Projected plastic waste loss scenarios between 2000 and 2030 into the largest freshwater-lake system in Southeast Asia

Freshwater plastic pollution is critically understudied in Southeast Asia (SEA). Recent modelling studies indicate that SEA rivers contribute vast quantities of plastic to the world’s oceans, however, these fail to capture the complexity of individual systems. We determine the volume of mismanaged plastic waste (MPW) entering Tonle Sap Basin (TSB)—the largest freshwater lake–river system in SEA, between 2000 and 2030. Using economic, population and waste data at provincial and national levels, coupled with high resolution population and flood datasets, we estimate that ca. 221,700 tons of plastic entered between 2000 and 2020, and 282,300 ± 8700 tons will enter between 2021 and 2030. We demonstrate that policy interventions can reduce MPW up to 76% between 2021 and 2030. The most-stringent scenario would prevent 99% of annual MPW losses by 2030, despite substantially higher waste volumes and population. If successfully implemented, Cambodia will prevent significant losses in natural capital, material value and degradation in TSB worth at least US$4.8 billion, with additional benefits for the Mekong River and South China Sea.

www.nature.com/scientificreports/ We target TSB as it is the largest freshwater lake-river system in SEA and of global significance due to the unique flood-pulse annual cycle, cultural and historical heritage 20 , and TSB's connection with the MR, South China Sea and world's oceans. In addition, TSB is a key site to directly investigate the impacts of MPW from a large population and a rapidly growing, lower-middle income country. Finally, we examine how targeted policy interventions could reduce MPW inputs into TSB and the growing global threat of MPW.

Tonle Sap Basin
TSB, situated within the 800,000 km 2 MR Basin in SEA ( Fig. 1) 21 , has a distinctive wet and dry season, causing water levels and hydrological inputs to the lake to fluctuate on an annual basis 22 . Every year, the southwest monsoon creates a flood-pulse upstream in the MR Basin. The pulse of water is subsequently propagated through the main stem of the MR towards TSL via the TSR at the confluence of rivers in Phnom Penh. The rapid increase in water level in the MR causes the TSR to reverse its flow towards TSL 23 . TSB is the world's fifth largest inland fishery and provides 50 to 80% of Cambodia's animal protein 24 . Communities near and on the lake rely on the lake water for household purposes including drinking, cooking and cleaning with little to no treatment beforehand 25 . This poses a substantial risk for microplastic and associated contaminants to enter the local population. Plastic has many pathways into TSB, via the seasonal and dynamic hydrological changes, expansion of surface area from flooding, tributaries, wind and direct disposal into TSB. As the hydrological discharges leaving TSL via the TSR are significantly higher than those entering TSL 22 , this may suggest that TSB is a source of plastic for the MR.

Results
Mismanaged Plastic Waste losses projection from 2000 to 2030. We estimate that ca. 221,700 tons of plastic entered TSB between 2000 and 2020. In 2000 we estimate that 1,750 tons year −1 entered TSB, which rapidly increased between 19 and 41% per year until 2006 (Fig. 2). By 2010, we estimate that 9,411 tons year −1 entered TSB. The annual increase to 2020 is slower but still amounts to 21,062 tons year −1 entering TSB, representing a 124% increase from 2010. By 2030, under a Business As Usual (BAU) Scenario, we estimate that 34,392 tons year −1 will enter TSB equating to an additional ca. 282,300 ± 8700 tons between 2021 and 2030 (Fig. 2).
The estimated Annual Average Mismanaged Plastic Waste Generation Rate (MPWGR Avg ) increased from 1.8 kg (2000) to 8.2 kg (2010) and 15.7 kg (2020), and will increase to 22.6 kg (2030). Growth was pronounced in the 2000s, following the high annual growth rates in population and waste generation at the start of the decade (Fig. 3). In the 2020s, although the growth rate is expected to be much lower, in absolute terms, the weight

Discussion
The annual MPW losses into TSB from 2000 to 2018 follows the trend in Cambodian economic growth and development as the nation emerged from civil war, inclusion into the WTO and associated influx of foreign investment and goods to the present. Between 2000 and 2003, we predict the annual MPW input into TSB to increase 128% from 1750 to almost 4000 tons year −1 . In 2004, Cambodia joined the WTO, which was a primary catalyst for growth, with gross domestic product (GDP) per capita increasing annually by ca. 16% between 2004 and 2008. Besides a minor contraction in 2009 coinciding with the global financial crisis, the GDP per capita  www.nature.com/scientificreports/  www.nature.com/scientificreports/ has since increased by 6 to 12% annually 26 . The waste generation rates in this study are strongly correlated with GDP and population growth, which mirror global trends 27 . Throughout the 2010s, the predicted MPW increases continuously except for 2015 (Fig. 3). In 2015, a significant slowing in total MPW growth was calculated based on an irregularity in the waste data from Phnom Penh, which increased by 16.2% between 2013 and 2014, and 0.1% between 2014 and 2015 28 . The cause of this irregularity is unclear but may be related to Phnom Penh's municipal solid waste management being transferred to local government authorities in 2015, which faced initial difficulties 28 . The BAU Scenario predicts that waste continues to grow throughout the 2020s but gradually declines from a 6% annual increase in 2020 to 4% annual increase by 2030 (BAU, Fig. 2).
