW) was applied for the spatial interpolation method. • The spatial distribution map exhibited considerable potential for the commercialization of remote monitoring technology development using USV.

HY-1C/D Reveals the Chlorophyll-a Concentration Distribution Details in the Intensive Islands’ Waters and Its Consistency with the Distribution of Fish Spawning Ground

Chlorophyll-a (Chl-a) change details derived from HY-1C/D images in the waters of the Zhoushan archipelago were analyzed. A new Chl-a inverse model was built based on the relationship between the in situ Chl-a and the combination of red, blue and green bands of the coastal zone imager (CZI). Chl-a as well as fishery resources were analyzed. The results showed the following. (1) The Chl-a concentration in the waters of the Zhoushan archipelago was mainly in the range of 0.5~6 μg/L. High Chl-a area distributed in the west side of the study area, with a value of 3.5~5.5 μg/L. The Chl-a concentration in the east side of the study area was relatively lower, with a value of 0.5~2 μg/L. Chl-a around the islands was higher than that in the area far away from the islands. In addition, Chl-a concentration increased obviously downstream of the island. (2) The spawning ground of many fish in the waters of the Zhoushan archipelago was abundant, and its spatial-temporal variation was consistent with the change of Chl-a. (3) The islands interacted with the current, inducing upwelling upstream and vortex streets downstream. The complex hydrodynamic environment promoted a vertical exchange of water bodies, thereby resulting in an increase in suspended sediment concentration, nutrients, Chl-a and attracting fish.

INTERCOMPARISON OF DESIS, SENTINEL-2 (MSI) AND SENTINEL-3 (OLCI) DATA FOR WATER COLOUR APPLICATIONS

Abstract. In this work, we investigate the potential of DESIS hyperspectral data for water colour applications as preparation for the exploitation of data from the future EnMAP mission. We show results on the intercomparison of Level 2 data of the DESIS sensor, Sentinel-2 MultiSpectral Instrument (S2-MSI) and Sentinel-3 Ocean and Land Colour Instrument (S3-OLCI) processed with the Polymer atmospheric correction. Examples of mapping of water quality parameters in inland and coastal waters is provided for different ecosystems (e.g. lagoon, clear lakes, estuaries). First results of Polymer applied to DESIS data at different study regions show similar spatial distribution of chlorophyll-a concentration (Chl-a) to S2-MSI and S3-OLCI.

Features of the Distribution of Chlorophyll-a Concentration along the Western Coast of the Novaya Zemlya Archipelago in Spring

In spring 2016, the thermohaline characteristics of water masses and the distribution of chlorophyll-a concentration in the pelagic zone of the eastern part of the Barents Sea were studied. For the first time, in the conditions of an abnormally warm year and the absence of ice cover, a complex of hydrobiological works was carried out on a section crossing the Barents Sea from south to north along the western coast of the Novaya Zemlya archipelago. High concentrations of chlorophyll-a > 1 ˂ 6 mg/m3 at all stations of the transect indicate a stage of spring bloom in the successional cycle of microalgae. Significant differences in the content of chlorophyll-a in waters of various origins were revealed. The highest concentrations of chlorophyll-a corresponded to Arctic surface water (5.56 mg/m3). Slightly lower values were observed in the transformed Atlantic waters of the Novozemelskoe and Kolguevo–Pechorskoe currents (3.53 ± 0.97–3.71 ± 1.04 mg/m3), and the lowest was in the Barents waters (1.24 ± 0.84–1.45 ± 1.13 mg/m3).

