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Bibliografiske detaljer
Hovedforfatter:	Sohrabi, Mohammad
Format:	Recurso digital
Sprog:	engelsk
Udgivet:	Zenodo 2025
Fag:	Hoghton Michigan Firozkoh Floods Human Vulnerability Machine Learning Machin lerning
Online adgang:	https://doi.org/10.5281/zenodo.17619207
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

GeoFlood Studio
af: Miura, Yuki, et al.
Udgivet: (2025)

Natural disasters in Lake Victoria Basin (Kenya): Causes and impacts on environment and livelihoods.
af: Opere, A., et al.
Udgivet: (2006)

Lineamientos para la adaptación al cambio climático de Cartagena de Indias. Proyecto Integración de la Adaptación al Cambio Climático en la Planificación Territorial y Gestión Sectorial de Cartagena de Indias
Udgivet: (2013)

A general numerical model for evaluating size limit regulations with application to Michigan Bluegill (Lepomis macrochirus Rafinesque) // Kelley David Smith
af: Smith, Kelley David
Udgivet: (1981)

Michigan fisheries centennial report 1873-1973 / compiled by D.N.R. Staff
af: Michigan. Department of Natural Resources
Udgivet: (1974)

A computational method based on CVSS for quantifying the vulnerabilities in computer network
af: Mohammadi, Shahriyar, et al.
Udgivet: (2014)

Occurrence of a deep nitrite maximum in Lake Michigan
af: Mortonson, J. A., Brooks, A. S
Udgivet: (1980)

A Proposed Method to Estimate Climate Change Impacts on Dam's Spillway Design Flood
af: Mohammad Reza Khazaei
Udgivet: (2025)

Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed
af: Rukai Wang, et al.
Udgivet: (2025)

Economic Exposure of Canadian Residential Properties to Flooding
af: Gabriel Morin, et al.
Udgivet: (2025)

Integrated Machine Learning and Hydrodynamic Modeling for Agricultural Land Flood Under Climate Change Scenarios
af: Amin Hassanjabbar, et al.
Udgivet: (2025)

Integrated Hydrological and Hydrodynamic Modeling for Mountainous Flooding—A Case Study in China
af: Jin Ni, et al.
Udgivet: (2026)

Nonstationary Flood Frequency Analysis Using Reconstructing Past Millennium Floods Based on Large‐Scale Climate Indices
af: Yue Guo, et al.
Udgivet: (2026)

Thermal habitat partitioning by fishes in Lake Michigan
af: Brandt, S. B., Magnuson, J. J., Crowder, L. B
Udgivet: (1980)

Optimized Allocation of Flood Control Emergency Materials Based on Loss Quantification
af: Wei Wang, et al.
Udgivet: (2025)

Complementarity in the use of food and thermal habitat by Lake Michigan fishes
af: Crowder, L. B., Magnuson, J. J., Brandt, S. B
Udgivet: (1977)

Flood Susceptibility Mapping and Climate Change Impact Prediction Using Probabilistic Machine Learning and Statistical Analysis: A Case Study of Kigali, Rwanda
af: Nishyirimbere Angelique, et al.
Udgivet: (2026)

Climate Change, Floods, and Community Resilience: A Study of the Kamala River Basin, Nepal
af: Chandra Lal Pandey
Udgivet: (2025)

Evaluación de ataques UDP Flood utilizando escenarios virtualescomo plataforma experimental
af: Walter Fuertes
Udgivet: (2011)

First Assessment of the Effects of the 2000 Southern Mozambique Floods on Coral Communities: The Case of Xai-Xai Lagoon
af: Gonçalves, P.M.B., et al.
Udgivet: (2000)

Flood layer occurrence in Lake Muzelle sediments
af: Fouinat, Laurent, et al.
Udgivet: (2017)

Preserving the Past in a Changing Climate: An Approach to Assess the Impact of Urban Flooding in Cultural Heritage Cities
af: Paolo Tamagnone, et al.
Udgivet: (2025)

Population or stock structure of lake whitefish, Coregonus clupeaformis, in northern Lake Michigan as assessed by isozyme electrophoresis
af: Imhof, M., Leary, R., Booke, H. E
Udgivet: (1980)

Lake trout (Salvelinus namaycush) and sea lamprey (Petromyzon marinus) populations in Lake Michigan, 1971-78
af: Wells, L
Udgivet: (1971)

Comparative Evaluation of Deep Learning–Based Super–Resolution Models for Urban Flood Mapping
af: Hyeonjin Choi, et al.
Udgivet: (2025)

Screening for Mental Distress Following the 2022 Marche Floods in Italy: A Comparative Study Using the Kessler Distress Scale in Directly Affected Individuals and a Control Group
af: Philip Bubeck, et al.
Udgivet: (2025)

Dynamic Adaptive Policy Pathways Approach to Manage Climate and Land Use Change‐Induced Urban Flood Damages
af: Arash Majidi, et al.
Udgivet: (2025)

Feeding ecology and vertical migration of adult alewives (Alosa pseudoharengus) in Lake Michigan
af: Janssen, J., Brandt, S. B
Udgivet: (1975)

Multidimensional Vulnerability Assessment for Floods: Evidence From Flood‐Prone Areas of Bangladesh
af: Md Mostafizur Rahman, et al.
Udgivet: (2025)

Integrating Remote Sensing, Machine Learning, and Local Knowledge for Innovative Flood Susceptibility and Vulnerability Mapping
af: Ali Nasiri Khiavi, et al.
Udgivet: (2025)

Development and Implementation of a Machine Learning‐Based Flood Forecasting System in Kasese District, Uganda
af: Edward Miiro, et al.
Udgivet: (2025)

Rainstorm Flood Risk Assessment in the China–Pakistan Economic Corridor Under Different Shared Socioeconomic Pathways of the 21st Century
af: Mengting Liu, et al.
Udgivet: (2026)

Numerical modelling of Castel Bolognese (Italy) flooding of 16-19 May 2023
af: Aureli, Francesca
Udgivet: (2026)

Correction to “Rainstorm Flood Risk Assessment in the China–Pakistan Economic Corridor Under Different Shared Socioeconomic Pathways of the 21st Century”
Udgivet: (2026)

Flood Risk Reduction—What Are the Priorities? The Perspective of Private Households After the Ahr Flood of 2021
af: Alessa Truedinger, et al.
Udgivet: (2025)

Can Flash Flood Risk Index Be an Early Warning Signal of Flash Floods in Ungauged Basin?
af: Kaihua Guo, et al.
Udgivet: (2026)

Practitioner Perspectives of Flood Source Area ( FSA ) Analysis for System‐Based Flood Risk Management
af: David A. Dawson, et al.
Udgivet: (2025)

Statistical Methods for Assessing Flood Risk and the Climate Change Challenge
af: Jery R. Stedinger
Udgivet: (2012)

Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran
af: Ghasem Farahmand, et al.
Udgivet: (2025)

Integrated Flood Risk Matrix for Priority Determination Among Flood Impact Factors in Urban Drainage Systems
af: Soon Ho Kwon, et al.
Udgivet: (2025)