Adding Raju paper

src/data/papers-citing-parcels.ts

@@ -2547,6 +2547,16 @@ export const papersCitingParcels: Paper[] = [
     abstract:
       'Coastal lagoons are shallow water bodies connected through narrow inlets, and their varying hydrographic conditions lead to distinct ecological characteristics providing important ecosystem services. Sharma is a restricted coastal lagoon (150 km2) surrounded by pristine coral reefs in the northern Red Sea (NRS), and it holds significant value as it is part of Saudi Arabias NEOM ongoing gigaproject. Previous research revealed a remarkable anomalous phytoplankton seasonality within the lagoon compared to the rest of the NRS waters, with the lagoon exhibiting a late summer peak, opposite to the winter/spring peak in open waters. Here we aim to identify the physical mechanisms driving this phytoplankton phenology paradox and support informed decision-making for the lagoon’s future. To investigate the driving mechanism of phytoplankton phenology inside the lagoon, we utilised regionally-tuned satellite chlorophyll-a data (Sentinel-3 OLCI), in situ cruise measurements, and outputs from a high-resolution numerical model (Delft3D). We reveal several hydrodynamic differences between winter and summer that collectively alter stratification strength and nutrient availability within the lagoon due to its enclosed nature. Tidal oscillations modulate lagoon exchange, with seasonal density differences altering stratification and mixing. In summer, this density difference diminishes, and flood tides can induce mixing, especially during the day. Additionally, diurnal heat fluxes, particularly the summer nighttime heat loss from evaporation, enhance vertical mixing and ultimately nutrient availability. Following our findings, we provide recommendations to the NEOM project stakeholders targeting to sustain Sharmas ecosystem services by maintaining this natural phytoplankton phenology paradox.',
   },
+  {
+    title:
+      'Distribution and climatological trajectories of plastic debris released from the major rivers along the east coast of India using the Lagrangian particle tracking model',
+    published_info: 'Environmental Monitoring and Assessment, 197, 1193',
+    authors:
+      'Raju, MP, V Suneel, S Veerasingam, P Suneetha, SSV Siva RamaKrishna (2025)',
+    doi: 'https://doi.org/10.1007/s10661-025-14670-7',
+    abstract:
+      'Marine plastic pollution predominantly originates from rivers, yet the extent of its return to shorelines remains uncertain. This study employs a Lagrangian particle tracking model to simulate the trajectories of plastic debris discharged from the Ganges, Brahmaputra, Godavari, and Krishna rivers along India’s east coast. Seasonal simulations were conducted for four periods pNEM (January–February), PreM (March–May), SWM (June–September), and NEM (October–December) using windage factors of 1%, 3%, and 5% to represent various plastic particle types. Results indicate that the highest deposition of riverine plastic occurs along the east coast of India during NEM (28.2–30%), highlighting its vulnerability to plastic accumulation. Increased windage led to greater deposition, underscoring the role of wind-driven transport. Krishna and Godavari rivers exhibited peak deposition (46% and 42%) during PreM, while the Ganges contributed ~ 42% during NEM. The Brahmaputra had the lowest deposition rates. Ocean currents transported plastic from the Godavari and Krishna rivers northward during PreM and SWM, while winds and Stokes drift pushed Ganges and Brahmaputra particles southwestward in pNEM and NEM. These findings emphasize seasonal variations in plastic transport and inform coastal management strategies to mitigate pollution along the east coast of India.',
+  },
   {
     title:
       'Dispersion monitoring services in the Mediterranean Sea: A multi-model statistical approach',