From 2021 to 2030, five scenarios are presented to explore how targeted polices could reduce MPW inputs into TSB (Fig. 2). This decade is crucial as by 2029, the amount of MPW entering TSB since 2021, will have exceeded the total input between 2000 and 2020. Decades under a BAU Scenario, would rapidly exacerbate the situation and pose a grim outlook for the future, with potentially more plastics in TSB than fish (by weight) as is predicted for the world's oceans. For the world's oceans, this crossover point is expected at ca. 2050 29 . Although a direct comparison cannot be made as TSB is an open-system and the total mass of fish has not been estimated, TSB produces approximately 500,000 tons of fish annually 24 . Whilst the total fish catch has remained stable over the past decade, this appears to be the ecological threshold for harvest levels, due to continuous evidence of fishery degradation and possible collapse for some species 30 . Under a BAU Scenario a cumulative 500,000 tons of plastic will have been lost into TSB by 2030.
In the scenarios presented, the biggest single decreases of MPW are observed with plastic bag reductions as plastic bags represent the largest plastic type (Table 1), based on commercial waste data from Phnom Penh 31 . However, due to ongoing population growth, plastic usage will inevitably increase. Scenarios (i) and (ii), which primarily target MPW from plastic bags, cuts cumulative MPW inputs into TSB by 23% and 54%, respectively (Fig. 4). The latter is significantly more aggressive and leads to major reductions in MPW, but ultimately, the population trajectory will subsequently increase MPW and highlights the need for more comprehensive measures targeting other plastics. Major reforms in Cambodia would be required to encourage the population to reduce plastic bag usage by 90% compared to current levels. Presently, Cambodia has a plastic bag charge, implemented in April 2018. The Royal Cambodian Government issued Sub-Decree 168 declaring the required thickness of plastic bags used in the country, and a fee of 400 Riel (US$0.10) for consumers, to be applied to each plastic bag used in all supermarkets and commercial centres. However, consumers are generally unaware of the country's existing regulation on plastic bags, and there is a low rate of compliance from vendors or enforcement 32 . In addition, plastic bags in Cambodia have an array of applications beyond their initial usage in retail situations, including rain covers, storage-space, plant pots, waste bags and electrical insulation 33 . Therefore, a significant shift in consumer mindset would be required.
Scenario (iii) builds upon Scenario (ii) but adds annual incremental recycling improvements that specifically target bottles and HDPE, thus reducing these potential sources of MPW (Table 1). These 20% annual improvements make a noticeable difference to plastic waste (Fig. 4). Following the plastic bag policy implementation in 2022, bags immediately reduce their relative abundance from 69 to 36% of the total, whilst mixed recyclables increase from 27 to 55%. This remains stable until 2025 and the recycling improvement implementation (Fig. 4). Such incremental changes in recycling rates seen in this scenario allow policies, infrastructure, and consumer behaviour to adapt and improve over time, bringing compounding improvements in future years. Whilst the policies to reduce plastic bags are effective at reducing the most abundant plastics, this source of plastic increases towards 2030 as the population grows. This highlights the issue of increasing population and the associated resource demands which are required. Scenario (iii) cuts cumulative MPW inputs into TSB by 63%.
