Microplastic (MP) debris is now a global concern. The Chao Phraya is the largest river in Thailand and transports MPs from terrestrial areas to the ocean. MP debris in its water and sediment were measured in March 2021, September 2021, and March 2022 in five provinces along the watercourse. Hydrological data were also collected to estimate the MP riverine flux between provinces. Size, shape, color, and types of MP polymers were observed, with sedimentation data collected for MP content. Results showed that MPs were found at all sample stations, with average abundance in all province water samples ranging from 0.54 ± 0.05 to 1.07 ± 0.28 pieces/L, while in sediment sample, numbers ranged from 183.84 ± 38.76 to 546.18 ± 86.84 pieces/kg dry weight throughout all seasons. Overall contamination and accumulation were similar between provinces but significantly different between seasons. Sizes of MPs in water varied between seasons with MPs in sediment mostly 330–5,000 μm (Kruskal–Wallis, P < 0.05). Sedimentation of MPs was different between seasons (Kruskal–Wallis, P < 0.05). The highest MP flux values discharged from Samut Prakan Province to the inner Gulf of Thailand were 1.83 × 105 and 1.60 × 105 million items/day in September 2021 and March 2022, respectively.

  • Highest microplastic (MP) riverine flux discharged into the sea was recorded as 183,000 million items/day.

  • Fiber MPs were abundant in both water and sediment samples, with fragment MPs significantly higher in sediment samples than in water samples.

  • Significant seasonal variations were found in water and sediment samples.

  • Water discharge and current velocity play important roles in MP contamination in riverine ecosystems.

Microplastics (MPs) now present a global debris problem with serious impacts on ecology and the environment. Plastics are made from non-renewable crude oil by several processes of fractionation and polymerization (Lithner et al. 2011). They are durable and accumulate in the environment causing serious concerns in aquatic ecosystems (Barnes et al. 2009). Macroplastics discharged onto the land break up into smaller pieces that are transported by surface runoff to rivers, and eventually to oceans, causing polluted habitat for benthic organisms.

Plastic debris breaks down into small pieces known as MPs, defined as small pieces of plastic with a size less than 5 mm in diameter (Barnes et al. 2009). MPs are categorized into two types depending on their origin. Primary MPs result from microbeads, while secondary MPs are broken down from large to small pieces of plastic by physical, chemical and biological interactions (Cole et al. 2011). MPs in the environment accumulate in aquatic animals by feeding. Previous studies have reported MP contamination in varied ecosystems such as beaches (Dowarah & Devipriya 2019), sediment (Firdaus et al. 2020), rivers (Kataoka et al. 2019), ocean (Kwon et al. 2020) and aquatic animals (Lefebvre et al. 2019) including indoor dust (Kashfi et al. 2022) and particulate matter (PM2.5) from the atmospheric environment (Akhbarizadeh et al. 2021a).

MP contamination has also been reported in bottled drinking water (Akhbarizadeh et al. 2020a). The leaching of contaminants is an emerging concern in plastic bottled water. Phthalates or phthalic acid esters are added to plastics to make them more flexible. These plasticizers can contribute to the release of MPs into the environment. When plastic products that contain plasticizers are disposed of, they become brittle and breakdown into smaller particles that become MPs. These can associate with toxic substances and heavy metals in the environment, as found around the Persian Gulf Coastline in Iran (Dobaradaran et al. 2018; Hajiouni et al. 2022; Mohammadi et al. 2022). Akhbarizadeh et al. (2020b) found that canned tuna and mackerel were contaminated with MPs, thereby causing long-term impacts on human health.

Rivers are the main transportation routes of plastic and MP debris to the ocean from sewage discharge (Zhao et al. 2020). Plastic debris flow to the ocean in Thailand in 2015 was rated the sixth highest in the world (Jambeck et al. 2015). In Thailand, the Chao Phraya River draining the central part of the country has the highest water discharge flow to the estuary (HII 2012). Many anthropogenic activities in the Chao Phraya River basin discharge large amounts of plastic and MP debris into the riverine ecosystem. During the COVID-19 pandemic, studies showed that using personal protection equipment such as face masks and plastic gloves caused secondary MP pollution in the water environment (Akhbarizadeh et al. 2021b; De-la-Torre et al. 2022; Cabrejos-Cardeña et al. 2023).

The Chao Phraya River is a source of drinking water but the discharge of MP-polluted wastewater (i.e., brine) degrades water quality, making it unsuitable for drinking and industrial applications (Panagopoulos 2022; Panagopoulos & Giannika 2022). Wastewater management and desalination technologies are applied to produce drinking or agricultural water using renewable solar or wind farm energy to reduce the amount of plastic waste in the freshwater environment (Panagopoulos 2021).

Water treatment plants along the watercourse reduce plastic pollution from wastewater entering the aquatic environment. MP pollution is also removed during wastewater treatment processes (Takdastan et al. 2021). Proper methods to reduce MP pollution by wastewater treatment plants need to be developed to reduce the release of MPs and associated pollutants from anthropogenic activities into the environment in the future.

This study assessed the quantity of MPs in sedimentation and riverine flux in each province along the Chao Phraya River to clarify the MP pollution situation in Thailand. This research studied the distribution, abundance, composition and flux of MP debris in five provinces along the watercourse of the Chao Phraya River. MPs were collected in sediment using a sediment trap. Hydrological water quality data were also collected to estimate MP riverine flux and accumulation of MPs between provinces to clarify the extent of MP debris transported along the Chao Phraya River. The research focused on MP spatial distribution and seasonal variation, both quantitatively and qualitatively. MP riverine flux was estimated in each province along the Chao Phraya River using mathematical modeling modified from a box model.

Study area and sampling sites

The Chao Phraya River is a principal waterway located in the central part of Thailand draining an area of 20,523 km2 (HII 2012). The Chao Phraya River originates in Nakhon Sawan Province at the confluence of the Ping, Wang, Yom and Nan Rivers, 379 km inland from the estuary (HII 2012). This major river flows through the central plains of Thailand where intensive agricultural, aquacultural, industrial and residential areas are located.

Sample collections were conducted at the neap tide in March 2021, September 2021 and March 2022. MPs in the surface water and sediment were collected from 13 sampling stations in five provinces along the Chao Phraya River (Figure 1). These sampling stations comprised Samut Prakan (C1, C2 and C3), Bangkok (C4, C5 and C6) and Nonthaburi (C7, C8 and C9) located in the lower Chao Phraya River, and Pathum Thani (C10 and C11) and Phra Nakhon Si Ayutthaya (C12 and C13) located in the middle Chao Phraya River. Sampling was conducted in March 2021 and 2022 as the dry season and September 2021 as the wet season.
Figure 1

Location of sampling stations along the Chao Phraya River.

Figure 1

Location of sampling stations along the Chao Phraya River.

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Hydrological and water quality data gathering

Water velocities were recorded at all sampling stations at a depth of 50 cm from the surface by an Alec electromagnetic current meter (JFE Advantech, Japan). Data for calculating the cross-sectional areas of the river were collected from a speedboat positioned perpendicular to the riverbanks using a handheld global positioning system (Garmin, Switzerland) and portable depth meter (Hondex, Japan), with results calculated by Surfer 22.0. Water quality data including salinity, temperature, pH and dissolved oxygen were collected by a multiparameter water quality meter (YSI, USA) with transparency data recorded using a Secchi disc.

MP sampling method

The water and sediment sampling processes were modified by Chinfak et al. (2021). One water sample was collected in the middle of the river channel at each sampling station. About 200 L of water were collected at each sampling station in pre-cleaned 10-L stainless steel containers. The samples were then filtrated through three layers of 330-, 150- and 15-μm mesh size plankton nets stacked from top to bottom. The water samples were stored in 250 mL bottles, and 10% formalin (QReC, New Zealand) was added before analysis to inhibit decomposition and degradation from microorganisms.

One sediment sample was collected at the side of the river channel at each sampling station by a 15 cm × 15 cm × 10 cm Ekman grab as a 2-cm surface layer using a stainless steel spoon. All sediment samples were stored at −20 °C before analysis in a laboratory at Kasetsart University.

