Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment
Agenda

Model training for scenario analysis: River export of nutrients from land to sea

Date: 11 May 2018
Location: Wageningen University & Research, Forum PC0707

This course is organised by SENSE postdoc Maryna Strokal (WUR).

One day PhD course on the modelling of river export of nutrients from land to sea using the MARINA model and the Global NEWS model. MARINA stands for Model to Assess River Inputs of Nutrients to seAs. Global NEWS stands for global Nutrient Export from WaterSheds. The models aim to better understand how human activities on land contribute to coastal eutrophication at the global and continental scale. The models quantify river export of nutrients by source (Global NEWS and MARINA) and by sub-basin (MARINA) for past and future.

Target audience

PhDs with an interest in scenario analyses for river export of nutrients in relation to Sustainable Development Goals 2 and 6; no experience in modelling necessary.

Description

The course will introduce the participants to (1) scenario analysis for “Land-Water-Food” nexus and Sustainable Development Goals (SDGs), and to (2) the Global NEWS and MARINA models for modelling nutrients from land to sea. Focus will be on the Black Sea and the South China Sea. Participants will perform two exercises. Exercise 1 is to run the model for existing scenario and Exercise 2 is to run the model for alternative scenario under SDG2 and 6. Results of the model runs will be discussed.

Learning outcomes

After this day, participants are expected to be able to:

  • Run the model for a simple scenario analysis;
  • Interpret model inputs and outputs in relation to SDG2 and 6.

Practicalities

  • ECTS: 0.3 (certificate will be provided after the course)
  • No course fee
  • Lunch is included
  • Registration: send email before 29th of April to maryna.strokal@wur.nl with the heading: "Registration modeling course"
  • Maximum number of participants: 40

 

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