Screening Tool for Dam Hazard Potential Classification Using Machine Learning and Multiobjective Parameter Tuning-Reference-Cited by-同舟云学术

Screening Tool for Dam Hazard Potential Classification Using Machine Learning and Multiobjective Parameter Tuning

Published:2021-10 Issue:10 Volume:147 Page:04021064
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Kravits Jacob¹^ORCID,Kasprzyk Joseph²^ORCID,Baker Kyri³,Andreadis Konstantinos⁴^ORCID

Affiliation:

1. Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, UCB 607, Boulder, CO 80309 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, UCB 607, Boulder, CO 80309. ORCID: .

3. Assistant Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, UCB 607, Boulder, CO 80309.

4. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Massachusetts Amherst, Amherst, MA 01003. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001414

Reference58 articles.

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2. Aboelata M. D. Bowles and M. McClelland. 2002. “GIS model for estimating dam failure life loss.” In Proc. 10th Engineering Foundation Conf. on Risk-Based Decision Making 126–145. Reston VA: ASCE. https://doi.org/10.1061/40694(2003)11.

3. Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests

4. ASCE. 2013. “Dams.” In Report card for America’s infrastructure, 14–16. Reston, VA: ASCE.

5. ASCE. 2017. “Dams.” In 2017 report card for America’s infrastructure. Reston, VA: ASCE.

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