Subscribe Now Subscribe Today
Research Article

Influence of River Plume on Variability of Chlorophyll a Concentration using Satellite Images

T. Lihan, M.A. Mustapha, S.A. Rahim, S. Saitoh and K. Iida
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Freshwater discharge from rivers into the ocean is an important element of the dynamics in coastal areas. River discharge from land that includes chlorophyll a, nutrients, sediments and pollutants have been identified as one of the major causes of deterioration of the coastal water. The objective of this study was to examine the relationship between river discharge and variability of chlorophyll a concentration in plume area using satellite imagery. Satellite ocean color and Sea Surface Temperature (SST) imagery were used to present the synoptic quantification of chlorophyll a variability on seasonal and interannual timescales for the plume area of Tokachi River, Japan. Five years (1998 to 2002) of SeaWiFS local area coverage, AVHRR imagery and surface wind were analyzed using default NASA coefficients and community-standard algorithms as implemented by SeaDAS. The chlorophyll a climatology seasonal pattern showed seasonal cycles, first peak in spring and second peak in late summer to early autumn. Elevated chlorophyll a concentration demonstrates seasonal cycles and interannual variability are present around plume area associated with variation of river discharge. Elevated chlorophyll a concentration in offshore area was seen to be influenced by low sea surface temperature and wind stress.

Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

  How to cite this article:

T. Lihan, M.A. Mustapha, S.A. Rahim, S. Saitoh and K. Iida, 2011. Influence of River Plume on Variability of Chlorophyll a Concentration using Satellite Images. Journal of Applied Sciences, 11: 484-493.

DOI: 10.3923/jas.2011.484.493

Received: October 08, 2010; Accepted: December 08, 2010; Published: January 22, 2011


Coastal zone adjacent to river systems plays an important role in trade, agricultural, fisheries and tourism. At the same time, coastal zone are of extraordinary ecological value it is a transformer and sink for terrestrial nutrients and pollutants. River discharge from rivers into the coastal water is an important element of the dynamics of the continental shelves. River discharge includes not only freshwater, but includes nutrients, sediments, pollutants and other constituents (Higgins et al., 2006; Signoret et al., 2006; Wysocki et al., 2006; Kouame et al., 2009). These loading from the river discharge have been identified as one of the major causes of deterioration of the coastal water quality (Schernewski et al., 2001; Bay et al., 2003). Suspended material directly affects the water column and benthic processes such as phytoplankton productivity (Miller and McKee, 2004).

The plume region off the river mouth plays important role in shelf physical, biogeochemical and ecological functioning. Nutrient concentrations and nutrient ratios in the surface layers are influenced by the plume, thus impacting the lowest trophic levels. Freshwater input changes the stratification, and influences vertical nutrient flux and the light regime in the upper mixed layer controlling the phytoplankton growth (Smith and Demaster, 1996; Shipe et al., 2006). Vertical and horizontal transports of nutrient are also influenced by local circulation patterns associated with plumes (Thomas and Weatherbee, 2006).

The behavior of nutrients in plume area is usually considered as a process dominated by biological and degradational function. The ecological aspects of these water bodies are influence by the exchange between the continental shelf and the inner water (Sierra et al., 2002). These exchange dynamics are mainly controlled by three different forcing agents; atmospheric factors (wind and atmospheric pressure), marine factor (waves and mean-water level), and riverine factors (river discharge).

The extent of the influence of the discharge depends mainly on the river flow regime (Cravo et al., 2006). In areas where rivers are characterized by low discharge, episodic storms accompanied by periods of heavy rainfall, supplies large pulses of fresh water, suspended material and nutrient to the coastal zone (Cruzado et al., 2002; Perez et al., 2003). The impact of river discharge upon the coastal zone depends on the volume of discharge at seasonal and annual scales (Signoret et al., 2006). High flow of river discharge leads to an increase nutrient input and enhanced phytoplankton growth (Shah et al., 2008). The changing levels of freshwater discharge have marked implications on phytoplankton productivity and composition, as nutrients play a key role in controlling primary production (Cruzado and Velasquez, 1990; Cravo et al., 2006).

