The IIASA Water Program works across various water-related sectors and management scales. It studies a range of possible future socioeconomic changes and technological innovations.
The program seeks to incorporate water science into assessment and planning studies at the nexus of water, food, energy, and environmental security. Its aim is to establish a critical mass of water knowledge through development of new modeling tools and data collection.
The Arctic region is heating up faster than any other place on Earth, and as more and more sea ice is lost every year, we are already feeling the impacts. IIASA researchers explored strategies for cooling down the oceans in a world without this important cooling mechanism. More
Mountains and highlands are often referred to as natural “water towers” because they provide lowland communities with essential freshwater for drinking, irrigation, industry, food, and energy production. A new Nature study provides insight into this valuable resource, which is crucial to the welfare of 1.9 billion people. More
A ground-breaking study into sustainable solutions to jointly meet water, energy and land demands at the global level, and also zooming into two large transboundary basins facing multiple development and environmental challenges: The Zambezi and the Indus. More
IIASA Water Program Director Yoshihide Wada has been invited as a key speaker at the First G20 Agricultural Deputies mee... More
Water research at IIASA
IIASA research programs have continually been active in water science since the Institute's inception in 1972. IIASA played a prominent role in various recent large integrated water projects: WATCH (Water and Global Change); SCENES (Scenarios for Europe and Neighbouring States).
Last edited: 21 March 2020
IIASA Water Program researchers have developed a new model to study #water #systems across whole continents. Study published today in @theAGU journal Water Resources Research | https://t.co/lLNS6Nq1pT #watermanagement #waterenergyfood #waterresources #watersystems pic.twitter.com/uFjqsh7GIB— IIASA (@IIASAVienna) October 12, 2018
Donde, O.O., Atoni, E., Muia, A.W., & Yillia, P. (2021). COVID-19 pandemic: Water, sanitation and hygiene (WASH) as a critical control measure remains a major challenge in low-income countries. Water Research 191, e116793. 10.1016/j.watres.2020.116793.
Pokhrel, Y., Felfelani, F., Satoh, Y., Boulange, J., Burek, P. , Gädeke, A., Gerten, D., Gosling, S.N., et al. (2021). Global terrestrial water storage and drought severity under climate change. Nature Climate Change 10.1038/s41558-020-00972-w. (In Press)
Dorninger, C., Hornborg, A., Abson, D.J., von Wehrden, H., Schaffartzik, A., Giljum, S., Engler, J.-O., Feller, R.L., et al. (2021). Global patterns of ecologically unequal exchange: Implications for sustainability in the 21st century. Ecological Economics 179, e106824. 10.1016/j.ecolecon.2020.106824.
Tian, Z., Ji, Y., Xu, H., Qiu, H., Sun, L., Zhong, H., & Liu, J. (2021). The potential contribution of growing rapeseed in winter fallow fields across Yangtze River Basin to energy and food security in China. Resources, Conservation and Recycling 164, e105159. 10.1016/j.resconrec.2020.105159.
Shan, Y., Ou, J., Wang, D., Zeng, Z., Zhang, S. , Guan, D., & Hubacek, K. (2020). Impacts of COVID-19 and fiscal stimuli on global emissions and the Paris Agreement. Nature Climate Change 10.1038/s41558-020-00977-5.
Vieira, L.W., Marques, A.D., Schneider, P.S., José da Silva Neto, A., Viana, F.A.C., Abdel-jawad, M., Hunt, J. , & Siluk, J.C.M. (2020). Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach. Energy and AI, e100040. 10.1016/j.egyai.2020.100040. (In Press)
Vinca, A. , Parkinson, S., Riahi, K. , Byers, E. , Siddiqi, A., Muhammad, A., Ilyas, A., Yogeswaran, N., et al. (2020). Transboundary cooperation a potential route to sustainable development in the Indus basin. Nature Sustainability 10.1038/s41893-020-00654-7.
Rivas-Tabares, D., de Miguel, Á., Willaarts, B. , & Tarquis, A.M. (2020). Self-organizing map of soil properties in the context of hydrological modeling. Applied Mathematical Modelling 88, 175-189. 10.1016/j.apm.2020.06.044.
International Institute for Applied Systems Analysis (IIASA)
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Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313