Distribusi Spasial Klorofil-A di Perairan Teluk Benoa Bali

Benoa Bay is an estuary that gets input of waste and nutrients from six rivers and inderectly influenced water productivity in Benoa Bay. The nutrients flow from the river to domestic, industrial, and agricultural activities into Benoa Bay. The amount of nutrient inputs accumulated in Benoa Bay this could affect the chlorophyll-a consentrations. The purpose of this study was to determine the spatial distribution and influence nitrate and phosphate on chlorophyll-a concentration. Water surface sampling carried out on February 2019. The method used was purposive sampling and chlorophyll-a concentration was analysed using spectrophotometer Shimadzu UV-2600, based on the maximum absorption of four wavelengths (quadrichroic). The results showed that the chlorophyll-a concentration ranged from 0.22 - 8.53 g/m3 with an average of 5.58 g/m3. Nitrate concentration ranged from 0,004 - 0,180 mg/L with an average 0,107 mg/L. Phosphate concentration ranged from 0,005 - 0,229 mg/L with an average 0,101 mg/L. Spatial distributions of chlorophyll-a concentration in Benoa Bay higher in the estuary area compare to sea area. The different concentration of chlorophyll-a in Benoa Bay were affected by physical and biological processes. The result of statistic regression of the nitrate and phosphate influence on chlorophyll-a concentration in Benoa Bay was 39,2% (R² = 0.392) for nitrate, meanwile 20,5% (R² = 0.205) for phosphate.

Concentration of chlorophyll-a phytoplankton as indicator of waters fertility in gerupuk bay, Central Lombok Regency-West Nusa Tenggara

Research on the content of chlorophyll-a phytoplankton is one of the tools to measure the fertility of a waters. The purpose of this study, namely: to determine the fertility of the waters based on the spatial distribution of chlorophyll-a concentration in the waters of Gerupuk Bay. Water samples were taken twice, in April and September 2015. The analytical method used to calculate the chlorophyll a content was “Spectrophotometry” referring to the 2005 APHA. The results showed that the fertility of Gerupuk Bay waters based on chlorophyll a content is classified as oligotrophic less fertile). The phytoplankton classes found consisted of the Baccilariophyceae class; 29 genera and class Dinophyceae: 3 genera.

Variability of chlorophyll-a concentration relation to fish catch of Indian mackerel in West Halmahera waters

The presence of chlorophyll-a is an indicator of water fertility, where the high chlorophyll-a content will be followed by the presence of zooplankton which will then affect other aquatic organisms that form the food chain. The interaction of chlorophyll-a concentration on the presence of mackerel in West Halmahera waters is unknown, so this study was carried out with the aim of examining the relationship between chlorophyll-a concentration in West Halmahera waters and mackerel catch. The use of experimental fishing methods from May to July 2020 and non-linear regression analysis and Generalized Additive Model (GAM) are expected to provide an overview of the relationship between the two research variables. The results showed that the distribution of Indian Mackerel was more in coastal areas with a chlorophyll-a concentration distribution of 0.18 - 0.39 mg/m3 which played a major role in determining the variability of the quantitative distribution of mackerel (α < 0.05) and positively correlated with a value of r = 0.819 and these results supported by predictions using GAM, where the potential fishing area for mackerel in West Halmahera waters is at a chlorophyll-a concentration value of aboutb 0.2 - 0.4 mg/m3.

Wind Effects for Floating Algae Dynamics in Eutrophic Lakes

Wind-speed decline is an important impact of climate change on the eastern Asian atmospheric circulation. Although wind does not determine algae biomass in eutrophic lakes, it is a decisive factor in the formation and severity of algae blooms. Based on 2000–2018 MODIS images, this study compared the effects of wind speed on algal blooms in three typical eutrophic lakes in China: Lake Taihu, Lake Chaohu and Lake Dianchi. The results indicate that climate change has different effects on the wind speed of the three lakes, but a common effect on the vertical distribution of algae. A wind speed of 3.0 m/s was identified as the critical threshold in the vertical distribution of chlorophyll-a concentrations in the three study lakes. The basic characteristics of the periodic variation of wind speed were different, but there was a significant negative correlation between wind speed and floating algal bloom area in all three lakes. In addition, considering lake bathymetry, wind direction could be used to identify locations that were particularly susceptible to algae blooms. We estimated that algal bloom conditions will worsen in the coming decades due to the continuous decline of wind, especially in Lake Taihu, even though the provincial and national governments have made major efforts to reduce eutrophication drivers and restore lake conditions. These results suggest that early warning systems should include a wind-speed threshold of 3.0 m/s to improve control and mitigation of algal blooms on these intensively utilized lakes.