Understanding variations in the extent and dispersal of plume from the Tokachi River is important because the presence of plume will affect the marine ecosystem especially in limiting productivity due to the reduction in the photic depth, with important implications for coastal fisheries activities (Lihan et al., 2008). The objective of this study was to examine the relationship between river discharge and variability of chlorophyll a concentration in plume area using satellite imagery.


Study area: The Tokachi region is bounded between latitude 42°09’ and 43°38’ N and longitude between 142°40’ and 144°02’ E is a representative agriculture production area in Japan. There is one main river system, the Tokachi River system (comprising 12 major rivers), that irrigates the agriculture area and flow into the western North Pacific Ocean at Otsu, the southeastern coast of Hokkaido Island, northern Japan (Fig. 1). The total catchment’s area of this river system is 9010 km. Tokachi River with 156 km in length is the second largest river after Ishikari River (Le et al., 2006), originates at Mt. Tokachi-dake (2077 m) of the Taisetsu Mountain Range located in the middle of Hokkaido (Nagao et al., 2005).

The Tokachi River flows through the broad Tokachi plain which includes old and new alluvial fans and stream terraces.

Fig. 1: The study area in the Eastern coast of Hokkaido Island, northern Japan, showing the Tokachi River System and bottom bathymetry (m)

Discharge of freshwater from the river flow to the coastal zone with flow volume of 7 billion tons per year, with average discharge of 233 m3 sec-1 from 1998 to 2002 measured at the Moiwa sampling station. River flow increases in spring and early fall due to snowmelt and an increase of precipitation, respectively

Data: Combination of satellite remote sensing and ancillary data were used to determine the effects of Tokachi River plume. In this study two types of sensor were used to determine the effects of river plume. The satellite data used in this study are Sea-viewing Wide Field-of-View (SeaWiFS) and Advanced Very High Resolution Radiometer (AVHRR). A uniform spatial reference is required to accurately compare the spatial features in the data due to multi-sensor nature of this study. The coastline of the study region was used as a base map to which all other data were projected. In order to map the other data onto the coastline, the satellite data were projected with a cylindrical system identical using ArcGIS.

SeaWiFS data: Daily Level 1A SeaWiFS data intersecting the region 40°-45°N, 140°-150°E for the period of 1 January 1998 to 31 December 2002 were downloaded from the Goddard Distributed Active Archive Center ( A total of 488 cloud free images (82 images in 1998; 79 in 1999; 100 in 2000; 108 in 2001; 109 in 2002) were processed to Level 2 geophysical products using default NASA coefficients and community-standard algorithms as implemented by SeaDAS (version 5.0) and remapped to a cylindrical projection at 1.1 km resolution. Daily data were further composite into monthly means for chlorophyll a to study the variability of chlorophyll a concentration. The study area was subset from the images to geographic extents of 42°-43°N, 143°-145°E.

Sea surface temperature data: Sea Surface Temperature (SST) measurements from the NOAA satellites (AVHRR instruments) were collected by the satellite receiving station at the Hokkaido University. A total of 1734 AVHRR images with 1.1 km spatial resolution at nadir were collected from January 1998 to December 2002 (excluding October to December 2001). All daily SST images were navigated (i.e., corrected for distortion and registered to a map) and were nudged (i.e., the entire image shifting to fit map overlap) to correct for receiving system timing errors or satellite altitude errors. All AVHRR images were mapped to the cylindrical equidistant projection. Monthly composite images were formed by arithmetically averaging all available scenes in each month on a pixel by pixel basis (excluding missing data and clouds). The images were subset to geographic extents of study area.

In situ chlorophyll a data: Chlorophyll α concentration off Tokach i region from 1998 to 2002 were downloaded from The Japan Oceanographic Data Center at their home page ( corresponding to the available date of satellite data. This data were used to match-up of concurrent in situ and satellite observations using daily satellite data.

