中文版 | English

在结果中检索

CCPortal

浏览/检索结果: 共6条，第1-6条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Appraisal of hydro-meteorological factors during extreme precipitation event: case study of Kedarnath cloudburst, Uttarakhand, India 期刊论文
Natural Hazards, 2020, 卷号: 100, 期号: 2
作者:  Pratap S.;  Srivastava P.K.;  Routray A.;  Islam T.;  Mall R.K.
收藏  |  浏览/下载：14/0  |  提交时间：2021/09/01
Cloudburst  Digital elevation model (DEM)  Principal component analysis  Seriation analysis  Weather Research and Forecasting  
Renewable energy can enhance resilience of small islands 期刊论文
Natural Hazards, 2020, 卷号: 104, 期号: 3
作者:  Weir T.;  Kumar M.
收藏  |  浏览/下载：21/0  |  提交时间：2021/09/01
Hydro-meteorological disasters  Remote islands  Renewable energy  Resilience  Small Island Developing States  
A fuzzy social vulnerability evaluation from the perception of disaster bearers against meteorological disasters 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 2
作者:  Cai M.;  Wei G.
收藏  |  浏览/下载：20/0  |  提交时间：2021/09/01
Disaster bearers  Fuzzy interpretive structural modeling (FISM)  Linguistic variables  Social vulnerability  
Automated detection and measurement of volcanic cloud growth: towards a robust estimate of mass flux, mass loading and eruption duration 期刊论文
Natural Hazards, 2020, 卷号: 101, 期号: 1
作者:  Bear-Crozier A.;  Pouget S.;  Bursik M.;  Jansons E.;  Denman J.;  Tupper A.;  Rustowicz R.
收藏  |  浏览/下载：29/0  |  提交时间：2021/09/01
Automated plume detection  Cloud area  Gravity current  Mass eruption rate  Operational tool  Volcanic cloud  
Drought disaster risks under CMIP5 RCP scenarios in Ningxia Hui Autonomous Region, China 期刊论文
Natural Hazards, 2020, 卷号: 100, 期号: 3
作者:  Tan C.;  Yang J.;  Wang X.;  Qin D.;  Huang B.;  Chen H.
收藏  |  浏览/下载：26/0  |  提交时间：2021/09/01
Disaster risk  Drought  Global climate model (GCM)  Ningxia  
Development of drought hazard index for vulnerability assessment in Pakistan 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 3
作者:  Adnan S.;  Ullah K.
收藏  |  浏览/下载：19/0  |  提交时间：2021/09/01
Climatology of Pakistan  Drought hazard index  Vulnerability assessment