Detection of Flood-Prone Areas Using Digital Elevation Models-Reference-Cited by-同舟云学术

Detection of Flood-Prone Areas Using Digital Elevation Models

Published:2011-10 Issue:10 Volume:16 Page:781-790
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Manfreda Salvatore¹²³,Di Leo Margherita¹²³,Sole Aurelia¹²³

Affiliation:

1. Assistant Professor, Dipartimento di Ingegneria e Fisica dell’Ambiente, Univ. degli Studi della Basilicata, via dell’Ateneo Lucano 10, Potenza, 85100, Italy (corresponding author).

2. Ph.D. Student, Dipartimento di Ingegneria e Fisica dell’Ambiente, Univ. degli Studi della Basilicata, via dell’Ateneo Lucano 10, Potenza, 85100, Italy.

3. Full Professor, Dipartimento di Ingegneria e Fisica dell’Ambiente, Univ. degli Studi della Basilicata, via dell’Ateneo Lucano 10, Potenza, 85100, Italy.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000367

Reference38 articles.

1. Progetto di piano stralcio per l’assetto idrogeologico—Relazione;Arno River Basin Authority;Firenze,2002

2. A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

3. Distribution of the extreme peak floods of the Tiber River from the XV century

4. Are natural hazards and disaster losses in the U.S. increasing?

Cited by 141 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing multi-source random forest classification and robustness of predictor variables in flooded areas mapping;Remote Sensing Applications: Society and Environment;2024-08

2. Assessment of Flood Hazard Mapping Using a DEM-Based Approach and 2D Hydrodynamic Modeling;Water;2024-06-28

3. Addressing Uncertainty in Flood Hazard Mapping under a Bayesian Approach;Journal of Hydrologic Engineering;2024-06

4. Can geomorphic flood descriptors coupled with machine learning models enhance in quantifying flood risks over data-scarce catchments? Development of a hybrid framework for Ganga basin (India);Environmental Science and Pollution Research;2024-05-06

5. A Novel Flood Risk Analysis Framework Based on Earth Observation Data to Retrieve Historical Inundations and Future Scenarios;Remote Sensing;2024-04-16