River discharge data: A time series of daily Tokachi River discharge dat a from 1 January 1998 to 31 December 2002 was obtained from the River Environment Engineering Division, River Bureau, Ministry of Land, Infrastructure and Transport, Government of Japan.

Surface wind data: Wind data were downloaded from the Southeast Fisheries Science Center, NOAA Fisheries Service Environmental Research from their web site ( These files contain regular grids of zonal and meridional wind speeds with 1° spatial resolution at 10 m above the earth surface. The zonal and meridional wind speeds were used to plot the vector winds. These components were transformed to wind stress, τ (kg m-1 sec-2) using the equation of Nezlin and DiGiacomo (2005).


Episodic events: Validation of satellite data is important for interpreting sate llite measurements. In this study, cross-reference data set between in situ and SeaWiFS chlorophyll a observation was analyzed to validate the satellite data.

Fig. 2: (a) SeaWiFS daily images showing chlorophyll α distribution after large volume of river discharge event starting from 16 February 1998 (Julian date) to 21 February 1998. (b) High chlorophyll α concentration (dash line) was observed 1-day lag of large volume of river discharge (solid line) event. Chlorophyll α concentration decreased the following day parallel to decreasing of discharge

Fig. 3: (a) SeaWiFS daily images showing chlorophyll a distribution before (October 1st) and after (October 5th, 6th and 7th) large volume of river discharge event. (b) Chlorophyll a concentration (dash line) increased dramatically after 1-day lag of large volume of river discharge (solid line) event

A total of 23 matched pairs were obtained between in situ and SeaWiFS daily data. Correlation of the match-ups produced an r = 0.99 (N = 23, slope m = 1.06 and intercept c =- 0.13).

SeaWiFS-derived chlorophyll a showed high variability in concentration in the study area. Analysis of individual scenes typifying runoff events shows high variability. The extent of riverine discharges during high river discharge event also can be assessed using ocean color imageries. High chlorophyll a concentration in plume area occurs during increase in river discharge. This was also observed in several runoff events throughout the study period. In winter volume of river discharge from the Tokachi River relatively low. During increase in volume of river discharge, increase in chlorophyll a concentration in plume area was observed. This event was evident during February 1998, high chlorophyll a concentration (2.4 to 2.5 mg m-3) was observed from SeaWiFS daily data on February 16 to 18th during large river discharge (more than 150 m3 sec-1 on February 15 to 17th). Decrease in volume of river discharge was observed on February 18th (120 m3 sec-1). Lower chlorophyll a concentration in the plume area the day after (February 19th) with value of 1.5 mg m-3 was observed. River discharge remains low in the following days and chlorophyll a concentration also observed to be low (Fig. 2).

Larger discharge events were also observed in late summer to early autumn due to high precipitation. Largest discharge event (exceeding 6000 m3 sec-1) occurred on September 12, 2001. However chlorophyll a concentration on those dates could not be derived due to cloud cover. Chlorophyll a concentration for other large events also could not be derived due to cloud cover. Similar smaller event were analyze to determine the effects of river discharge on chlorophyll a concentration in plume area. River discharge was observed relatively high (291 m3 sec-1) on October 4, 2000 and discharge decreased gradually the day after. Chlorophyll a concentration elevated gradually and peak on October 5 (the day after high discharge) with value of 6 mg m-3. After event, Chlorophyll a concentration decreased gradually to the normal concentration (4.4 mg m-3).

Fig. 4: Climatological (1998-2002) monthly mean of SeaWiFS chlorophyll a (mg m-3) showing the annual cycle over the period of January to December

Chlorophyll a concentration remains at 4 mg m-3 for the following days and river discharge was also constant (~230 m3 sec-1) (Fig. 3).