Sedimentation rate and MP data were collected using a sediment trap, with the protocol modified from Saarni et al. (2017). The sediment trap was set at C8 with the borderline between the middle and lower parts of the Chao Phraya River (Figure 2(a)). The sediment trap was composed of two cylindrical columns with a diameter and height of 10 and 50 cm, respectively. Buoys were used to float and locate the sediment trap. A signal buoy was placed on the water surface, with a flotation buoy in the middle of the water column to set the trap perpendicular to the water column. A sandbag was used to anchor the sediment trap (Figure 2(b)).
Figure 2

(a) Sedimentation sampling station and (b) configuration of sedimentation trap (a: signal buoy, b: floatation buoy, c: collector tubes, d: sandbag).

Figure 2

(a) Sedimentation sampling station and (b) configuration of sedimentation trap (a: signal buoy, b: floatation buoy, c: collector tubes, d: sandbag).

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MP separation

MP separation protocol was modified from the method of the National Oceanic and Atmospheric Administration (NOAA). Water samples were measured for volume and the wet peroxide oxidation (WPO) method was followed by adding 30% hydrogen peroxide (QReC, New Zealand) and 1% potassium hydroxide (QReC, New Zealand) at 9:1 and increasing the temperature to 75 °C while stirring until the organic gas bubbles disappeared. The organic matter was removed after 24 h. MPs were recovered using the density separation procedure by adding 1.3 g/cm3 NaCl solution and stirring with a glass rod. The supernatant was collected after standing for 24 h and filtered through a glass microfiber filter (Whatman GF/C pore size: 1.2 μm; diameter: 47 mm). The filter papers were dried in an oven at 60 °C and stored in glass Petri dishes with glass lids for later visualization and identification.

The sediment samples were homogenized, dried and weighed before analysis in the laboratory. The MPs were separated from the sediment by adding 1.3 g/cm3 NaCl solution, stirring with a stirrer and then waiting for 24 h before collecting the supernatant. The same protocol was followed for the water samples using the WPO method, density separation procedure, filtration and drying in an oven. After separation, the samples were stored for visualization and identification. Sediments from the sediment trap were analyzed following the same procedure used for the sediment samples.

MP visualization and identification

The number, size, shape and color of the MP particles on the filter papers were observed and the number of pieces was counted using a stereo microscope (Olympus, Germany). The hot needle test was used to separate the MPs (De Witte et al. 2014). MP sizes were measured by the ImageJ program and categorized into three size ranges: 15–150 μm, 150–330 μm and 330–5,000 μm. All MPs were classified as fibers, fragments, films, pellets and foams (Ding et al. 2019). Six colors of MPs were recorded as black, blue, red, green, yellow and white with clear items also counted. The MPs were grouped by shape and color and verified at about 10% of the total MP particles in the water and sediment samples, while sedimentation traps were analyzed at 100%. The MP particles were separated as one item per Petri dish and verified by comparing reflection wavelengths and reference data in the database using a Fourier Transform Infrared Spectrophotometer (FTIR Type II; Perkin Elmer, UK).

MP sedimentation and flux calculation

Microplastic sedimentation rate (MSR) was calculated as the number of MP particles that settled into the sediment traps, as shown in Equation (1), while sedimentation rate (SR) followed Equation (2). MP riverine flux was calculated as the number of MPs. Water velocity and cross-sectional area data were used to estimate the number of MP particles that accumulated at each sampling station, as shown in Equation (3):
(1)
(2)
(3)

SR refers to the sedimentation rate (g/m2/day); m refers to the mass of sediment (g); MSR refers to the microplastic sedimentation rate (items/m2/day); MPflux refers to the microplastic riverine flux (items/day); MPn refers to the quantity of microplastics in sediment trap (items); MPconc refers to the contamination of microplastics in water (items/m3); As refers to the sediment trap opening cover area (m2); A refers to the cross-sectional area (m2); v refers to the current velocity (m/s); t refers to the soaking time (day).

Quality control

Three blank controls obtained by distilling deionized water were analyzed in our laboratory following the same procedures used for the water and sediment samples. Results from the three blank controls showed no MP contamination.

Statistical analysis

Normal distribution was tested by the Shapiro-Wilk test (P-value = 0.05). Nonparametric statistics were also performed. The Kruskal–Wallis H test and pairwise comparison were used to test for MP abundance between provinces and seasons (P-value = 0.05).

Hydrological data

Hydrological data were collected during the neap tides of September 2021 (wet season) and March 2022 (dry season). Current velocities and cross-sectional areas are shown in Table 1. Current velocities ranged from 0.08 to 0.27 m/s and 0.1 to 1.13 m/s in September 2021 and March 2022, respectively. In the wet season, current velocities during the sampling periods were lower than in the dry season caused by tidal elevation in the daily cycle. In March 2022, all data were collected during the ebb tide (11.00–18.00), while in September 2021 all data were collected during the flood tide (9.00–17.00). Tidal cycles caused different current velocities and water elevation in the Chao Phraya River. The highest cross-sectional area was recorded at C1 in Samut Prakan Province at the estuary of the Chao Phraya River for both sampling times. Water quality data collected at all sampling stations are shown in Table 2. The composition of ions in the Chao Phraya River water varies depending on several factors such as agricultural runoff, industrial discharge and urban wastewater discharge. Water contains various ions including bicarbonate, calcium, magnesium, sodium, chloride, sulfate and nitrate as well as other trace elements such as iron, manganese and zinc (Horiuchi et al. 2020). Water quality in the Chao Phraya River has been a concern for many years; it is impacted by various pollutants including heavy metals, organic compounds, nutrients and mismanagement debris. Dissolved oxygen was generally below 4 mg/L, indicating poor water quality in the Chao Phraya River Estuary that can affect aquatic animals. However, water quality data such as temperature, salinity, pH, transparency and dissolved oxygen were not significantly correlated with the abundance of MPs.

Table 1

Current velocities and cross-sectional areas at all sampling stations in September 2021 and March 2022

Sampling siteCurrent velocity (m/s)
Cross-sectional area (m2)
Sep 2021Mar 2022Sep 2021Mar 2022
C1 0.13 0.30 12,465 9,774 
C2 0.13 1.13 3,590 3,194 
C3 0.12 1.02 3,661 3,209 
C4 0.10 1.07 3,167 2,898 
C5 0.25 0.83 2,827 2,609 
C6 0.10 0.94 2,815 2,616 
C7 0.17 0.99 3,245 2,985 
C8 0.28 0.23 3,225 2,884 
C9 0.11 0.18 3,096 2,703 
C10 0.08 0.20 2,424 2,197 
C11 0.10 0.52 2,401 2,215 
C12 0.12 0.11 11,824 11,344 
C13 0.16 0.10 6,480 6,051 
Sampling siteCurrent velocity (m/s)
Cross-sectional area (m2)
Sep 2021Mar 2022Sep 2021Mar 2022
C1 0.13 0.30 12,465 9,774 
C2 0.13 1.13 3,590 3,194 
C3 0.12 1.02 3,661 3,209 
C4 0.10 1.07 3,167 2,898 
C5 0.25 0.83 2,827 2,609 
C6 0.10 0.94 2,815 2,616 
C7 0.17 0.99 3,245 2,985 
C8 0.28 0.23 3,225 2,884 
C9 0.11 0.18 3,096 2,703 
C10 0.08 0.20 2,424 2,197 
C11 0.10 0.52 2,401 2,215 
C12 0.12 0.11 11,824 11,344 
C13 0.16 0.10 6,480 6,051 
Table 2

