Radio Concierto interview on water scarcity

Jan 8, 2020·
Dr. Mauricio Zambrano-Bigiarini
Dr. Mauricio Zambrano-Bigiarini
· 1 min read
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In the early morning of today January 8th, 2020 Dr. Mauricio Zambrano Bigiarini was interviewed by Radio Concierto (national coverage), to talk about the drought and water scarcity situation that currently affects Chile.

This interview was managed by the press unit of the Center for Climate and Resilience Research (CR2), and Dr. Zambrano-Bigiarini addresses issues such as “zero day” in some cities, the effectiveness of water saving campaigns promoted by the government, the response of the political world to the water problem, payment of patents for non-use of water, the importance of efficient water management, sustainability of use of water, and what can we do to combat water scarcity.

This interview is available at https://envivo.concierto.cl/audio/concierto_mananaseraotrodia_20200108_070000_080000, in the block between 07:00 and 08:00 from minute 41:40 onwards.

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Dr. Mauricio Zambrano-Bigiarini
Authors
Associate Professor

I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).

My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.

I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.

Please reach out to collaborate 😃