Analysis of Total Suspended Solid Distribution and Its Effect To The Fertility of Marine Waters Around Fish Auction Place (TPI) Dumai

This study aims to determine the distribution of total suspended solid concentration (TSS) in the waters around TPI Dumai. Water samples were taken from 12 sampling point from the waters during high and low tides to determine TSS concentration. The concentration of total suspended solids ranges from 60-130 mg/l. The concentration is relatively higher (&gt;80 mg/l) in the area that is close to residential areas and TPI. The highest concentration of total suspended solids was 117 mg/l found in waters with a depth of 1-3 m, while the lowest was 81 mg/l found at the sampling point of 5,9. The distribution of chlorophyll-a concentration is relatively higher around the coast which is around 0.476-0.178 mg/l, and it's lower off the shore which is around 0.080-0.090 mg/l. The chlorophyll-a concentration is lower in waters far from the coast because there is no direct nutrient supply from the land. The regression analysis indicate that Tss and chlorophyll-a has a weak relationship between the two variables relatively weak but they are still affecting each other.

Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data

Chlorophyll-a mapping is widely used in the coastal environment. The mapping results can be utilized as guidance for fishing activities. The presence of chlorophyll-a in phytoplankton is much investigated concerning the existence of fish as a source of livelihood for fishermen around the globe. One method extensively developed is the use of satellite imagery to map the chlorophyll-content in the coastal region from a small area to a global scale, such as Aqua MODIS image data. This study aims to monitor the distribution of chlorophyll-a on the north coast and south coast of Lombok island. Analysis of variance and parametric statistical tests with t-distribution was utilized to examine the correlation between the two types of chlorophyll-a distribution of the coast area, Lombok Island. The result shows that the distribution of chlorophyll-a concentrations on the north coast and the south of the coast is not the same abundance; the south coast of Lombok island has smaller variances, with the concentration distribution is relatively the same. It differs from the north part; the distribution shows less diversity. This result indicates that a reasonably wide interval wherein some coordinates has a relatively diffuse chlorophyll-a concentration with a sufficiently high distribution level. Analysis of variance result also shows that both the north and south coasts have different fertility levels for their coastal waters, which are characterized by the growth rate of chlorophyll-a on the surface water along the coastal region examined

ANALYSIS OF UTILIZATION CHLOROPHYLL-A CONCENTRATION DATA FROM REMOTE SENSING IMAGERY TO SUPPORT MARITIME SECURITY OPERATIONS (CASE STUDIES IN THE ARAFURA SEA)

Indonesia is the largest archipelago in the world with a vast ocean area and the richness of the fish. It allows theoccurrence of crime at sea, for example, is a crime of theft of fish and other marine resources. Indonesia in theregard Indonesian Navy confronted with various obstacles, among others, the limitation of the number of patrolboats that are not proportional to the extent of waters that should be on the cover as well as the limitations ofthe available budget for operational activities in the framework of the implementation of law enforcementoperations related crime at sea. With the limitation of that than required effectiveness and efficiency inoperations to crime at sea can still be implemented and the richness of the sea remains awake.The utilization ofremote sensing satellite technology capable of delivering information quickly with a broad scope. This researchuse the MODIS Aqua Image data Level 2 to detect the distributions of chlorophyll-a concentration which is anindicator of the fertility of the waters of an area the area is closely connected with the fisheries through theimplementations process of bottom-up areas with transparent high fertility rate is an area that's prone to fishtheft crime occurred. From the result of the data processing MODIS-Aqua Satellite image pattern time andlocation of the concentration of chlorophyll-a and verified by VMS data indicate that there is a close relationshipwhere a times and areas with a high concentration of chlorophyll observed a lot of fishing activity, so it is used inthis research can be used as supporting data in determining the direction and timing of the operation inparticular operations against crimes the theft of fish, finally the marine security operations could become moreeffective and efficient and success can be further improved.Keywords: Sea area, chlorophyll-a, effective and efficient.