Water quality data at all sampling stations during March 2021 and 2022

Sampling siteSalinity
Temperature (°C)
Dissolved oxygen (mg/L)
Transparency (m)
pH
Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022
C1 29.4 32.00 21.32 29.5 29.6 29.9 1.53 0.66 1.60 0.80 0.30 1.10 7.21 7.06 7.51 
C2 23.0 0.19 9.87 29.4 29.8 29.9 2.10 0.55 3.72 1.00 0.30 1.20 7.10 6.96 7.26 
C3 19.0 0.17 7.74 29.7 29.9 30.4 2.50 0.72 3.43 2.00 0.20 1.50 7.23 6.91 7.27 
C4 11.9 0.15 1.84 29.9 29.9 30.0 2.96 1.80 2.80 1.00 0.30 0.80 7.26 6.93 7.29 
C5 9.8 0.15 0.60 29.8 29.9 29.7 2.12 1.97 1.66 0.60 0.25 0.90 7.31 6.97 7.58 
C6 8.1 0.14 0.35 29.6 30.0 30.0 2.66 2.29 3.00 1.00 0.20 1.00 7.36 6.91 7.61 
C7 5.2 0.14 0.27 29.7 30.0 29.9 2.82 2.40 2.30 0.80 0.25 1.00 7.32 6.89 7.61 
C8 4.1 0.14 0.24 29.5 30.3 30.1 3.06 2.81 3.66 2.00 0.25 1.00 7.42 6.79 7.58 
C9 2.6 0.13 0.23 30.1 30.5 30.0 3.20 2.94 3.50 1.00 0.30 0.60 7.45 6.96 7.57 
C10 1.9 0.11 0.19 30.0 30.4 29.9 3.46 3.02 3.37 0.80 0.20 0.70 7.38 6.95 7.59 
C11 1.1 0.11 0.18 30.1 30.4 29.9 3.62 2.98 3.76 1.00 0.25 0.60 7.46 6.99 7.60 
C12 0.4 0.11 0.17 30.2 30.5 29.8 3.80 3.21 4.08 1.00 0.20 0.80 7.39 6.94 7.69 
C13 0.2 0.10 0.18 30.3 30.7 30.3 3.90 3.70 4.07 1.20 0.30 1.00 7.41 7.04 7.58 
Sampling siteSalinity
Temperature (°C)
Dissolved oxygen (mg/L)
Transparency (m)
pH
Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022Mar 2021Sep 2021Mar 2022
C1 29.4 32.00 21.32 29.5 29.6 29.9 1.53 0.66 1.60 0.80 0.30 1.10 7.21 7.06 7.51 
C2 23.0 0.19 9.87 29.4 29.8 29.9 2.10 0.55 3.72 1.00 0.30 1.20 7.10 6.96 7.26 
C3 19.0 0.17 7.74 29.7 29.9 30.4 2.50 0.72 3.43 2.00 0.20 1.50 7.23 6.91 7.27 
C4 11.9 0.15 1.84 29.9 29.9 30.0 2.96 1.80 2.80 1.00 0.30 0.80 7.26 6.93 7.29 
C5 9.8 0.15 0.60 29.8 29.9 29.7 2.12 1.97 1.66 0.60 0.25 0.90 7.31 6.97 7.58 
C6 8.1 0.14 0.35 29.6 30.0 30.0 2.66 2.29 3.00 1.00 0.20 1.00 7.36 6.91 7.61 
C7 5.2 0.14 0.27 29.7 30.0 29.9 2.82 2.40 2.30 0.80 0.25 1.00 7.32 6.89 7.61 
C8 4.1 0.14 0.24 29.5 30.3 30.1 3.06 2.81 3.66 2.00 0.25 1.00 7.42 6.79 7.58 
C9 2.6 0.13 0.23 30.1 30.5 30.0 3.20 2.94 3.50 1.00 0.30 0.60 7.45 6.96 7.57 
C10 1.9 0.11 0.19 30.0 30.4 29.9 3.46 3.02 3.37 0.80 0.20 0.70 7.38 6.95 7.59 
C11 1.1 0.11 0.18 30.1 30.4 29.9 3.62 2.98 3.76 1.00 0.25 0.60 7.46 6.99 7.60 
C12 0.4 0.11 0.17 30.2 30.5 29.8 3.80 3.21 4.08 1.00 0.20 0.80 7.39 6.94 7.69 
C13 0.2 0.10 0.18 30.3 30.7 30.3 3.90 3.70 4.07 1.20 0.30 1.00 7.41 7.04 7.58 

Abundance and distribution of MPs

Abundance and distribution of MPs in the water

Average MP abundance in the water samples in March 2021, September 2021, and March 2022 ranged from 0.84 ± 0.08 to 0.95 ± 0.04 items/L, 0.86 ± 0.07 to 1.07 ± 0.28 items/L and 0.54 ± 0.05 to 0.64 ± 0.01 items/L, respectively. Average abundances of MPs in all provinces between seasons are shown in Figure 3. The highest average concentration of MPs in water was found in Samut Prakan Province in September 2021 at 1.07 ± 0.28 items/L (Figure 3(a)). This province is located at the estuary of the Chao Phraya River where all the pollution aggregates and discharges to the inner Gulf of Thailand. The second highest concentration of MPs was also found in September 2021 in Bangkok Province, with the average value of 0.95 ± 0.21 items/L. The capital is located to the north of Samut Prakan Province. Spatial distribution demonstrated that contamination of MPs between provinces was not significantly different. In terms of temporal distribution, MP concentration in the water samples was significantly lower in March 2022 (Kruskal–Wallis, P < 0.05).
Figure 3

Seasonal variation of average MP abundance (items/L) in (a) water and (b) sediment (items/kg dw) in the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Figure 3

Seasonal variation of average MP abundance (items/L) in (a) water and (b) sediment (items/kg dw) in the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

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Comparison of our results with other studies should consider diverse sampling protocols, extraction, analysis and reporting units (Aliabad et al. 2019). Our results used similar protocol and reporting units as previous studies. Different water velocities during sampling also impact MP abundance. Talbot & Chang (2021) suggested that increased current velocity reduced MP contamination in the surface water of the river. MP abundances concurred with studies on the Tapi-Phumduang River, Thailand (0.68–2.81 items/L) (Chinfak et al. 2021) and Hudson River, USA (0.98 items/L) (Miller et al. 2017), while our concentrations of MPs were lower than in the Yangtze River Basin (0.3–3.1 items/L) (Su et al. 2018) and the Wei River (3.67–10.7 items/L) (Ding et al. 2019).

MP contamination in water values was similar but river size, water flow, turbulence and community density along the banks are also crucial factors that must be considered when comparing and analyzing contamination in water and sediment. Differences in these factors can significantly affect the amount of MPs released into the environment. Large rivers with high water runoff have a greater impact on the amount of MPs discharged into the environment than small rivers with low water runoff. Waste management potential in each province and region is another factor that impacts the amounts of MP pollution in watercourses and accumulation in sediment throughout Thailand.

Highest abundances of MPs in the water were found near the estuary in Bangkok and Samut Prakan Provinces, indicating that MPs have a long residence time before flowing out of the estuary because tidal fluctuations near the estuary increase MP accumulation in surface water (Oo et al. 2021). Higher contamination of MPs in the surface water of riverine ecosystems also resulted from higher anthropogenic utilization near the sampling stations.

Abundance and distribution of MPs in the sediment

MP average abundance in sediment samples in March 2021, September 2021 and March 2022 ranged from 316.74 ± 83.49 to 546.18 ± 86.84 items/kg dw, 198.02 ± 63.90 to 313.13 ± 153.05 items/kg dw and 183.84 ± 38.76 to 361.83 ± 62.38 items/kg dw, respectively. Average seasonal abundances of MPs in each province are shown in Figure 3. The highest average MP concentration was found in Nonthaburi Province in March 2021 (Kruskal–Wallis, P < 0.05) at 546.18 ± 86.84 items/kg dw. The lowest average MP concentration was found in Phra Nakhon Si Ayutthaya Province during March 2022 at 183.84 ± 38.76 items/kg dw.