Scenario (iv) results in the second highest MPW input into TSB (after BAU), with just a 17% reduction between 2021 and 2030 (Fig. 4). Scenario (iv) appears to be one of the least successful scenarios, however, the cumulative improvements to TWC would result in some of the fastest and most pronounced changes in the 2030s, if improvements were sustained. Under the BAU Scenario, the TWC averages 69%, which is akin to the average estimated collection rate in East Asia and Pacific (71%). By 2030, the average collection rate under Scenario (iv) sits at 78%, which would exceed the average estimate for urban areas in East Asia and Pacific 27 . This scenario shows that increasing collection coverage is a crucial tool in reducing MPW in TSB. However, in the short term, increasing collection coverage cannot bring about dramatic changes, unless more ambitious and immediate annual targets are met. One advantage to this strategy is that the only requirement is a compliance to waste collection services and does not require major changes to consumer habits. www.nature.com/scientificreports/ Scenario (v) presents the most stringent policy implementation that targets all major sources of MPW through immediate reductions and incremental improvements to recycling, whilst setting a universal standard for waste collection coverage that is incrementally improved. Scenario (v) would be the most challenging to implement, navigating the benefits that plastic provide in public hygiene, productivity, and economics, whilst not further endangering the health of TSB and the surrounding environment. However, Scenario (v) would cause a remarkable improvement to annual MPW losses into TSB. By 2030, the amount of MPW would have a downwards trajectory, with the annual input reaching parity to the annual input in 2000 (Fig. 2). Scenario (v) cuts cumulative MPW inputs into TSB by 76%. It is unlikely that loss of plastic waste could ever be fully eliminated based on the steps outlined in these scenarios. Although, if losses could be reduced to around 5% each year, this would be a remarkable result and would reach parity with Europe and the US 29 . Based on a BAU Scenario, the total amount of plastic waste generated within the study area, assuming plastic represents 15.5% of total waste, would be approximately 243,000 tons in 2030. This would mean that both Scenario (iii) and (v) would be well within this 5% threshold. By 2030, Scenario (v) would prevent more than 99% of the plastic waste generated annually from entering TSB. Nevertheless, over 65,000 tons of MPW would still enter TSB between 2021 and 2030 under Scenario (v). This amount cannot be avoided unless policy changes were implemented more rapidly or to higher standard of regulation. www.nature.com/scientificreports/ As MPW is typically not determined in most waste studies, we compare the WGR changes in TSB with those from other regions. World Bank per capita waste generation rate estimates for East Asia and the Pacific region published in 2012 34 , ranged from 0.4 to 4.3 kg capita −1 day −1 , which are considerably higher than our estimated value between 0.5 and 0.6 kg capita −1 day −1 for TSB in 2012. Subsequent World Bank estimates published in 2018 27 , decrease their Cambodian estimated WGR values to 0.2 kg capita −1 day −1 in 2016, increasing to 0.25 kg capita −1 day −1 in 2030. Conversely, recent United Nations Environment Programme (UNEP) estimates suggest an average between 1.1 -1.2 kg capita −1 day −1 for East Asia and Pacific from the mid-2020s 35 . In our study, we predict values of 0.77 kg capita −1 day −1 (2016), increasing to 0.94 kg capita −1 day −1 (2020) and 1.36 kg capita −1 day −1 (2030). Our estimates are comparable to the UNEP 35 analyses but differ substantially from the World Bank's estimates 27,34 . This disparity indicates the fragmented, inconsistent, and contradictory waste estimates in the public domain over the past decades, making such a comparison between studies problematic.
Our approach is analogous to the framework developed by Jambeck et al. 36 (J15 hereon), but several important differences exist. In both studies, proportional increases in MPW have been calculated across relevant timeframes. J15 used population projections for 2015, 2020 and 2025, and calculated annual growth in plastic percentage of the waste stream, whilst keeping the waste generation rates per capita and inadequately managed waste percentages constant. Plastic was calculated through a conservative linear increase of 0.19% per year (SE = 0.06%). We adopted a different approach to calculate MPW focusing on a variable waste generation rate per capita by province, with constant values for plastic percentage and TWC. The fixed values for plastic percentage (between Low, Middle, and High) is more appropriate for TSB, given the vastly different spatial scales of the two studies and how the plastic percentage in the waste stream varies significantly geographically from reported figures in Cambodia 37 . We use a higher plastic percentage in the waste stream compared to J15. When comparing the MPW generated, J15 calculate a value of 21.3 kg capita −1 year −1 for the coastal zone of Cambodia in 2010, whereas we use a value of 8.2 kg capita −1 year −1 .
