← Search

Data · dataset · 2025

Data from Future scenarios for river exports of multiple pollutants by sources and sub-basins worldwide: rising pollution for the Indian Ocean

Listed in DANS Data Station Physical and Technical Sciences

In the future, rivers may export more pollutants to coastal waters, driven by socio-economic development, increased material consumption, and climate change.

Description

However, existing scenarios often ignore multi-pollutant problems. Here, we aim to explore future trends in river exports of nutrients (N and P), plastics (macro and micro), and emerging contaminants (triclosan and diclofenac) at the sub-basin scale in the world by developing and applying the process-based MARINA-Multi model for diverging scenarios.

In our MARINA-Multi (Model to Assess River Inputs of pollutaNts to the seAs) model, we implemented two new multi-pollutant scenarios: “Sustainability-driven Future” (SD) and “Economy-driven Future” (ED). In ED, river exports of nutrients and microplastics will double by 2100 globally. For SD, a decrease of up to 83% is projected for all pollutants by 2100.

Read the rest (2 more)

Diffuse sources such as fertilizers are largely responsible for increasing nutrient pollution in the two scenarios. Point sources namely sewage systems are largely responsible for increasing microplastic pollution in the ED scenario. In both scenarios, the Indian Ocean will receive up to 400% more pollutants from rivers by 2100 because of growing population, urbanization, and poor waste management in the African and Asian basins.

The situation is different for the Mediterranean Sea and the Pacific Ocean (mainly less future pollution) and the Atlantic Ocean and Arctic Ocean (more or less future pollution depending on sub-basin and scenario). Globally, 56-78% of people are expected to live in more polluted river basins in the future, challenging sustainable development goals for clean waters. Project funded by: Marie Skłodowska-Curie Actions, inventWater — Grant Agreement No. 956623

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Pollution and contamination 71%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/PT/EOYPIN13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4105enrichment · phys techsciences datastations nltaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:ocean-atmosphericmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[subject].local:topic:climatemapping · phys techsciences datastations nlvocabulary-mapper@1.0.0keywords['Climate Change']
created_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
descriptionsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/description
publication_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
titlesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/name
updated_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
version_labelsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0