Concentrations of MPs in sediment were lower than those found by Ta et al. (2020) at 2,290 items/kg. MPs are primarily generated from the breakdown of larger plastic materials. Reducing plastic utilization following the roadmap on plastic waste management (2018–2030) in Thailand will decrease the amount of MPs released into the environment. Improved waste management practices, including recycling and proper disposal, will also reduce the amount of plastic waste that enters the environment, thereby decreasing MP contamination in rivers. Implementation of regulations to limit the use of single-use plastics or the release of MPs into the environment can also lead to a reduction in MP contamination, while changes in hydrological patterns, such as increasing river flow could also result in decreasing MP contamination in sediment. Anthropogenic utilization around sampling sites should also be considered. Our results showed higher values than in the Tapi-Phumduang River system in Thailand (55–160 items/kg) (Chinfak et al. 2021), while waste accumulation in the Thames River in the UK was similar to our study (185–660 items/kg dw) (Horton et al. 2016). Interestingly, accumulations of MPs in river system sediment around the world were generally higher than in our study, with Pearl River (80–959 items/kg) (Lin et al. 2018), Wei River (360–1,320 items/kg) (Ding et al. 2019) and the Rhine River (228–3,763 items/kg) (Klein et al. 2015).

Spatial distributions of MPs between provinces were not significantly different but low MP accumulations were recorded in the middle part of the Chao Phraya River in Pathum Thani and Phra Nakhon Si Ayutthaya Provinces. MP accumulation increased in the lower part of the Chao Phraya River in Samut Prakan, Bangkok and Nonthaburi Provinces. The number of MP particles in the sediment at the river mouth increased, indicating that tidal fluctuations increased the probability of MP sedimentation. This phenomenon occurred because of the longer residence time of MPs near the estuary. Various mechanisms such as biofouling also increased MP density leading to increased MP settling to bed sediments near estuary sites (Kumar et al. 2021).

The abundance of MPs in the sediment increased from anthropogenic utilization near sampling stations, while hydrological factors also caused diverse accumulation of MPs in riverine ecosystem sediments. In the dry season (March 2021), highest accumulation of MPs was recorded, indicating that low water velocity and low water discharge levels affect the accumulation of MPs in sediment by increasing settling probability (Jiwarungrueangkul et al. 2021; Kundu et al. 2022).

Characteristics of MPs along the Chao Phraya River

Size of MPs

Abundance of 15–150 μm MPs in the water predominantly occurred in March 2021 (45.5%). Dominant size range of MPs shifted to 150–330 μm in September 2021 (46.9%) and to 330–5,000 μm in March 2022 (37.1%) (Kruskal–Wallis, P < 0.05) (Figure 4(a)). Sukhsangchan et al. (2020) reported high proportions of small-sized MPs at less than 330 μm in the surface water of the Chao Phraya River. In the Tapi-Phumduang River, Thailand, dominant MPs were the small size range at less than 1 mm (Chinfak et al. 2021), as also found in the Lis River in Portugal (et al. 2022). The size of MPs changed from small pieces of plastic to large pieces of plastic throughout the study period, demonstrating that decreasing degradation and fragmentation of MPs in rivers depended on hydrological environmental factors such as water discharge, water velocity and tidal fluctuation between seasons.
Figure 4

Seasonal variation of MP size (%) in (a) water and (b) sediment in the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Figure 4

Seasonal variation of MP size (%) in (a) water and (b) sediment in the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Close modal

In sediment samples, the 330–5,000 μm MPs were dominant in all seasons (Kruskal–Wallis, P < 0.05) as 75.6, 76.8 and 76.9% in March 2021, September 2021 and March 2022, respectively (Figure 4(b)). MPs in sediment were generally found with high proportions of large size. This result concurred with the Yong Feng River in China, where more than 60% of MPs were larger than 330 μm (Rao et al. 2019) and also the Skudai and Tebrau Rivers in Malaysia (Sarijan et al. 2018). MPs can remain suspended in water for a long time before settling into the sediment. Degradation processes in water from UV light are faster than mechanical degradation processes such as waves, turbulence or water currents. If MPs in rivers sink into the sediment, degradation processes will slow down. Large-sized MPs were mostly accumulated in sediment, with a higher probability of sinking into sediments than small-sized particles (Nizzetto et al. 2016). All sizes of MPs can disrupt the marine environment, especially benthic ecosystems. MPs can absorb and desorb hazardous pollutants which cause serious problems in the aquatic environment (Cox et al. 2019). Small-sized MPs can easily be ingested by organisms, leading to human health impacts in the food chain.

Shape of MPs

Fibers were the most abundant MPs in water during all seasons at 76.3, 81.5 and 84.3% in March 2021, September 2021 and March 2022, respectively (Kruskal–Wallis, P < 0.05). Films (9.0–13.1%) and fragments (5.1–7.8%) were found in lower numbers, while foams (0.7–2.5%) and pellets (0.1–1.3%) were also found in low numbers at all sampling stations (Figure 5(a)). A high proportion of fibers was found in surface water along the Chao Phraya River, concurring with previous studies by Alam et al. (2019) in the Ciwalenke River, Sukhsangchan et al. (2020) in the Chao Phraya River and Chinfak et al. (2021) in the Tapi-Phumduang River. This result indicated that fiber MPs emanate from the shredded cloth after washing in households in residential areas along the river, and large amounts of synthetic MPs enter the riverine ecosystem from sewerage waste (Šaravanja et al. 2022).
Figure 5

Seasonal variation of MP shape (%) in (a) water and (b) sediment in the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Figure 5

Seasonal variation of MP shape (%) in (a) water and (b) sediment in the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Close modal

Increased numbers of MP fragments in sediment samples were found in March 2022 (49.5%), while fibers were also dominant in March 2021 (59.6%) (Kruskal–Wallis, P < 0.05). Fibers were the dominant group in sediment, while fragments increased in September 2021. This result concurred with Ding et al. (2019) in the Wei River. They found that fibers showed potential for suspension in the water column before settling to sediment more than fragments over time (Kumar et al. 2021). The large surface area of fragments leads to biofouling, with increasing density compared to fibers of the same size. High proportions of fibers, fragments and films in the riverine ecosystem indicated that the most common types of MPs in our study area were secondary MPs. MP films were the third highest type at 10.9, 8.9 and 16.3% in March 2021, September 2021 and March 2022, respectively. Films were found at all sampling stations and were also prevalent in previous studies of the Chao Phraya River (Sukhsangchan et al. 2020; Ta et al. 2020). Film shapes emanated from rotten plastic bags used for various purposes. Plastic bags degrade by several breakdown mechanisms including photodegradation (Kumar et al. 2021). Small pieces of plastic are easily transported by surface runoff to increase accumulation in aquatic environments.

Plastic pellets were recorded at 0.5–1.8%, with only a small proportion of foams (Figure 5(b)) found in surface water and sediment. Low levels of pellets and foams possibly resulted from the roadmap on plastic waste management (2018–2030) in Thailand which banned the use of microbeads in personal care products. However, single-use foams as food carriers are still in use.

Color of MPs

Six MP colors as black, blue, red, green, yellow and white were recorded, including clear. Blue MPs were found in both water (41.3%) and sediment (39.9%). For fibers, blue was dominant (45%) (Kruskal–Wallis, P < 0.05) followed by black (34%) either in water or sediment throughout the study period. Fragments in water during all seasons were dominantly blue (64.5%) (Kruskal–Wallis, P < 0.05) while sediment fragment colors were predominantly blue in March 2021 (42.6%) and September 2021 (49.5%), but in March 2022 dominance shifted to green (44.9%) (Kruskal–Wallis, P < 0.05), as shown in (Figure 6). Pellets in both water and sediment samples were red, while foams were white and films were mostly clear (85.1%) (Kruskal–Wallis, P < 0.05) with small numbers of blue (10.3%), white (4.4%) and red (0.3%).
Figure 6

Seasonal variation of MP color (%) in (a) water and (b) sediment along the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA. Please refer to the online version of this paper to see this figure in colour http://dx.doi.org/10.2166/wh.2023.013.

Figure 6

Seasonal variation of MP color (%) in (a) water and (b) sediment along the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA. Please refer to the online version of this paper to see this figure in colour http://dx.doi.org/10.2166/wh.2023.013.