We use a tiered approach in determining conversion rates, emphasizing the decreasing likelihood of plastic entering the aquatic system as distance increases from the annual flood extent, instead of providing a fixed high, medium, and low rate for the entire study area. A criticism of both studies is that the quantitative spatial/ distance relationship for conversion rates has not yet been universally established. We have taken a more conservative approach by extending the sphere of influence an additional 5 km from the flood boundary compared to the 50 km used by J15. The boundary delineating the flooded area in our study does not typically exceed the permanent lake by > 20 km. Using J15′s conversion rates would yield between 5800 (15%) and 15,500 (40%) tons of plastic in TSB in 2018 (within 5 km of the flood boundary). To obtain the value of 18,655 tons per year in 2018 (middle-value) in our study, this would equal a conversion rate of 48%, meaning half of MPW produced annually enters TSB.
Two recent global-scale catchment-to-ocean models both used MPW as a key component to estimate macroto micro-plastic fluxes in rivers 18,19 . Schmidt et al. 19 (S17 hereon) estimate that the MR transports between 6300 and 37,000 tons of plastic to the ocean annually, of which, only 3300 tons are macroplastics. Similarly, S17 estimate that ca. 1,931,000 tons of MPW are generated annually in the MR catchment, meaning that less than 0.2% of the total MPW produced in the MR catchment enters the global oceans. Lebreton et al. 18 (L17 hereon) estimate that the MR transports 22,800 tons of plastic annually, of which between 3900 and 7500 tons are estimated to be macroplastics. Our 2018 estimate of 18,655 tons (middle-value) entering only TSB suggests that both S17′s and L17′s estimates are too low. Due to the substantial amounts of MPW being generated in the Lower Mekong catchment, large flood system and lack of any anthropogenic or natural barriers to the South China Sea (SCS), the estimates from L17 and S17 should be treated with scepticism. However, neither study intended to scrutinise and detail individual watersheds.
The current loss of plastic into TSB poses several local and regional challenges. Firstly, the economic problem that plastic presents to Cambodia. To clean-up a large and complex system such as TSB would be non-viable, requiring immense resources which Cambodia would struggle to complete without international financial and technical assistance 12 . Under this assumption, the ca. 221,700 tons of plastic which has already entered TSB will remain, or, will be gradually removed through the annual flooding and emptying of the lake. In the coming years, however, a lucrative opportunity could be cultivated by preventing plastic from entering TSB. Using the prices of recycled plastic in the EU as a benchmark, which fluctuated between 230 and 370 €/ton from 2004 to 2018 38 , would mean Cambodia was currently losing €4,300,000 to €6,900,000 per year into TSB. Under a BAU Scenario of 282,300 ± 8700 tons of plastic lost between 2021 and 2030, this would equate to €65,000,000 to €104,000,000 worth of plastic. Nevertheless, plastic pollution is not just a loss of material value. Recently, the true cost of marine plastic was placed at between US$3,300 and US$33,000 per ton of plastic every year, with quantifiable costs to fisheries, aquaculture, recreation, heritage and health of ecosystems 39 . While this cost was placed on marine plastic, many similar interactions will still be occurring in a large freshwater system like TSB, including entanglements, ingestion, and transport of pollutants, affecting all trophic levels. Excluding the loss in material value, the cumulative costs in natural capital between 2021 and 2030 would be US$4.8 billion using the lowerend estimate. Owing to the transboundary nature of TSB and the MR, the financial liability of plastics entering Vietnam, and ultimately the SCS, may need to be considered in the future.
Unsurprisingly, plastic is not the single pressure that TSB is currently facing. Like many other large lake systems around the world, TSL is under severe threat from several compounding factors 12,13,40 . Aside from climate change and the challenges of dam building on the MR, issues such as population growth, increasing land-use intensity, and the general mismanagement of terrestrial and aquatic resources need to be addressed immediately 20,41 . Recent deforestation rates in the unique flooded-forest ecosystem around TSL are thought to be some of the highest, globally 42,43 . A burgeoning population has increased pollution from various sources including household sewage and agricultural run-off, which includes sediment, pesticides, and fertilisers 20,44 . Years of overfishing has led to a decline in slower-growing, higher-trophic species, whilst smaller-bodied, faster-growing, www.nature.com/scientificreports/ low-trophic fish have increased 30,42 . Plastic pollution is a relatively novel pollutant to TSB, yet it is aiding the degradation of this aquatic system with other recent and longer-term stressors. In singular terms each threat may be managed accordingly, although together, they show disturbing evidence of collective harm, acceleration of pollution and a legacy of ecological and economic costs for future generations 12 .  (Fig. 1). This was due to omitting major TSL tributaries such as the Stung Sen in the boundary, which expand significantly during the wet season 48 Fig. 1). To create the flood boundary, we include all overland-flow north of the MR as this mass of water is typically included in water balance assessments of TSL 22 .