Seasonal and interannual cycles of chlorophyll a: Variability of chlorophyll a concentration was observed using the climatology monthly mean for 5 years. The chlorophyll a concentrations shows bimodal, first peak in spring and second peak in late summer to early autumn (Fig. 4). High peak of chlorophyll a concentration (8.4 mg m-3) was observed during late summer to early autumn compared to spring peak (4.9 mg m-3) in plume area (Fig. 5).

Meanwhile high peak of climatology chlorophyll a concentration in spring (6.5 mg m-3) was observed in offshore water (Fig. 6). In April, chlorophyll bloom covered the whole study region (Fig. 4). However in May, chlorophyll bloom was observed offshore and low chlorophyll a in coastal water. Second lower peak (1.2 mg m-3) was observed in late summer to early autumn in offshore water.

Fig. 5: The climatology mean of chlorophyll a concentration from 1998 to 2002, averaged from monthly images in plume area

Fig. 6: The climatology means of chlorophyll a concentration, SST (upper panel) and wind stress (lower panel), calculated from monthly mean data spanning 1998 to 2003 in offshore water

Fig. 7: The SeaWiFS derived chlorophyll a concentration shows interannual variability in plume area (solid line) and offshore water (dash line)

Chlorophyll α patterns generally show an inverse relationship with SST especially in offshore water (Fig. 6) where the highest chlorophyll α levels occur in spring (offshore water) and are associated with lowest SST values.

Fig. 8: Time series of Tokachi River discharge for 1998- 2002

Climatology monthly mean chlorophyll a values peak at 7 mg m-3 during April while SST values at 1.9°C. Meanwhile winter period shows lowest chlorophyll a value over the 5 years study period with chlorophyll a value of <0.4 mg m-3 in offshore water. Wind stress was also observed to be high (>0.06 kg m-1 sec-2) in winter and low (<0.05 kg m-1 sec-2) in spring to early autumn (Fig. 6).

Chlorophyll a concentrations calculated from monthly mean are high in spring and late summer to early autumn and shows considerable interannual variations in magnitude and duration of these peak events. Chlorophyll α concentrations are also highest in late summer to early autumn compared to spring. Chlorophyll a concentration in plume area was higher than offshore water (Fig. 7). This is also in parallel with river discharge (Fig. 8). The highest mean chlorophyll a values in plume area are 14.4 mg m-3 (August 2002), followed by 10.3 mg m-3 (September 1998), 9.8 mg m-3 (July 1999), 9.1 mg m-3 (September 2001) and lowest at 8.8 mg m-3 (September 2000). However, high chlorophyll a concentration in spring was observed in April 2001 (6.2 mg m-3), April 2002 (5.4 mg m-3), May 1999 (4.9 mg m-3), March 1998 (4.6 mg m-3) and April 2000 (4.3 mg m-3). For other month, mean of chlorophyll a values are less than 4.0 mg m-3. Chlorophyll a value was observed to be low in winter with value at<2.7 mg m-3 (Fig. 7).

Meanwhile, interannual variability of chlorophyll a concentration was also observed in offshore water. High level of chlorophyll a concentration was identified in spring 2002 (7.7 mg m-3), followed by 1998 (7.5 mg m-3), 2001 (5.9 mg m-3), 1999 (3.7 mg m-3) and lowest in 2000 (3.3 mg m-3) (Fig. 9). Spring bloom occurred during low SST and weak wind stress. The collapse of the spring chlorophyll peak begins coastal area, proceeding onto the offshore area by June. Low peak of chlorophyll a concentration was observed in early autumn and also shows interannual variations in values.

Fig. 9: The time series monthly means of chlorophyll α concentration, SST (upper panel) and wind stress (lower panel) from 1998 to 2003 in offshore water

Highest chlorophyll a concentration occurred in 1999 (3.0 m3 sec-1) and lowest was in 2000 (2.1 m3 sec-1). Low chlorophyll a values (<0.75 mg m-3) are present offshore in summer. However lowest chlorophyll a value was observed during winter (<0.6 mg m-3).