Close modal

For fibers, 45.0 and 45.2% found in water and sediment were blue, while 64.5 and 39.4% of fragments were also blue. Green was dominant for fragments in March 2022 (Kruskal–Wallis, P < 0.05), while black was found in fibers at all sampling stations. Red fibers were found at all sampling stations, with lower numbers of yellow fibers. Clear MPs were only found as fibers and films, while white MPs were mainly fragments and foams. Blue MPs were dominant in both water and sediment samples. These results concurred with Sarijan et al. (2018) who suggested that blue color was dominant in MPs and played an important role in preventing plastic photodegradation. Different wavelengths of ultraviolet irradiation impact the photodegradation of plastics. Light energy is transmitted by blue rather than red, and plastic degradation rates increase when the color does not effectively absorb UV transmittance (Zhao et al. 2022).

Composition of MP polymers

FTIR results identified the most common polymers in water samples as polyethylene terephthalate (PET, 65.8%), polypropylene (PP, 26.9%) and polyethylene (PE, 4.6%) (Figure 7), with PP (34.1%), PET (31.4%) and polyethylene (PE, 21.8%) the most common polymers in sediment. Polyester (PES) + cotton (CO) (65:35) were found in small amounts in water samples as fibers. Other polymers such as 2,2,4,4- tetramethyl-7-oxa-3,20-d, poly (bisphenol a-co-epichlorohydrin) (PBE), poly (ethylene:propylene:diene), poly (acrylonitrile ethylene propylene styrene) (AES) and polyethyleneimine (PEI) were also found in small amounts.
Figure 7

Seasonal variation of MP polymer (%) in (a) water and (b) sediment along the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Figure 7

Seasonal variation of MP polymer (%) in (a) water and (b) sediment along the Chao Phraya River: Samut Prakan-SPK, Bangkok-BKK, Nonthaburi-NBI, Pathum Thani-PTE, Phra Nakhon Si Ayutthaya-AYA.

Close modal

Results demonstrated that fiber polymers in water and sediment were PET at 81.9 and 70.2%, with PP at 16.8 and 28.8%. Fragmented MPs in water and sediment comprised PP at 55.8 and 43.3% with PE at 22.8 and 34.7%, respectively. Poly (ethylene:propylene:diene), PBE and PEI were found with fragment shapes in green, blue and white, respectively. Pellets and foams in water and sediment samples were PP, whereas films in water and sediment were mostly PP (68.6%) with small proportions of PE (21.0%) and 2,2,4,4-tetramethyl-7-oxa-3-20, diazadispiro (10.3%). Oo et al. (2021) found that MPs in the Chao Phraya River Estuary were mostly PP and PE, while our results showed PET as the dominant polymer group, as also reported in the Yangtze and Hanjiang Rivers in China (Wang et al. 2017) and Jiangzhou Bay (Zheng et al. 2019).

PET was mostly found in fiber shape. This polymer is widely used in food packaging as a fabric material with various applications (Dhaka et al. 2022). Polyethylene is also widely used in various products such as film packaging, caps and storage containers including bottles (Andrady & Neal 2009). PP is commonly used in various base materials for household applications (Alsabri et al. 2022) and was found in all shapes. Poly (ethylene:propylene:diene) is widely used to make automotive and electronic appliance parts and also in the construction industry (Athawale & Joshi 2016) and was mostly found as green fragments. Polyethyleneimines-PEI is used in thermosetting plastic material (Acebo et al. 2017) and was mostly found as white fragments, while polyester cotton (65:35) was found as green fiber. This mixture of polymers is generally used in the textile industry. Poly (bisphenol A-co-epichlorohydrin)-PBE is a thermosetting plastic used in epoxy resin (Jones et al. 2015) and was mostly found as blue fragments. 2,2,4,4-Tetramethyl-7-oxa-3,20-d is an additive in polymeric material with antiultraviolet properties (Lahimer et al. 2017) and was only found as blue films and fragments, while poly (acrylonitrile ethylene propylene styrene) or AES is generally used in automotive parts and was only found as yellow fragments.

MP sedimentation and riverine flux assessment

Sediments settled more during the dry season than the wet season, with average SRs of 2,454 and 2,047 g/m2/day, respectively. MSRs in the dry season were lower than during the wet season at 9,443 and 23,760 items/m2/day, respectively (Figure 8). Size ranges in MP sedimentation were mostly between 330 and 5,000 μm. Fibers were found in all seasons followed by fragments and films, while pellets and foams were found in small amounts. Blue MPs were dominant, while polymer composition mostly comprised PET, PP and PE, respectively (Figure 9). PET has a higher density than water and sinks; however, other factors impact sedimentation such as turbulence and current velocities in a riverine environment. Results indicated that the SR was not related to MP accumulation. MP sedimentation in the dry season was lower than during the wet season but MP accumulation in sediment in the dry season was higher than during the wet season. Current velocity is an important factor in determining the MSR. Current velocities in the wet season during sampling were lower than in the dry season and lower velocity of water caused an increase in MSR.
Figure 8

Seasonal SRs (g/m2/day) and MP accumulation (items/m2/day) in wet season (September 2021) and dry season (March 2022).

Figure 8

Seasonal SRs (g/m2/day) and MP accumulation (items/m2/day) in wet season (September 2021) and dry season (March 2022).

Close modal
Figure 9

MP composition in sediment traps: (a) size range, (b) shape, (c) color, and (d) polymer composition in wet season (September 2021) and dry season (March 2022). Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/wh.2023.013.

Figure 9

MP composition in sediment traps: (a) size range, (b) shape, (c) color, and (d) polymer composition in wet season (September 2021) and dry season (March 2022). Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/wh.2023.013.

Close modal

Our MSRs were higher than those recorded in Huruslahti Bay in Finland at only 88.8 items/m2/day (Saarni et al. 2017). However, polymer composition and shape were similar to PP, PE and PET with fiber and fragment shapes as the dominant groups.

MP riverine flux flowing in and out of each province ranged from 0.15 to 1.83 and 0.20 to 2.00 × 105 million items/day in September 2021 and March 2022, respectively (Figure 10). The highest MP flux input was found in Samut Prakan Province in September 2021 at 1.40 × 105 million items/day, while the highest MP settlement was found in Pathum Thani Province in September 2021 at 0.77 million items/day. Numbers of MPs flowing out to the estuary were 1.83 and 1.60 × 105 million items/day in September 2021 and March 2022, respectively. The MP input from terrestrial load from each province into the Chao Phraya River during the wet and dry seasons was highest in Samut Prakan Province at 1.60 × 105 million items/day and in Nonthaburi Province at 1.21 × 105 million items/day. MP riverine flux was affected by several factors including tidal cycle, current velocity, SR, and also terrestrial load from debris mismanagement in urban areas along the river. Our results showed that fiber shapes of MPs with polymer type as PET were mostly found during transfer into the river and transport into the sea, followed by PP. Both these types of polymers are widely used in the clothing and textile industries. De Falco et al. (2019) suggested that when fabrics and garments made of synthetic fibers with plastic polymers are torn during the washing process in households, they release large quantities of synthetic MP fibers into the environment through the sewerage system. Our results indicated that MP loads from each province and total MPs were discharged into the sea. The Thai Government should address the management of MP synthetic fibers to reduce the deterioration of the marine environment.
Figure 10

Seasonal MP riverine flux between sampling stations (×105 million items/day).

Figure 10

Seasonal MP riverine flux between sampling stations (×105 million items/day).

Close modal

Our main study limitation was the identification of MP polymer types by FTIR. In this study, 10% of the total MPs in water and sediment samples were analyzed, while all the MPs in sedimentation traps were analyzed. Categorizing MPs by shape and color using the hot needle test will help to identify MPs and resolve the weakness of the investigation on MP type verification.

