当前位置: X-MOL 学术Environ. Model. Softw. › 论文详情
Detecting sensitive areas in confined shallow basins
Environmental Modelling & Software ( IF 4.552 ) Pub Date : 2020-02-15 , DOI: 10.1016/j.envsoft.2020.104659
Elvira Armenio; Mouldi Ben Meftah; Gennaro Capasso; Vera Corbelli; Diana De Padova; Francesca De Pascalis; Francesca De Serio; Annalisa Di Bernardino; Giovanni Leuzzi; Paolo Monti; Michele Mossa; Agnese Pini; Raffaele Velardo

Coastal shallow basins are often heavily anthropized and greatly exposed to environmental risk areas, thus requiring strict monitoring action by local authorities and stakeholders. Preventive measures against environmental degradation and early warning to hazards have been proved to benefit from the combined use of numerical models and field measurements. The present work sets out to show the potential of a meteorological-hydrodynamic model system, validated with field data, to identify the main physical processes characterizing a semi-enclosed basin located in the inner part of the Ionian Sea, in southern Italy. Furthermore, based on the model results, we adopted some convenient indicators, especially related to flow exchanges, in order to identify and characterize the area in the basin most sensitive to environmental problems. The results highlight the retentive feature of the inner part of the basin and different times necessary for the water renewal in both the surface and bottom layers.
更新日期:2020-02-20

 

全部期刊列表>>
智控未来
聚焦商业经济政治法律
跟Nature、Science文章学绘图
控制与机器人
招募海内外科研人才,上自然官网
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
x-mol收录
湖南大学化学化工学院刘松
上海有机所
廖良生
南方科技大学
西湖大学
伊利诺伊大学香槟分校
徐明华
中山大学化学工程与技术学院
试剂库存
天合科研
down
wechat
bug