The SeaWiFS imagery provides spatial context and synoptic quantification of seasonal and interannual variability of chlorophyll a concentration. The overall seasonal increase in chlorophyll a concentration from spring and late summer to early autumn is consistent. Phytoplankton populations in most temperate and subartic ocean regions undergo strong seasonal cycles, with prominent blooms occurring particularly in the spring and lesser extent in the autumn (Findlay et al., 2006). The spring bloom of phytoplankton is a well-established, regular, seasonal event in the western subartic Pasific (Kasai et al., 1997). The increase in chlorophyll a concentration in autumn has been described as a result of vertical mixing and the breakdown of stratification that causes an influx of nutrients into the upper layers of the ocean (Findlay et al., 2006).

Seasonal and interannual variability in timing, magnitude and duration of chlorophyll a in the study region is dominated by the plume area. In plume area, the timing and magnitude of the spring and autumn blooms is highly variable. Variability in river discharge is parallel with variability in chlorophyll a concentration. Variability of chlorophyll a concentrations is clearly observed during episodic event of river discharge. Chlorophyll a concentration elevated dramatically after a 1-day lag of large discharge event, suggesting that blooms is related to the influence of the runoff event. Wysocki et al. (2006), Chen and Chen (2006) also demonstrated that chlorophyll a concentrations in the surface water were higher during the large discharge period. Area of very high chlorophyll a concentration over the continental shelf was also found in plume area effect from river discharge (Davies, 2004; Wang et al., 2004). The amount of the flow of discharge results in variability of nutrient supply, and affects the temporal and spatial changes in the primary productivity in plume area (Hama et al., 1997). In winter, increase in river discharge also affects the chlorophyll α concentration which is evident in episodic event February 1998. This is caused by river flow-induced haline stratification which allows phytoplankton to develop (Gohin et al., 2003).

Large river discharge in spring and late summer to early autumn influences the chlorophyll α concentration in plume area. Chlorophyll a concentration in plume area during spring and late summer to early autumn shows variability. High primary production reflects in high chlorophyll a concentration in plume area observed in early summer 1999, late summer to early autumn 1998, 2000, 2001 and 2002. Lower peak of chlorophyll a in plume area also evident during April of 1998, 2000, 2001 and 2002 and May 1999. In this study, the Tokachi River discharge increases in spring and from August to September due to snow melting and rainfall causes by atmospheric depression or typhoons respectively ( Similar pattern were reported in Mississippi River where chlorophyll a data showed elevated concentration in spring and autumn due to increasing of river discharge (Wysocki et al., 2006). According to Usui et al. (2006), chlorophyll a concentrations in the water column were highest in spring and autumn while lower in summer in Tokachi River water. Wang (2006) reported that chlorophyll a concentration in Changjiang plume was highly correlated with Changjiang freshwater discharge and phosphate concentration.

Phytoplankton blooms are commonly reported in river-influenced marine water (e.g., in Amazon estuary by Shipe et al. (2006); Bay of Biscay by Gohin et al. (2003); Guadiana River plume, Gulf of Mexico by Signoret et al. (2006); Iberian Peninsula by Cravo et al. (2006); Mississippi River plume by Wysocki et al. (2006); Sepik River by Davies (2004) and Higgins et al. (2006)) during high river discharge. High amounts of nutrient (Si, N, P etc.) enter the coastal water from terrestrial freshwater input that enhances phytoplankton growth rates (Sierra et al., 2002; Perez et al., 2003). Huret et al. (2005) also indicated that increasing primary production in plume area due to high nutrient supply during high river discharge in Rio de la Plata plume.

The chlorophyll a concentration in Tokachi River plume was approximately two times higher during high river discharge than during low discharge. Higgins et al. (2006) also indicate that higher chlorophyll a concentration occurred in the Bismarch Sea during high river discharge compared to low river discharge. During low river discharge, a decrease in nutrient input occurs, leading to a reduction in primary productivity (Signoret et al., 2006).