MPs were present at all sampling stations. Average abundance in all provinces in water samples ranged from 0.54 ± 0.05 to 1.07 ± 0.28 items/L, while in sediment samples ranged from 183.84 ± 38.76 to 546.18 ± 86.84 items/kg dry weight throughout all seasons. Significant seasonal variations were found in water and sediment samples. Spatial distribution was not significantly different for MP abundance. MP size ranges in water samples were different from sediment samples. The size range of MPs in sediment was mostly between 330 and 5,000 μm, while sizes of MPs in water varied and shifted from small to large throughout the study period. Fiber MPs were abundant in both water and sediment samples, with fragment MPs significantly higher in sediment samples than in water samples. Blue MPs were mostly fibers and fragments. Polymer compositions were mostly PET, PP and PE whereas PET was only found in fiber shape. Some polymers were additives in MPs. 2,2,4,4-Tetramethyl-7-oxa-3,20-d is an additive in polymeric material for antiultraviolet properties. Spatial and temporal MP abundances along the Chao Phraya River were associated with hydrological factors such as current velocity and tidal fluctuation. SRs of MPs were not related to SRs of sediment samples. Significant differences between seasonal variations of MSRs were found. River current velocity is an important factor that determines the SR of MPs in riverine ecology. High water flow prevents MPs from settling and the SR will decrease. MP input from the terrestrial load into the riverine environment during the wet season and dry season was highest in Samut Prakan Province at 1.60 × 105 million items/day and Nonthaburi at 1.21 × 105 million items/day, respectively. Highest MP riverine flux discharged into the sea during the wet season and dry season was recorded in Samut Prakan Province at 1.83 × 105 million items/day and 1.60 × 105 million items/day, respectively. The composition of MPs from each province showed that synthetic MP fiber, especially the PET polymer type, was mostly discharged to the middle and lower sections of the Chao Phraya River. Our results indicated that fiber MPs emanated from the shredded cloth after washing in households from residential areas along the river. Large amounts of these pollutants enter the riverine ecosystem from sewerage waste into the Chao Phraya River and the Gulf of Thailand. Our findings will help to elucidate the types and abundance of MPs that flow into the Gulf of Thailand and can be used to set guidelines and measures for better MP and plastic debris management in Thailand in the future.

In future studies, SRs should be collected in different areas, with water volume data collected from various floodgates that transfer from each province into the Chao Phraya River. This will improve the assessment of the transport of MPs, accumulation, distribution and sedimentation processes in the environment.

