Advances in Modelling and Prediction on the Impact of Human Activities and Extreme Events on Environments
Advances in Modelling and Prediction on the Impact of Human Activities and Extreme Events on Environments
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人类活动和极端事件对环境影响的建模和预测进展
DOI：
10.3390/w12061768
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发表时间：
2020-06
期刊：
影响因子：
3.4
通讯作者：
Songdong Shao
中科院分区：
文献类型：
--
作者：
Matteo Rubinato;Min Luo;Xing Zheng;Jaan H. Pu;Songdong Shao
Fast urbanization and industrialization have progressively caused severe impacts on mountainous, river, and coastal environments, and have increased the risks for people living in these areas. Human activities have changed ecosystems hence it is important to determine ways to predict these consequences to enable the preservation and restoration of these key areas. Furthermore, extreme events attributed to climate change are becoming more frequent, aggravating the entire scenario and introducing ulterior uncertainties on the accurate and efficient management of these areas to protect the environment as well as the health and safety of people. In actual fact, climate change is altering rain patterns and causing extreme heat, as well as inducing other weather mutations. All these lead to more frequent natural disasters such as flood events, erosions, and the contamination and spreading of pollutants. Therefore, efforts need to be devoted to investigate the underlying causes, and to identify feasible mitigation and adaptation strategies to reduce negative impacts on both the environment and citizens. To contribute towards this aim, the selected papers in this Special Issue covered a wide range of issues that are mainly relevant to: (i) the numerical and experimental characterization of complex flow conditions under specific circumstances induced by the natural hazards; (ii) the effect of climate change on the hydrological processes in mountainous, river, and coastal environments, (iii) the protection of ecosystems and the restoration of areas damaged by the effects of climate change and human activities.
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影响因子：
3.4
作者：
G. Duan;A. Shu;M. Rubinato;Shu Wang;Fuyang Zhu
通讯作者：
G. Duan;A. Shu;M. Rubinato;Shu Wang;Fuyang Zhu
影响因子：
6.9
作者：
Ana P. García-Nieto;I. Geijzendorffer;F. Baró;P. Roche;A. Bondeau;W. Cramer
通讯作者：
Ana P. García-Nieto;I. Geijzendorffer;F. Baró;P. Roche;A. Bondeau;W. Cramer
影响因子：
6.4
作者：
L. Locatelli;O. Mark;P. Mikkelsen;K. Arnbjerg-Nielsen;A. Deletic;M. Roldin;P. Binning
通讯作者：
L. Locatelli;O. Mark;P. Mikkelsen;K. Arnbjerg-Nielsen;A. Deletic;M. Roldin;P. Binning
影响因子：
4.6
作者：
Paul S;Ghosh S;Mathew M;Devanand A;Karmakar S;Niyogi D
通讯作者：
Niyogi D
影响因子：
3.4
作者：
Fei Yang;X. Shao;Xu-dong Fu;E. Kazemi
通讯作者：
Fei Yang;X. Shao;Xu-dong Fu;E. Kazemi