These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
120 related articles for article (PubMed ID: 32332746)
21. Effects of sea level rise, land subsidence, bathymetric change and typhoon tracks on storm flooding in the coastal areas of Shanghai. Wang J; Yi S; Li M; Wang L; Song C Sci Total Environ; 2018 Apr; 621():228-234. PubMed ID: 29179079 [TBL] [Abstract][Full Text] [Related]
22. Rapid flood and damage mapping using synthetic aperture radar in response to Typhoon Hagibis, Japan. Tay CWJ; Yun SH; Chin ST; Bhardwaj A; Jung J; Hill EM Sci Data; 2020 Mar; 7(1):100. PubMed ID: 32214103 [TBL] [Abstract][Full Text] [Related]
23. The role of enhanced velocity shears in rapid ocean cooling during Super Typhoon Nepartak 2016. Yang YJ; Chang MH; Hsieh CY; Chang HI; Jan S; Wei CL Nat Commun; 2019 Apr; 10(1):1627. PubMed ID: 30967544 [TBL] [Abstract][Full Text] [Related]
24. Does warmer China land attract more super typhoons? Xu X; Peng S; Yang X; Xu H; Tong DQ; Wang D; Guo Y; Chan JC; Chen L; Yu W; Li Y; Lai Z; Zhang S Sci Rep; 2013; 3():1522. PubMed ID: 23519311 [TBL] [Abstract][Full Text] [Related]
25. Comparative study on typhoon's wind speed prediction by a neural networks model and a hydrodynamical model. Haghroosta T MethodsX; 2019; 6():633-640. PubMed ID: 30989055 [TBL] [Abstract][Full Text] [Related]
26. Long Short-Term Memory Networks' Application on Typhoon Wave Prediction for the Western Coast of Taiwan. Chao WT; Kuo TJ Sensors (Basel); 2024 Jul; 24(13):. PubMed ID: 39001084 [TBL] [Abstract][Full Text] [Related]
27. Integration of hard and soft supervised machine learning for flood susceptibility mapping. Andaryani S; Nourani V; Haghighi AT; Keesstra S J Environ Manage; 2021 Aug; 291():112731. PubMed ID: 33962279 [TBL] [Abstract][Full Text] [Related]
28. Stochastic Simulation of Typhoon in Northwest Pacific Basin Based on Machine Learning. Fang Y; Sun Y; Zhang L; Chen G; Du M; Guo Y Comput Intell Neurosci; 2022; 2022():6760944. PubMed ID: 35222632 [TBL] [Abstract][Full Text] [Related]
29. Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: Exploring the roles of topography, minority populations, and political dissimilarity. Knighton J; Buchanan B; Guzman C; Elliott R; White E; Rahm B J Environ Manage; 2020 Oct; 272():111051. PubMed ID: 32677622 [TBL] [Abstract][Full Text] [Related]
30. Increasing typhoon impact and economic losses due to anthropogenic warming in Southeast China. Huang M; Wang Q; Liu M; Lin N; Wang Y; Jing R; Sun J; Murakami H; Lou W Sci Rep; 2022 Sep; 12(1):14048. PubMed ID: 36076001 [TBL] [Abstract][Full Text] [Related]
31. A nonstructural flood prevention measure for mitigating urban inundation impacts along with river flooding effects. Shih SS; Kuo PH; Lai JS J Environ Manage; 2019 Dec; 251():109553. PubMed ID: 31539701 [TBL] [Abstract][Full Text] [Related]
32. Runoff effect of precipitation variation and landscape pattern evolution in Lianshui watershed, Jiangxi, China. Sheng F; Liu SY; Zhang T; Yu MQ Ying Yong Sheng Tai Xue Bao; 2023 Jan; 34(1):196-202. PubMed ID: 36799394 [TBL] [Abstract][Full Text] [Related]
33. Impacts of increasing typhoons on the structure and function of a subtropical forest: reflections of a changing climate. Lin KC; Hamburg SP; Wang L; Duh CT; Huang CM; Chang CT; Lin TC Sci Rep; 2017 Jul; 7(1):4911. PubMed ID: 28687764 [TBL] [Abstract][Full Text] [Related]
34. Decadal phytoplankton dynamics in response to episodic climatic disturbances in a subtropical deep freshwater ecosystem. Ko CY; Lai CC; Hsu HH; Shiah FK Water Res; 2017 Feb; 109():102-113. PubMed ID: 27866101 [TBL] [Abstract][Full Text] [Related]
35. Development of a dynamical statistical analog ensemble forecast model for landfalling typhoon disasters. Wu C; Ren F; Zhang DL; Zhu J; McBride JL; Chen Y Sci Rep; 2023 Sep; 13(1):16264. PubMed ID: 37758776 [TBL] [Abstract][Full Text] [Related]
36. Typhoon hazards in the Shanghai area. Zong Y; Chen X Disasters; 1999 Mar; 23(1):66-80. PubMed ID: 10204288 [TBL] [Abstract][Full Text] [Related]
37. A method for mapping flood hazard along roads. Kalantari Z; Nickman A; Lyon SW; Olofsson B; Folkeson L J Environ Manage; 2014 Jan; 133():69-77. PubMed ID: 24361730 [TBL] [Abstract][Full Text] [Related]
38. Machine-learning algorithms for forecast-informed reservoir operation (FIRO) to reduce flood damages. Zarei M; Bozorg-Haddad O; Baghban S; Delpasand M; Goharian E; Loáiciga HA Sci Rep; 2021 Dec; 11(1):24295. PubMed ID: 34934081 [TBL] [Abstract][Full Text] [Related]
39. Influence of Typhoon Matsa on Phytoplankton Chlorophyll-a off East China. Zhao H; Shao J; Han G; Yang D; Lv J PLoS One; 2015; 10(9):e0137863. PubMed ID: 26407324 [TBL] [Abstract][Full Text] [Related]
40. Forecasting of Typhoon-Induced Wind-Wave by Using Convolutional Deep Learning on Fused Data of Remote Sensing and Ground Measurements. Wei CC; Chang HC Sensors (Basel); 2021 Aug; 21(15):. PubMed ID: 34372470 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]