Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Scott C Hagen"'
Autor:
Karim Alizad, Scott C Hagen, Stephen C Medeiros, Matthew V Bilskie, James T Morris, Len Balthis, Christine A Buckel
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205176 (2018)
Two distinct microtidal estuarine systems were assessed to advance the understanding of the coastal dynamics of sea level rise in salt marshes. A coupled hydrodynamic-marsh model (Hydro-MEM) was applied to both a marine-dominated (Grand Bay, Mississi
Externí odkaz:
https://doaj.org/article/d9d0fd94bcac4b29970a3d6746baf4e8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 807-814 (2020)
Light detection and ranging (Lidar) derived digital elevation models are widely used in modeling coastal marsh systems. However, the topographic error in these models can affect simulations of marsh coverage and characteristics. We investigated the r
Externí odkaz:
https://doaj.org/article/75c4693da7a84ddea08bbacc03fee3e4
Publikováno v:
Frontiers in Climate, Vol 3 (2021)
Recent events worldwide demonstrate how coastal communities of integrated natural and human systems are exposed to hydrological and coastal flooding processes. Standard flood hazard assessment practices account independently for rainfall-runoff, tide
Externí odkaz:
https://doaj.org/article/27eab0c9e7e8440f997dc536048a2725
Publikováno v:
Frontiers in Communication, Vol 6 (2021)
This paper reports on insights and lessons learned from stakeholder engagement, particularly focus groups, conducted during a multi-year, NOAA-sponsored transdisciplinary project. A major project goal was to demonstrate and communicate benefits of na
Externí odkaz:
https://doaj.org/article/3f7ab42da40a48349ac5ea2ce7ded86e
Publikováno v:
Frontiers in Water, Vol 3 (2021)
Traditional coastal flood hazard studies do not typically account for rainfall-runoff processes in quantifying flood hazard and related cascading risks. This study addresses the potential impacts of antecedent rainfall-runoff, tropical cyclone (TC)-d
Externí odkaz:
https://doaj.org/article/03942e89533f4cc6b67005229d462a78
Publikováno v:
Data, Vol 7, Iss 6, p 71 (2022)
Storm surge flooding can cause significant damage to coastal communities. In addition, coastal communities face an increased risk of coastal hazards due to sea-level rise (SLR). This research developed a dataset to communicate the socioeconomic conse
Externí odkaz:
https://doaj.org/article/b9befbb6a4b0433797049b3ce85d1806
Autor:
Davina L. Passeri, Matthew V. Bilskie, Scott C. Hagen, Rangley C. Mickey, P. Soupy Dalyander, Victor M. Gonzalez
Publikováno v:
Water, Vol 13, Iss 7, p 944 (2021)
Nourishment has shown to be an effective method for short-term storm protection along barrier islands and sandy beaches by reducing flooding, wave attack and erosion. However, the ability of nourishment to mitigate the effects of storms and sea level
Externí odkaz:
https://doaj.org/article/74f95f26e5844de89d74e1c5401a462b
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:2132-2143
Natural disasters, such as floods, may damage power system assets and lead to widespread and long outages. The impact of flood can be alleviated by preventive actions such as installing tiger dams around power substations before the flood. In this re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fbd0ae4d8d19c0f370c59b900a29c44
https://doi.org/10.1109/tii.2021.3100079
https://doi.org/10.1109/tii.2021.3100079
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 4, Pp 1582-1590 (2015)
A novel technique for parameterizing surface roughness in coastal inundation models using airborne laser scanning (lidar) data is presented. Two important parameters to coastal overland flow dynamics, Manning's n (bottom friction) and effective aerod
Externí odkaz:
https://doaj.org/article/23333219955f400c9cace84c7349ae43
Publikováno v:
Water Resources Research. 58
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5680687bf79b7ae544341d644a9b90
https://doi.org/10.1029/2022wr032225
https://doi.org/10.1029/2022wr032225