Methods
The provincial waste production data, which includes the waste generation rate per capita (0.03 to 1.38 kg day −1 ), and the amount of waste collected (%) for 2015 at the provincial level, comes from a recent government report 49 . The average waste generation rate was independently validated by Creaser et al. 50 who estimated that Cambodian rural areas produced 0.4 to 1 kg day −1 per capita. Data for Kampong Cham and the Floating communities was not available, therefore data from Phenom Penh and Pursat Province substituted, respectively. For the Floating communities we used a Total Waste Collection (TWC; %) percentage of 0. We assume that collected waste is not mismanaged and does not enter TSB.
We examine a range of values for the percentage of plastic in the waste stream, a high-value of 19.32% based on the commercial waste generation in Phnom Penh 51 , a middle-value of 15.5% based on municipal solid waste management data in Phnom Penh 28 , and a low value of 10% from a Cambodia-wide estimate of municipal solid waste management 34 . We assume that the middle-value to be the likely average for TSB, based on the predominantly urban/semi-urban population.
We obtained an estimate of Cambodia's population and population density from Facebook Connectivity Lab (FCL) and Center for International Earth Science Information Network Columbia University (CIESIN) 52 . The dataset estimates human population distribution at a resolution of 1 arc-second (approximately 30 m), providing highly accurate estimates of population and density in 2018. Provincial boundaries were obtained from United Nations Office for the Coordination of Humanitarian Affairs Regional Office Asia and Pacific 53 . The provincial boundaries exclude the lake, where many floating communities exist. We added 7236 people living in floating communities based on the FCL and CIESIN data 52 . Using ArcGIS Pro, the population data in GeoTIFF format was firstly converted to points, then clipped to the outline of the flooded area. Subsequently, the population of the flooded area was clipped to provincial level, to establish the total population for each province in the flooded area. Additional buffer zones of 1, 2, 3 and 5 km were created around the total extent of the flooded area, and the total population for these zones was established. The Summary Statistics function in ArcGIS was used to extract the population of each province and within each buffer zone.

Numerical model creation.
Using the definition by J15, MPW is defined as plastic material that is either littered or inadequately disposed. In this study we assume no littering as there is a blurred line between littering and disposing of domestic solid waste in Cambodia. Instead, we base the amount of MPW on the TWC percentage at provincial level (Table 2). We have estimated the amount of MPW that is produced on a per-capita basis in each province and multiplied this by the amount of people living both within the province and in the annual flood extent ( Table 2).
The annual Mismanaged Plastic Waste Generation rate for each province ( Annual MPWGR Prov ) in kg capita −1 is calculated using: where WGR is the Waste Generation Rate per capita in the province, P is Plastic (%) in waste stream (constant values between middle, high, and low) and TWC is the Total Waste Collected in each province.
From Eq. (1), we then calculate the total annual Mismanaged Plastic Waste ( Annual MPW Tot ) in kg produced in each province: where Pop Prov is the provincial population within the annual flood extent.
The average annual Mismanaged Plastic Waste Generation Rate ( Annual MPWGR Avg ) in kg capita −1 for the total flooded area in all provinces, is calculated using the following equation: www.nature.com/scientificreports/ In this study we have used conversion rates to estimate the amount of MPW which successfully enters TSB at the maximum flood extent (Fig. 1). A tiered approach is taken, with the sphere of influence extending an additional 5 km outwards from the annual flood extent boundary. Using buffers of 1, 2, 3 and 5 km, the total unique population was calculated for each individual buffer (Table 3). Adapting Eq. (2), the total MPW was determined for each buffer, using the total population of the buffer and the Annual MPWGR Avg . The total MPW for each buffer was then multiplied with the conversion rate for that buffer. Here, we have assumed that the likelihood of MPW being captured by floodwaters decreases in distance away from the lake. Beyond 5 km, we have assumed that MPW will not be captured. We assumed that MPW within the flooded area would achieve a 100% conversion rate. The conversion rates for 1 (60%), 2 (40%), 3 (25%) and 5 (15%) km from the lake were based on the figures used in J15. Unlike J15, we extend the sphere of influence 5 km from the shoreline around TSB and have a tiered conversion rate that more accurately depicts the local physiography and demography.

Population and (plastic) waste projections.
