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A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis 期刊论文
Climate Risk Management, 2022, 卷号: 35
作者:  Harris R.;  Furlan E.;  Pham H.V.;  Torresan S.;  Mysiak J.;  Critto A.
收藏  |  浏览/下载：14/0  |  提交时间：2022/06/13
Exploring machine learning potential for climate change risk assessment 期刊论文
Earth Science Reviews, 2021, 卷号: 220
作者:  Zennaro F.;  Furlan E.;  Simeoni C.;  Torresan S.;  Aslan S.;  Critto A.;  Marcomini A.
收藏  |  浏览/下载：22/0  |  提交时间：2021/09/01
Big data  Climate change risk assessment  Machine learning  Remote sensing  Scientometric analysis  Systematic review  
Exploring machine learning potential for climate change risk assessment 期刊论文
EARTH-SCIENCE REVIEWS, 2021, 卷号: 220
作者:  Zennaro F.;  Furlan E.;  Simeoni C.;  Torresan S.;  Aslan S.;  Critto A.;  Marcomini A.
收藏  |  浏览/下载：8/0  |  提交时间：2021/09/28
A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading 期刊论文
ENVIRONMENTAL SCIENCE & POLICY, 2019, 卷号: 100, 页码: 21-36
作者:  Sperotto, A.;  Molina, J. L.;  Torresan, S.;  Critto, A.;  Pulido-Velazquez, M.;  Marcomini, A.
收藏  |  浏览/下载：21/0  |  提交时间：2019/10/08
Bayesian Networks  climate change impacts  nutrients loading  water quality  Zero river basin  
Assessing uncertainty of hydrological and ecological parameters originating from the application of an ensemble of ten global-regional climate model projections in a coastal ecosystem of the lagoon of Venice, Italy 期刊论文
ECOLOGICAL ENGINEERING, 2019, 卷号: 133, 页码: 121-136
作者:  Pesce, M.;  Critto, A.;  Torresan, S.;  Giubilato, E.;  Pizzol, L.;  Marcomini, A.
收藏  |  浏览/下载：41/0  |  提交时间：2019/10/08
Climate change  Uncertainty analysis  Phytoplankton  Hydrology  SWAT  AQUATOX