Chlorophyll-a variability during positive IOD - the east season period in 2019 in Padang Sea, Indonesia

This study aimed to identify the effect of the positive Indian Ocean Dipole (IOD) phenomenon on the spatial, temporal distribution of chlorophyll-a concentrations in the East Season in Padang Sea in 2019. The method used in this research was the Kriging analysis method applied in oceanographic parameter satellite imagery extraction point data. By applying the method, we produced the maps of the spatial distribution variation of chlorophyll-a content and Sea Surface Temperature (SST). The data of IOD events in 2019 showed the occurrence of a strong positive IOD phenomenon that caused anomaly in the Sea Surface Temperature (SST) in Padang Sea. The interpretation of Aqua-Modis level 2 satellite image data showed that the sea surface temperature during the East Season was relatively cold, which was in the minimum temperature ranging from 18.5-22°C with a normal temperature condition of 28-29°C. The minimum chlorophyll-a concentration in the East Season was 0.252 mg/m3; while the maximum value reached 18.5 mg/m3. The distribution value of chlorophyll-a concentration was 1.028 mg/m3.The RMSe Cross Validation value obtained was 0.504 for SST and 0.363 for chlorophyll-a with a mean SST of -0.0005 and mean chlorophyll-a of -0.0039.

Analisis Penentuan Sebaran Konsentrasi Klorofil-A dan Produktivitas Primer di Perairan Teluk Saleh menggunakan Citra Satelit Landsat OLI 8

Chlorophyll-a is a parameter that can determine the primary productivity in the coastal and ocean. Chlorophyll-a is pigment in phytoplankton that used in photosynthesis. Chlorophyll-a concentration can be detected by ocean color remote sensing by using a mathematical model of satellite image data. The purpose of this research is to modify the algorithm of chlorophyll-a concentration of Landsat OLI 8 Satellite Image data and to show the spatial and temporal distribution of chlorophyll-a concentration. The determination of the algorithm is done using a simple linear regression analysis model between ratio of satellite image band data and value of chlorophyll-a in situ data. The algorithm result is C = 0.416 (green / blue) - 0.183 with R² = 0.785 where C is chlorophyll-a concentration (in mg/m3). Using this algorithm, the spatial distribution of surface concentration of chlorophyll-a can be drawn. Based on analysis of primary productivity that potential of fish resources in the Saleh Bay is 1 327 199.83 ton/years.

Temporal-Spatial Distribution of Chlorophyll-a and Impacts of Environmental Factors in the Bohai Sea and Yellow Sea

Better understanding of the temporal-spatial distribution of chlorophyll-a concentration (Chl-a) is crucial in controlling harmful water blooms. In this study, the dynamical change of Chl-a over the Bohai Sea and Yellow Sea from 2003-2017 were analyzed by using the MODIS/Aqua satellite data, and the effects of sea surface temperature (SST), wind and wave were investigated. The typical distribution modes of long-term surface Chl-a were extracted by using the Self-organizing Mapping (SOM), neural network model. The results showed distinct seasonal variations of the Chl-a along with a gradual increase in the study period. The total Chl-a of the whole area reached the lowest value of 2.41mg/m 3 in July, and the highest value 3.43mg/m 3 in April; though in Laizhou Bay, the Chl-a concentration was significantly higher than other regions and the value reached at the peak in September. The spatial distribution showed that Chl-a decreased from inshore to offshore. Meanwhile, from clear mode to low, medium, and high concentration modes, the Chl-a gradually increased in coverage and concentration, and modes extracted by the SOM neural network have effectively elucidated the trend of Chl-a in spatial, seasonal, and interannual variability. The Generalized Additive Model (GAM) was used to evaluate the effect of SST, wind, and wave on the changing patterns of Chl-a. It was found that there is a significant nonlinear correlation between Chl-a and SST, wind speed, mean wave direction and significant height of the wave. These influencing factors accounted for 47.9% of the change of Chl-a, which had significant effects on Chl-a change. Compared with wind speed, mean wave direction and significant height of wave, SST can better explain the change of Chl-a. Besides, wind direction and increased human activity (e.g., river discharge) played a significant role in changing the Chl-a distribution in the Bohai Sea and Yellow Sea.