To provide a cumulative estimate of mismanaged plastic waste entering TSB and how policy interventions could subsequently reduce these estimates, a 30-year numerical model was created for the area within the annual flood extent. From 2018, the population and MPW were projected forwards to 2030 and backwards to 2000. Anecdotally, plastic products have probably been in Cambodia since ca. 1994 CE following the end to hostilities with the Khmer Rouge 32 . However, the starting year of 2000 was chosen as Cambodia joined the Association of Southeast Asian Nations (ASEAN) in 1999, which marked the major transition of the country opening its borders to foreign goods and investment. We assume that this is the start of when plastic goods became widespread in the country, and particularly after 2004, when Cambodia joined the World Trade Organization (WTO).
We determined provincial and buffer zone populations to 2030 using national population growth trends between 2000 to 2018 54 and assumed a linear, annual increase to 2030 (Fig. 3).    www.nature.com/scientificreports/ Long-term, accurate and publicly available waste data in Cambodia is sparse, except for several major cities. Here, data were obtained for the total annual municipal solid waste collected in Phnom Penh and disposed of at a municipal dump site, between 2004 and 2015 in tons year −128 . The data, which showed sustained annual growth in total waste, were assumed to be representative of the population living across all provinces in the annual flood extent. The actual and calculated annual percentage waste increase were used to project forwards and backwards the WGR (Eq. 1). The total waste collected and disposed of in Phnom Penh in 2004 CE was 228,000 tons year −1 , rising to 618,000 tons year −1 in 2015, representing an increase of 171%, or, approximately 14% per year 28 . Spoann et al. 28 estimated that ca. 20% of the total waste generated in Phenom Penh was not collected, which is similar to the figure of 83% TWC used in this study for Phnom Penh (Table 2). Total waste in Phnom Penh was linearly projected forwards from 2016 to 2030 and backwards from 2003 to 2000 (R 2 = 0.97; Fig. 3). With the projected total annual amount of municipal solid waste collected in Phnom Penh, we then calculated the percentage annual growth rate for each year.
The plastic waste for each province and year were projected forwards and backwards from 2018, calculating the Annual MPWGR Prov with P and TWC constant from 2000 to 2030 (Eq. 1), the Annual MPW Tot (Eq. 2) and the Annual MPWGR Avg across the annual flood extent (Eq. 3). The Annual MPWGR Avg for all provinces was multiplied by the total population in each buffer zone (0, 1, 2, 3 and 5 km) for each year, and the respective conversion rates (100%, 60%, 40%, 25% and 15%) for each buffer zone was then applied. The summed totals equate to the total MPW estimated to enter TSB for each year from 2000 to 2030.
Targeted policy scenarios. The scenarios presented in this study explore what impact policies would have on projected MPW, from 2021 to 2030. Two broad approaches were explored, the first was a reduction in certain plastic types becoming waste. The second was improvement in collection coverage across the annual flood extent. For the former approach, data from commercial solid waste generation in Phnom Penh 31 , which detailed the weight of plastic generated by type, was applied to the total MPW values projected for each year (from 2021 to 2030), province and buffer zone (Table 1). From this, policy improvements were proposed which included plastic bag reductions, a ban on foam plastic and increased recycling rates (which was applied to PET Bottle and HDPE plastic types only, i.e. mixed recyclables). For the second approach, incremental annual improvements to TWC (%) was applied to each province.
Purposely, we do not propose how these scenarios could be implemented but assume a positive outcome of policies to reduce certain plastic types in the waste stream or improve waste collection. Successful policies typically use market-based instruments (MBIs) to reach a desired outcome. MBIs may include taxes, charges, fees, fines, and penalties, under the premise that either the polluter and/or user pays, and provides a full cost for recovery of the item 55 . The scenarios have been developed to be representative of model case-studies in reducing plastic waste around the world. Such successes include; reductions of plastic bag usage between 50 and 90% within a year [56][57][58] , plastic bottle recycling rates which have achieved rates of > 90% 29,59 and a pilot study in Cambodia, extending waste coverage to a rural community which achieved a swift compliance rate of > 90% 37 . The scenarios we model are: (i) Plastic bag reduction of 50% from 2025* (ii) Plastic bag reduction of 75% between 2022*/90% from 2026* (iii) Plastic bag reduction of 75% between 2022 to 2025*/90% from 2026*/Recycling increase (20% pa from 2025) (iv) From 2022 a + 1% annual increase in waste collection to 2030 (v) Plastic bag reduction of 75% from 2022*/90% from 2026*/Recycling increase (20% pa from 2022)/Foam plastic eliminated from 2025/From 2025 at least 80% collection coverage (+ 1% annual improvement thereafter) and 50% coverage in floating communities *reduction calculated from pre-intervention period. www.nature.com/scientificreports/