However, higher chlorophyll a was observed in offshore water over the 5-year study period during spring. High chlorophyll a concentration in offshore area was observed in 1998, 2001 and 2002. This was also indicated by low SST and increased in wind stress. Elevated chlorophyll α in spring with increment of wind stress was also shown in Gulf of California (Douglas et al., 2007). Lower chlorophyll a concentration occurred in 1999 and 2000. According to Kasai et al. (1997) and Usui et al. (2006) offshore water of this study region was characterized as Oyashio water. In the Oyashio water, intensive phytoplankton blooms occurred in April and May and relatively small blooms are observed in October.

A small secondary bloom of chlorophyll a (offshore water) in September/October due to increased of primary productivity. This increase can be attributed to renewal of wind mixing and injection of nutrient into a nutrient-depleted upper layer and adequate mean irradiance in the mixed layer (Limsakul et al., 2002).

Coastal areas receive significant amounts of nutrient mostly from land-based source, which contribute to increased chlorophyll a concentration in coastal and marine environment. The effects of freshwater discharge to the coastal water can be minimized by controlling the flow using civil infrastructure (e.g., dam). This will minimize eutrophication rates processes in coastal water. Coastal areas are important nursery ground for various marine fish species and are directly affected by freshwater inputs. Freshwater inputs also contribute to increasing coastal fisheries production due to land-based run-off. This has been recognized in many places, i.e., nursery grounds for the common sole in Vilaine Bay, France (Le Pape et al., 2003), major feeding ground of the Japan Pacific population of walleye Pollock in the southeastern coast of Hokkaido Island (Yamamura et al., 2002).


This study revealed variability of chlorophyll a concentration at the Tokachi River plume using satellite images and GIS. The variability of chlorophyll a concentration in plume area was strongly influenced by river discharge. The variability in chlorophyll a concentration in the Tokachi River plume was linked to variability in discharge of the Tokachi River, especially during late summer to early autumn. Offshore chlorophyll a bloom was influenced by low sea surface temperature and also low wind stress.


We thank the Distribution Active Archive Center at the NASA Goddard Space Flight Center for the production and distribution of the SeaWiFS data and the River Environment Engineering Division, River Bureau, Ministry of Land, Infrastructure and Transport, Government of Japan for the river discharge data. We are also grateful to the Hokkaido University for their support, Malaysian Government and Universiti Kebangsaan Malaysia for the scholarship awarded during the period of the study.

1:  Bay, S., B.H. Jones, K. Schiff and L. Washburn, 2003. Water quality impacts of stormwater discharges to Santa Monica Bay. Marine Environ. Res., 56: 205-223.
CrossRef  |  

2:  Chen, L.Y. and H.Y. Chen, 2006. Seasonal dynamics of primary and new production in the northern South China Sea: The significance of river discharge and nutrient advection. Deep-Sea Res. Part I Oceanographic Res. Papers, 53: 971-986.
CrossRef  |  

3:  Cravo, A., M. Madureira, H. Felicia, F. Rita and M.J. Bebianno, 2006. Impact of outflow from the Guadiana River on the distribution of suspended particulate matter and nutrients in the adjacent coastal zone. Estuarine Coastal Shelf Sci., 70: 63-75.
CrossRef  |  

4:  Cruzado, A. and Z.R. Velasquez, 1990. Nutrients and phytoplankton in the gulf of lions, northwestern mediterranean. Continental Shelf Res., 10: 931-942.
CrossRef  |  

5:  Cruzado, A., Z.R. Velasquez, M.D.C. Perez, N. Bahamon, N.S. Grimaldo and F. Ridolfi, 2002. Nutrient fluxes from the Ebro River and subsequent across-shelf dispersion. Continental Shelf Res., 22: 349-360.
CrossRef  |  

6:  Davies, P., 2004. Nutrient processes and chlorophyll in the estuary and plume of the Gulf of Papua. Continental Shelf Res., 24: 2317-2341.
CrossRef  |  

