Are you passionate about water quality and quantity modeling and developing innovative modeling approaches for pollution management? And interested in scenario analysis, seeking solutions, and evaluation of water-related policy? Then you maybe the candidate we are looking for!
Within the inventWater consortium on "Innovative forecasting approaches to assess future trends in pollutant flows from land to water systems for advancing sectoral water quality services" we are looking for a PhD candidate. The research will focus on multiple pollutants in water systems. Many reservoirs, lakes and rivers suffer from pollution problems. Examples are increasing levels of nutrients, chemicals (e.g., pesticides), pathogens, and plastics. These pollutants decrease the availability of clean water for domestic, agricultural, recreation, and nature sectors. These pollutants in water often result from common sources such as agriculture and urbanization. In addition, climate change may influence water quality: e.g., flooding from over fertilized agricultural fields that bring nutrients to water. However, the current knowledge is limited in integrating existing modelling approaches of individual pollutants into an innovative tool for comprehensive water quality assessments and management at different scales for different water systems and sectors, where impacts of climate change and socio-economic drivers are integrated.
The PhD candidate will focus on developing new modelling tools to forecast future trends in pollutant flows from land to water systems for advancing sectoral water quality services while integrating impacts of climate change and socio-economic drivers. The project will strongly build up on existing tools at the host group where a multi-pollutant model is under development for the world (MARINA-Global) and for China (MARINA-China). The project will establish water quality services for sectors such as agriculture, domestic, and recreation. The focus will be on 10,226 sub-basins in the world.
The objectives of this research are: i) to integrate existing modelling approaches into multi-pollutant modelling tools for effective water pollution management, ii) better understand the impacts of future climate change and socio-economic drivers on water quality for different sectors taking a multi-pollutant perspective, and iii) provide new insights on solutions to reduce future multi-pollutant problems and increase the availability of clean water for different sectors.
The PhD candidate will do a secondment (internship as visiting researcher) at the International Institute for Applied Systems analysis (IIASA) for a shorter period of time (up to 3 months). The PhD candidate will interact with Fellow ESR6 within the inventWater project for global water quality modelling and receive insights on water resources management in different countries for scenario analysis. Details on the inventWater project can be found here ..
The PhD candidate will be supervised by Dr. Maryna Strokal, Prof Carolien Kroeze from WUR, and Dr. Ting Tang and Yoshihide Wada, from the International Institute for Applied Systems Analysis, Laxenburg, Austria.
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