This research and innovation activity was funded by the National Research Council of Thailand (NRCT). The authors would like to thank all members in the laboratory of the marine environment, Department of Marine Science, Faculty of Fisheries, Kasetsart University for their support during this research.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Acebo
C.
,
Ramis
X.
&
Serra
A.
2017
Improved epoxy thermosets by the use of poly(ethyleneimine) derivatives
.
Physical Sciences Reviews
2
(
8
),
20160128
.
https://doi.org/10.1515/psr-2016-0128
.
Akhbarizadeh
R.
,
Dobaradaran
S.
,
Schmidt
T. C.
,
Nabipour
I.
&
Spitz
J.
2020a
Worldwide bottled water occurrence of emerging contaminants: A review of the recent scientific literature
.
Journal of Hazardous Materials
392
,
122271
.
https://doi.org/https://doi.org/10.1016/j.jhazmat.2020.122271
.
Akhbarizadeh
R.
,
Dobaradaran
S.
,
Nabipour
I.
,
Tajbakhsh
S.
,
Darabi
A. H.
&
Spitz
J.
2020b
Abundance, composition, and potential intake of microplastics in canned fish
.
Marine Pollution Bulletin
160
,
111633
.
https://doi.org/https://doi.org/10.1016/j.marpolbul.2020.111633
.
Akhbarizadeh
R.
,
Dobaradaran
S.
,
Amouei Torkmahalleh
M.
,
Saeedi
R.
,
Aibaghi
R.
&
Faraji Ghasemi
F.
2021a
Suspended fine particulate matter (PM2.5), microplastics (MPs), and polycyclic aromatic hydrocarbons (PAHs) in air: Their possible relationships and health implications
.
Environmental Research
192
,
110339
.
https://doi.org/https://doi.org/10.1016/j.envres.2020.110339
.
Akhbarizadeh
R.
,
Dobaradaran
S.
,
Nabipour
I.
,
Tangestani
M.
,
Abedi
D.
,
Javanfekr
F.
,
Jeddi
F.
&
Zendehboodi
A.
2021b
Abandoned COVID-19 personal protective equipment along the Bushehr shores, the Persian Gulf: An emerging source of secondary microplastics in coastlines
.
Marine Pollution Bulletin
168
,
112386
.
https://doi.org/https://doi.org/10.1016/j.marpolbul.2021.112386
.
Alam
F. C.
,
Sembiring
E.
,
Muntalif
B. S.
&
Suendo
V.
2019
Microplastic distribution in surface water and sediment river around slum and industrial area (Case study: Ciwalengke River, Majalaya district, Indonesia)
.
Chemosphere.
224
,
637
645
.
doi: 10.1016/j.chemosphere.2019.02.188
.
Aliabad
M. K.
,
Nassiri
M.
&
Kor
K.
2019
Microplastics in the surface seawaters of Chabahar Bay, Gulf of Oman (Makran Coasts)
.
Marine Pollution Bulletin
143
,
125
133
.
doi: 10.1016/j.marpolbul.2019.04.037
.
Alsabri
A.
,
Tahir
F.
&
Al-Ghamdi
S. G.
2022
Environmental impacts of polypropylene (PP) production and prospects of its recycling in the GCC region
.
Materials Today Proceedings
56
,
2245
2251
.
doi: 10.1016/j.matpr.2021.11.574
.
Andrady
A. L.
&
Neal
M. A.
2009
Applications and societal benefits of plastics
.
Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences
364
(
1526
),
1977
1984
.
doi: 10.1098/rstb.2008.0304
.
Athawale
A. A.
,
Joshi
A. M.
,
2016
Electronic applications of ethylene propylene diene monomer rubber and its composites
. In:
Flexible and Stretchable Electronic Composites. Springer Series on Polymer and Composite Materials
(
Ponnamma
D.
,
Sadasivuni
K.
,
Wan
C.
,
Thomas
S.
&
Al-Ali AlMa'adeed
M.
, eds).
Springer
,
Cham
, pp
305
333
.
doi: 10.1007/978-3-319-23663-6_11
.
Barnes
D. K. A.
,
Galgani
F.
,
Thompson
R. C.
&
Barlaz
M.
2009
Accumulation and fragmentation of plastic debris in global environments
.
Philosophical Transactions of the Royal Society B
364
,
1985
1998
.
doi: 10.1098/rstb.2008.0205
.
Cabrejos-Cardeña
U.
,
De-la-Torre
G. E.
,
Dobaradaran
S.
&
Rangabhashiyam
S.
2023
An ecotoxicological perspective of microplastics released by face masks
.
Journal of Hazardous Materials
443
,
130273
.
https://doi.org/https://doi.org/10.1016/j.jhazmat.2022.130273
.
Chinfak
N.
,
Sompongchaiyakul
P.
,
Charoenpong
C.
,
Shi
H.
,
Yeemin
T.
&
Zhang
J.
2021
Abundance, composition, and fate of microplastics in water, sediment, and shellfish in The Tapi-Phumduang River System and Bandon Bay, Thailand
.
Science of the Total Environment
781
,
146700
.
doi: 10.1016/j.scitotenv.2021.146700
.
Cole
M.
,
Lin
P.
,
Halsband
C.
&
Galloway
T. S.
2011
Microplastics as contaminants in the marine environment
.
Marine Pollution Bulletin
62
(
12
),
2588
2597
.
doi:10.1016/j.marpolbul.2011.09.025
.
Cox
K. D.
,
Covernton
G. A.
,
Davies
H. L.
,
Dower
J. F.
,
Juanes
F.
&
Dudas
S. E.
2019
Human consumption of microplastics
.
Environmental Science & Technology
53
(
12
),
7068
7074
.
doi: 10.1021/acs.est.9b01517
.
De Falco
F.
,
Di Pace
E.
,
Cocca
M.
&
Avella
M.
2019
The contribution of washing processes of synthetic clothes to microplastic pollution
.
Scientific Reports
9
,
6633
.
https://doi.org/10.1038/s41598-019-43023-x
.
De-la-Torre
G. E.
,
Dioses-Salinas
D. C.
,
Dobaradaran
S.
,
Spitz
J.
,
Nabipour
I.
,
Keshtkar
M.
,
Akhbarizadeh
R.
,
Tangestani
M.
,
Abedi
D.
&
Javanfekr
F.
2022
Release of phthalate esters (PAEs) and microplastics (MPs) from face masks and gloves during the COVID-19 pandemic
.
Environmental Research
215
,
114337
.
https://doi.org/https://doi.org/10.1016/j.envres.2022.114337
.
De Witte
B.
,
Devriese
L.
,
Bekaert
K.
,
Hoffman
S.
,
Vandermeersch
G.
,
Cooreman
K.
&
Robbens &
J.
2014
Quality assessment of the blue mussel (Mytilus edulis): Comparison between commercial and wild types
.
Marine Pollution Bulletin
85
(
1
),
146
155
.
doi: 10.1016/j.marpolbul.2014.06.006
.
Dhaka
V.
,
Singh
S.
,
Anil
A. G.
,
Sunil Kumar Naik
T. S.
,
Garg
S.
,
Samuel
J.
,
Kumar
M.
,
Ramamurthy
P. C.
&
Singh
J.
2022
Occurrence, toxicity and remediation of polyethylene terephthalate plastics. A review
.
Environmental Chemistry Letters
20
,
1777
1800
.
doi: 10.1007/s10311-021-01384-8
.
Ding
L.
,
Fan Mao
R.
,
Guo
X.
,
Yang
X.
,
Zhang
Q.
&
Yang
C.
2019
Microplastics in surface waters and sediments of the Wei River, in the Northwest of China
.
Science of the Total Environment
667
,
427
434
.
doi: 10.1016/j.scitotenv.2019.02.332
.
Dobaradaran
S.
,
Schmidt
T. C.
,
Nabipour
I.
,
Khajeahmadi
N.
,
Tajbakhsh
S.
,
Saeedi
R.
,
Javad Mohammadi
M.
,
Keshtkar
M.
,
Khorsand
M.
&
Faraji Ghasemi
F.
2018
Characterization of plastic debris and association of metals with microplastics in coastline sediment along the Persian gulf
.
Waste Management
78
,
649
658
.
https://doi.org/https://doi.org/10.1016/j.wasman.2018.06.037
.
Dowarah
K.
&
Devipriya
S. P.
2019
Microplastic prevalence in the beaches of Puducherry, India and its correlation with fishing and tourism/Recreational activities
.
Marine Pollution Bulletin
148
,
123
133
.
doi: 10.1016/j.marpolbul.2019.07.066
.
Firdaus
M.
,
Trihadiningrum
Y.
&
Lestari
P.
2020
Microplastic pollution in the sediment of Jagir Estuary, Surabaya City, Indonesia
.
Marine Pollution Bulletin
150
,
110790
.
doi: 10.1016/j.marpolbul.2019.110790
.
Hajiouni
S.
,
Mohammadi
A.
,
Ramavandi
B.
,
Arfaeinia
H.
,
De-la-Torre
G. E.
,
Tekle-Röttering
A.
&
Dobaradaran
S.
2022
Occurrence of microplastics and phthalate esters in urban runoff: A focus on the Persian Gulf coastline
.
Science of The Total Environment
806
,
150559
.
https://doi.org/https://doi.org/10.1016/j.scitotenv.2021.150559
.
HII
2012
Data Analysis and Flood-Drought Models From 25 Watersheds Data Base: Chao Phraya River Watershed
.
150, Hydro-Informatics Institute (HII)
,
Bangkok
,
Thailand
.
Horiuchi
Y.
,
Matsuura
T.
,
Tebakari
T.
&
Wongsa
S.
2020
Meta-Analysis of Water Quality Characteristics in the Lower Chao Phraya River, Thailand
. In:
Proceedings of the 22nd IAHR APD Congress (Sapporo, 2020)
.
Hokkaido University
.
Horton
A. A.
,
Svendsen
C.
,
Horton
A. A.
,
Svendsen
C.
,
Williams
R. J.
,
Spurgeon
D. J.
&
Lahive
E.
2016
Large microplastic particles in sediments of tributaries of the River Thames, UK-Abundance, sources and methods for effective quantification
.
Marine Pollution Bulletin
114
(
1
),
218
226
.
doi: 10.1016/j.marpolbul.2016.09.004
.
Jambeck
J. R.
,
Geyer
R.
,
Wilcox
C.
,
Siegler
T. R.
,
Perryman
M.
,
Andrady
A.
&
Law
K. L.
2015
Plastic waste inputs from land into the ocean
.
Science
347
(
6223
),
768
771
.
doi: 10.1126/science.1260352
.
Jiwarungrueangkul
T.
,
Phaksopa
J.
,
Somphongchaiyakul
P.
&
Tipmanee
D.
2021
Seasonal microplastic variations in sediments from urban canal on the west coast of Thailand: A case study in Phuket Province
.
Marine Pollution Bulletin
168
.