7:  Douglas, R., O. Gonzalez-Yajimovich, J. Ledesma-Vazquez and F. Staines-Urias, 2007. Climate forcing, primary production and the distribution of holocene biogenic sediments in the Gulf of California. Quaternary Sci. Rev., 26: 115-129.
CrossRef  |  

8:  Findlay, H.S., A. Yool, M. Nodale and J.W. Pitchford, 2006. Modelling of autumn plankton bloom dynamics. J. Plankton Res., 28: 209-220.
CrossRef  |  Direct Link  |  

9:  Gohin, F., L. Lampert, J.F. Guillaud, A. Herbland and E. Nezan, 2003. Satellite and in situ observations of a late winter phytoplankton bloom, in the Northern Bay of Biscay. Continental Shelf Res., 23: 1117-1141.
CrossRef  |  

10:  Hama, T., K.H. Shin and N. Handa, 1997. Spatial variability in the primary productivity in the East China Sea and its adjacent waters. J. Oceanographic, 53: 41-51.
Direct Link  |  

11:  Higgins, H.W., D.J. Mackey and L. Clementson, 2006. Phytoplankton distribution in the Bismarch Sea North of Papua New Guinea: The effect of the Sepik River outflow. Deep-Sea Res. I Oceanographic Res. Papers, 53: 1845-1863.
Direct Link  |  

12:  Huret, M., I. Dadou, F. Dumas, P. Lazure and V. Garcon, 2005. Coupling physical and biogeochemical processes in the Rio de la Plata plume. Continental Shelf Res., 25: 629-653.
CrossRef  |  

13:  Kasai, H., H. Saito, A. Yoshimori and S. Taguchi, 1997. Variability in timing and magnitude of spring bloom in the Oyashio region, the Western subartic Pacific off Hokaido, Japan. Fish. Oceanogr., 6: 118-129.
CrossRef  |  Direct Link  |  

14:  Kouame, K.V., O.B. Yapo, V. Mambo, A. Seka, A.S. Tidou and P. Houenou, 2009. Physicochemical characterization of the waters of the coastal rivers and the lagoonal system of cote d`Ivoire. J. Applied Sci., 9: 1517-1523.
CrossRef  |  Direct Link  |  

15:  Le Pape, O.L., F. Chauvet, Y. Desaunay and D. Guerault, 2003. Relationship between interannual variations of the river plume and the extent of nursery grounds for the common sole (Solea solea, L.) in Vilaine Bay. Effects on recruitment variability. J. Sea Res., 50: 177-185.
CrossRef  |  

16:  Le, V.S., T. Yamashita, T. Okunishi, R. Shinohara and M. Miyatake, 2006. Characteristics of suspended sediment material transport in the Ishikari Bay in snowmelt season. Applied Ocean Res., 28: 275-289.
CrossRef  |  

17:  Lihan, T., S.I. Saitoh, T. Iida, T. Hirawake and K. Iida, 2008. Satellite-measured temporal and spatial variability of the Tokachi River plume. Estuarine Coastal Shelf Sci., 78: 237-249.
CrossRef  |  

18:  Limsakul, A., T. Saino, J.I. Goes and T. Midorikawa, 2002. Seasonal variability in the lower trophic level environments of the western subtrophical pacific and oyashio waters a retrospective study. Deep Sea Res. Part II Top. Studies Oceanography, 49: 5487-5512.

19:  Miller, R.L. and B.A. McKee, 2004. Using MODIS Terra 250 m imagery to map concentration of total suspended matter in coastal waters. Remote Sensing Env., 93: 259-266.
CrossRef  |  

20:  Nagao, S., T. Usui, M. Yamamoto, M. Minagawa, T. Iwatsuki and A. Noda, 2005. Combined use of ∆14C and δ13C values to trace transportation and deposition processes of terrestrial particulate organic matter in coastal marine environments. Chem. Geol., 218: 63-72.
CrossRef  |  

21:  Nezlin, N.P. and P.M. DiGiacomo, 2005. Satellite ocean color observations of stormwater runoff plumes along the San Pedro Shelf (Southern California) during 1997-2003. Continental Shelf Res., 25: 1692-1711.
CrossRef  |  