doi: 10.1016/j.marpolbul.2021.112452
.
Jones
A. R.
,
Watkins
C. A.
,
White
S. R.
&
Sottos
N. R.
2015
Self-healing thermoplastic toughened epoxy
.
Polymer.
74
,
254
261
.
doi: 10.1016/j.polymer.2015.07.028
.
Kashfi
F. S.
,
Ramavandi
B.
,
Arfaeinia
H.
,
Mohammadi
A.
,
Saeedi
R.
,
De-la-Torre
G. E.
&
Dobaradaran
S.
2022
Occurrence and exposure assessment of microplastics in indoor dusts of buildings with different applications in Bushehr and Shiraz cities, Iran
.
Science of The Total Environment
829
,
154651
.
https://doi.org/https://doi.org/10.1016/j.scitotenv.2022.154651.
Kataoka
T.
,
Nihei
Y.
,
Kudou
K.
&
Hinata
H.
2019
Assessment of the sources and inflow processes of microplastics in the river environments of Japan
.
Environmental Pollution
244
,
958
965
.
doi: 10.1016/j.envpol.2018.10.111
.
Klein
S.
,
Worch
E.
&
Knepper
T. P.
2015
Occurrence and spatial distribution of microplastics in river shore sediments of the Rhine-main area in Germany
.
Environmental Science & Technology
49
(
10
),
6070
6076
.
doi: 10.1021/acs.est.5b00492
.
Kumar
R.
,
Sharma
P.
,
Verma
A.
,
Jha
P. K.
,
Singh
P.
,
Gupta
P. K.
,
Chandra
R.
&
Prasad
P. V. V.
2021
Effect of physical characteristics and hydrodynamic conditions on transport and deposition of microplastics in riverine ecosystem
.
Water.
13
(
19
),
2710
.
doi: 10.3390/w13192710
.
Kundu
M. N.
,
Komakech
H. C.
&
Lugomela
G.
2022
Analysis of macro- and microplastics in riverine, riverbanks, and irrigated farms in Arusha, Tanzania
.
Archives of Environment Contamination and Toxicology
82
,
142
157
.
doi: 10.1007/s00244-021-00897-1
.
Kwon
O. Y.
,
Kang
J.-H.
,
Hong
S. H.
&
Shim
W. J.
2020
Spatial distribution of microplastic in the surface waters along the coast of Korea
.
Marine Pollution Bulletin
155
,
110729
.
doi: 10.1016/j.marpolbul.2019.110729
.
Lahimer
M. C.
,
Ayed
N.
,
Horriche
J.
&
Belgaied
S.
2017
Characterization of plastic packaging additives: Food contact, stability and toxicity, Arab
.
Journal of Chemistry
10
,
S1938
S1954
.
doi: 10.1016/j.arabjc.2013.07.022
.
Lefebvre
C.
,
Saraux
C.
,
Heitz
O.
,
Nowaczyk
A.
&
Bonnet
D.
2019
Microplastics FTIR characterisation and distribution in the water column and digestive tracts of small pelagic fish in the gulf of lions
.
Marine Pollution Bulletin
142
,
510
519
.
doi: 10.1016/j.marpolbul.2019.03.025
.
Lin
L.
,
Zuo
L.
,
Peng
J.
,
Cai
L.
,
Fok
L.
,
Yan
Y.
,
Li
H.
&
Xu
X.
2018
Occurrence and distribution of microplastics in an urban liver: A case study in the pearl river along Guangzhou City, China
.
Science of the Total Environment
644
,
375
381
.
doi: 10.1016/j. scitotenv.2018.06.327
.
Lithner
D.
,
Larsson
Å.
&
Dave
G.
2011
Environmental and health hazard ranking and assessment of plastic polymers based on chemical composition
.
Science of the Total Environment
409
(
18
),
3309
3324
.
doi: 10.1016/j.scitotenv.2011.04.038
.
Miller
R. Z.
,
Watts
A. J. R.
,
Winslow
B. O.
,
Galloway
T. S.
&
Barrows
A. P. W.
2017
Mountains to the Sea: River study of plastic and non-plastic microfiber pollution in the northeast USA
.
Marine Pollution Bulletin
124
(
1
),
245
251
.
doi: 10.1016/j.marpolbul.2017.07.028
.
Mohammadi
A.
,
Malakootian
M.
,
Dobaradaran
S.
,
Hashemi
M.
&
Jaafarzadeh
N.
2022
Occurrence, seasonal distribution, and ecological risk assessment of microplastics and phthalate esters in leachates of a landfill site located near the marine environment: Bushehr port, Iran as a case
.
Science of The Total Environment
842
,
156838
.
https://doi.org/https://doi.org/10.1016/j.scitotenv.2022.156838
.
Nizzetto
L.
,
Bussi
G.
,
Futter
M. N.
,
Butterfield
D.
&
Whitehead
P. G.
2016
A theoretical assessment of microplastic transport in river catchments and their retention by soils and river sediments
.
Environmental Science: Processes & Impacts
18
,
1050
1059
.
doi: 10.1039/c6em00206d
.
Oo
P. Z.
,
Boontanon
S. K.
,
Boontanon
N.
,
Tanaka
S.
&
Fujii
S.
2021
Abundance and distribution of suspended microplastics in the surface water of chao phraya river estuary
.
Thai Environmental Engineering Journal
34
(
2
),
57
66
.
ISSN: 2673-0359
.
Panagopoulos
A.
2021
Water-energy nexus: Desalination technologies and renewable energy sources
.
Environmental Science and Pollution Research
28
(
17
),
21009
21022
.
https://doi.org/10.1007/s11356-021-13332-8
.
Panagopoulos
A.
2022
Brine management (saline water & wastewater effluents): Sustainable utilization and resource recovery strategy through Minimal and Zero Liquid Discharge (MLD & ZLD) desalination systems
.
Chemical Engineering and Processing – Process Intensification
176
,
108944
.
https://doi.org/https://doi.org/10.1016/j.cep.2022.108944
.
Panagopoulos
A.
&
Giannika
V.
2022
Decarbonized and circular brine management/valorization for water & valuable resource recovery via minimal/zero liquid discharge (MLD/ZLD) strategies
.
Journal of Environmental Management
324
,
116239
.
https://doi.org/https://doi.org/10.1016/j.jenvman.2022.116239
.
Rao
Z.
,
Niu
S.
,
Zhan
N.
,
Wang
X.
&
Song
X.
2019
Microplastics in sediments of River Yongfeng from Maanshan City, Anhui Province, China
.
Bulletin of Environment Contamination and Toxicology
104
,
166
172
.
doi: 10.1007/s00128-019-02771-2
.
B.
,
Pais
J.
,
Antunes
J.
,
Pequeno
J.
,
Pires
A.
&
Sobral
P.
2022
Seasonal abundance and distribution patterns of microplastics in the Lis River, Portugal
.
Sustainability
14
(
4
),
2255
.
doi: 10.3390/su14042255
.
Šaravanja
A.
,
Pušić
T.
&
Dekanić
T.
2022
Microplastics in wastewater by washing polyester fabrics. Materials (Basel, Switzerland)
.
PMC.
15
(
7
),
2683
.
doi: 10.3390/ma15072683
.
Sarijan
S.
,
Azman
S.
,
Said
M. I. M.
,
Andu
Y.
&
Zon
N. F.
2018
Microplastics in sediment from Skudai and Tebrau River, Malaysia: A preliminary study
.
MATEC Web Conf.
250
,
06012
.
doi: 10.1051/matecconf/201825006012
.
Su
L.
,
Cai
H.
,
Kolandhasamy
P.
,
Wu
C.
,
Rochman
C. M.
&
Shi
H.
2018
Using the Asian clam as an indicator of microplastic pollution in freshwater ecosystems
.
Environmental Pollution
234
,
347
355
.
doi: 10.1016/j.envpol.2017.11.075
.
Sukhsangchan
R.
,
Keawsang
R.
,
Worachananant
S.
,
Thamrongnawasawat
T.
&
Phaksopa
J.
2020
Suspended microplastics during a tidal cycle in sea-surface waters around Chao Phraya River Mouth, Thailand
.
ScienceAsia
46
(
6
),
724
733
.
doi: 10.2306/scienceasia1513-1874.2020.091
.
Ta
A. T.
,
Babel
S.
&
Haarstrick
A.
2020
Microplastics contamination in a high population density area of the Chao Phraya River, Bangkok
.
Journal of Engineering and Technological Sciences
52
(
4
),
534
545
.
doi: 10.5614/j.eng.technol.sci.2020.52.4.6
.
Takdastan
A.
,
Niari
M. H.
,
Babaei
A.
,
Dobaradaran
S.
,
Jorfi
S.
&
Ahmadi
M.
2021
Occurrence and distribution of microplastic particles and the concentration of Di 2-ethyl hexyl phthalate (DEHP) in microplastics and wastewater in the wastewater treatment plant
.
Journal of Environmental Management
280
,
111851
.
https://doi.org/https://doi.org/10.1016/j.jenvman.2020.111851
.
Talbot
R.
&
Chang
H.
2021
Microplastics in freshwater: A global review of factors affecting spatial and temporal variations
.
Environmental Pollution
292
,
118393
.
doi: 10.1016/j.envpol.2021.118393
.
Wang
W.
,
Ndungu
A. W.
,
Li
Z.
&
Wang
J.
2017
Microplastics pollution in inland freshwaters of China: A case study in urban surface waters of Wuhan, China
.
Science of the Total Environment
575
,
1369
1374
.
doi: 10.1016/j.scitotenv.2016.09.213
.
Zhao
W.
,
Huang
W.
,
Yin
M.
,
Huang
P.
,
Ding
Y.
,
Ni
X.
,
Xia
H.
,
Liu
H.
,
Wang
G.
,
Zheng
H.
&
Cai
M.
2020
Tributary inflows enhance the microplastic load in the estuary: A case from the Qiantang River
.
Marine Pollution Bulletin
156
,
111152
.
doi: 10.1016/j.marpolbul.2020.111152
.
Zhao
X.
,
Wang
J.
,
Leung
K. M. Y.
&
Wu
F.
2022
Color: An important but overlooked factor for plastic photoaging and microplastic formation
.
Environmental Science & Technology
56
,
9161
9163
.
doi: 10.1021/acs.est.2c02402
.
Zheng
Y.
,
Li
J.
,
Cao
W.
,
Liu
X.
,
Jiang
F.
,
Ding
J.
,
Yin
X.
&
Sun
C.
2019
Distribution characteristics of microplastics in the seawater and sediment: A case study in Jiaozhou Bay, China
.
Science of the Total Environment
674
,
27
35
.
doi: 10.1016/j.scitotenv.2019.04.008
.
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