22:  Perez, B.C., J.W. Day Jr., D. Justic and R.R. Twilley, 2003. Nitrogen and phosphorus transport between Fourleague Bay, LA, and the Gulf of Mexico: The role of winter cold fronts and Atchafalaya River discharge. Estuarine Coastal Shelf Sci., 57: 1065-1078.
CrossRef  |  

23:  Schernewski, G., T. Neumann, V. Podsetchine and H. Siegel, 2001. Spatial impact of the Oder river plume on water quality along the South-Western Baltic coast. Int. J. Hyg. Environ. Health, 204: 143-155.
PubMed  |  

24:  Shah, M.M.R., M.Y. Hossain, M. Begum, Z.F. Ahmed and J. Ohtomi et al., 2008. Seasonal variations of phytoplanktonic community structure and production in relation to environmental factors of the Southwest Coastal waters of Bangladesh. J. Fish. Aquatic Sci., 3: 102-113.
CrossRef  |  Direct Link  |  

25:  Shipe, R.F., J. Curtaz, A. Subramaniam, E.J. Carpenter and D.G. Capone, 2006. Diatom biomass and productivity in oceanic and plume-influenced waters of the western tropical Atlantic ocean. Deep Sea Res. Part I Oceanographic Res. Papers, 53: 1320-1334.
CrossRef  |  

26:  Sierra, J.P., A. Sanchez-Arcilla, J.G.D. Rio, J. Flos and E. Movellan et al., 2002. Spatial distribution of nutrients in the Ebro estuary and plume. Cont. Shelf Res., 22: 361-378.
CrossRef  |  

27:  Signoret, M., M.A. Monreal-Gomez, J. Aldeco and D.A. Salas-de-Leon, 2006. Hydrography, oxygen saturation, suspended particulate matter and chlorophyll-a fluorescence in an oceanic region under freshwater influence. Estuarine Coastal Shelf Sci., 69: 153-164.
CrossRef  |  

28:  Smith, Jr. W.O. and D.J. Demaster, 1996. Phytoplankton biomass and productivity in the Amazon River plume: Correlation with seasonal river discharge. Cont. Shelf Res., 16: 291-319.
CrossRef  |  

29:  Thomas, A.C. and R.A. Weatherbee, 2006. Satellite-measured temporal variability of the Columbia River plume. Remote Sensing Environ., 100: 167-178.
CrossRef  |  

30:  Usui, T., S. Nagao, M. Yamamoto, K. Suzuki and I. Kudo et al., 2006. Distribution and sources of organic matter in surficial sediments on the shelf and slope off Tokachi, western North Pasific, inferred from C and N stable isotopes and C/N ratios. Marine Chem., 98: 241-259.
Direct Link  |  

31:  Wang, B., 2006. Cultural eutrophication in the Changjiang (Yangtze River) plume: History and perspective. Estuarine Coastal Shelf Sci., 69: 471-477.
CrossRef  |  

32:  Wang, X.C., R.F. Chen and G.B. Gardner, 2004. Sources and transport of dissolved and particulate organic carbon in the Mississippi River estuary and adjacent coastal waters of the northern Gulf of Mexico. Marine Chem., 89: 241-256.
CrossRef  |  

33:  Wysocki, L.A., T.S. Bianchi, R.T. Powell and N. Reuss, 2006. Spatial variability in the coupling of organic carbon, nutrients, and phytoplankton pigments in surface waters and sediments of the Mississippi River plume. Estuarine Coastal Shelf Sci., 69: 47-63.
CrossRef  |  

34:  Yamamura, O., S. Honda, O. Shida and T. Hamatsu, 2002. Diets of walleye Pollock Theragra chalcogramma in the Doto area, northern Japan: Ontogenetic and seasonal variations. Marine Ecol. Prog. Ser., 238: 187-198.
Direct Link  |  

©  2021 Science Alert. All Rights Reserved